RAND
RAND HRS Data Documentation,
Version N
Sandy Chien, Nancy Campbell, Orla Hayden, Michael Hurd,
Regan Main, Josh Mallett, Craig Martin, Erik Meijer,Michael
Moldoff, Susann Rohwedder, Patricia St.Clair
September 2014
Funded by the Social Security Administration
and the National Institute on Aging
Labor & Population Program
RAND Center for the Study of Aging
2
Preface
The Health and Retirement Study (HRS) is a longitudinal household survey data set for
the study of retirement and health among the elderly in the United States. It is
extraordinarily rich and complex. With the goal of making the data more accessible to
researchers, the RAND Center for the Study of Aging, with funding and support from the
National Institute on Aging (NIA) and the Social Security Administration (SSA), created
the RAND HRS data files. This document describes the RAND HRS data.
The RAND HRS is a user-friendly version of a subset of the HRS. It contains cleaned
and processed variables with consistent and intuitive naming conventions, model-based
imputations and imputation flags, and spousal counterparts of most individual-level
variables. All is elaborately documented, with special attention to comparability of
variables across survey waves.
The RAND HRS is the result of three distinct data developments. With funding from the
NIA, we created so-called Fat Files of each survey wave. In these files, the unit of
observation is an individual respondent. They contain most unrestricted HRS Variables.
Household-level variables were assigned to its member records, information about
spouses that was collected from the financially knowledgeable household member was
re-assigned to the spousal record, and many data integrity checks were performed. With
funding from the SSA, we created a longitudinal file with consistent naming conventions
and imputations. Unlike the Fat Files, this longitudinal file contained only a subset of
variables. It also contained some restricted variables. With subsequent funding from
SSA through the Michigan Retirement Research Center (MRRC), we removed restricted
data from the longitudinal file, added new cohorts and survey waves, new variables, and,
in collaboration with HRS staff, made the file publicly available on the HRS website.
The RAND HRS Data File (v.N) is a user-friendly file derived from all waves HRS. It
contains cleaned and processed variables with consistent and intuitive naming
conventions, model-based imputations, and spousal counterparts of most individual-level
variables. The RAND Enhanced Fat Files contain most of the original HRS variables
with household data merged to the respondent level. There is one file for each survey
year. Currently, there are files for 1992, 1993, 1994, 1995, 1996, 1998, 2000, 2002,
2004, 2006, 2008, 2010, and 2012. And the RAND Income and Wealth Imputation File
is a longitudinal file which contains the component and ownership variables for all waves
that were used in RAND HRS income and wealth summary measures. The imputations
are distributed as companion files to the RAND Enhanced Fat Files and summary
measures are incorporated into the RAND HRS file. All the RAND data products are
available to download from the HRS website
(http://hrsonline.isr.umich.edu/data/index.html). For more information about the RAND
HRS data products, please visit the RAND Center for the Study of Aging website at
http://www.rand.org/labor/aging.
3
We are grateful for the continuing support of and funding from the NIA and SSA. In
gaining access to and interpreting the HRS, we greatly benefited from the help and
insights of HRS staff members. In particular, we thank Bob Willis, Cathy Liebowitz,
Michael Nolte, David Weir, Thomas Juster, Dorothy Nordness, Marita Servais, Dave
Howell, Honggao Cao, Janet Keller, Theresa Norgard, Tom Blackburn, Gwenith Fisher,
and Jody Schimmel. We also acknowledge Howard Iams (SSA) and John Phillips (NIA)
for their guidance and suggestions on the file structure and distribution process. Howard
Iams, Melissa Koenig, Sharmila Choudhury, Irena Dushi of SSA continue to provide
valuable input with their suggestions for additional variables, including measures
regarding pensions, poverty, and retirement. We thank Kanika Kapur, Jeannette
Rogowski, and Nicole Maestas at RAND for their guidance and suggestions for
additional health insurance variables, and Lionel Deang of SSA for his input on these
variables.
We thank all the analysts using the data who have alerted us to problems and given us
suggestions. Previous versions of the data file benefited from the input of David Blau,
Adeline Delavande, Zach Gassoumis, Dan Waldo, Vipul Bhatt, Steven Haider,
Constantijn Panis, David Loughran, Nicole Maestas, Xiaoyan Li, Eric French, Christy
Thompson, Ann Huff Stevens, Daver Kahvecioglu, Bob Weathers, Peiyun She, David
Stapleton, Donna MacIsaac, Vicki Freedman, Jennifer Cornman, Yuyan Shi, Melissa
Rayner, Julie Zissimopoulos and Natalia Emanuel.
4
Contents
PREFACE ............................................................................................................. 2
WHAT’S NEW IN VERSION N OF THE RAND HRS? ......................................... 6
1.
1.1.
1.2.
1.3.
1.4.
INTRODUCTION AND OVERVIEW ............................................................ 9
Confidentiality and Access Restrictions .....................................................10
Data Files Structure ......................................................................................10
Variable Naming Conventions.....................................................................11
Missing Values ..............................................................................................13
2.
CONCEPTUAL VARIABLES .................................................................... 14
2.1.
Health Indices................................................................................................14
2.1.1.
Functional Limitations .................................................................................. 14
2.1.2.
Mental Health (RwCESD) ............................................................................... 15
2.1.3.
Health Conditions (RwCONDE) ...................................................................... 16
2.1.4.
Body Mass (RwBMI) ...................................................................................... 16
2.2.
Health Change...............................................................................................17
2.2.1.
Change in Overall Health.............................................................................. 17
2.2.2.
Change in Functional Limitations................................................................. 17
2.2.3.
Change in Diagnoses of Specific Health Conditions .................................... 18
2.2.4.
Change in Assessment of Relative Mortality................................................ 18
2.3.
Health Care Utilization and Medical Expenditures ..................................18
2.4.
Wages .............................................................................................................21
3.
WEALTH AND INCOME IMPUTATIONS .................................................. 23
3.1.
Background ...................................................................................................23
3.2.
Imputation Process .......................................................................................26
3.2.1.
Ownership Imputation .................................................................................. 26
3.2.2.
Bracket Imputation........................................................................................ 27
3.2.3.
Amount Imputation ....................................................................................... 28
3.2.4.
Covariates ..................................................................................................... 29
3.3.
Asset Verification ..........................................................................................32
3.4.
Substantive Differences Across Waves .......................................................33
4.
4.1.
4.2.
4.3.
4.4.
POVERTY THRESHOLD DEFINITIONS AND HRS MEASURES ............ 36
Method ...........................................................................................................37
Summary of Data Issues ...............................................................................38
Variables Included on the File .....................................................................39
Imputing Household Member Income ........................................................39
5.
5.1.
5.2.
SOCIAL SECURITY AND SSI DISABILITY EPISODES........................... 42
Program Type ...............................................................................................43
Episode Status ...............................................................................................43
5
5.3.
5.4.
6.
Episode Dates ................................................................................................44
Variables ........................................................................................................45
STRUCTURE OF CODEBOOK ................................................................. 47
7.
DISTRIBUTION AND TECHNICAL NOTES .............................................. 50
7.1.
Distribution files for Web Download ..........................................................50
7.2.
Programs and Macros ..................................................................................51
7.3.
The SAS Format Library .............................................................................53
7.3.1.
Using (or Not Using) the SAS formats ......................................................... 53
7.3.2.
Consumer Price Index (CPI-U) ..................................................................... 54
7.4.
Using the Data with Other HRS Files .........................................................54
8:
DATA CODEBOOK ................................................................................... 56
Section A: Demographics, Identifiers, and Weights .....................................................62
Section B: Health............................................................................................................228
Section C: Financial and Housing Wealth ...................................................................599
Section D: Income ..........................................................................................................692
Section E: Social Security..............................................................................................820
Section F: Pension ..........................................................................................................868
Section G: Health Insurance .........................................................................................906
Section H: Family Structure .........................................................................................970
Section I: Retirement Plans, Expectations...................................................................990
Section J: Employment History ..................................................................................1057
Appendix A, Version N ................................................................................................1191
Tables
Table 1. Source of data for entry cohorts in RAND HRS Data file by wave. .................. 11
Table 2. Missing Codes..................................................................................................... 13
Table 3. Distribution of Response Types on Stock Holdings (HRS 1994) ...................... 24
Table 4. Response Types and Required Imputations ........................................................ 26
Table 5. Load Factors on First Two Principal Components ............................................. 31
Table 6. Disability episode variables ................................................................................ 45
6
What’s New in Version N of the RAND HRS?
Version N incorporates the Early Release for 2012, which includes the Mid Baby Boomer
cohort and the most recent versions of the cross-wave Tracker and Region and Mobility
files. It contains 37,319 observations or rows. It is a respondent-level file so each row
represents a unique respondent. It also adds new variables and makes adjustments and
corrections. The current versions of the core and cross wave data used in Version N are:
- 1992 Final V1.01
- 1993 Final V2.1
- 1994 Final V1.0
- 1995 Final V2.0
- 1996 Final V4.0
- 1998 Final V2.3
- 2000 Final V1.0
- 2002 Final V2.0
- 2004 Final V1.0 (October 2006)
- 2006 Final Release V2.0 (September 2010)
- 2008 Final Release V2.0 (October 2012)
- 2010 Final Release V4.0 (March 2014)
- 2012 Early Release V1.0 (November 2013)
- Tracker 2012 Early V1.0 (June 2014)
- Cross-Wave Region and Mobility File V4.0 (May 2013)
- Master ID File V5 (December 2009)
- Cross-Wave Imputation of Cognitive Functioning Measures 1992-2010
We have made the following adjustments, improvements, and corrections to the data and
documentation:
Asset measures
- The new 2012 data from the asset verification section (section U) include
corrections to the 2010 wealth amounts, which we have incorporated in our 2010
wealth measures.
- We corrected a small mistake in the imputations of values in the top open bracket,
which caused a few large imputed wealth outliers in AHEAD 1993. This appears
to have otherwise little impact on the distributions of the imputed variables.
- We corrected a few other minor imperfections in the implementation of the
imputation methods. Detailed information about the changes in the imputations
will be supplied upon request.
- About 35 to 40 percent of cases in all waves have changed in version N compared
to version M due to the sum of all revisions to the wealth measures. As a result,
total wealth in version N is about $2000-$10,000 per household higher on
average, depending on the wave. Changes for individual households tend to be
larger than the aggregate changes, due to the random component of the
imputations. Among the cases with a change in total wealth, the median absolute
7
change varies between about $12,000 and $22,000, depending on the wave,
except for 2010, where the median absolute change was $34,000.
Overall, the larger changes in any one wave tend to come from revisions for cases in the
top open-ended brackets. In the case of the 2010 wave, the section U revisions (based on
respondents’ self-reports) cause additional asset revisions, some of which also involve
large changes.
Pensions
Beginning in Wave 11, there was a major change as to how HRS records respondents’
pensions. The respondent is no longer asked how many pensions he or she has on the
current job or on previous jobs. Instead, the questionnaire aims to establish a complete
inventory of all pensions that the respondent may have pertaining to current or any prior
jobs. The respondent is first asked about all pensions that he or she reported in a previous
wave, as well as any new pensions the respondent may have. This inventory of pensions
is recorded in the data at the pension level so that in the 2012 data, one respondent can
have multiple observations depending on the number of past and current pensions s/he
holds. We have aggregated these pension records to create respondent-level variables
that are longitudinally comparable to the pension variables provided in the RAND HRS
in the past: whether the respondent has any pension on the current job (RwJCPEN), the
number of pensions on the current job (RwPENCT), and the pension type
variables (RwPTYP1-4, RwPTYPD1-4 and RwPTYPF1-4).
Analysts should be aware that even though the pensions variables we have derived
capture the same concepts across waves, the pensions information available in Wave 11
was elicited in a very different manner compared to prior waves. Please see the sections
“How constructed” and “Cross-wave differences” for these variables for further detail.
Disability
We made a slight adjustment to our method for assigning missing date fields to the
Disability Date variables. All imputed dates are now set to the 15th of the month. We
also corrected a glitch in our code which resulted in 8 observations having imputed date
changes, with the largest change being 7 months.
The RAND/HRS data project is committed to producing high quality data for analysis.
To this end, we have employed many innovative programming and quality assurance
techniques including paired peer programming, standardized macros, and independent
review. If you do, however, notice any undocumented discrepancies or apparent
problems with the data, please let us know by e-mailing us ([email protected]).
Though we have attempted to derive measures that are consistent across waves, the
underlying HRS data do not always allow this. Some of the native inconsistencies are
present in our derived measures, but should be documented in detail in this codebook.
8
Before using any measure comparatively across interview years, please be sure to read
the variable description in this codebook carefully, particularly the sections on “How
Constructed” and “Cross-Wave Differences in the Original HRS Data” that are included
for each variable. If there are cross-wave differences that we have not documented,
please let us know ([email protected]).
1. Introduction and Overview
1.
9
Introduction and Overview
This report documents the RAND HRS Data files, a cleaned, processed, and streamlined
collection of variables derived from the Health and Retirement Study (HRS). The HRS is
a national panel survey of individuals over age 50 and their spouses. Its main goal is to
provide panel data that enable research and analysis in support of policies on retirement,
health insurance, saving, and economic well-being. The survey elicits information about
demographics, income, assets, health, cognition, family structure and connections, health
care utilization and costs, housing, job status and history, expectations, and insurance.
The HRS is primarily sponsored by the National Institute of Aging (NIA), with additional
funding from the Social Security Administration (SSA) and administered by the Institute
for Social Research (ISR) at the University of Michigan. It consists of six cohorts:
•
•
•
•
•
•
Initial HRS cohort, born 1931 to 1941. This cohort was first interviewed in 1992 and
subsequently every two years.
AHEAD cohort, born before 1924, initially a separate study (The Study of Assets and
Health Dynamics Among the Oldest Old). This cohort was first interviewed in 1993
and subsequently in 1995, 1998, and subsequently every two years.
Children of Depression (CODA) cohort, born 1924 to 1930. This cohort was first
interviewed in 1998 and subsequently every two years.
War Baby (WB) cohort, born 1942 to 1947. This cohort was also first interviewed in
1998 and subsequently every two years.
Early Baby Boomer (EBB) cohort, born 1948 to 1953. This cohort was first
interviewed in 2004.
Mid Baby Boomer (MBB) cohort, born 1954 to 1959. This cohort was first
interviewed in 2010.
In addition to respondents from eligible birth years, the survey interviewed the spouses of
married respondents or the partner of a respondent, regardless of age. Some of the HRS
and AHEAD entry cohort respondents were spouses of HRS- and AHEAD-eligible
individuals who are age-eligible for the CODA or WB cohorts. These HRS and AHEAD
spouses are given weights beginning in 1998 (Wave 4) so that they contribute to the
representation of the CODA/WB birth year population. Some spouses of the initial HRS
entry cohort respondents were age 70 or older and were subsequently included in the
AHEAD study. These so-called HRS/AHEAD overlap cases may thus have been
interviewed in 1992, 1993, 1995, and from 1998 forward.
The RAND HRS, Version N, contains all six cohorts. This document refers to the entire
survey as the HRS and the 1931-41 cohort that was first interviewed in 1992 is labeled
the “initial” or “original” HRS entry cohort.
1. Introduction and Overview
10
The HRS contains several auxiliary files. The RAND HRS data file only incorporates the
core interviews. It does not include exit interviews or any restricted data, but does use
information from the current Tracker, Region and Mobility, and Master ID files.
The data include any individual interviewed at least once. This includes individuals who
were age-eligible (born in eligible years) at the time of their first interview, spouses that
were not age-eligible at baseline, and spouses who married an age-eligible respondent
between survey waves.
The HRS over-samples Hispanics, Blacks, and residents of Florida, and provides
weighting variables to make it representative of the community-based population.
As of September 2014, 13 waves of data are available for study. The data described in
this document are based on 1992, 1993, 1994, 1995, 1996, 1998, 2000, 2002, 2004, 2006,
2008, and 2010 final data releases, and the early release for 2012.
1.1.
Confidentiality and Access Restrictions
The data described in this document are based on HRS public release files. Before using
the data, you must have obtained permission from HRS by registering with them for
downloading the public release files. The HRS website contains information on the
process to register for access to HRS public release data (https://ssl.isr.umich.edu/hrs).
By registering with HRS you agree to the “Conditions of Use” governing access to the
data. This agreement applies to the use of the RAND HRS Family data as well. There is
NO RESTRICTED DATA on the RAND HRS Family data set.
1.2.
Data Files Structure
The RAND HRS Data are distributed as a single file which includes 11 waves of the
HRS. The data contain respondents within the HRS, AHEAD, CODA, WB, EBB and
MBB entry cohorts. Table 1 lists the source year of data for each of the entry cohorts, by
wave. The 1993 data are treated as Wave 2 data and the 1995 data are treated as Wave 3
data for the AHEAD entry cohort. The 1994 data are treated as Wave 2 data and the
1996 data are treated as Wave 3 data for the HRS entry cohort. The AHEAD and HRS
survey instruments in these years differed significantly. This documentation
distinguishes between the instruments by using Wave 2A and Wave 3A to refer to the
1993 and 1995 data for the AHEAD entry cohort , and Wave 2H and Wave 3H to refer to
the 1994 and 1996 data for the HRS entry cohort.
1. Introduction and Overview
11
Table 1. Source of Data for Entry Cohorts in RAND HRS Data File by Wave.
Entry Cohort
Wave
HRS
AHEAD
HACOHORT=3
CODA
WB
EBB
MBB
HACOHORT=2
HACOHORT=4
HACOHORT=5
HACOHORT=6
HACOHORT=0,1
1992
1
1992
(HRS/AHEAD
overlaps only)
Not available
1993 (Wave 2A)
Not available
1995 (Wave 3A)
Not available
3
1994 (Wave
2H)
1996 (Wave
3H)
4
1998
1998
1998
1998
5
2000
2000
2000
2000
6
2002
2002
2002
2002
7
2004
2004
2004
2004
2004
8
2006
2006
2006
2006
2006
9
2008
2008
2008
2008
2008
10
2010
2010
2010
2010
2010
2010
11
2012
2012
2012
2012
2012
2012
2
Not
available
Not available
The unit of observation is an individual. Each individual is uniquely identified by a
household ID (HHID) and a person number (PN). We combined these variables into a
single ID variable, HHIDPN (HHIDPN: HHold ID + Person Number /Num), where
1
HHIDPN = 1000*HHID+PN. This file may be merged with other HRS data by HHIDPN.
The RAND HRS Data file is distributed in SAS, Stata, and SPSS formats, as one file that
includes all 11 waves.
1.3.
Variable Naming Conventions
With few exceptions, variable names in the RAND HRS Data follow a consistent pattern.
The first character indicates whether the variable refers to the reference person (“R”),
spouse (“S”), or the household (“H”). 2 The second character indicates the wave to which
the variable pertains: “1”, “2”, “3”, “4”, “5”, “6”, “7”, “8”, “9”, “10”, “11”, or “A”. The
1
This HHIDPN variable is numeric. Also available is RAHHIDPN (RAHHIDPN: HHold ID + Person Num /9Char), its 9-character string equivalent.
2
The reference person need not be the person who responded to the question. It is the person whose
information is central to the data file observation.
1. Introduction and Overview
12
“A” indicates “all,” i.e., the variable is not specific to any single wave. An example is
RABDATE, the birth date of the respondent. The remaining characters describe the
concept that the variable captures. For example:
S2HLTHLM
Health problem limiting work
Wave 2 (1993 and 1994)
Spouse
Variable S2HLTHLM captures whether the spouse of the reference person experiences an
impairment or health problem that limits the kind or amount of paid work he/she can do.
The name of the variable does not indicate who provided the information. For example,
the spouse’s health problem may have been reported by the spouse himself or herself, or
it may have been reported by the reference person as a proxy. The HRS obtains many
variables, particularly on financial and family matters, by proxy.
In the text below, we may refer to variables such as SwHLTHLM for example, without
specifying the wave. This reference points at the group of variables S1HLTHLM,
S2HLTHLM, S3HLTHLM, S4HLTHLM, S5HLTHLM, S6HLTHLM, S7HLTHLM, S8HLTHLM,
S9HLTHLM, S10HLTHLM, AND S11HLTHLM.
Variable labels also follow a consistent pattern. The first characters denote the name of
the variable, followed by a colon. Then follows the wave to which the variable pertains
(W1, W2, W3, W4, W5, W6, W7, W8, W9, W10, OR W11). The remainder of the label
describes the concept that the variable captures. For example, the variable label of
S2HLTHLM is:
S2HLTHLM:W2 Hlth problems limit work
It may seem duplicative to include the name of the variable and the wave in the variable
label. However, SAS often suppresses the variable name and instead uses its label in the
presentation of results.
1. Introduction and Overview
1.4.
13
Missing Values
Variables may contain missing values for several reasons. SAS and Stata offer the
capability to distinguish multiple types of missing values, and we have attempted to
record as much information as possible. Generally, the codes adhere to the classification
in Table 2.
Table 2. Missing Codes
Code
.
.D
.R
.X
.Q
.U
.V
.S
.M
Reason for missing
Reference person did not respond to this wave
Don’t know
Refused
Does not apply (specifics depend on variable)
Data not available because of HRS and AHEAD survey
instrument differences in Wave 2 or 3
Reference person is not married (for spouse variables)
Spouse did not respond this wave (for spousal variables)
Information not available due to skip patterns, typically
because the interview is by proxy respondent
Other missing
The coding scheme varies across variables. Consult the Data Codebook section of this
document for details on individual variables.
Stata introduced the ability to distinguish multiple types of missing values in its Version
8. The RAND HRS files in Stata format are for use with Version 8 or later.
2.Conceptual Variables
2.
14
Conceptual Variables
Only a few variables in the RAND HRS Data files are unchanged copies of raw HRS
variables. Most variables have undergone some processing, and many are the result of
more than one HRS variable. Generally, the codebook indicates the names of HRS
variables that were used to construct the relevant variable.
Some variables, such as RwJLTEN (tenure on longest job) and RwMLEN (duration of
longest marriage) required elaborate manipulation of many variables from several
sections of the HRS, but are conceptually straightforward. This section documents
variables whose construction involved substantive judgments of key research concepts:
health, health change, medical expenditures, and wages.
2.1.
Health Indices
We define and derive four groups of health indices: several functional limitation indices,
one depression index, one health problem index, and a body mass index. We also include
cognitive health indices for which the HRS has provided imputations. A description of
each index follows.
2.1.1. Functional Limitations
The RAND HRS Data contain six primary functional limitation indices. We chose these
indices for their comparability with studies that measure functional limitations, our
assessment of their quality, and for consistency across survey waves. We first derive a
variable that indicates if the respondent had difficulty performing a task (0=no difficulty;
1=difficulty). The exact question asked of the respondent varies slightly across the
survey waves. The responses defined by HRS are quite different in Wave 1 compared to
other waves, so we do not include these measures for Wave 1. 3 Our measure of difficulty
is defined to be comparable across the rest of the waves. The codebook provides details
on the definition and calculation of ‘difficulty’ for all waves. All indices are the sum of
the number of difficulties a respondent has completing a particular set of tasks, and uses a
definition of difficulty that is comparable across waves. Each index and the set of tasks
used in the index are defined below. The variable name, for an unspecified wave, is
given in parenthesis next to the index name.
Mobility (RwMOBILA): The five tasks included in the mobility index are walking several
blocks, walking one block, walking across the room, climbing several flights of stairs and
climbing one flight of stairs. Note that this index is missing for AHEAD entry cohort
3
For Wave 1 only, we provide another measure of difficulty as defined in Wallace and Herzog (1995). The
names of variables using this definition end in the letter “W”. These are not comparable to the “some
difficulty” measures in other waves.
2.Conceptual Variables
15
respondents and their spouses in Wave 2, because one or more of the elements in the
index is not available in Wave 2A.
Large Muscle (RwLGMUSA): The four tasks included in the large muscle index are sitting
for two hours, getting up from a chair, stooping or kneeling or crouching, and pushing or
pulling a large object. Note that this index is missing for AHEAD entry cohort
respondents and their spouses in Wave 2, because one or more of the elements in the
index is not available in Wave 2A.
Activities of Daily Living (RwADLWA, RwADLA): We define two activities of daily living
indices. RwADLWA follows Wallace and Herzog (1995) and includes three tasks: bathing,
eating, and dressing. RwADLA includes five tasks: bathing, eating, dressing, walking
across a room, and getting in or out of bed.
Gross Motor Skills (RwGROSSA): The four tasks in this index are chosen because of their
consistency across waves. They include walking one block, walking across the room,
climbing one flight of stairs, and bathing. Note that this index is missing for AHEAD
entry cohort respondents and their spouses in Wave 2, because one or more of the
elements in the index is not available in Wave 2A.
Fine Motor Skills (RwFINEA): The three tasks included in this index are: picking up a
dime, eating, and dressing.
Instrumental Activities of Daily Living (RwIADLA, RwLMCOGA, RwIADLZA): Not all waves
ask the same Instrumental Activities of Daily Living (IADL) tasks. The usual IADLs
were not asked in Wave 1. RwIADLA is consistent across all survey waves starting with
Wave 2 and include: using a telephone, taking medication, and handling money. The
tasks of RwIADLZA are asked in Wave 2A and from Wave 3 forward and include: using a
telephone, taking medication, handling money, shopping, preparing meals.
2.1.2. Mental Health (RwCESD)
Depression (RwCESD): We derive one mental health index, RwCESD, using a score on the
Center for Epidemiologic Studies Depression (CESD) scale. The CESD score (RwCESD)
is the sum of five “negative” indicators minus two “positive” indicators. The negative
indicators measure whether the respondent experienced the following sentiments all or
most of the time: depression, everything is an effort, sleep is restless, felt alone, felt sad,
and could not get going. The positive indicators measure whether the respondent felt
happy and enjoyed life, all or most of the time. In Wave 1 the allowable responses to
these questions are quite different that those in other waves, so this measure is not
derived for Wave 1.
Cognition: The HRS has selected a set of measures related to cognitive function that are
collected fairly consistently across waves, and have imputed values for them when they
2.Conceptual Variables
16
are missing. The imputations are publicly available from the HRS website 4, and we have
included them in the RAND HRS. The selected cognitive functioning measures include
immediate and delayed word recall, the serial 7’s test, counting backwards, naming tasks
(e.g., date-naming), and vocabulary questions. In addition to the individual cognitive
functioning measures, the HRS also derived three cognition summary indices, which we
include in the RAND HRS. The total recall index (RwTR20, R1TR40, RwATR20,
RwHTR40) is available in all waves and summarizes the immediate and delayed word
recall tasks. In Waves 1 and 2H, the recall wordlist contained 20 words, while in all
other waves it contained 10. Thus the scores range from 0 to 40 in Waves 1 and 2H and
from 0 to 20 in other waves. The mental status index (RwMSTOT, R2AMSTOT) sums scores
from counting, naming, and vocabulary tasks and is available for Wave 2A and from
Wave 3 forward. This reflects the absence of some of these tests in Waves 1 and 2H. A
total cognition score (RwCOGTOT, R2ACGTOT) sums the total recall and mental status
indices. Because the mental status index is missing for Waves 1 and 2H, the total
cognition index is also missing for these waves.
2.1.3. Health Conditions (RwCONDE)
We derive one health problem index, RWCONDE that is the sum of indicators for
whether a doctor has ever told the respondent that he or she has ever had a particular
disease. The eight included diseases are: high blood pressure, diabetes, cancer, lung
disease, heart disease, stroke, psychiatric problems, and arthritis. In interviews after the
baseline, prior responses were preloaded. 5 Each disease condition indicator variable has
a corresponding flag variable that indicates whether the respondent disputed the previous
wave’s indicator and whether the respondent later denied having the condition through
such a dispute. Note that the RwCONDE time series is not appropriate for tracking
changes in the prevalence over time, and the individual variables without disputes
incorporated should be used instead. These are available as a series of variables that
recode the raw responses found in the HRS data.
2.1.4. Body Mass (RwBMI)
We derive one body mass index (RwBMI) that is calculated as weight divided by the
square of height. Height is converted into meters and weight into kilograms. Beginning
in Wave 3, height is only asked of new respondents, but weight is asked in every wave.
For respondents being re-interviewed, height is carried forward from their first interview.
4
Please refer to Documentation of Cognitive Functioning Measures in the Health and Retirement Study.
(Ofstedal et.al., 2005) and HRS Imputation of Cognitive Functioning Measures: 1992 - 2010 Data
Description (Fisher et.al., 2012) for details on the imputation method.
5
The term “preloading” refers to information from a prior wave that the interviewer uses to prompt the
respondent. For example, suppose a respondent indicated in Wave 2 that he had been diagnosed with
diabetes. In Wave 3 questions, the interviewer will use this information. Typically, the respondent is
allowed to challenge preloaded information.
2.Conceptual Variables
2.2.
17
Health Change
We define and derive four groups of indices for health change: overall health, functional
limitations, diagnosis, and subjective mortality risks. The health change indices are
chosen for their quality in assessing health change and for their consistency across waves.
Health change is calculated as health status in the current wave minus health status in the
previous wave.
If a respondent did not answer a health question in a certain wave (item non-response),
the corresponding health change variable in that wave is set to missing. Similarly, if a
respondent did not participate at all in a certain wave (interview non-response), the
corresponding health change variable in that wave is set to missing. If he did participate
in the next wave, the health change variable of that next wave will be based on the most
recent wave in which the respondent participated, i.e., the change pertains to a change
over four years instead of two. (Should the response to the health question in that most
recent participatory wave be missing, the change will also be missing.) Separate flag
variables indicate how many interviews were missed prior to the current wave.
Additional flag variables are included to indicate that the respondent disputed preloaded
information.
2.2.1. Change in Overall Health
Change in Self Reported Health (RwSHLTC): These variables measure the change in selfreports of health categories “excellent,” “very good,” “good,” “fair,” and “poor.” The
health categories are numbered from 1 (excellent) to 5 (poor), so that positive values of
the change in self-reported health denote deterioration. This measure is not available in
the baseline wave.
Self Report of Health Change (RwHLTC): The HRS also directly asks about changes in
health. The responses may be “much better” (1), “somewhat better” (2), “same” (3),
“somewhat worse” (4), and “much worse” (5). Higher values denote a health
deterioration. In Wave 1 for the HRS entry cohort and Wave 2 for the AHEAD entry
cohort, the change in health is relative to one year ago; in subsequent waves, the changes
are relative to the previous interview, two years ago.
2.2.2. Change in Functional Limitations
Activities of Daily Living (RwADLC): This variable measures the change in the index for
activities of daily living (RwADLA). See above for more information on this index. It is
not available in the baseline wave. Because of problems in the underlying HRS data, it is
not available until Wave 3 for the HRS entry cohort.
Gross Motor Skills (RwGROSSC): This variable measures the change in the index for gross
motor skills (RwGROSSA). See above for more information on this index. It is not
2.Conceptual Variables
18
available in the baseline wave. Because of problems in the underlying HRS data, it is not
available until Wave 3 for the HRS entry cohort.
Fine Motor Skills (RwFINEC): This variable measures the change in the index for fine
motor skills (RwFINEA). See above for more information on this index. It is not available
in the baseline wave. Because of problems in the underlying HRS data, it is not available
until Wave 3 for the HRS entry cohort.
2.2.3. Change in Diagnoses of Specific Health Conditions
We derive one set of variables that measure the increase in the number of health
conditions since the last interview. The number of health conditions (high blood
pressure, diabetes, cancer, lung disease, heart disease, stroke, psychiatric problems,
arthritis) is captured in variables RwCONDE (see above); the increase since the last
interview is in RwCONDS. It is not available in the baseline wave.
2.2.4. Change in Assessment of Relative Mortality
Change in Relative Probability of Living to Age 75 or 85 (RwLIV75C, RwLIV85C): We
constructed two sets of variables that measure change in relative mortality risk. The HRS
asks for subjective probabilities of living to age 75 and to age 85. We first computed the
ratio of these reported probabilities to the probability implied by the annual Vital
Statistics life tables (controlling for age and sex). The annual table used corresponds to
the interview year, except for 2008. The 2008 Life Tables are not yet available; for these
years the 2006 Life Table is used. We then took the difference in these relative mortality
risks between waves. These indices are not available in the baseline wave.
In Waves 2A (AHEAD 1993), 3A (AHEAD 1995), and from Wave 5 (HRS 2000)
forward, the wording for the question analogous to the subjective probability of living to
age 85 changed significantly enough that the change variable is no longer longitudinally
consistent. Please see the description of these variables in the Data Codebook Appendix
for more details.
2.3.
Health Care Utilization and Medical Expenditures
The construction of health care utilization and medical expenditures variables is
complicated by differences in the questions across waves. In Wave 1 (1992), respondents
were asked about hospital stays, nursing home stays, doctor visits, and home health care
in the twelve months prior to the interview. For each service, the respondent was also
asked to quantify their use (e.g., nights in hospital, number of doctor visits). There were
no questions about the costs of those services. In Wave 2H (1994), the respondents were
asked about the same types of services, plus prescription drug use, for the two years
between survey waves. In addition, they were asked whether the care was covered fully
2.Conceptual Variables
19
or partly by insurance, and to estimate the out-of-pocket expenditures for all services
combined. If the respondent did not provide an exact amount, unfolding bracket
questions were asked. Wave 3H expanded this section substantially with three additional
service categories: outpatient surgery, dental care, and special facility services. As in
Wave 2H, it also asked whether the costs of these services were fully or partly covered by
insurance. Wave 3H then asked respondents to estimate out-of-pocket expenditures for
four groups of services: hospital/nursing, doctor/outpatient/dental, prescription drugs, and
home health care/special facilities. Finally, it asked for an estimate of total medical costs
(out-of-pocket plus covered expenditures) for all medical services combined since the
previous interview. If the respondent did not provide an exact amount to any expenditure
question, the usual unfolding bracket follow-up questions were asked. Waves 4 and 5
follow the Wave 3H structure for the out-of-pocket (OOP) expenditures. From Wave 6
forward, the questions ask about each type of OOP expenditure separately, so the services
are: hospital, nursing home, doctor visits, dental care, outpatient surgery, prescription
drugs, home health care, and special facilities. In Wave 8, information about Medicare
Part D is collected. Two questions ask those covered by Part D if their use or costs of
prescription drugs changed. If the answer to either of these questions is “yes,” then two
average monthly out-of-pocket amounts are collected, one for the 12 months prior to
coverage under Part D and the other for the time after. If the respondent is not enrolled in
Part D or did not report any change, the usual single question about monthly out-ofpocket expenses is asked.
From Wave 4 to Wave 6, an exact amount of total expenditures is not asked; all
respondents were directed into unfolding bracket questions. Starting Wave 7, there are
no questions about total medical expenditures.
For the AHEAD entry cohort the questions in Wave 2A (1993) differed substantially
from those asked in Wave 2H (HRS entry cohort in 1994), but the Wave 3A (1995)
questions mirrored those asked in Wave 3H (1996), except that an exact amount of total
expenditures was not asked. Because 1993 is the baseline year for this cohort, Wave 2A
respondents are asked about medical services in the twelve months prior to the interview.
The questions ask about hospital stays, nursing home stays, doctor visits, and prescription
drug use, as in Wave 2H, but also ask about outpatient surgery, dental care, and special
facility services, so contains information about the same types of services as Waves 3H,
4, and 5. However, in 1993, the Financial Respondent was asked some medical
utilization and all medical expenditure questions, which differs from all other waves. In
addition, each respondent was asked some utilization questions. 6 Questions asked only
of the Financial Respondent yield household-level data, and those asked of all
respondents yield respondent-level data. 7 The Wave 2A Financial Respondent was asked
6
In 1993, each respondent was asked questions about hospital stays and their duration, nursing home stays
and their duration, doctor’s visits and their number, outpatient surgery, dental care, and prescription drugs
and their quantity. The Financial Respondent was asked questions about whether either in a couple had any
hospital stays, nursing home stays, doctor visits, outpatient surgery, dental care, prescription drugs, home
health care, and other services, but was not asked to quantify any of these.
7
Note that when both levels are available, the Financial Respondent’s household-level information may not
agree with the information given by individual respondents in all cases. If there is any disagreement, the
2.Conceptual Variables
20
to estimate out-of-pocket expenses for only two categories: nursing home stays and all
other medical expenditures without specific reference to any of the reported utilization.
Both of these estimates were for the household, not the individual, so for a couple
household, they included the out-of-pocket expenses for two people. No questions asked
about total medical expenditures.
We impute a consistent measure of out-of-pocket medical expenditures (RwOOPMD)
across all waves using the following method. We start by imputing out-of-pocket
expenditures in the service categories in Waves 3 forward. If an individual reports using
a given service category and reports having partial or no insurance for that category, we
take the exact expenditure he/she reports. We do not impute utilization. Approximately
half of those who report using a given service did not provide an exact amount; for those
cases, we impute an exact amount using bracketed responses. The imputation algorithm
is the same as used for income and wealth, excluding “ownership” imputation; see
Section 3. The imputation model predictors are age, age-squared, education, subjective
health status, gender, marital status, race, whether an individual has any health insurance,
whether an individual reported a hospital or nursing home stay, number of doctor visits,
and whether the hospital, nursing, or doctor visit data are missing. Individuals who
report not using a given service category or having full coverage are assigned a value of
zero for that category. Out-of-pocket expenditures are summed across service categories
to calculate total out-of-pocket expenditures. The procedure produces an imputed value
for out-of-pocket for all individuals in the sample, including those with missing data.
The measures capture expenditures for all medical services combined.
Because there are no continuous total medical expenditure questions asked in Waves 1, 2
and 7 forward, we include the bracketed value reported for total medical expenditures
(RWTOTMB) for Waves 3 to 6. We impute complete brackets when incomplete bracket
information is provided (RwTOTMBI) using the normal imputation methods.
For Wave 2A, we start by imputing out-of-pocket expenditures in the two service
categories in Wave 2A, nursing home expenses and all other medical expenses, both of
which are reported for the household. If the Financial Respondent failed to provide an
exact amount, bracketed responses are available for both these categories. For this wave,
the out-of-pocket expense also needs to be allocated to individuals in couple households.
Only one couple reported both having any nursing home stay. In this case, the
household-level expense was allocated to the individuals based on the relative length of
all stays. For all other households, the individual who had the nursing home stay was
allocated the household level amount. The imputation process was then carried out as
described above at the individual level for out-of-pocket nursing home expenses. The
imputation for all other medical expenses is carried out at the household level first, and
then allocated to individuals in a second step. For consistency with other waves, values
are derived for non-nursing home out-of-pocket expenses only if an individual reports
using at least one service category other than nursing home stay, and reports having
partial or no insurance for any of those categories. If given, we take the exact
respondent’s own report is used. Where necessary and possible for utilization variables, we use household
level data to fill missing spouse information.
2.Conceptual Variables
21
expenditure reported. If an exact amount wasn’t reported, we impute an exact amount
using bracketed responses. The imputation algorithm is the same as used for income and
wealth, excluding “ownership” imputation; see Section 3, using the same covariates as
are used for medical expenditure imputations described above. For the household level
imputation, both male and female covariates are used. If no uncovered utilization is
reported, zero is assigned. If the household is a single individual or if only one individual
in a couple reports any utilization, the total imputed household level amount is assigned
to that individual. Two additional imputation models are used in order to allocate the
expense among the couples where both have any service not covered by insurance. In
these models, the sample and covariates are at the respondent level. In the first model,
we assume the Financial Respondent is missing the expense and assign the spouse the
entire imputed household-level amount. In the second model, we reverse the situation,
assuming the spouse is missing the expense. We use the resulting imputed expenses only
to calculate a proportion based on the Financial Respondent’s expense imputed from the
first model and the spouse’s expense imputed from the second. We use that proportion to
allocate the imputed household level expense to these individuals. This individually
allocated amount is then summed with out-of-pocket nursing home expense. The
imputed household-level amount is included in the data as well (H2OOPMD). For some
households, no uncovered expenses were reported, but some out-of-pocket medical
expenses (excluding nursing home) were. These probably represent expenses for services
not specifically asked about, such as durable medical equipment or over-the-counter
drugs. If no uncovered expenses were reported, H2OOPMD is set to zero, even if some
out-of-pocket expense was given. A second version of total out-of-pocket expenses is
imputed without restricting the sample to those reporting an uncovered medical expense.
This is included on the file as H2OOPMA.
Because Wave 1 has no expenditure data and Wave 2H has out-of-pocket expenditures
for only a subset of the Wave 3 and 4 services, we impute total out-of-pocket for all
respondents in those waves. We do this by first running regressions of (the logarithm of)
total out-of-pocket on the covariates listed above using pooled Waves 3H and 4 data. We
then use these estimated equations to predict medical expenditures in Waves 1 and 2.
This method uses expenditure data from Waves 3H and 4 to predict amounts in Waves 1
and 2. We account for inflation by first deflating all expenditure data to constant 1992
dollars using the medical care services series of the CPI; then carrying out the
imputations; and finally inflating the amounts using the medical services series and redeflate using CPI-U, thus adjusting the amounts for differences between the medical care
services series of the CPI and CPI-U.
2.4.
Wages
We construct wages using data on labor earnings and labor supply from the HRS
Employment Section. This section focuses on the respondent’s main job. The HRS first
asks respondents whether they are currently working, unemployed, temporarily on leave,
disabled, retired, or a homemaker. From individuals currently working for pay, the HRS
asks to report normal hours per week and weeks per year worked on the main job. All
2.Conceptual Variables
22
individuals are asked whether they receive a regular salary, work by the hour, perform
piecework, or get paid in some other manner. Regardless of the answer, they are then
allowed to report their earnings from their main job in any interval they desire. That is,
they can report their earnings as hourly, weekly, biweekly, monthly, yearly, or over some
other interval. Self-employed individuals are also asked to report any profits they receive
from their main job.
The RAND HRS Data contain both hourly and weekly wages. Hourly are stored in
variables RwWGIHR; weekly wages in RwWGIWK. We scale reported earnings up or down
to arrive at hourly and weekly wages as necessary. For example, if a respondent reports
an hourly wage then we assign that as his hourly wage and multiply it by reported hours
worked per week to calculate the weekly wage. Individuals reporting a weekly wage are
assigned that as their weekly wage and their weekly wage divided by hours worked per
week as their hourly wage. We include both hourly and weekly wages in the data so that
a wage rate is available even if hours worked per week is missing. Annual wages are
scaled down in a similar fashion by annual number of weeks worked. We assume that
biweekly and monthly wages represent wages for two and 52/12 weeks, respectively. We
treat self-employed profits identically to earnings. Flag variables indicate whether the
wage rate is self-reported, derived from self-employed profits, or imputed (see below).
We do not include overtime wages in our figures. All wages are reported in nominal
dollars.
The wage rate variables are missing for individuals that are out of the labor force or that
did not provide sufficient information to calculate an hourly or weekly wage. Out of the
labor force includes retired, disabled, on temporary leave, and homemaker. The resulting
data contain non-missing hourly wages for 7378, 6817, 5777, 7171, 6179, 4959, 6433,
5547, 4978, 7576 and 6639 individuals in Waves 1-11, respectively. Weekly wages are
available for 7400, 6842, 5829, 7200, 6213, 4985, 6477, 5581, 5006, 7607 and 6676
individuals. The differences in missing rates arise from missing information on the
number of hours worked per week. The increasing number of missing values across
Waves 1-3 is due primarily to the increasing number of retirees, the increase in nonmissing wages at Wave 4 is due to the addition of the CODA and WB cohorts, and the
increase at Wave 7 is due to the addition of the EBB cohort. The means and medians of
these calculated wages appear to be within reason across waves and are consistent with
labor income reported in the assets and income section.
We imputed wages for the unemployed (408, 323, 233, 239, 207, 246, 313, 215, 238, 899
and 674 individuals in Waves 1-11). We use two methods for imputing such wages.
First, the unemployed are asked to report the wage on their last job since the previous
interview. If available, we use that wage as the current wage. If not available, we take
the wage reported in the previous wave. If that wage is not available either, we proceed
backwards through successive waves until we find a valid wage for that individual. This
includes using information from the individual’s Wave 1 job history file, if necessary.
The prior wage is then adjusted to the current interview year using CPI-U. This method
produces an imputed wage for approximately 90 percent of unemployed individuals. For
the remaining unemployed, we predict wages from the full sample using a regression of
3. Wealth and Income Imputations
23
(the logarithm of) wages on age, age-squared, education, race, marital status, whether
unemployed in any wave, and Census region of residence. We include flag variables
(RwWGFHR for hourly and RwWGFWK for weekly wages) to indicate whether a wage rate
was imputed, and which imputation method was used.
3.
3.1.
Wealth and Income Imputations
Background
The RAND HRS data contain a number of wealth and income variables. Where missing,
we imputed their values. In this chapter, we give an overview of the question sequences
and imputation methods. A detailed technical description can be found in Hurd, Meijer,
Moldoff, and Rohwedder (2014).
Most HRS and AHEAD questions on wealth and income follow the same pattern.
Consider holdings of stocks and mutual funds as an example. First, the interviewer asks
whether the respondent (or his/her spouse or partner) owns any shares of stock or stock
mutual funds. If affirmative, the interviewer asks the value of these stock holdings. If
the respondent is unable or unwilling to provide an exact amount, the interviewer asks
whether it is more than $25,000. If the answer is “more than $25,000,” the interviewer
asks whether it is more than $125,000, whereas if the answer is “less than $25,000,” the
interviewer asks whether it is more than $2,500. Depending on the responses, the range
is narrowed down to $0-2,500; $2,500-25,000; $25,000-125,000; $125,000-400,000;
$400,000 or more. These ranges are known as “brackets;” the sequence of probes into
increasingly narrow ranges are known as “unfolding brackets” questions. The brackets
vary by asset and income category, and the cut-off values (also known as thresholds),
though generally stable, can change between waves. For example, the cut-off values for
dividend and interest income in HRS 1994 (Wave 2H) are $200, $500, $2,500, and
$10,000, while in HRS 1996 (Wave 3H) are $1,000, $5,000, and $25,000.
The respondent may opt out of the question sequence at any time. As a result, the raw
data contain valid zero-value responses, exact amounts, complete bracket responses,
incomplete bracket responses, claim of ownership without any information about the
value, and unknown ownership. (We also use the term “ownership” to indicate whether a
household or individual receives a certain kind of income or holds a certain kind of debt.)
An incomplete bracket results if the respondent provided some information about the
value, but was unable or unwilling to respond through the last unfolding bracket probe.
For example, he indicated that the stock holdings amount to more than $25,000, but did
not say whether they are worth more than $125,000. In that case, the range is an openended $25,000 or more. A claim of ownership without value results if the respondent
indicated that he owns stocks, but revealed neither the exact amount nor a range. A claim
of ownership without value is a special case of an incomplete bracket, namely an openended bracket of greater than zero dollars.
As an illustration, Table 3 shows the frequency distribution of response types on the
ownership and value of stock holdings in HRS 1994 (Wave 2H). The stock holdings
3. Wealth and Income Imputations
24
question is asked from the so-called financial respondent in the household, and the unit of
observation in the table is a household. The majority of respondents, 66.4 percent, report
not owning any stocks (other than in retirement plans, which are not covered by this
question). About one-fifth, 22.2 percent, own stocks and provide an exact value. All
other categories require imputation.
Table 3. Distribution of Response Types on Stock Holdings (HRS 1994)
Continuous value
Complete bracket
Incomplete bracket
Owns, no value/bracket
No asset
Don’t know ownership
No financial respondent
Total
Frequency
1,958
643
48
149
5,846
78
83
8,805
Percent
22.2
7.3
0.5
1.7
66.4
0.9
0.9
100.0
Note the last category in Table 3 “No financial respondent.” These are cases in which the
HRS, for whatever reason, did not interview a financial respondent. 8 For those cases,
virtually nothing is known about financial issues. The RAND HRS Data contain imputed
values for these households, but the user should be aware that these imputations are
subject to potentially large errors. They may be identified through flag variables. For
example, Table 3 is derived from variable H2AFSTCK (“H2AFSTCK:W2 Asst
Flag:Stocks”).
In summary, the data contain valid responses and several types of responses that require
imputations. In decreasing order of informational content:
• Case 1: We may know a “complete” range of values;
• Case 2: We may know that the household owns the asset (or has the income type), but
have no information on its value, or only coarse information in the form of
incomplete brackets; or
• Case 3: We may not even know whether the household owns an asset, much less its
value.
Alternative Question Sequences
While the majority of income and asset questions follow the pattern described above,
there are deviations.
8
In some households, a financial respondent was designated but in fact provided no financial data, perhaps
due to a partial interview that ended before the main financial section of the survey was conducted. For
some of these cases, house and mortgage information may have been provided but no other wealth or
income data was collected in the main income and wealth module which follows the housing module in the
survey instrument. Cases missing the entire module of financial data are treated as though there is no
financial respondent.
3. Wealth and Income Imputations
25
Some questions, particularly income questions in HRS 1992 (Wave 1), do not probe for
brackets if the respondent is unable or unwilling to provide an exact amount. In the data,
we classify missing responses in these cases as if there were unfolding bracket questions,
but the respondent refused to provide any range information, i.e., as Case 2 above.
Some interviewers in Wave 1 used so-called range cards instead of the sequence of
unfolding bracket questions. This was especially prevalent for questions on the value of
primary residence, mortgages, home loans, equity lines of credit, and debt. The range
cards contain a list of ranges. For example, a card may have shown $0-100; $100-500;
$500-1,000; $1,000-5,000; $5,000-10,000; $10,000 or more. The cards were intended for
other purposes but were sometimes used inadvertently when respondents were unable or
unwilling to provide an exact amount. 9 Respondents who were presented a range card
had instant knowledge of all cut-off values, as opposed to gradual access in unfolding
bracket questions. The cut-off values on the range cards were typically different from
those in the appropriate unfolding bracket sequence. We treat responses from range cards
in the same way as complete brackets, i.e., Case 1 above. Naturally, we account for the
cut-off values on the range cards, even if they are different from those in the unfolding
bracket sequence.
Starting in HRS 1998 (Wave 4), the “entry point” of the unfolding bracket sequence was
randomized in questions about assets. In other words, respondents who were unable or
unwilling to provide an exact amount were asked whether the value was more than a
certain value, where that value varied across respondents. The underlying idea was to
reduce any response bias that may arise from the value of the entry point (“acquiescence
bias”). We ignore the fact that the entry point varied across respondents and process the
resulting information in the same way as in previous waves.
Also starting in Wave 4, interviewers were able to record a new response. For example,
suppose the interviewer asked “Is the amount greater than $5,000, less than $5,000, or
what?” The potential answers now are “less than $5,000,” “about $5,000,” and “more
than $5,000.” In earlier waves, the second response was combined with the first or third
response. The additional option is present at each subsequent branch. Where the
respondent indicated that the amount was “about” equal to a certain value, we took that
value as an exact response and did not impute anything. However, this is still classified
as a complete bracket in the imputation flag variable and not as a continuous amount.
We treated range responses in the same way as those in earlier waves.
Finally, some cut-off values of specific asset and income questions changed between
waves, as did the entry point. In addition, the way unfolding bracket information is
presented in the raw data changes over time, from variables representing the “yes/no”
questions through Wave 5, to variables summarizing them as a ”minimum/maximum” of
the range in Wave 6 forward. This did not affect the resulting response types.
9
Recall that the Wave 1 interview was face-to-face; subsequent interviews were conducted mostly by
telephone. Starting with the HRS 2006 wave about half of the sample is interviewed face-to-face and half
is interviewed by telephone.
3. Wealth and Income Imputations
3.2.
26
Imputation Process
The HRS public release files provide imputations for many asset and income types, but
the imputation method is not consistent across all waves. The RAND HRS data contain
imputations of all asset and income types using a consistent method for all waves.
Beginning with HRS 2006, RAND has provided the income and asset imputations for the
HRS. The RAND HRS data file contains summary measures of income and assets. A
more complete and detailed file (“RAND Income and Wealth Imputation File”),
containing individual component imputations, is available on the HRS website
(http://hrsonline.isr.umich.edu/data/index.html).
As defined previously, there are three types of missing values that require separate types
of imputation. Correspondingly, we developed three progressive imputation steps: to
impute an exact amount, given that a range is known; to impute a range, given that
ownership or only incomplete range is known; and to impute ownership, in case nothing
is known. Table 4 illustrates the type of imputation necessary for each type of missing
value.
The imputation process is progressive in the sense that we first impute ownership for
those for whom nothing is known. Given ownership, we impute brackets. Given
brackets, we impute exact amounts. We always use all available information. In
particular, where incomplete brackets are known, we impute complete brackets in the
given range.
Table 4. Response Types and Required Imputations
Reported Information
Continuous value
Complete bracket
Incomplete bracket
Owns, no value/bracket
No asset
Don’t know ownership
No financial respondent
Required Imputation
None
Amount
Bracket, Amount
Bracket, Amount
None
Ownership, Bracket, Amount
Ownership, Bracket, Amount
3.2.1. Ownership Imputation
To impute ownership, we first estimate a logistic regression model of ownership based on
the sample of respondents with nonmissing ownership information for the asset or
income type at issue. The covariates are discussed below. Next, we calculate the
predicted probability of ownership for households with missing ownership information.
Finally, we draw a random number from a uniform distribution between zero and one.
We impute ownership if the predicted probability exceeds the random number and nonownership otherwise.
3. Wealth and Income Imputations
27
The estimation sample varies by asset and income type. For example, a household that
reports whether they own their primary residence but does not report whether they own
stocks or mutual funds enters the estimation sample for ownership of the former, but not
the estimation sample for ownership of the latter.
In some waves and for some asset and income types, ownership is rare and the logistic
regression model fits the data poorly. Instead of imputing on the basis of a logistic
model, we randomly assign ownership with a probability of ownership found in the
nonmissing sample. This is equivalent to fitting a logistic model without covariates. We
apply this procedure for assets in waves with fewer than 50 households reporting
ownership.
3.2.2. Bracket Imputation
We impute brackets for asset owners and income recipients (imputed and reported) who
do not report a continuous value and do not fully complete the questionnaire bracketing
sequence on asset or income value. First, we estimate an ordered logit model based on
the sample of households who do not report a continuous value but do complete the
bracketing sequence. The covariates are discussed below. Next, we calculate the
predicted probabilities of being in each bracket for respondents with missing or
incomplete bracket information. For those who partially complete the bracketing
sequence, we calculate conditional probabilities based on the range of possible values
from their answers. Finally, we draw a random number from a uniform distribution
between zero and one and assign a bracket based on a comparison of the random number
with the cumulative distribution of range probabilities.
For some asset and income types, notably Wave 1 incomes, no bracket questions were
asked. For these items, this step is skipped and we treat the strictly positive dollar range
as a single large open-ended bracket.
Beginning in Wave 4, those households who do not report a continuous value at the first
opportunity but do give an “about” response during the unfolding bracket sequence of
questions are included in the logit model. Probabilities are then estimated for being in
each bracket and each cutpoint value. Households imputed to one of the cutpoint values
need no amount imputation for that particular component.
For some asset and income types, fewer than 50 households completed the bracket
sequence in a certain wave. If this is the case, we follow the same strategy as with
ownership in such a case. That is, we impute the bracket using only the marginal
probabilities and no covariates. In some rare cases, there is not even enough information
in the marginal probabilities, and we skip the bracket imputation and impute amounts
directly. This happens when only one complete bracket range is reported (so this would
otherwise get probability “1”) or when the incomplete bracket range reported is
completely outside the range of the reported complete bracket ranges.
3. Wealth and Income Imputations
28
3.2.3. Amount Imputation
We impute exact amounts for all cases with (reported or imputed) bracket information.
The procedure is different for cases in closed vs. open-ended brackets. 10 For closed
brackets, we use a “nearest neighbor” approach; for open-ended brackets, a tobit-based
approach. The following discusses the two approaches in turn.
In the nearest neighbor approach for closed brackets, we first estimate a linear regression
model based on the sample of households who report an exact continuous value. The
covariates are discussed below. The distribution of asset and income amounts tends to be
roughly lognormal, so we would like to apply a logarithmic transformation to the
outcome (asset, income) variable. However, some outcomes, such as business income,
may be negative. The frequency with which this occurs is very low—too low to allow
for a fully flexible model specification. Instead, we therefore apply the inverse
hyperbolic sine transformation 11 and use this as the dependent variable. Next, we
compute predicted values for all cases, both with and without exact amounts. For each
missing observation in a closed bracket, we find the household that is closest in predicted
value, among the households that report an exact amount within that bracket. This is the
nearest neighbor. We then impute the actual value reported by the nearest neighbor.
For some asset and income types, fewer than 50 households reported a continuous value
in a given wave. In this case, instead of a nearest neighbor from a regression model, a
donor household is found using a conditional hotdeck procedure. This can be viewed as a
nearest neighbor method without covariates, but because there are multiple households
that are equally near (i.e., they all gave continuous answers that fall in the given bracket),
one is chosen at random.
10
A closed bracket has finite cut-off values; an open-ended bracket is, for example, $500,000 or more, so
the upper limit is infinite.
11
The inverse hyperbolic sine transformation is given by
. For positive values of
outcome Y, not close to zero, this transformation closely mimics the logarithmic transformation. Only for
small amounts, on the order of between -$10 and +$10 is the transformation appreciably different from the
logarithmic transformation. The transformation is point-symmetric around zero. It may be graphed as:
6
3
0
-3
-6
-100
-80
-60
-40
-20
0
20
40
60
80
100
If the logarithmic transformation were added to this graph, it would be indistinguishibly close on the northeast quadrant (up to a scale factor).
3. Wealth and Income Imputations
29
Another exception is that sometimes there are not enough donors in the given bracket,
where we define “not enough” as being less than two observations. In this case, a value
within the bracket is imputed from a lognormal regression model. This is similar to the
tobit procedure discussed below, but includes all positive values in the estimation.
In exploratory work, we applied the nearest neighbor method to missing amounts in both
closed and open-ended brackets. However, we found that the resulting imputations
generated implausible distributions at the top of the distribution. The data contain some
outliers which the nearest neighbor approach selects with too high a frequency to be
plausible. We therefore developed an alternative approach for open-ended brackets.
For missing observations in open-ended brackets, we estimate a separate model. In
essence, we estimate a lognormal regression model. However, as indicated above, the
observed distributions differ from the lognormal distribution because there occasionally
are negative values, and in general the smaller observed values do not fit the lognormal
distribution as well. But we only use this model for imputing values in the upper bracket,
so the goal is to approximate the right tail of the distribution closely. Therefore, we first
censor observations in the bottom 25 percent of the outcome variable. That is, we keep
the information that they are less than the 25th percentile, but not the actual values. This
ensures that the values used in the estimation are all positive and that their distribution is
close to (censored) lognormal. Based on this sample of nonmissing observations, we
estimate a censored regression (tobit) model. The covariates are discussed below. The
dependent variable in this model is a logarithmic transformation of the actual amount and
the residuals on this scale are assumed to be normally distributed and homoskedastic.
We then compute predicted values of the log-amount for missing observations. To
preserve the spread of the distribution of outcomes in the imputations, we add a draw
from the residual distribution to this log-amount, and then untransform (exponentiate) the
result. The residual distribution is assumed to be normal with a zero mean and a standard
deviation equal to the estimated standard deviation of the residual in the tobit regression
model, but truncated from the left to ensure the resulting value is in the top bracket. Note
that this truncation point is higher than the censoring point used in the estimation.
For some asset and income types, fewer than 100 12 households reported a continuous
value in certain waves. If this is the case, we follow an analogous strategy as with
ownership and bracket in such a case. That is, we impute the value using only the
marginal distribution and no covariates, where the marginal distribution is a truncated
lognormal distribution. We implemented this by estimating the aforementioned tobit
model, but omitting the covariates, and imputing the value accordingly.
3.2.4. Covariates
The number of model specifications in the imputations is large. There were four waves
of data when these methods were initially developed, with well over a dozen asset and
12
We use 100 here rather than the 50 used for the other models, because the estimates of the tobit models
with covariates were still unstable with sample sizes between 50 and 100.
3. Wealth and Income Imputations
30
income types, and each requires four equations. We experimented extensively with
model specifications. On the one hand, we would like to select covariates that predict the
outcome variables best. On the other hand, we would like the specifications to be
parsimonious and consistent across asset and income types. Consistency across asset and
income types caused problems with asset and income types where only small samples
were available. In the end, we opted for the same set of covariates in all asset model
specifications (ownership, bracket, and amount for all asset types) and another set in the
income specifications. The sets are formed by principal components of approximately 30
underlying covariates. For income imputations, the underlying covariates include
(transformations of) husband and wife’s employment status, education, health status, age,
race, marital status, occupation class, 13 cognition, and bequest expectations. For wealth
imputations, the same set applies, but excluding employment status and including a
number of income amounts (imputed, when necessary) and indicators of pension or
government benefit receipt. We found that the first ten principal components resulted in
model fits that in most cases were very close to the fit from the larger set of covariates,
with very few sample size issues. (The previous sections explained what we do in cases
where there are sample size issues.) The set of regressors varies slightly across waves,
and the principal component loadings are computed separately for each wave. For
example, Table 5 shows summary statistics and loading of the covariates that make up
the principal components of the Wave 2 income imputations.
When there is no Financial Respondent, the income variables are not available as
covariates for the assets, and therefore a smaller set of underlying covariates is used.
Therefore, to impute these cases, we compute principal components from this more
limited set of covariates, and estimate the corresponding imputation models.
The imputations using this set of covariates should be satisfactory for many purposes.
Comparisons of the resulting distributions of income and assets with distributions from
external sources (e.g., asset distributions from the Survey of Consumer Finances) indicate
that the income and asset distributions match well. If they differ substantially from
distributions in other surveys, the distributions in the HRS often seem to be more
plausible. However, the imputations are sometimes less satisfactory for analyses of
longitudinal patterns, in particular, asset changes between waves. Especially when a
household reports a “no value/bracket” or “don't know ownership,” this method may lead
13
Beginning in 2006 (Wave 8), HRS changed the coding of occupation from the 1980 Standard
Occupational Codes (SOCs) to those for 2000. One of the covariates we use in the imputation process is an
indicator for whether or not a person’s occupation is defined as “professional” (See Table 5, M_PROF and
F_PROF). Prior to 2006, the 1980 SOCs were collapsed into 17 categories, and determining who was
professional was relatively straight-forward (See JMW201am in the HRS 2004 codebook for a list of these
categories). Specifically, we defined professionals as anyone in the first two categories (i.e., “Managerial
specialty operation,” or “Professional specialty operation and technical support”).
The 2000 SOCs, on the other hand, were collapsed into 25 categories, which were actually quite different
than the 17 categories produced using the 1980 SOCs. Using available crosswalks of the 1980 and 2000
SOCs in conjunction with other information, we determined that the first 11 categories could appropriately
be considered professional occupations (See KB024M in the HRS 2006 codebook for a list of these
categories). Therefore, from HRS 2006 forward, we use this classification to create the related covariates.
3. Wealth and Income Imputations
31
to large changes between waves, more than is to be expected in the population, because
the method does not take the correlation (or persistence) across time into account.
Therefore, starting with version M of the RAND HRS, we provide cross-wave
imputations of asset variables, which take information from adjacent waves into account.
Table 5. Loadings on the First Two Principal Components
(Wave 2 Income Imputations)
Variable
BEQ10
BEQ10M
BEQ100
BEQ100M
M_COLLEG
F_COLLEG
M_HSGED
F_HSGED
M_EXHLTH
F_EXHLTH
M_PRHLTH
F_PRHLTH
M_PROF
F_PROF
M_WORK
F_WORK
M_UNEMP
F_UNEMP
M_DISAB
F_DISAB
M_RETIR
F_RETIR
AGE
AGESQ
SINGLFEM
MARRIED
NONWHITE
MISSCOGN
LOWCOGN
Mean
61.54
0.0527
31.82
0.2559
0.1796
0.1546
0.2549
0.3516
0.3530
0.4247
0.1747
0.2001
0.1766
0.1391
0.4580
0.4851
0.0202
0.0209
0.0923
0.0961
0.2014
0.0977
58.64
3461.57
0.2308
0.6722
0.2924
0.0906
0.2804
Std. Dev.
42.43
0.2234
40.39
0.4364
0.3839
0.3616
0.4358
0.4775
0.4779
0.4943
0.3797
0.4001
0.3813
0.3460
0.4983
0.4998
0.1407
0.1431
0.2895
0.2947
0.4011
0.2969
4.84
579.24
0.4214
0.4694
0.4549
0.2871
0.4492
Loadings on
First
Second
comp’t
comp’t
0.3395
-0.0289
-0.1223
0.0481
0.3034
-0.0139
-0.3170
0.0326
0.2306
-0.0043
0.1644
-0.1185
0.0701
0.1507
0.0302
0.0719
0.2687
0.0400
0.2321
-0.0694
-0.1176
0.2205
-0.2244
0.0651
0.2378
0.0130
0.1504
-0.1162
0.2363
-0.0749
0.1352
-0.2087
-0.0167
-0.0135
-0.0318
-0.0391
-0.1219
0.1245
-0.1970
0.0195
0.0587
0.3879
0.0233
0.2001
0.0027
0.4766
0.0025
0.4782
-0.2341
-0.2965
0.2501
0.2667
-0.2181
-0.0361
-0.1047
0.0308
-0.1134
0.0793
Description
Probability Bequest $10,000+
Bequest $10,000 missing
Probability Bequest $100,000+
Bequest $100,000 missing
Male: College Graduate
Female: College Graduate
Male: HS Diploma or GED
Female: HS Diploma or GED
Male: Excellent/Very Good Health
Female: Excellent/Very Good Health
Male: Fair/Poor Health
Female: Fair/Poor Health
Male: Professional Work
Female: Professional Work
Male: Currently Working
Female: Currently Working
Male: Unemployed
Female: Unemployed
Male: Disabled/Temp Laid Off
Female: Disabled/Temp Laid Off
Male: Retired
Female: Retired
Age of Oldest Partner
Squared Age of Oldest Partner
Single Female Financial Respondent
Married Couple
Non-White Financial Respondent
Missing Cognition Score
Low Cognition Score
The cross-wave imputations add a few covariates to the models: In addition to the 10
principal components, we include the (inverse hyperbolic sine of) the value of the asset in
the previous wave and the (inverse hyperbolic sine of) the value of the asset in the next
wave. If there is a strong persistence in asset values over time, including these past and
future values should capture this, and lead to imputations that show smoother patterns
across time. If in the adjacent wave, the asset is not owned, we include zero as its value,
and we include dummies for whether the household owns the asset in the previous and
next wave. Changes in marital status (where we treat cohabitation the same as marriage,
as is usual in the HRS) have potentially large effects on wealth, and therefore, in this
case, wealth changes should be less smooth. Therefore, we also include a set of dummies
for such changes: divorce or separation, death of the spouse/partner, or remarriage/new
3. Wealth and Income Imputations
32
partnership. There is one set for changes between last wave and the current wave and
one set for changes between the current wave and the next wave. See Hurd et al. (2014)
for details of the definitions.
If the household did not report a continuous value (or a no asset response) in an adjacent
wave, we have a missing covariate, and thus we cannot impute the value for the current
wave. To solve this problem, we first compute cross-sectional imputations (i.e., without
the cross-wave information) for each household, and then use the cross-sectional
imputation of the adjacent wave as the covariate in the current wave. However, for
households for which we have no adjacent wave information, this still does not solve the
issue. This happens when a household enters the sample (the first wave a cohort is
entered), or in the latest wave (Wave 10; the Wave 11 data are not available yet), or when
a household did not participate in a wave. For imputing these cases, we use imputation
models that include the cross-wave information from only the previous wave or only the
next wave, whichever is applicable. If neither previous nor next wave information is
available for a household, we use the cross-sectional imputation.
In principle, all imputation models are wave-specific. That is, principal components are
computed for each wave separately, and coefficients of the covariates in the imputation
models are computed for each wave separately. However, the number of marital status
changes is typically too small to estimate the coefficients of these dummies with enough
precision in each wave separately. Therefore, we use all waves jointly to estimate these
coefficients. That is, we estimate wave-specific coefficients for all covariates except the
marital status change dummies.
3.3.
Asset Verification
After a successful experiment in 2001, described in Hill (2006), the HRS added the asset
verification section (section U; also called asset reconciliation section) to the
questionnaire in 2002. Whenever there is a large discrepancy, defined as more than
$50,000, between an asset value in the previous wave and the value of the same asset in
the current interview, the respondent is asked to verify, or correct when necessary, the
asset values in the previous and current wave. The idea behind this is that large changes
in asset values are rare and therefore, if we see them in the data, there may have been a
reporting error or data entry error, which we want to correct. The respondent is only
asked these verification questions if the same (financial) respondent reported the asset in
both waves and total wealth differs by more than $150,000. The former is for disclosure
reasons and the latter is to avoid flagging portfolio rebalancing (e.g., selling stocks and
buying bonds instead).
In HRS 2002 and HRS 2004 (Waves 6 and 7), respondents were asked about at most
three assets in the asset verification section. From 2006 onward, respondents could
potentially be asked about all assets that were checked in this section, although it does not
happen often that a respondent is asked to verify more than a few assets. There are other
3. Wealth and Income Imputations
33
changes between waves, for example in the preloaded information from the previous
wave and how it is used. See Hurd et al. (2014) for the details.
Starting with version M, the RAND wealth measures take corrections from the asset
verification section into account. These corrections precede the imputations. First,
corrections for the current wave are implemented. Then, corrections of the previous
wave's value are evaluated. If the asset was not asked about in the previous wave's asset
verification section, then we implement the correction of the previous wave's value. If
the asset was also asked about in the previous wave's asset verification section, we
generally use the result from the previous wave's asset verification section (the
contemporaneous one). However, we inspect all cases where the results from the
previous wave's asset verification section and the current wave's asset verification section
differ by more than a factor of 9 to catch gross errors, in particular accidental errors in the
number of zeros.
The corrections from the asset verification section occasionally lead to some
complications, such as inconsistent data that cannot occur in the main questionnaire
because of the main questionnaire's skip patterns, and complications with the
implementation of the imputation methods. An example of the former is that the main
questionnaire has a branch of questions in case the primary residence is a mobile home
and another branch of questions if it is another type of dwelling, but in some cases the
corrections from the asset verification section lead to the household having a number in
both branches. We check all such cases and determine what is the most reasonable way
to interpret the data and then make it consistent with the logic of the (main)
questionnaire. An example of a complication with the imputations is that unfolding
bracket thresholds are not always the same. See Hurd et al. (2014) for the details and
how we dealt with these issues.
3.4.
Substantive Differences Across Waves
In addition to survey-technical changes between waves and the introduction of the asset
verification section, there have been a few changes that may affect the comparability of
asset values across waves. We discuss the most important changes.
Notable Differences between Waves HRS 1992 (Wave 1) and HRS 1994 (Wave2)
Net value of vehicles: Wave 1 includes a measure of the value of a recreational vehicle or
motor home in the Housing Section and a measure of the value of other vehicles in the
Asset Section. We separately imputed these values and summed them. For Wave 2, the
two components are incorporated into one measure of the net value of vehicles in the
Asset Section.
Notable Differences between HRS 1994 (Wave 2) and HRS 1996 (Wave 3)
3. Wealth and Income Imputations
34
Asset income: In Waves 1 and 2, asset ownership and value were asked in the Asset
Section, whereas income from assets was asked separately in the Income Section.
Starting in Wave 3, income from asset questions were incorporated in the Asset Section.
For example, if the respondent indicated owning stocks, the interviewer followed up with
a question about dividends. This increased the response rate for asset income. Assuming
that this increases the quality of responses, it also improves the accuracy of our asset
imputations, because asset income is an explanatory covariate of our imputation model.
Net value of IRA/Keogh accounts: In Waves 1 and 2, respondents were asked to report
the total value of all Individual Retirement Account (IRA) and KEOGH accounts. In
Wave 3, separate questions were asked about the largest, second largest, and all other
accounts.
Notable Differences between HRS and AHEAD (Waves 2 & 3)
HRS 1994 and AHEAD 1993 (Wave 2)
AHEAD 1993 has a very different structure than HRS 1994. With the exception of
Social Security benefits, SSI and food stamps, respondents are expected to specify the
types of income received. For example, they are asked if they have “any regular
income,” and if so, they are asked to identify the source. So there are no specific
questions such as “Do you receive any income from pensions?” However, they can
describe up to 4 regular incomes per partner, and up to 3 household investment incomes.
The result is many separate components for those combined in other waves, such as stock
income and veteran’s benefits. Specific question wording differences are described in the
“Cross-Wave Differences in Original HRS Data” subsections in the codebook.
HRS 1996 and AHEAD 1995 (Wave 3)
The structures of HRS 1996 and AHEAD 1995 are very similar. However, there are
several notable differences. These are outlined under the “Cross-Wave Differences in
Original HRS Data” subsections in the codebook.
Notable Differences between HRS 1998 (Wave 4), HRS 2000 (Wave 5) and HRS
2002 (Wave 6)
The structures of Waves 4, 5, and 6 are very similar. Any important differences are
specified under “Cross-Wave Differences in Original HRS Data” subsections in the
codebook.
Notable Differences between HRS 1998 (Wave 4) through HRS 2002 (Wave 6) and
HRS 2004 (Wave 7) through HRS 2008 (Wave 9)
The structures of questions from Wave 7 forward are very similar to those in Waves 4 to
6. However, Waves 7 and later no longer ask for income from trusts, and alimony
specifically. One can assume that these types of income would now be reported with
3. Wealth and Income Imputations
35
non-specific other income. We have looked at this for cases that previously did report
alimony or trust income and found that other income did not increase as one might expect
were these types of income included.
Notable Differences between HRS 2000 (Wave 5) and HRS 2002 (Wave 6) through
HRS 2006 (Wave 8)
In Wave 5, respondents who are 65 years of age or older, and report not working for pay
in the last calendar year, skip the questions about income from unemployment and
worker’s compensation. Respondents who are < 65 years of age, on the other hand, are
asked both sets of questions, even if they are not working. From Wave 6 forward, the
same pattern is true for respondents who are 65 years of age or older. However, those
who are < 65 years of age, and report not working for pay in the last calendar year, are
asked the questions about income from unemployment, but skip those related to worker’s
compensation.
Notable Differences between HRS 2006 (Wave 8) and HRS 2008 (Wave 9)
Business assets reported earlier in the interview: Beginning in Wave 6, after the value of
business or farm assets is collected, a question (Q492) asks whether these assets were
reported previously in the interview. Beginning in Wave 9, a follow-up question was
added which asks respondents to indicate what percentage was previously reported
(Q523). For example, in Wave 9, about 30% of business owners indicate that they had
reported their business wealth as either primary residence (which could be a farm or
ranch), secondary residence, or other real estate earlier in the interview (Q492 = yes), and
of these, most say that all of the business asset was previously reported (Q523 = 100%).
These two variables are available in the “Income and Wealth Imputation Detail File” for
the convenience of the analyst, and can be used for adjusting total wealth to reflect the
amount of wealth that is twice reported. We do not use these two variables in the
imputations or derivations of any of the variations on total wealth.
Housing loan question wording: In the housing section, there are a series of questions
about whether the respondent has “…a mortgage, land contract, second mortgage, or any
other loan that uses the property as collateral.” In Wave 9, the qualifier “Do not include
reverse mortgages” was added.
Notable Differences between HRS 2008 (Wave 9) and HRS 2010 (Wave 10)
The questions asking about number of months receiving food stamps changed in Wave
10. The questions were asked separately by year of receiving food stamps.
References
Hill, D. H. (2006). Wealth dynamics: Reducing noise in panel data. Journal of Applied
Econometrics, 21, 845-860.
4. Poverty Threshold Definitions and HRS Measures
36
Hurd, M. D., E. Meijer, M. Moldoff, and S. Rohwedder (2014). Improved wealth
measures in the Health and Retirement Study: Asset reconciliation and cross-wave
imputation. Santa Monica, CA: RAND Corporation, Center for the Study of Aging.
(Forthcoming)
4.
Poverty Threshold Definitions and HRS
Measures
The RAND HRS Data file includes a measure of poverty for beginning in Wave 6 (2002).
We use the poverty threshold levels from the U.S. Census Bureau
(http://www.census.gov/hhes/www/poverty/threshld.html) and family composition to
determine the poverty threshold that applies to an HRS family. We then compare the
HRS family income to the appropriate poverty threshold. The methods used by the U.S.
Census Bureau to measure poverty are outlined on
http://www.census.gov/hhes/poverty/povdef.html. These are normally applied to CPS
data to arrive at national poverty rates. The two key definitions for applying these
methods to HRS families are income and family composition.
The family composition depends on the number of resident family members, the number
under 18, and the age of the head of household if there are one or two in the family.
People living in institutions, such as nursing homes and college dormitories, are not
included when counting resident family members.
Income includes before-tax income from:
- earnings, unemployment, workers’ compensation
- Social Security, SSI, public assistance, veterans benefits
- pension and retirement income
- interest, dividends, rents, royalties, income from estates and trusts
- educational assistance
- alimony, child support
- assistance from outside the household
- other sources
- income of all resident family members
Income does not include:
- noncash benefits, e.g., food stamps
- capital gains and losses
We assume that educational assistance and other sources would have been reported as
“other income” in the HRS, but it is likely that at least some assistance from outside the
4. Poverty Threshold Definitions and HRS Measures
37
household may not be included in any of the HRS income categories. 14 The HRS total
household income, e.g., as calculated in H6ITOT on the RAND HRS, less food stamps
would seem to be close to the Census definition of income, with the exception of income
from resident family members besides the respondent and spouse. Note that RAND HRS
total household income is for the last calendar year, e.g., 2001 for income reported at the
2002 interview and 2003 for income reported at the 2004 interview.
Questions ask about the income of resident family members, including the earnings of
each and total non-job income of them all. With these questions, we can estimate income
of all resident family members, which is not included in HwITOT.
4.1.
Method
We construct a poverty status variable to be consistent with that produced using the
Census definitions, within the limitations of the HRS data, as follows:
1. Make household resident observations from the work and earnings questions,
identified by sub-household ID and OPN.
2. Merge with the household member/child roster. 15
3. Keep people who are resident and related to the Family Respondent (FamR) or
spouse. This includes current and ex-relations (codes=3-19, 27, 28, 30, 31, 33,
90, 91) who have a status code indicating residency (=1). 16 Please see ”Summary
of Data Issues” later in this section for a discussion of residents who are away,
and income year versus residence year.
4. Impute non-core household member income, including earnings and non-job
income. The method used for these imputations is described below (“Imputing
Household Member Income”).
5. Count # of residents and residents under 18 17 by sub-household.
14
Notably the HRS question wording for “other income” specifically excludes income from family and
friends. The Census definition of assistance from outside the household indicates that this includes
“periodic payments people receive from non-household members. This type of assistance excludes gifts or
sporadic assistance.” HRS questions on income transfers from children do not specify whether the amounts
are periodic or sporadic, so we have decided not to include these in the income used to determine poverty
threshold.
15
There are some household residents from the income section that do not appear on the roster. Of the 9
residents in 2002, 5 have the OPN 997 (not available this release), and 4 have normal looking OPNs. In
2004, there are 5 such cases with normal looking OPNs. Since we cannot determine relationship for these
people, we drop their income and do not count them as resident family members.
16
We assume the household member is non-resident if the status code is missing, and non-family if the
relationship code is missing.
17
If the birth year of a resident family member is missing we use logical imputation to determine whether
s/he is 18 or older. Among those not missing birth year in 2002, those working or married are 18 or older
94% and 98% of the time, respectively. So those who are working, married, with a move date 18 years
prior to the interview, or with a relationship of sibling or parent are assumed to be 18 or older.
Grandchildren who are not working or married are assumed to be under 18. For the remaining cases still
missing, we used the skip pattern for the work question, which was not asked for those under 16 years old.
We assumed that those missing whether worked are under 16, and hence, under 18.
4. Poverty Threshold Definitions and HRS Measures
38
6. Merge with core data, including imputed income, whether a couple, and age(s) of
respondents.
7. Adjust the number of household members by the number of core HRS in the
family (one or two).
8. Assign family to a Census category to retrieve the appropriate poverty threshold.
Use age of the only, or male, non-institutionalized HRS respondent to determine
if head is 65 or older in one- or two-person households. 18 The family category is
provided on the file, as is the corresponding poverty threshold.
9. Adjust family income. The adjusted family income is provided on the file.
a. Starting with HwITOT, subtract food stamps.
b. Add in earnings for all non-core residents.
c. Add in total non-job income for non-core family residents.
10. Compare family income 19 to poverty threshold for the family to determine:
a. Whether below the poverty level (0=No and 1=Yes)
b. Ratio of family income to poverty threshold.
Both these measures are provided on the file.
4.2.
Summary of Data Issues
Income year versus residence year: Income measures are from the last calendar year,
e.g., 2001, but family composition is from the interview year, e.g., 2002. At this time, we
use the family composition as is reported in the household roster at the time of the
interview, but use last calendar year as the reference year for income, poverty thresholds,
and ages of household members.
Residents who are away and HRS core living in a nursing home: The CPS definition does
not include family members who are living in an institution. We provide two sets of
poverty status variables, one in which we are consistent with the Census definition and
exclude institutionalized family members, and another where we include them. In both
versions we do include family members temporarily away, as this is consistent with the
CPS samples. Specifically the two versions of the poverty variables differ as follows:
1. CPS-consistent version: We do not count core HRS respondents who live in a
nursing home at the time of the interview, and we further adjust total
household income by subtracting their individual income. In HRS households
where all core respondents are institutionalized, all the poverty measures are
set to missing. We also do not count or add in the income of non-core
residents who have a status of “away in an institution.” If this leaves no noncore family residents, we exclude any other family member income.
2. Version including institutionalized family members: In this version we count
all core HRS respondents (including non-responding spouses in couple
18
We ran a version using age of Financial Respondent instead. This did not make a difference in poverty
status, but does have some impact on the family category. Note that it is also possible that one of the noncore family residents would be considered “head” by the CPS.
19
A few hundred 2002, 2004, 2006, 2008 and 2010 interviews are actually conducted in 2003, 2005, 2007,
2009 and 2011, respectively, and thus report 2002, 2004, 2006, 2008 and 2010 income. If the Financial
Respondent’s interview year is 2003, 2005, 2007, 2009 or 2011, we use the CPI to adjust income to 2001,
2003, 2005, 2007 or 2009 dollars, as appropriate, before doing the comparison.
4. Poverty Threshold Definitions and HRS Measures
39
households) and include their income in the total for the household. We also
count non-core family residents who are away in an institution and include
their income.
4.3.
Variables Included on the File
At this time, these variables are only constructed for respondents beginning in Wave 6.
The variables are all constructed at the household level and merged back to HRS
respondents:
Description
Whether family income is
below the poverty threshold
Ratio of family income to
poverty threshold
Poverty threshold for the
family in prior year (i.e.,
2001 for Wave 6 and 2003
for Wave 7)
Family composition used to
determine poverty threshold
Adjusted family income
compared to the poverty
threshold 20
CPS-Consistent Variable,
excluding institutionalized
family members
HwINPOV
Version including
institutionalized family
members
HwINPOVA
HwINPOVR
HwINPVRA
HwPOVTHR
HwPVTHRA
HwPOVFAM
HwPVFAMA
HwPOVHHI
HwPVHHIA
In addition we include HwNHMLIV, which summarizes the nursing home residence of
the core HRS respondents:
0 = none reside in a nursing home
1 = one of a couple resides in a nursing home
2 = both in a couple reside in a nursing home
3 = the household is a single-respondent who resides in a nursing home
For cases with codes of 2 or 3, the CPS-consistent measures are set to a SAS special
missing value (.I, for institutionalized).
4.4.
Imputing Household Member Income
We impute earnings and non-job income for non-core resident household members who
are related to one of the HRS respondents. In the income section Questions (where “[x]”
is the interview-specific variable prefix, i.e, H, J, K, L, M, and N for 2002, 2004, 2006,
2008, 2010, and 2012, respectively) ask whether each household resident, 16 or older
20
These variables reflect the CPI adjustment to 2001 (2003 for W7 , 2005 for W8, 2007 for W9, 2009 for
W10 or 2011 for W11) dollars if the interview was conducted in 2003 (2005, 2007, 2009, 2011 or 2013),
i.e., if the income reported is for 2002 (2004, 2006, 2008, 2010 or 2012).
4. Poverty Threshold Definitions and HRS Measures
40
(OPN=[x]Q431), works ([x]Q432), and if so, how much income was earned in the last
calendar year:
[x]Q433: About how much money did ([Person Name]) earn from all jobs in
([LCY_A] 21), before taxes and other deductions?
There is also a question about total non-job income of all resident family members:
[x]Q437: Not including job income, about how much in total did other members of
your family living (here/there) receive in ([LCY_A]) from Social Security, pensions,
welfare, interest, gifts, or anything else, (before taxes and other deductions)?
Both questions collect a continuous value and, if missing, unfolding bracket values.
We used the same methods used to impute income and wealth to impute these income
measures, described elsewhere in this document.
Earnings are imputed if missing for resident household members at least 16 years old and
related to one of the HRS respondents in the household. Imputations are done at the
household member level, separately for single and couple HRS households. 22
If the family member is under 16 or not working, we assume no earnings if missing. For
the remainder, ownership is determined by whether the family member is working. If
whether working is missing we impute ownership. We then impute complete brackets for
cases with missing or incomplete brackets, and finally, we impute earnings.
Total non-job income of resident family members is imputed if missing for all
households with any resident family members, including those temporarily away,
regardless of whether in an institution or not. One value is reported or imputed for each
household with resident family members. Thus these imputations are done at the
household level.
Among the continuous values reported, about 60% report a zero for this type of income in
Wave 6. We assume no ownership if zeros are reported, and ownership if a value over
zero is given or if any bracket information indicating a range (complete or incomplete) is
provided. If the value is missing and no unfolding bracket questions are answered, we
impute ownership. We then impute complete brackets for cases with missing or
incomplete brackets that have, or have been imputed to have, this type of income. Based
on these complete brackets, a continuous value is imputed.
The covariates used for these imputations include HRS core measures: total household
income (HwITOT), total household assets (HwATOTA), and age(s), health, education,
race, and work status of HRS core respondents. Other covariates include the number of
resident family members under and over 18 years old and their mean age. In the earnings
21
“LCY_A” is last calendar year relative to the interview year.
HRS income tends to be lower, and household member income higher, in single compared to couple
households. This may indicate that HRS singles with other household residents are parents moving in with
their children, whereas HRS couples are taking in adult children.
22
4. Poverty Threshold Definitions and HRS Measures
imputations, additional covariates reflecting the household member’s age, sex, marital
status, and relationship are also included.
41
5. Social Security and SSI Disability Episodes
5.
42
Social Security and SSI Disability Episodes
The HRS collects information on whether respondents have applied for and received
benefits from various disability programs, including Social Security, Supplemental
Security Income, Veteran’s benefits, and workers’ compensation. We have developed a
set of variables that represent multiple episodes of application and receipt of Social
Security (SSDI) and Supplemental Security Income (SSI) disability over the panel.
SS disability is available only if the respondent has contributed long enough to be
eligible. SSI disability can be awarded on the basis of income, without the same
contribution required for Social Security eligibility. A disabled person may receive
benefits from both programs. The normal process begins with application to the
disability program. If denied benefits, one can then appeal the decision or re-apply.
Benefits may be awarded either after the original or re-application or the application can
be rejected. And finally benefits may stop, or in the case of SSDI, transition to old-age
benefits.
Each application process is considered an episode in developing these variables from the
information provided by HRS. The HRS collects information on the steps outlined above
and on when each step is initiated and when the benefits stop. An episode may begin in
one wave and be continued over several subsequent waves, for as long as the respondent
receives benefits. The process is initiated at most ten times in the HRS from 1992
through 2004. There are differences in wording and content across waves that are
described in more detail under “Cross-Wave Differences” for these variables in the
codebook.
Note that we observe the process only at interviews. It is possible that what we see is
incomplete because the interview questions do not capture all the details. For example, if
a person reports receiving benefits at one wave, and still receives at the next, we assume
the benefits arise from the same application, and in some cases the same program. But it
is possible that the benefits being received are from a different one. There are questions
about new applications since the last interview, even if a respondent reports still receiving
benefits from a prior wave, but we do not attempt to untangle whether a new application
is related to the benefits reported as continuous. We assume it is different and begin
another episode.
These variables are developed using information found in the Disability section of the
HRS. There are about 130 cases with at least one illogical sequence of dates. There is
additional information in the Income section regarding SSI and Social Security income
that could be used to further inform these data, but we do not consider it in this version.
Specifically, we have noticed that if a respondent reports receiving Social Security
disability (SSDI) in the Disability section, they sometimes do not report receiving Social
Security disability (SSDI) in the Income and Assets section. Similarly, sometimes the
respondent reports receiving Social Security disability (SSDI) in the Income and Assets
section, but not in the Disability section. Therefore, beginning in Wave 9, a new variable
5. Social Security and SSI Disability Episodes
43
(RADISABF) has been derived to document and explain these differences, which can be
found in Section E: Social Security.
5.1.
Program Type
The HRS questions about Social Security and SSI disability combine the two programs in
interviews before 2000. Beginning in 2000, the questions ask about these programs
separately. If a person is receiving benefits at their previous interview, they are asked in
2000 which program provides them. If they report receiving from only one program, the
active episode is assigned a type of either SSDI or SSI as appropriate. If a person reports
receiving benefits from both programs, we duplicate the active episode and assign one as
SSDI and one as SSI, before updating with 2000 information. Information about any new
applications is collected separately and each new application begins a separate episode.
We cannot identify which program was involved for episodes that end before 2000.
These episodes are assigned an ambiguous program type.
In 2002, a person receiving benefits in 2000 is again asked which program provides them.
If the program types are reported as the same at both interviews, we update the
appropriate episode accordingly. If a person receives benefits from both programs in
2000 and 2002, the two active episodes are updated separately. In some cases
respondents appear to change programs from 2000 to 2002, e.g., reported receiving
benefits from SSI in 2000 but from SSDI in 2002 without a new application. The 2002
benefit is treated as a continuation of the 2000 one, and the type of program is flagged as
ambiguous. If a person reports receiving benefits from both programs in 2000 but only
one in 2002, we end the episode for the program that is omitted. If a person reports
receiving from only one program in 2000 but from both programs in 2002, we duplicate
the active 2000 episode and update both with 2002 information. Similar methods are
applied to episodes continued across waves in later waves as well, e.g., in 2004 for
episodes continued from 2002.
5.2.
Episode Status
The normal sequence of steps entails application, and if denied, possibly re-application or
appeal, award and receipt of benefits, the end of benefits, application rejected, and
benefits not awarded. The most common states of an episode at the end of an interview
are receiving, stopped receiving benefits, and not awarded, in that order. A status of
applied or appealed/re-applied indicates that a respondent is last observed with a pending
application for the episode. An episode with a status of applied, appealed/re-applied,
receiving, or not awarded is considered active, and may be updated with information
from subsequent interviews.
A status of not awarded does not necessarily mean the application has been rejected,
especially in earlier waves. The specific language of a rejected application is introduced
for new applications in 1998. Indeed, cases are observed who report that benefits were
not awarded but then say they are still receiving benefits at the next interview and
5. Social Security and SSI Disability Episodes
44
indicate a receive date between interviews. Prior to 1998, it appears that most cases that
reported any disability activity at the previous interview are asked if they are still
receiving benefits even if they never reported being awarded benefits.
Information in interviews subsequent to the application may inform the status. If a
respondent denies receiving benefits and the status at the previous interview indicates the
respondent had not reported receiving benefits, we assume the application was rejected.
Similarly if the respondent says no to still receiving benefits but had not previously
reported being awarded them, we assume the application was rejected, but with a
different status, as there is the possibility benefits were received for a short time. If a
respondent denies receiving benefits, and had previously reported that benefits had
stopped, the denial confirms the prior situation. If the denial is after a stop that was
reported without having ever reported receiving, we assume the application was rejected,
i.e., that benefits were never received.
In some cases an episode is unresolved, i.e., there is an active episode, but the thread is
dropped. That is, either no information about whether they are still receiving is given,
and a new application is begun, or a respondent indicates having active episodes for both
programs but at the next wave indicates only one. These episodes are given an illogical
ending status that indicates what the status was when the thread was dropped.
In some cases it is possible that the appropriate follow-up questions at the next interview
are not asked and the episode is thus left somewhat in limbo. These episodes may appear
to be still active since no further activity is observed.
5.3.
Episode Dates
Dates of application, re-application or appeal, benefit receipt start, and stop are collected
for each episode. They are provided in the raw data as month and year. If the date is
missing, we attempt to provide an estimated date. The process of estimating a date
entails identifying the upper and lower bounds within which the date may fall. For
instance, the upper bound for when the respondent started receiving benefits would be set
based on a stop date if given or current interview date, and a lower bound would be based
on application or appeal date. Lower and upper bounds for each applicable step are
determined. The lower bounds for applications, particularly the first, look at dates of
disability, including when the disability began to interfere with work, when a respondent
reports a disabled employment status, and last month worked. To be used a date must
come before any determined upper bound. If none of these is available and before the
upper bound, we use a lower bound set to age 18, or, if this does not fit, birth date. The
estimated date is set to the midpoint between the lower and upper bounds 23.
Estimated dates are adjusted to ensure that they occur in the expected order, e.g.,
applications occur before appeals and receipt of benefits and receipt of benefits occurs
23
The RAND HRS Data file does not include the lower and upper bound dates used to derive the estimated
date. Please contact us if you would find these dates useful; we can provide them in a separate file.
5. Social Security and SSI Disability Episodes
45
before they stop. If the originally given month and year, or just year is valid, we do not
adjust outside the given information. In some cases the dates will seem illogical, because
that is the way they were reported. There are about 130 cases with at least one illogical
sequence of dates.
5.4.
Variables
The disability variables we have developed include the dates of application, reapplication or appeal, start of benefits, and when benefits stop. Each application begins a
new episode, with its own set of dates and its own status. For each date, we provide the
month and year as presented in the data, recoded for missing values, and a “best-guess”
date which is stored as a SAS date. From the month and year, the analyst can tell how
much information was originally provided. The specific variables are listed in Table 4.
While 10 episodes are possible, the maximum observed number of episodes is nine, and
therefore only nine episodes will be listed in the section.
The variables begin with “RA” because they are not wave-specific. If they are specific to
a particular episode they end with a number, indication the sequence of the episode. The
second to last character of the date variables is “M” for month, “Y” for year, and “D” for
SAS date.
We continue to include the disability variables previously provided in the RAND HRS
data; these indicate if any of the steps, except stopping benefits, has ever been reported,
and if so the earliest date. From Wave 5 forward, a variable with the amount being
received has also been added. Amount received is not available before Wave 5.
Table 4. Disability Episode Variables
Measure
Number
episodes
Description
Count, at most nine as of Wave 9
Month
Year
“Best-guess” SAS date
Appeal or Month
Year
Reapply
date
“Best-guess” SAS date
Month
Receive date Year
“Best-guess” SAS date
Month
Year
Stop date
“Best-guess” SAS date
Application
date
Variables
RADNEPI
RADAPPM1 to RADAPPM10
RADAPPY1 to RADAPPY10
RADAPPD1 to RADAPPD10
RADREAM1 to RADREAM10
RADREAY1 to RADREAY10
RADREAD1 to RADREAD10
RADRECM1 to RADRECM10
RADRECY1 to RADRECY10
RADRECD1 to RADRECD10
RADENDM1 to RADENDM10
RADENDY1 to RADENDY10
RADENDD1 to RADENDD10
5. Social Security and SSI Disability Episodes
Type
Current
Status
1 = SSDI
2 = SSI
3 = DK which
4 = SSDI /SSI at different waves
Indicates if applied, receiving,
stopped receiving, or illogical ends
46
RADTYPE1 to RADTYPE10
RADSTAT1 to RADSTAT10
6. Structure of Codebook
6.
47
Structure of Codebook
The Appendix contains the codebook documenting all variables in the RAND HRS Data. This section
explains how to interpret the codebook entries. The figure below shows a typical codebook page; the numbers
in circles correspond to comments below.
1
Self-report of health
File Variable
2
3
65
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1SHLT
R2SHLT
R3SHLT
R4SHLT
R5SHLT
R6SHLT
R7SHLT
R7SHLT
R9SHLT
R10SHLT
R10SHLT
R1SHLT:W1 Self-report of health
R2SHLT:W2 Self-report of health
R3SHLT:W3 Self-report of health
R4SHLT:W4 Self-report of health
R5SHLT:W5 Self-report of health
R6SHLT:W6 Self-report of health
R7SHLT:W7 Self-report of health
R8SHLT:W8 Self-report of health
R9SHLT:W9 Self-report of health
R10SHLT:W10 Self-report of health
R11SHLT:W11 Self-report of health
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1SHLT
S2SHLT
S3SHLT
S4SHLT
S5SHLT
S6SHLT
S7SHLT
S8SHLT
S9SHLT
S10SHLT
S11SHLT
S1SHLT:W1 Self-report of health
S2SHLT:W2 Self-report of health
S3SHLT:W3 Self-report of health
S4SHLT:W4 Self-report of health
S5SHLT:W5 Self-report of health
S6SHLT:W6 Self-report of health
S7SHLT:W7 Self-report of health
S8SHLT:W8 Self-report of health
S9SHLT:W9 Self-report of health
S10SHLT:W10 Self-report of health
S11SHLT:W11 Self-report of health
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
4
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1SHLT
R2SHLT
R3SHLT
R4SHLT
R5SHLT
R6SHLT
R7SHLT
R8SHLT
R9SHLT
R10SHLT
R11SHLT
12652
19632
17984
21378
19571
18156
20112
18444
17203
22026
20200
2.584
2.813
2.790
2.922
2.837
2.877
2.883
2.884
2.937
2.89
2.89
1.205
1.192
1.176
1.177
1.156
1.133
1.142
1.132
1.109
1.110
1.10
1.000
1.000
1.000
1.000
1.000
1.000
1.000
1.000
1.000
1.000
1.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
S1SHLT
S2SHLT
S3SHLT
S4SHLT
S5SHLT
S6SHLT
S7SHLT
S8SHLT
S9SHLT
S10SHLT
S11SHLT
9900
13084
11911
13973
12726
11637
12962
11723
10640
13512
12163
2.513
2.705
2.689
2.819
2.732
2.751
2.767
2.760
2.825
2.780
2.79
1.173
1.163
1.149
1.151
1.129
1.104
1.119
1.111
1.080
1.090
1.10
1.000
1.000
1.000
1.000
1.000
1.000
1.000
1.000
1.000
1.000
1.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
5.000
6. Structure of Codebook
6
48
Categorical Variable Codes
Value----------------------|R1SHLT
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
1. Excellent
|2807
2. Very good
|3481
3. Good
|3544
4. Fair
|1807
5. Poor
|1013
R2SHLT
8
Value----------------------|S1SHLT
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.U=Unmar
|2373
.V=Sp NR
|379
1. Excellent
|2293
2. Very good
|2848
3. Good
|2809
4. Fair
|1287
5. Poor
|663
S2SHLT
3
7
2
2982
5241
5812
3660
1937
1
5970
584
2166
3819
3844
2225
1030
R3SHLT
3
2
2
2664
5078
5262
3325
1655
R4SHLT
6
R5SHLT
7
R6SHLT
8
R7SHLT
13
R9SHLT
11
R10SHLT
11
4
2363
5476
6280
4135
1858
R8SHLT
23
1
1
2032
5261
5623
3874
1654
2633
5467
6541
4400
2337
1
2473
5652
5903
3681
1862
3
2049
5080
5739
3616
1670
3
1550
4881
5514
3625
1633
2190
6394
6898
4652
1889
S3SHLT
2
2
S4SHLT
5
S5SHLT
4
S6SHLT
2
S7SHLT
7
S8SHLT
12
S9SHLT
5
S10SHLT
3
5658
418
1926
3618
3487
1990
890
6869
537
1871
3887
4360
2606
1249
6538
311
1769
3984
3842
2147
984
6306
220
1498
3580
3700
2037
822
3
6777
380
1718
3857
4080
2339
968
6417
317
1502
3627
3612
2144
838
1
6206
365
1076
3276
3516
1978
794
7795
722
1495
4326
4232
2513
948
R11SHLT
15
1
5
1893
5971
6405
4227
1704
S11SHLT
7
1
3
7461
586
1269
3908
3915
2234
837
How Constructed
RwSHLT is the respondent's self-reported general health status. Codes range from 1 for Excellent to 5
for Poor. SwSHLT is the respondent's spouse or partner's self-reported general health status.
RwSHLT is assigned the value of the raw variable except that missing values for don't know, refused,
and other missings are recoded to .D, .R, and .M, respectively.
RwSHLT and SwSHLT are used in contruction of a change in health variable RwSHLTC. Please see "Change in
Health" for a description of these measures.
The SwSHLT variables are taken from the Wave 'w' spouse's self-reported RwSHLT variables.
8
Cross Wave Differences in Original HRS Data
In Wave 1 values for self-reported health status are imputed by HRS if missing.
used. From Wave 2 forward, values are not imputed by HRS.
9
HRS Variables Used
HRS 1992:
V301
AHEAD 1993:
B204
HRS 1994:
W301
AHEAD 1995:
D769
HRS 1996:
E769
HRS 1998:
F1097
HRS 2000:
G1226
HRS 2002:
HC001
HRS 2004:
B1:RATE CURRENT HEAL:IMP
B1. RATE HEALTH
B1.RATE CURRENT HEALTH
B1. RATE HEALTH
B1. RATE HEALTH
B1. RATE HEALTH
B1. RATE HEALTH
RATE HEALTH
These imputations are
6. Structure of Codebook
JC001
HRS 2006:
KC001
HRS 2008:
LC001
HRS 2010:
MC001
HRS 2012:
NC001
RATE HEALTH
RATE HEALTH
RATE HEALTH
RATE HEALTH
RATE HEALTH
1
Title: The variables are documented in groups according to the concept that
they measure. For example, there are ten variables related to self-reported
health, corresponding to five waves and respondent/spouse. The title is often
followed by a short description of the concept that is captured.
22
Variable Names: This entry shows the names of variables in the group. Not all
variables are present on all files. For example, R1SHLT is present only on the
first file, R2SHLT on the second, etc.
3
Variable Labels: This entry shows the SAS/Stata variable labels. As discussed
above, the labels typically include the name of the variable, the file on which it
is present, and a description of its contents.
4
Variable Type: This entry indicates the type of variable. It may be continuous
(Cont), categorical (Categ), or character (Char).
5
6
Descriptive Statistics: This entry shows descriptive statistics on each variable.
They include the number of nonmissing values, the mean, standard deviation,
minimum value, and maximum value.
Categorical Value Codes: This entry shows the value label codes. These are
only relevant for categorical variables. The first character(s) of the value labels
indicate the value to which each label has been assigned. For example, value
“1” is mapped into “1. Excellent” (not just “Excellent”). The entry also
indicates which labels are assigned to which variables, and shows frequency
tabulations for all categorical variables.
7
How Constructed: This entry provides background on the manner in which
variables were constructed.
8
Cross Wave Differences in Original HRS Data: This entry briefly describes
differences in question wording or contents between interview waves.
9
HRS Variables Used: This entry provides the names and labels of raw HRS
variables that were used to construct the new variables.
49
7. Distribution and Technical Notes
7.
50
Distribution and Technical Notes
The RAND HRS Data are distributed with the following:
•
•
•
•
•
Documentation: an electronic version of this documentation.
Programs: source code of programs that were used to derive the RAND HRS Data
files. All programs are written in SAS.
SAS files: all waves of data in SAS format, compatible with Version 8+.
Stata files: the data stored in longitudinal files are distributed in Stata 8 SE. The data
split into wave-specific files are distributed in Stata 8 intercooled.
SPSS files: all waves of data in SPSS for Windows format
This is version N of the RAND HRS Data. A variable called FileVer, with the single
value “N”, identifies the version and appears on each file.
We suggest that you create a directory for these files and subdirectories for the pieces, for
example:
C:\randhrs\doc
for this file
C:\randhrs\programs
for the programs
C:\randhrs\sasdata
for the SAS files
C:\randhrs\stata
for the Stata files
C:\randhrs\spss
for the SPSS files
7.1.
Distribution files for Web Download
The files can be downloaded from the HRS web site (http://hrsonline.isr.umich.edu),
once you have registered to use HRS data. They are zipped for downloading; you must
unzip them to make them usable. They are available for download as an entire package
or documentation only. There are three different format packages: SAS, Stata 8 SE and
SPSS for Windows.
SAS and Stata formats differ in value labels and missing value codes. The SAS format is
the most comprehensive. Stata allows value labels for integer values only, so no value
labels are available for non-integer values. Beginning with version 8, Stata supports
multiple codes for missing values (.X, .S, .M, et cetera). SPSS does not support multiple
missing codes.
7. Distribution and Technical Notes
51
RAND HRS Data Distribution Files
Distribution file name
Included files
Description
randhrsn.pdf
Codebook
rndpgmn.zip
Programs
rndhrs_n.sas7bdat
SAS V9 data: all waves merged
sasfmts.sas7bdat
SAS formats for SPSS users
rnd_Ndd.pdf
Data description
randhrsn.pdf
Codebook
rndpgmn.zip
Programs
rndhrs_n.dta
Stata 8 SE data: all waves merged
rnd_Ndd.pdf
Data description (this file)
randhrsn.pdf
Codebook
rndpgmn.zip
Programs
rndhrs_n.sav
SPSS data: all waves merged
rnd_Ndd.pdf
Data description
randhrsn.pdf
Codebook
The complete package
randNsas.zip
randNstataSE.zip
randNspss.zip
Documentation only
rnddocn.zip
rndpgmn.zip
7.2.
Programs and Macros
The SAS programs used to derive the variables on this file are included in the data
distribution. When you unzip the rndpgmm.zip file it will create a Pgm\ directory with
the programs used to derive variables, with multiple subdirectories, corresponding to
function. They are:
• Demog: programs that derive demographic and family structure variables
• Health: programs that derive health variables
• Wealth: programs that derive wealth variables
• Income: programs that derive income variables
• Pension: programs that derive pension variables
• SS: programs that derive social security variables
• Health: programs that derive health variables
• Ins: programs that derive insurance variables
7. Distribution and Technical Notes
•
•
•
•
52
Ret:
programs that derive retirement variables
programs that derive employment variables
Mrg: program that pulls most raw variables needed by other programs
MrgN: program that combines the data from section-specific files
Emp:
The unzip will also create a Mac\ subdirectory where macros are stored and a Fmt\
subdirectory which stores the SAS formats.
The programs begin with the RAND version of the “raw” HRS data, which are flat files
(called Fat Files) for each wave with one observation per respondent and all the raw HRS
variables. These files also include some Tracker file information such as gender and
birth date, filled for new respondents when missing in the Tracker data. And they include
some derived variables such as employer-provided health insurance summaries in HRS
W1 and flags for problem cases. Household level variables are assigned to each
respondent in the household and, where the household level data applies to an individual,
self and spouse variables make clear whose data belongs to whom. The RAND-enhanced
“raw” HRS data (RAND HRS Fat Files) will be provided on request via our website
(http://www.rand.org/labor/aging/dataprod) where further description of these files may
also be found.
Beyond this document, the programs provide a precise record of how variables in the
RAND HRS data were derived. If you would like to make different assumptions than we
did, you can copy parts of our code and modify decisions we made. There are also a few
files that you may find useful.
The Pgm\setuphrs.inc file sets up SAS data libraries, gives locations of the macro files
and format library, and includes common RAND HRS SAS macros. It also assigns a
macro variable (&maxwv) to the last wave available in this version of the data. You can
modify this file to your system and then include it at the top of your SAS programs to
simplify these tasks. An example is given below. To use this file you will need to
modify it for your system. The file itself contains comments on what you need to change.
There are two macros that may be useful. They are wvlist and wvlabel, and can be found
in the files Mac\wvlist.mac and Mac\wvlabel.mac. The wvlist macro makes a list of
variables with the same stem for all waves, e.g.:
%wvlist(r,nmar mdiv mwid mend)
would insert the following in your code:
R1MRCT
R1MDIV
R1MWID
R1MEND
R2MRCT
R2MDIV
R2MWID
R2MEND
R3MRCT
R3MDIV
R3MWID
R3MEND
R4MRCT
R4MDIV
R4MWID
R4MEND
R5MRCT
R5MDIV
R5MWID
R5MEND
R6MRCT
R6MDIV
R6MWID
R6MEND
R7MRCT
R7MDIV
R7MWID
R7MEND
R8MRCT
R8MDIV
R8MWID
R8MEND
R9MRCT
R9MDIV
R9MWID
R9MEND
The wvlabel macro assigns labels to variables for all waves, e.g.:
%wvlabel(r,mrct,%str(R # marriages));
assigns variable labels to R1MRCT, R2MRCT, etc.
R10MRCT
R10MDIV
R10MWID
R10MEND
R11MRCT
R11MDIV
R11MWID
R11MEND
7. Distribution and Technical Notes
53
Details on the usage of these macros can be found in the comments at the beginning of
the wvlist.mac and wvlabel.mac files themselves. For instance you can limit their effects
to a range of waves, rather than all eight.
The addsp macro will add spouse versions of variables to your data. It can be found in
the Mac\addsp2.mac file. If you derive your own variables and use the same variable
naming convention as is used in this data set, you can use addsp to add the spouse’s
information with the “S” prefix instead of “R” on the variable name. For example:
%addsp(R4MYVARA %wvlist(R,MYVARB),infile,outfile);
would make S4MYVARA, S1MYVARB, S2MYVARB, S3MYVARB, S4MYVARB, S5MYVARB,
S6MYVARB, S7MYVARB, S8MYVARB and S9MYVARB by reading the R-versions of these
variables from “infile” for the appropriate spouses, renaming the as an S-version, and
adding it to “infile” variables to make “outfile”. The created S-variables are labeled and
the .V and .U missing values are assigned as appropriate. The SwHHIDPN, SwIWSTAT,
and RwMPART variables must be available on “infile”.
RwMSTAT,
To use the setuphrs.inc, wvlist.mac, wvlabel.mac, and addsp.mac files, a typical
program would begin with:
%include “[dir]\setuphrs.inc”; /* this includes the macros too */
Libname mylib “[name of folder to store your files”;
data mylib.myfile;
set randhrs.rndhrs_n (keep=HHIDPN …);
[…]
7.3.
The SAS Format Library
Many of the derived variables on this file have been assigned SAS formats, or value
labels. The formats can be found in text format in one of the Fmt\*.fmt files and are all
included in a SAS dataset (sasfmts.sas7bdat). There are also SAS formats that are used
to look up values using the SAS PUT function in data steps. For instance the format
library includes yearly CPI-U values in this form.
To create a formats catalogue, assuming sasfmts.sas7bdat is in c:\randhrs\sasdata, simly
run the following code
library library “C:\randhrs\sasdata”;
proc format library=library cntlin=sasfmts;
run;
7.3.1. Using (or Not Using) the SAS formats
To use them from the SAS format library you must include a LIBNAME LIBRARY
statement:
7. Distribution and Technical Notes
54
LIBNAME LIBRARY “&fmtlib”;
Where “&fmtlib” is the name of the directory where the formats.sas7bcat24 file is
stored. You can either put this statement in your SAS programs, e.g.:
LIBNAME LIBRARY “c:\randhrs\sasdata”;
where the format file is C:\randhrs\sasdata\formats.sas7bcat, or use “%include
setuphrs.inc” where you have set the macro variable &fmtlib to the name of the
appropriate directory.
If you do not have the LIBNAME LIBRARY statement in your program, SAS usually
gives you an error message and stops processing, unless you specify NOFMTERR on an
OPTIONS statement.
If you prefer not to use the assigned SAS formats, you can use the following statement in
SAS PROC steps or just after a SET or MERGE in a data step to unassign all formats:
FORMAT _ALL_ ;
You can then assign formats as you wish. The format assignments we assigned to
variables can be found by running a PROC CONTENTS on the data files. They are also
listed in *.format files located in subdirectories of the Pgm\ directory. For example, the
SS\ss_p.format file contains the SAS FORMAT statement that assigns Social Security
variables to their formats.
7.3.2. Consumer Price Index (CPI-U)
These deflation factors are based on the Bureau of Labor Statistics’ series of Consumer
Price Index for All Urban Consumers (CPI-U), All Items. In this series, 1982-84 is
normalized to 100. For details see http://www.bls.gov/cpi. The CPI-U is available from
1913 to 2013. The index is stored in a SAS format called CPI. To get the CPI-U for a
year you can use the following in a SAS data step:
cpiu=put(ayear,CPI.);
Where “ayear” is the name of a variable containing the 4-digit year for which you want
the CPI-U and “cpiu” is the name of the variable that will hold the index for that year.
“CPI.” is the name of the SAS format that has the indices for all available years. The CPI
format is stored on the formats.sas7bcat file provided with this dataset.
7.4.
Using the Data with Other HRS Files
To use these data with other HRS files, including the RAND-enhanced “raw” data files,
you should be able to simply merge by HHIDPN. All RAND files are already sorted by
this ID so should not need to be resorted. For instance to merge additional data from all
waves of the RAND-enhanced Fat Files with RAND HRS data, you could use the
following:
%include “[dir]\setuphrs.inc”;
Libname mylib “[name of folder to store your files”;
7. Distribution and Technical Notes
55
data mylib.newfile;
merge randhrs.rndhrs_n (keep=HHIDPN [list of other variables])
hrs.hd92f1b (keep=HHIDPN [list of raw core variables])
hrs.ad93f2a (keep=HHIDPN [list of raw core variables])
hrs.h94f1a (keep=HHIDPN [list of raw core variables])
hrs.ad95f2b (keep=HHIDPN [list of raw core variables])
hrs.h96f4a (keep=HHIDPN [list of raw core variables])
hrs.hd98f2c (keep=HHIDPN [list of raw core variables])
hrs.h00f1c (keep=HHIDPN [list of raw core variables])
hrs.h02f2d (keep=HHIDPN [list of raw core variables])
hrs.h04f1a (keep=HHIDPN [list of raw core variables])
hrs.h06f2a (keep=HHIDPN [list of raw core variables])
hrs.h08f1b (keep=HHIDPN [list of raw core variables])
hrs.h10f4a (keep=HHIDPN [list of raw core variables])
hrs.h12e1a (keep=HHIDPN [list of raw core variables]);
by HHIDPN;
where “[list of (other/raw core) variables]” would be replaced by a list of the SAS
variables you want to include. You can omit the KEEP option to include all the variables
from a given data set, but in this example the output file would be extremely large if you
did so for all the files listed.
If you have HRS data files which use the character version of HHIDPN, the RAHHIDPN
variable provides the 9-character equivalent of HHIDPN, filled with leading zeros, the
format that corresponds to the concatenated HHID and PN character IDs provided in the
raw HRS data. You may wish to rename HHIDPN to NHHIDPN and RAHHIDPN to HHIDPN or
whatever variable name you have used on your other HRS data files. HHID and PN are
also included as separate variables in the RAND HRS data and the Fat Files.
Alternatively you can use these two variables to merge.
For Stata and SPSS users, you can find example programs on our web site at
http://www.rand.org/labor/aging/dataprod/helphrs.html.
8:
Data Codebook
56
8:
Data Codebook
8:
Data Codebook
57
Contents of Data Codebook
Section A: Demographics, Identifiers, and Weights ..................................................... 62
Person Specific Identifier ........................................................................................................................................... 63
Household Identifier ................................................................................................................................................... 65
Spouse Identifier ......................................................................................................................................................... 68
Overlap Identifier for cases that moved from HRS to AHEAD ................................................................................. 70
Wave Status: Response Indicator ............................................................................................................................... 73
Wave Status: Interview Status .................................................................................................................................... 74
Sample Cohort ............................................................................................................................................................ 77
Whether Eligible for the HRS Sample........................................................................................................................ 80
Sampling Weight ........................................................................................................................................................ 82
Household Analysis Weight ....................................................................................................................................... 83
Person-Level Analysis Weight ................................................................................................................................... 85
Number of Household Respondents ........................................................................................................................... 88
Whether Couple Household........................................................................................................................................ 90
Financial , Family Respondent ................................................................................................................................... 91
Whether Proxy Interview ............................................................................................................................................ 95
Interview Dates ........................................................................................................................................................... 97
Birth date: Month, Year, and SAS date .................................................................................................................... 106
Death date: Month, Year, and SAS date ................................................................................................................... 110
Age at interview (in months and years) .................................................................................................................... 115
Gender....................................................................................................................................................................... 121
Race , Ethnicity: Race............................................................................................................................................... 123
Race , Ethnicity: Whether Hispanic.......................................................................................................................... 125
Census Region .......................................................................................................................................................... 127
Education: Years of Education ................................................................................................................................. 132
Education: Degrees, Diplomas ................................................................................................................................. 134
Education: Categorical summary.............................................................................................................................. 137
Parents' Education..................................................................................................................................................... 139
Current Marital Status: With partnership ................................................................................................................. 143
Current Marital Status: Current Partnership Status .................................................................................................. 149
Current Marital Status: Without partnership ............................................................................................................ 152
Number of Marriages ................................................................................................................................................ 159
Marital History: Never married ................................................................................................................................ 163
Marital History: # times divorced ............................................................................................................................. 170
Marital History: # times widowed ............................................................................................................................ 178
Marital History: # times don't know how marriage ended ....................................................................................... 186
Length of current marriage ....................................................................................................................................... 194
Length of longest marriage (including current) ........................................................................................................ 202
Religion..................................................................................................................................................................... 212
Veteran status............................................................................................................................................................ 214
Place of birth ............................................................................................................................................................. 216
Parental mortality...................................................................................................................................................... 219
Section B: Health ........................................................................................................... 228
Self-report of health .................................................................................................................................................. 229
8:
Data Codebook
58
Self-report of health change...................................................................................................................................... 231
Medical care utilization: Hospital ............................................................................................................................. 235
Medical care utilization: Nursing Home................................................................................................................... 240
Medical care utilization: Doctor ............................................................................................................................... 249
Medical care utilization: Home Care ........................................................................................................................ 253
Medical care utilization: Other Medical Care Utilization ........................................................................................ 256
Medical expenditures: Out of Pocket and Total ....................................................................................................... 262
Whether health limits work ...................................................................................................................................... 277
Activities of daily living (ADLs): Raw recodes ....................................................................................................... 280
Activities of daily living (ADLs): Some difficulty................................................................................................... 304
Activities of daily living (ADLs): Recodes for comparison to Wallace and Herzog ............................................... 316
Instrumental activities of daily living (IADLs): Raw recodes.................................................................................. 319
Instrumental activities of daily living (IADLs): Some difficulty ............................................................................. 336
Instrumental activities of daily living (IADLs): Recodes for comparison to Wallace and Herzog ......................... 349
Other Functional Limitations: Raw recodes ............................................................................................................. 352
Other Functional Limitations: Some difficulty......................................................................................................... 376
Other Functional Limitations: Recodes for comparison to Wallace and Herzog ..................................................... 393
ADL Summary: sum ADLs where respondent reports any difficulty ...................................................................... 398
IADL Summary: sum IADLs where respondent reports any difficulty ................................................................... 401
Other Summary Indices: Mobility, Large Muscle, Gross Fine Motor Activities ..................................................... 404
Mental health (CESD score) ..................................................................................................................................... 409
Doctor diagnosed health problems: Raw Recodes and Question Wording .............................................................. 424
Doctor diagnosed health problems: Ever Have Condition ....................................................................................... 448
Doctor diagnosed health problems: Memory-related disease ................................................................................... 471
BMI ........................................................................................................................................................................... 477
Back problems .......................................................................................................................................................... 481
Ulcers ........................................................................................................................................................................ 484
Health behaviors: Physical Activity or Exercise ...................................................................................................... 486
Health behaviors: Drinking....................................................................................................................................... 494
Health behaviors: Preventive behaviors ................................................................................................................... 500
Health behaviors: Smoking (cigarettes).................................................................................................................... 508
Change in Health: Self-reported health .................................................................................................................... 512
Change in Health: Functional Limitations ................................................................................................................ 515
Change in Health: Conditions ................................................................................................................................... 522
Change in Health: Memory-related disease .............................................................................................................. 534
Change in Health: Self-reported Mortality Expectations ......................................................................................... 536
Imputed Cognition: Number Series Score ................................................................................................................ 543
Imputed Cognition: Status and Flags ........................................................................................................................ 544
Imputed Cognition: Self-reported Memory .............................................................................................................. 548
Imputed Cognition: Immediate Word Recall ........................................................................................................... 554
Imputed Cognition: Delayed Word Recall ............................................................................................................... 559
Imputed Cognition: Serial 7's ................................................................................................................................... 564
Imputed Cognition: Backwards Counting ................................................................................................................ 568
Imputed Cognition: Date Naming ............................................................................................................................ 573
Imputed Cognition: Object Naming ......................................................................................................................... 582
Imputed Cognition: President/Vice-President Naming ............................................................................................ 587
8:
Data Codebook
59
Imputed Cognition: Vocabulary ............................................................................................................................... 592
Imputed Cognition: Summary Scores ....................................................................................................................... 596
Section C: Financial and Housing Wealth................................................................... 599
Net value of real estate (not primary residence) ....................................................................................................... 600
Net value of vehicles ................................................................................................................................................ 605
Net value of businesses ............................................................................................................................................. 610
Net value of IRA, Keogh accounts ........................................................................................................................... 615
Net value of stocks, mutual funds, and investment trusts......................................................................................... 622
Value of checking, savings, or money market accounts ........................................................................................... 627
Value of CD, government savings bonds, and T-bills .............................................................................................. 632
Net value of bonds and bond funds .......................................................................................................................... 637
Net value of all other savings ................................................................................................................................... 642
Value of other debt ................................................................................................................................................... 647
Value of primary residence ....................................................................................................................................... 652
Value of all mortgages/land contracts (primary residence) ...................................................................................... 659
Value of other home loans (primary residence) ....................................................................................................... 666
Net value of primary residence ................................................................................................................................. 672
Value of secondary residence ................................................................................................................................... 673
Value of all mortgages/land contracts (secondary residence) .................................................................................. 678
Net value of secondary residence ............................................................................................................................. 683
Net value of non-housing financial wealth ............................................................................................................... 684
Total Wealth (Excluding Secondary Residence) ...................................................................................................... 685
Total Wealth (Including Secondary Residence) ....................................................................................................... 686
Total Wealth (Excluding IRAs) ................................................................................................................................ 687
Total Non-housing Wealth ....................................................................................................................................... 688
Change in wealth ...................................................................................................................................................... 689
Section D: Income .......................................................................................................... 692
Individual Earnings ................................................................................................................................................... 693
Household Capital Income ....................................................................................................................................... 705
Individual Income from Employer Pension or Annuity ........................................................................................... 724
Individual Income from Social Security DI or SSI .................................................................................................. 745
Individual Income from Social Security Retirement ................................................................................................ 761
Individual Unemployment or Workers Compensation ............................................................................................. 771
Individual income from other government transfers ................................................................................................ 781
All other household income ...................................................................................................................................... 795
Total household income (respondent & spouse) ...................................................................................................... 804
Poverty Threshold ..................................................................................................................................................... 807
Section E: Social Security ............................................................................................. 820
Receives Social Security in any wave ...................................................................................................................... 821
Age when started to receive Social Security ............................................................................................................ 824
SSDI, SSI Disability Episodes .................................................................................................................................. 827
SSDI, SSI Status (Each Wave) ................................................................................................................................. 855
SSDI, SSI Amount Receiving (Each Wave)............................................................................................................. 862
Predicted SS wealth of Pre-retirees .......................................................................................................................... 865
Section F: Pension .......................................................................................................... 868
Currently receiving any pension income .................................................................................................................. 869
8:
Data Codebook
60
# of Pensions currently receive ................................................................................................................................. 872
Whether pensions can continue ................................................................................................................................ 875
Any pension from current job ................................................................................................................................... 880
# of pensions from current job .................................................................................................................................. 886
Type of pension from current job ............................................................................................................................. 890
Detailed type of pension from current job ................................................................................................................ 898
Section G: Health Insurance ......................................................................................... 906
Covered by federal government Health insurance program ..................................................................................... 907
Covered by Health insurance from a current or previous employer ......................................................................... 914
Whether employer-provided Health plan covers retirees ......................................................................................... 924
Number of Health Insurance plans ........................................................................................................................... 929
Plan-specific employer-provided health insurance: Source of insurance and who is covered ................................. 932
Plan-specific employer-provided health insurance: Coverage in retirement ............................................................ 946
Covered by other Health insurance........................................................................................................................... 958
Covered by long-term care insurance ....................................................................................................................... 963
Covered by life insurance ......................................................................................................................................... 967
Section H: Family Structure ......................................................................................... 970
Number of people living in the household ............................................................................................................... 971
Number of children ................................................................................................................................................... 974
Number of living siblings ......................................................................................................................................... 978
Number of living parents .......................................................................................................................................... 984
Number of children ever born................................................................................................................................... 987
Section I: Retirement Plans, Expectations .................................................................. 990
Whether retired: Consider self retired ...................................................................................................................... 991
Whether retired: Retirement Month and Year, If Says Retired ................................................................................ 994
Planned retirement year ............................................................................................................................................ 999
Expects spouse to retire at the same time ............................................................................................................... 1004
Concerned about having enough retirement income .............................................................................................. 1006
Expectations regarding retirement living standards versus current living standards ............................................. 1007
Expectation of total retirement wealth .................................................................................................................... 1008
Plans to continue paid work in retirement .............................................................................................................. 1009
Self-reported probability of living to age 75 .......................................................................................................... 1010
Self-reported probability of living to age 85 .......................................................................................................... 1015
Categorical risk aversion: based on the set of “income gamble” questions ........................................................... 1022
Financial planning horizon ..................................................................................................................................... 1027
Did R respond to at least the first three probability questions ................................................................................ 1029
Self-reported probability of receiving an inheritance ............................................................................................. 1031
Self-reported probability of leaving a bequest........................................................................................................ 1033
Self-reported probability of working full-time after age 62 ................................................................................... 1039
Self-reported probability of working full-time after age 65 ................................................................................... 1043
Self-reported probability of having a work limiting health problem in next 10 years ........................................... 1047
Self-reported probability of moving to nursing home in next 5 years .................................................................... 1049
Retirement satisfaction ........................................................................................................................................... 1051
Retirement years compared to years just before retirement ................................................................................... 1054
Section J: Employment History .................................................................................. 1057
Currently working for pay ...................................................................................................................................... 1058
8:
Data Codebook
61
Whether Self-Employed ......................................................................................................................................... 1062
Labor Force Status .................................................................................................................................................. 1065
In the labor force ..................................................................................................................................................... 1071
Retired Employment Status .................................................................................................................................... 1076
Unemployed ............................................................................................................................................................ 1079
Hours of work per week at current job ................................................................................................................... 1084
Weeks worked per year at current job .................................................................................................................... 1088
Wage rate ................................................................................................................................................................ 1092
Current job requires lots of physical effort ............................................................................................................. 1109
Current job requires lifting heavy loads ................................................................................................................. 1112
Current job requires stooping, kneeling, or crouching ........................................................................................... 1115
Current job requires good eyesight ......................................................................................................................... 1118
Current job involves lots of stress .......................................................................................................................... 1121
Years of tenure on current job ................................................................................................................................ 1124
Occupation code for current job ............................................................................................................................. 1127
Industry code for current job .................................................................................................................................. 1133
Years of tenure at longest reported job ................................................................................................................... 1137
Occupation code for job with longest reported tenure............................................................................................ 1148
Industry code for job with longest tenure ............................................................................................................... 1155
Job History Status ................................................................................................................................................... 1160
Total years worked from self report ....................................................................................................................... 1172
Month and year last job ended ................................................................................................................................ 1183
Section A: Demographics, Identifiers, and Weights
62
Section A: Demographics, Identifiers, and Weights
Section A: Demographics, Identifiers, and Weights
63
Person Specific Identifier
Wave
Variable
Label
Type
1
1
HHID
PN
HHID: HHold ID / 6-Char
Person Number (CHAR)
Char
Char
1
1
HHIDPN
RAHHIDPN
HHIDPN: HHold ID + Person Number /Num
RAHHIDPN: HHold ID + Person Num /9-Char
Cont
Char
Descriptive Statistics
Variable
HHIDPN
N
37319
Mean
255521272.30
Std Dev
247538177.24
Minimum
1010.0
Maximum
959738010.0
How Constructed:
HHID is the 6-character HRS household identifier and PN is the 3-character person number. Together, HHID
and PN uniquely identify each individual in the HRS public-release data. On the RAND HRS, they are
provided separately and, for convenience, in combination as HHIDPN and RAHHIDPN.
HHIDPN is the numeric version of the combined household and person identifier that identifies each
respondent uniquely. It is set to HHID*1000 + PN. RAHHIDPN is the 9-character version of HHIDPN, with
leading zeros. For example, if the HHID is 012345 and PN is 010 then HHIDPN is 12345010 and RAHHIDPN is
012345010.
HHID and PN, HHIDPN, and RAHHIDPN are all equivalent and unique identifiers, and the RAND HRS sort order
is the same for all three. To merge the RAND HRS with other data sources, one may use the single
variables HHIDPN or RAHHIDPN, or the two variables HHID and PN, whichever is available and most
convenient. Other RAND data products also provide all of these identifiers. The programs used to
develop the RAND HRS use HHIDPN, so that means of the numeric ID may be checked to ensure none are
missing.
Around 100 individuals responded to HRS 1992 (W1) but were AHEAD eligible, and their households were
given to the AHEAD sample. From 1993 on they are treated as AHEAD cases. On this file these cases are
identified by their AHEAD IDs, and are linked to their HRS 1992 data. These are the only AHEAD entry
cohort respondents with any W1 data. These "HRS-AHEAD" overlap cases are identified by RAOVRLAP (=1).
There is one case that does not appear to be an overlap case, that is, has an HRS ID and no OVHHID, or
AHEAD ID on the Tracker file, but is married in HRS W1 to an individual who is an overlap case. This
individual is also married in Ahead to a spouse who appears to be the same as the HRS-only spouse. We
treat these spouses as the same individual in this file, identified by the AHEAD ID.
In addition a few individuals within the AHEAD sample married someone from a different AHEAD household.
These cases have one AHEAD ID for early waves, but are assigned a new one after the within-sample
marriage in the core public use data. This file identifies these respondents by their most recent AHEAD
ID and links their data across all waves. RAOVRAYR gives the last year in which the original HHIDPN is
assigned, i.e., the last interview before the within-sample marriage. For example, if someone married
another AHEAD sample member in different household between 1995 and 1998, RAOVRAYR=1995. These "AHEADAHEAD" overlap cases are identified by RAOVRLAP as well (=2).
Based on data alerts from HRS, we have made several changes to cases in 2000 and 2002.
deleted in each of these years, and in 2000 HHIDPN 75573041 is changed to 75573010.
There is one case
Please refer to Appendix A for a list of overlap cases and other ID change information.
section on “Overlap cases” for a description of the RAOVRLAP flag and alternate IDs.
Please see the
HRS Variables Used
Section A: Demographics, Identifiers, and Weights
HRS 1992:
HHID
PN
AHEAD 1993:
HHID
PN
HRS 1994:
HHID
PN
AHEAD 1995:
HHID
PN
HRS 1996:
HHID
PN
HRS 1998:
HHID
PN
HRS 2000:
HHID
PN
HRS 2002:
HHID
PN
HRS 2004:
HHID
PN
HRS 2006:
HHID
PN
HRS 2008:
HHID
PN
HRS 2010:
HHID
PN
HRS 2012:
HHID
PN
Tracker:
HHID
OVHHID
OVPN
PN
HOUSEHOLD IDENTIFIER
PERSON NUMBER
HOUSEHOLD IDENTIFIER
PERSON NUMBER
HOUSEHOLD IDENTIFIER
PERSON NUMBER
HOUSEHOLD IDENTIFIER
PERSON NUMBER
HOUSEHOLD IDENTIFIER
PERSON NUMBER
HOUSEHOLD IDENTIFIER
PERSON NUMBER
HOUSEHOLD IDENTIFIER
PERSON NUMBER
HOUSEHOLD IDENTIFIER
PERSON NUMBER
HOUSEHOLD IDENTIFIER
PERSON NUMBER
HOUSEHOLD IDENTIFIER
PERSON NUMBER
HOUSEHOLD IDENTIFIER
PERSON NUMBER
HOUSEHOLD IDENTIFIER
PERSON NUMBER
HOUSEHOLD IDENTIFIER
PERSON NUMBER
HOUSEHOLD IDENTIFIER
OVERLAP CASE: OLD HHID
OVERLAP CASE: OLD PN
PERSON NUMBER
64
Section A: Demographics, Identifiers, and Weights
65
Household Identifier
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
H1HHID
H2HHID
H3HHID
H4HHID
H5HHID
H6HHID
H7HHID
H8HHID
H9HHID
H10HHID
H11HHID
H1HHID:W1 HHold ID +
H2HHID:W2 HHold ID +
H3HHID:W3 HHold ID +
H4HHID:W4 HHold ID +
H5HHID:W5 HHold ID +
H6HHID:W6 HHold ID +
H7HHID:W7 HHold ID +
H8HHID:W8 HHold ID +
H9HHID:W9 HHold ID +
H10HHID:W10 HHold ID
H11HHID:W11 HHold ID
1
2
3
4
5
6
7
8
9
10
11
H1HHIDC
H2HHIDC
H3HHIDC
H4HHIDC
H5HHIDC
H6HHIDC
H7HHIDC
H8HHIDC
H9HHIDC
H10HHIDC
H11HHIDC
H1HHIDC:W1 HHold ID +
H2HHIDC:W2 HHold ID +
H3HHIDC:W3 HHold ID +
H4HHIDC:W4 HHold ID +
H5HHIDC:W5 HHold ID +
H6HHIDC:W6 HHold ID +
H7HHIDC:W7 HHold ID +
H8HHIDC:W8 HHold ID +
H9HHIDC:W9 HHold ID +
H10HHIDC:W10 HHold ID
H11HHIDC:W11 HHold ID
SubHHold /Num
SubHHold /Num
SubHHold /Num
SubHHold /Num
SubHHold /Num
SubHHold /Num
SubHHold /Num
SubHHold /Num
SubHHold /Num
+ SubHHold /Num
+ SubHHold /Num
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
SubHHold /7-Char
SubHHold /7-Char
SubHHold /7-Char
SubHHold /7-Char
SubHHold /7-Char
SubHHold /7-Char
SubHHold /7-Char
SubHHold /7-Char
SubHHold /7-Char
+ SubHHold /7-Char
+ SubHHold /7-Char
Char
Char
Char
Char
Char
Char
Char
Char
Char
Char
Char
Descriptive Statistics
Variable
H1HHID
H2HHID
H3HHID
H4HHID
H5HHID
H6HHID
H7HHID
H8HHID
H9HHID
H10HHID
H11HHID
N
12652
19642
17991
21384
19579
18165
20129
18469
17217
22034
20554
Mean
492181.43
1133404.38
1090001.28
1209708.45
1178813.45
1139184.18
1748203.12
1716759.78
1717848.99
3190737.77
3227367.28
Std Dev
273913.39
791404.84
784075.68
767109.01
763685.69
755892.49
1606542.38
1610087.26
1641192.71
2882407.61
2900024.57
Minimum
10.0
10.0
20.0
20.0
20.0
30.0
30.0
30.0
30.0
30.0
30.0
Maximum
2088670.0
2088980.0
2088980.0
2134790.0
2134790.0
2134790.0
5027610.0
5027610.0
5027610.0
9597380.0
9597380.0
How Constructed:
The HwHHID identifiers combine HHID with sub-household ID for each wave. They uniquely identify a
household in a given wave. Households that split are given different subHH ids by HRS. HwHHID is
numeric (HHID*10+subHH). HwHHIDC is the 7-character version, with leading zeros. For example if HHID is
012345 and the Wave “w” subHH is 2 then HwHHID is 123452 and HwHHIDC is “0123452”.
Around 100 individuals responded to HRS 1992 (W1) but were AHEAD eligible, and their households were
given to the AHEAD sample. From 1993 on they are treated as AHEAD cases. On this file these cases are
identified by their AHEAD IDs, and are linked to their HRS 1992 data. These are the only AHEAD entry
cohort respondents with any W1 data. These "HRS-AHEAD" overlap cases are identified by RAOVRLAP (=1).
In addition a few individuals within the AHEAD sample married someone from a different AHEAD household.
These cases have one AHEAD ID for early waves, but are assigned a new one after the within-sample
marriage. This file identifies these respondents by their most recent AHEAD HHIDPN. RAOVRAYR gives the
last year in which the original HHIDPN is assigned, i.e., the last interview before the within-sample
marriage. For example, if someone married another AHEAD sample member in different household between
Section A: Demographics, Identifiers, and Weights
66
1995 and 1998, RAOVRAYR=1995. These are "AHEAD-AHEAD" overlap cases and are identified by RAOVRLAP as
well (=2).
For the HRS-AHEAD overlap cases the HwHHID and HwHHIDC variables reflect the AHEAD household identifier
in all waves. For the AHEAD-AHEAD overlap cases, HwHHID and HwHHIDC reflect the actual AHEAD subhousehold for the respondent in each wave. So, for example, if R was in household 200000.0 in 1995 and
married into household 290000.0 in 1998, H3HHID would be 200000.0 and H4HHID would be 290000.0.
Please refer to Appendix A for a list of overlap cases.
Also in Wave 3H, there are a few households that appear to be reunited based on
the CoverSheet section. They are reunited in Wave 4 in the public use HRS core
sub-household IDs in Wave 3. We reunite them in Wave 3 in the RAND HRS. These
(PNs 010 and 040), 22999 (PNs 010 and 020), 40609 (PNs 010 and 020), 40441 (PNs
010 and 040). These cases will have different sub-household IDs in H3HHID from
Tracker and core 1996 files. The spouse PNs will also differ.
answers to questions in
data, but have different
households are: 17520
010 and 020), 50945 (PNs
the ESUBHH found in the
In 1994, one household, 15730 is split in the core data, but together in Tracker file. In this household,
15730.020 was interviewed, then died before the widow (15730.030) was interviewed. We treat these two
cases as being in separate households, as they are in the core data.
In some other households, the Tracker file shows a non-responding spouse, but the core data indicate that
the couple is split. We treat these couples as split. In most households, this involves a change for the
non-responding spouse so that the sub-household ID on this file differs from that on the Tracker file but
still matches that on the core data. For two households, 10646 and 65564, the FSUBHH used to derive
H4HHID also differs from that on the core 1998 data for the responding spouse. That is, they are shown
as not split in both Tracker and 1998 core data, but are split on the RAND HRS based on core cover sheet
information. Note that the spouse PN for the responding spouse in these two households was set to
missing in Wave 4.
HRS Variables Used
HRS 1992:
HHID
AHEAD 1993:
BSUBHH
HHID
HRS 1994:
W2SUBHH
HHID
AHEAD 1995:
DSUBHH
HHID
HRS 1996:
ESUBHH
HHID
HRS 1998:
FSUBHH
HHID
HRS 2000:
GSUBHH
HHID
HRS 2002:
HHID
HSUBHH
HRS 2004:
HHID
JSUBHH
HRS 2006:
HHID
KSUBHH
HRS 2008:
HHID
HOUSEHOLD IDENTIFIER
1993 SUB-HOUSEHOLD IDENTIFIER
HOUSEHOLD IDENTIFIER
HRS Wave 2 Sub-household ID
HOUSEHOLD IDENTIFIER
1995 SUB-HOUSEHOLD IDENTIFIER
HOUSEHOLD IDENTIFIER
1996 SUB-HOUSEHOLD IDENTIFIER
HOUSEHOLD IDENTIFIER
1998 SUB-HOUSEHOLD IDENTIFIER
HOUSEHOLD IDENTIFIER
2000 SUB-HOUSEHOLD IDENTIFIER
HOUSEHOLD IDENTIFIER
HOUSEHOLD IDENTIFIER
2002 SUB-HOUSEHOLD INDENTIFIER
HOUSEHOLD IDENTIFIER
2004 SUB-HOUSEHOLD INDENTIFIER
HOUSEHOLD IDENTIFIER
2006 SUB-HOUSEHOLD IDENTIFIER
HOUSEHOLD IDENTIFIER
Section A: Demographics, Identifiers, and Weights
LSUBHH
HRS 2010:
HHID
MSUBHH
HRS 2012:
HHID
NSUBHH
Tracker:
ASUBHH
BSUBHH
CSUBHH
DSUBHH
ESUBHH
FSUBHH
GSUBHH
HHID
HSUBHH
JSUBHH
KSUBHH
LSUBHH
MSUBHH
NSUBHH
OVHHID
OVPN
PN
2008 SUB-HOUSEHOLD IDENTFIER
HOUSEHOLD IDENTIFIER
2010 SUB-HOUSEHOLD IDENTIFIER
HOUSEHOLD IDENTIFIER
2012 SUB-HOUSEHOLD IDENTIFIER
1992 SUB-HOUSEHOLD IDENTIFIER
1993 SUB-HOUSEHOLD IDENTIFIER
1994 SUB-HOUSEHOLD IDENTIFIER
1995 SUB-HOUSEHOLD IDENTIFIER
1996 SUB-HOUSEHOLD IDENTIFIER
1998 SUB-HOUSEHOLD IDENTIFIER
2000 SUB-HOUSEHOLD IDENTIFIER
HOUSEHOLD IDENTIFIER
2002 SUB-HOUSEHOLD INDENTIFIER
2004 SUB-HOUSEHOLD INDENTIFIER
2006 SUB-HOUSEHOLD IDENTIFIER
2008 SUB-HOUSEHOLD IDENTFIER
2010 SUB-HOUSEHOLD IDENTIFIER
2012 SUB-HOUSEHOLD IDENTIFIER
OVERLAP CASE: OLD HHID
OVERLAP CASE: OLD PN
PERSON NUMBER
67
Section A: Demographics, Identifiers, and Weights
68
Spouse Identifier
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
S1HHIDPN
S2HHIDPN
S3HHIDPN
S4HHIDPN
S5HHIDPN
S6HHIDPN
S7HHIDPN
S8HHIDPN
S9HHIDPN
S10HHIDPN
S11HHIDPN
S1HHIDPN:W1 Spouse HHIDPN
S2HHIDPN:W2 Spouse HHIDPN
S3HHIDPN:W3 Spouse HHIDPN
S4HHIDPN:W4 Spouse HHIDPN
S5HHIDPN:W5 Spouse HHIDPN
S6HHIDPN:W6 Spouse HHIDPN
S7HHIDPN:W7 Spouse HHIDPN
S8HHIDPN:W8 Spouse HHIDPN
S9HHIDPN:W9 Spouse HHIDPN
S10HHIDPN:W10 Spouse HHIDPN
S11HHIDPN:W11 Spouse HHIDPN
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
RASPCT
RASPCT: # of spouses with ID
Cont
1
RASPID1
RASPID1: HHIDPN of 1st spouse
Cont
1
RASPID2
RASPID2: HHIDPN of 2nd spouse
Cont
1
RASPID3
RASPID3: HHIDPN of 3rd spouse
Cont
1
RASPID4
RASPID4: HHIDPN of 4th spouse
Cont
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
S1HHIDPN
S2HHIDPN
S3HHIDPN
S4HHIDPN
S5HHIDPN
S6HHIDPN
S7HHIDPN
S8HHIDPN
S9HHIDPN
S10HHIDPN
S11HHIDPN
12652
19579
17924
21318
19545
18144
20118
18468
17216
22030
20554
40146194.53
69286448.52
64712174.26
73875455.18
70097172.55
65995307.78
114263253.87
111704936.99
110966257.43
211141745.29
212128980.29
31817608.99
78269490.35
75514086.18
79688483.08
77812345.28
75312554.74
160029968.42
159934303.82
162224673.15
279932166.54
281934150.40
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
208867020.0
208898020.0
208898020.0
213479020.0
213479020.0
213479020.0
502759020.0
502759020.0
502759020.0
923525020.0
958361011.0
RASPCT
37319
0.77
0.48
0.0
4.0
RASPID1
27787
242676381.65
245168054.78
3010.0
958361011.0
RASPID2
912
134752468.26
161922402.22
10299012.0
918716011.0
RASPID3
51
89007980.04
103371851.17
11936012.0
501614012.0
RASPID4
5
40259629.00
21815421.66
16973033.0
64609043.0
How Constructed:
HRS respondents have up to 4 different individuals as spouses or partners from 1992 to 2008. Cohabiting
partners are treated as spouses for all but the marriage variables in this file. RASPCT tells how many
spouses R has over all waves. Their HHIDPNs are given in RASPID1-RASPID4. SwHHIDPN gives the HHIDPN of
the spouse in Wave 'w'. The SwHHIDPN variables are derived from HHID and the spouse person numbers found
in the core data and on the Tracker file. These are the numeric versions of the IDs.
Section A: Demographics, Identifiers, and Weights
69
There are a number of cases where the spouse PN on the Tracker file does not match that used in the core
data or in this file. In some cases the spouse identified on the Tracker is deceased or otherwise nonresponding when R indicates not being married or partnered. In other cases, the spouse PN is missing on
the Tracker file but available in the core data. On this file, the SwHHIDPNs of deceased or other
spouses no longer part of the couple are set to zero, and core spouse PNs are used when missing from
Tracker.
If there is no spouse in a given wave, SwHHIDPN is set to zero. If SwHHIDPN is unknown, and the marital
status in a particular wave is either missing (.M) or married, SwHHIDPN is set to a special missing code
of .M. If R is non-response in a given wave, SwHHIDPN is set to plain missing (.).
There are spouse versions of most respondent variables. Each wave carries that wave's spouse's
demographic and other information. For example, S1BDATE and S4BDATE are the birth dates for the Wave 1
and Wave 4 spouses, respectively. If the spouse in Wave 4 is the same as the spouse in Wave 1, these
dates will be identical. But if the spouse in Wave 4 is different from the spouse in Wave 1, these will
probably be different dates. If these spouse variables are missing because R is not married or
partnered, they are set to SAS special missing .U. If they are missing because R's spouse or partner did
not respond they are set to a .V missing.
HRS Variables Used
AHEAD 1993:
BSPN
HHID
HRS 2002:
HPN_SP
HHID
HRS 2004:
JPN_SP
HHID
HRS 2006:
KPN_SP
HHID
HRS 2008:
LPN_SP
HHID
HRS 2010:
MPN_SP
HHID
HRS 2012:
NPN_SP
HHID
Tracker:
APPN
BPPN
CPPN
DPPN
EPPN
FPPN
GPPN
HHID
HPPN
JPPN
KPPN
LPPN
MPPN
NPPN
SPOUSE/PARTNER PERSON NUMBER
HOUSEHOLD IDENTIFIER
2002 SPOUSE/PARTNER PERSON NUMBER
HOUSEHOLD IDENTIFIER
2004 SPOUSE/PARTNER PERSON NUMBER
HOUSEHOLD IDENTIFIER
2006 SPOUSE/PARTNER PERSON NUMBER
HOUSEHOLD IDENTIFIER
2008 SPOUSE/PARTNER PERSON NUMBER
HOUSEHOLD IDENTIFIER
2010 SPOUSE/PARTNER PERSON NUMBER
HOUSEHOLD IDENTIFIER
2012 SPOUSE/PARTNER PERSON NUMBER
HOUSEHOLD IDENTIFIER
1992 SPOUSE-PARTNER PERSON
1993 SPOUSE-PARTNER PERSON
1994 SPOUSE-PARTNER PERSON
1995 SPOUSE-PARTNER PERSON
1996 SPOUSE-PARTNER PERSON
1998 SPOUSE-PARTNER PERSON
2000 SPOUSE-PARTNER PERSON
HOUSEHOLD IDENTIFIER
2002 SPOUSE-PARTNER PERSON
2004 SPOUSE-PARTNER PERSON
2006 SPOUSE-PARTNER PERSON
2008 SPOUSE-PARTNER PERSON
2010 SPOUSE-PARTNER PERSON
2012 SPOUSE-PARTNER PERSON
NUMBER
NUMBER
NUMBER
NUMBER
NUMBER
NUMBER
NUMBER
NUMBER
NUMBER
NUMBER
NUMBER
NUMBER
NUMBER
Section A: Demographics, Identifiers, and Weights
70
Overlap Identifier for cases that moved from HRS to AHEAD
Wave
Variable
Label
Type
1
RAOVRLAP
RAOVRLAP: Overlap/AltID case
Categ
1
RAOVRAYR
RAOVRAYR:Ahd-Ahd ovrlap-alt id end yr
Cont
1
HAOAHDHH
HAOAHDHH: Overlap/AltID case-Ahead core HHID/Num
Cont
1
RAOAHDID
RAOAHDID: Overlap/AltID case-Ahead core HHIDPN
Cont
1
2
3
4
5
6
7
8
9
10
11
S1OAHDID
S2OAHDID
S3OAHDID
S4OAHDID
S5OAHDID
S6OAHDID
S7OAHDID
S8OAHDID
S9OAHDID
S10OAHDID
S11OAHDID
S1OAHDID: Overlap/AltID case-Ahead core HHIDPN
S2OAHDID: Overlap/AltID case-Ahead core HHIDPN
S3OAHDID: Overlap/AltID case-Ahead core HHIDPN
S4OAHDID: Overlap/AltID case-Ahead core HHIDPN
S5OAHDID: Overlap/AltID case-Ahead core HHIDPN
S6OAHDID: Overlap/AltID case-Ahead core HHIDPN
S7OAHDID: Overlap/AltID case-Ahead core HHIDPN
S8OAHDID: Overlap/AltID case-Ahead core HHIDPN
S9OAHDID: Overlap/AltID case-Ahead core HHIDPN
S10OAHDID: Overlap/AltID case-Ahead core HHIDPN
S11OAHDID: Overlap/AltID case-Ahead core HHIDPN
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
H1OHRSHH
H1OHRSHH:W1 HRS core HHID + SubHHold /Num
Cont
1
RAOHRSID
RAOHRSID: Overlap/AltID case-HRS core HHIDPN/Num
Cont
1
2
3
4
5
6
7
8
9
10
11
S1OHRSID
S2OHRSID
S3OHRSID
S4OHRSID
S5OHRSID
S6OHRSID
S7OHRSID
S8OHRSID
S9OHRSID
S10OHRSID
S11OHRSID
S1OHRSID: Overlap/AltID case-HRS core HHIDPN/Num
S2OHRSID: Overlap/AltID case-HRS core HHIDPN/Num
S3OHRSID: Overlap/AltID case-HRS core HHIDPN/Num
S4OHRSID: Overlap/AltID case-HRS core HHIDPN/Num
S5OHRSID: Overlap/AltID case-HRS core HHIDPN/Num
S6OHRSID: Overlap/AltID case-HRS core HHIDPN/Num
S7OHRSID: Overlap/AltID case-HRS core HHIDPN/Num
S8OHRSID: Overlap/AltID case-HRS core HHIDPN/Num
S9OHRSID: Overlap/AltID case-HRS core HHIDPN/Num
S10OHRSID: Overlap/AltID case-HRS core HHIDPN/Num
S11OHRSID: Overlap/AltID case-HRS core HHIDPN/Num
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
RAOVRLAP
37319
0.00
0.06
0.0
2.0
RAOVRAYR
37319
0.11
14.62
0.0
1998.0
HAOAHDHH
37319
614.23
11196.34
0.0
208867.0
RAOAHDID
37319
614234.05
11196337.97
0.0
208867020.0
S1OAHDID
S2OAHDID
S3OAHDID
S4OAHDID
S5OAHDID
S6OAHDID
S7OAHDID
S8OAHDID
S9OAHDID
10279
13608
12269
14453
13007
11822
13307
12001
10953
2170520.05
1593881.14
1434741.97
1103979.05
1084597.76
865667.89
600720.19
545914.88
431146.38
20968403.46
17990880.05
17078562.49
14988650.82
14853225.53
13284425.71
11081327.60
10559062.63
9399931.70
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
208867020.0
208867020.0
208867020.0
208867020.0
208289020.0
208867020.0
208867020.0
207784020.0
208867020.0
Section A: Demographics, Identifiers, and Weights
71
S10OAHDID
S11OAHDID
14151
12987
201891.05
172414.58
6416324.61
5922522.83
0.0
0.0
208867020.0
208867020.0
H1OHRSHH
37319
1305.81
27132.46
0.0
870320.0
RAOHRSID
37319
130581.23
2713247.44
0.0
87032030.0
S1OHRSID
S2OHRSID
S3OHRSID
S4OHRSID
S5OHRSID
S6OHRSID
S7OHRSID
S8OHRSID
S9OHRSID
S10OHRSID
S11OHRSID
10279
13608
12269
14453
13007
11822
13307
12001
10953
14151
12987
470989.17
350099.40
324834.80
238759.63
235302.27
172952.56
115974.37
102664.43
88615.77
44703.79
34824.00
5144962.69
4457688.02
4309945.56
3645042.87
3619739.25
3128305.12
2511708.09
2278951.45
2139235.68
1529636.98
1277475.05
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
87032030.0
87032030.0
87032030.0
87032030.0
87032030.0
87032030.0
87032030.0
87032030.0
87032030.0
87032030.0
75811010.0
Categorical Variable Codes
Value----------------------|RAOVRLAP
0.Not ovrlap case
|37207
1.Hrs-Ahd ovrlap
|110
2.Ahd-Ahd ovrlap
|2
How Constructed:
Around 100 individuals responded to HRS 1992 (W1) but were AHEAD eligible, and their households were
given to the AHEAD sample. From 1993 on they are treated as AHEAD cases. On this file these cases are
identified by their AHEAD IDs, and are linked to their HRS 1992 data. These are the only AHEAD entry
cohort respondents with any W1 data. These are "HRS-AHEAD" overlap cases and are identified by RAOVRLAP
(=1).
There is one case that does not appear to be an overlap case, that is, has an HRS ID and no OVHHID on the
Tracker file, but is married in HRS W1 to a spouse who is an overlap case. The spouse is married in
Ahead to an individual who appears to be the same as the HRS-only spouse. We treat these spouses as the
same people in this file.
In addition a few individuals within the AHEAD sample married someone from a different AHEAD household.
These cases have one AHEAD ID for early waves, but are assigned a new one after the within-sample
marriage. This file identifies these respondents by their most recent AHEAD ID. RAOVRAYR gives the last
year in which the original HHIDPN is assigned, i.e., the last interview before the within-sample
marriage. For example, if someone married another AHEAD sample member in a different household between
1995 and 1998, RAOVRAYR=1995. These are "AHEAD-AHEAD" overlap cases and are identified by RAOVRLAP as
well (=2).
RAOAHDID is the AHEAD HHIDPN for the HRS-AHEAD overlap respondents, and the original AHEAD ID for AHEADAHEAD overlap respondents. HAOAHDHH gives just the HHID portion of RAOAHDID. On this file, HHIDPN
(numeric), RAHHIDPN (character), and RAOAHDID (numeric) are all equal for HRS-AHEAD overlap cases.
For AHEAD-AHEAD overlap cases, HHIDPN and RAHHIDPN are the most recent AHEAD ID, different from the
original one found in RAOAHDID. RAOAHDID matches the OVHHID and OVPN found for the AHEAD-AHEAD overlap
cases on the Tracker file, and the HHID and PN found in the core data for interviews up to and including
RAOVRAYR. HHIDPN and RAHHIDPN match HHID and PN found in the core data for interviews after RAOVRAYR.
RAOHRSID is the HRS HHIDPN for the HRS-AHEAD overlap respondents. RAOHRSID is the HHIDPN that identifies
R in the HRS Wave 1 Public Use Data and by OVHHID and OVPN on the Tracker file.
For the HRS-AHEAD overlap cases the HwHHID and HwHHIDC variables reflect the AHEAD household identifier
in all waves. For the AHEAD-AHEAD overlap cases, HwHHID and HwHHIDC reflect the actual AHEAD subhousehold for the respondent in each wave. So, for example, if R was in household 200000.0 in 1995 and
married into household 290000.0 in 1998, H3HHID would be 200000.0 and H4HHID would be 290000.0.
Section A: Demographics, Identifiers, and Weights
72
RAOHRSHH is the HRS HHID for respondents in the overlap household, and H1HRSHH is the HRS Wave 1 HHID
plus sub-household for overlap respondents. For AHEAD-AHEAD overlap cases these HRS IDs are set to zero.
For non-overlap cases, all overlap IDs and RAOVRLAP are set to zero.
The spouse overlap flag and identifiers are taken from the Wave 'w' spouse's variables, i.e., from the
Wave 'w' spouse's RAOVRLAP, RAOAHDID, RAOHRSID, and RAOVRAYR.
Cross Wave Differences in Original HRS Data
Tracker identifies all the AHEAD-AHEAD overlap cases and HRS-AHEAD overlap cases.
HRS Variables Used
Tracker:
HHID
OVHHID
OVPN
PN
HOUSEHOLD IDENTIFIER
OVERLAP CASE: OLD HHID
OVERLAP CASE: OLD PN
PERSON NUMBER
Section A: Demographics, Identifiers, and Weights
73
Wave Status: Response Indicator
Wave
1
2
3
4
5
6
7
8
9
10
11
Variable
Label
INW1
INW2
INW3
INW4
INW5
INW6
INW7
INW8
INW9
INW10
INW11
Type
INW1: =1 if Respondent W1
INW2: =1 if Respondent W2
INW3: =1 if Respondent W3
INW4: =1 if Respondent W4
INW5: =1 if Respondent W5
INW6: =1 if Respondent W6
INW7: =1 if Respondent W7
INW8: =1 if Respondent W8
INW9: =1 if Respondent W9
INW10: =1 if Respondent W10
INW11: =1 if Respondent W11
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
INW1
INW2
INW3
INW4
INW5
INW6
INW7
INW8
INW9
INW10
INW11
N
Mean
37319
37319
37319
37319
37319
37319
37319
37319
37319
37319
37319
Std Dev
0.34
0.53
0.48
0.57
0.52
0.49
0.54
0.49
0.46
0.59
0.55
Minimum
0.47
0.50
0.50
0.49
0.50
0.50
0.50
0.50
0.50
0.49
0.50
Maximum
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Categorical Variable Codes
Value----------------------|INW1
0.NonResp
|24667
1.Resp,alive
|12652
INW2
17677
19642
INW3
19328
17991
INW4
15935
21384
INW5
17740
19579
INW6
19154
18165
INW7
17190
20129
INW8
18850
18469
INW9
20102
17217
INW10
15285
22034
INW11
16765
20554
How Constructed:
These indicate whether an individual responded to a particular wave.
In previous version of this file, INW2 further identifies the deceased proxies included in the data for
wave 2H (INW2=2). We exclude the deceased proxies (INW2=2) in this version of the file (Version F
forward). Interviews for the deceased are not included in any of the other waves.
The Tracker file identifies one additional respondent as deceased at Wave 2H, but flags in the HRS W2
data indicate that this case actually completed the interview and then died. In previous version of
RANDHRS, this case has INW2=1 with R2IWSTAT=2-Died after interview and in skip patterns within the
interview the case is treated as living. From Version F forward, we treat this case as deceased in W2,
that is, we use the Tracker file mortality status.
Section A: Demographics, Identifiers, and Weights
74
Wave Status: Interview Status
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1IWSTAT
R2IWSTAT
R3IWSTAT
R4IWSTAT
R5IWSTAT
R6IWSTAT
R7IWSTAT
R8IWSTAT
R9IWSTAT
R10IWSTAT
R11IWSTAT
R1IWSTAT:W1 R
R2IWSTAT:W2 R
R3IWSTAT:W3 R
R4IWSTAT:W4 R
R5IWSTAT:W5 R
R6IWSTAT:W6 R
R7IWSTAT:W7 R
R8IWSTAT:W8 R
R9IWSTAT:W9 R
R10IWSTAT:W10
R11IWSTAT:W11
Interview Status
Interview Status
Interview Status
Interview Status
Interview Status
Interview Status
Interview Status
Interview Status
Interview Status
R Interview Status
R Interview Status
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1IWSTAT
S2IWSTAT
S3IWSTAT
S4IWSTAT
S5IWSTAT
S6IWSTAT
S7IWSTAT
S8IWSTAT
S9IWSTAT
S10IWSTAT
S11IWSTAT
S1IWSTAT:W1 S
S2IWSTAT:W2 S
S3IWSTAT:W3 S
S4IWSTAT:W4 S
S5IWSTAT:W5 S
S6IWSTAT:W6 S
S7IWSTAT:W7 S
S8IWSTAT:W8 S
S9IWSTAT:W9 S
S10IWSTAT:W10
S11IWSTAT:W11
Interview Status
Interview Status
Interview Status
Interview Status
Interview Status
Interview Status
Interview Status
Interview Status
Interview Status
S Interview Status
S Interview Status
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1IWSTAT
R2IWSTAT
R3IWSTAT
R4IWSTAT
R5IWSTAT
R6IWSTAT
R7IWSTAT
R8IWSTAT
R9IWSTAT
R10IWSTAT
R11IWSTAT
37319
37319
37319
37319
37319
37319
37319
37319
37319
37319
37319
0.37
0.70
0.88
1.24
1.49
1.73
2.04
2.31
2.51
2.91
3.15
0.56
0.88
1.24
1.56
1.86
2.09
2.21
2.38
2.47
2.38
2.45
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
4.0
7.0
7.0
7.0
7.0
7.0
7.0
7.0
7.0
7.0
7.0
S1IWSTAT
S2IWSTAT
S3IWSTAT
S4IWSTAT
S5IWSTAT
S6IWSTAT
S7IWSTAT
S8IWSTAT
S9IWSTAT
S10IWSTAT
S11IWSTAT
10279
13608
12269
14453
13007
11822
13307
12001
10953
14151
12987
1.11
1.11
1.09
1.10
1.06
1.05
1.08
1.07
1.10
1.15
1.13
0.57
0.57
0.50
0.53
0.43
0.37
0.48
0.52
0.58
0.69
0.67
1.0
0.0
1.0
1.0
1.0
1.0
1.0
0.0
1.0
0.0
1.0
4.0
4.0
4.0
4.0
4.0
4.0
5.0
7.0
7.0
7.0
7.0
Categorical Variable Codes
Value----------------------|R1IWSTAT R2IWSTAT R3IWSTAT R4IWSTAT R5IWSTAT R6IWSTAT R7IWSTAT R8IWSTAT R9IWSTAT
0.Inap.
|24422
16128
15980
10859
10713
10553
7010
6852
6727
1.Resp, alive
|12652
19642
17991
21384
19579
18165
20129
18469
17217
R10IWSTAT R11IWSTAT
158
22034
20554
Section A: Demographics, Identifiers, and Weights
4.NR,
5.NR,
6.NR,
7.NR,
alive
died this wv
died prev wv
dropped from samp
|245
|
|
|
Value----------------------|S1IWSTAT
.U=Unmar
|2373
.V=Sp NR
|
0.Inap.
|
1.Resp, alive
|9900
4.NR, alive
|379
5.NR, died this wv
|
6.NR, died prev wv
|
7.NR, dropped from samp
|
1300
226
23
S2IWSTAT
5970
64
17
13088
503
2003
1088
225
32
75
2172
1346
1312
246
2486
1439
2657
445
2249
1572
4096
684
2327
1297
5641
915
2193
1384
6925
1496
2160
1279
8305
1631
S3IWSTAT S4IWSTAT S5IWSTAT S6IWSTAT S7IWSTAT S8IWSTAT S9IWSTAT
5658
6869
6538
6306
6777
6417
6206
64
62
34
37
45
51
58
1
11915
13978
12730
11639
12972
11735
10646
354
475
277
183
322
225
258
13
9
12
31
37
2189
1631
9584
1723
2194
1205
11215
2151
S10IWSTAT
7795
88
1
13517
567
22
S11IWSTAT
7473
94
44
12490
421
19
1
56
How Constructed:
This variable gives the response and mortality status of the respondent at each wave. Respondents are
identified by code 1, non-respondents by codes 0, 4-7 and 9.
Mortality status is taken from the Tracker file. Known alive and presumed alive are both treated as
indication that the respondent is living. Non-response code 4 means that the respondent is alive so far
as we know but did not respond. A code of 5 means that the respondent died between the last interview
and the current one, and 6 means that the respondent had died before a previous wave. A code of 9 means
that we don't know if the individual is alive or not; Tracker indicates this in the xALIVE variables for
each wave. However Tracker indicates some individuals are alive at a subsequent interview. We carry the
living status back in these cases.
The xALIVE variable on the Tracker file is sometimes zero or missing before an individual enters the
sample or when an individual has been dropped from the sample. In these cases, if the Tracker variable
xINSAMP indicates that R has not entered the sample because the cohort has not yet been interviewed or R
marries into the sample at a later wave (xINSAMP=2 or 3), RwIWSTAT is set to 0. If R has been dropped
from the sample because s/he was eligible to be an HRS-AHEAD overlap case but never responded to AHEAD
(xINSAMP=4), alive but asked to be dropped from the study before the wave (xINSAMP=6), or for other
reasons (xINSAMP=8), then RwIWSTAT is set to 7.
SwIWSTAT gives the response and mortality status of the current wave's spouse at each wave, if available.
It is taken from the spouse's RxIWSTAT if the spouse appears on the Tracker file. Note when a spouse dies
the spouse interview status for the surviving spouse will have a code of .U=respondent unmarried if the
widow does not remarry. A .V missing code indicates that there is no information in the Tracker file on
why the spouse did not respond.
Note also that SxIWSTAT is set to plain missing (.) if an individual did not respond at a particular
interview, including if he/she died. Surviving spouses are interviewed, but we do not at this time
indicate whether the surviving spouse is a respondent or not in the deceased's spouse's interview status.
In previous versions of RANDHRS, Wave 2H included proxy interviews for deceased respondents and were
given R2IWSTAT=3.Proxy respondent; R is deceased at the time of the interview. From Version F forward,
we exclude these deceased respondents. There are no deceased respondents in any other wave.
The Tracker file identified one additional respondent as deceased at Wave 2H, but flags in the HRS W2
data indicate that this case actually completed the interview and then died. In previous versions of
RANDHRS, this case had INW2=1 with R2IWSTAT=2-Died after interview and in skip patterns within the
interview the case was treated as living. From Version F forward, we treat this case as deceased in W2,
that is, we use the Tracker file mortality status.
Cross Wave Differences in Original HRS Data
In Wave 2H, exit interviews (proxy interviews on the deceased) were included in the previous version of
this file along with the core interviews. This is the only wave where deceased respondents are included.
Beginning with version F, we excluded the deceased proxies.
With Tracker 2008, the xALIVE flag is sometimes zero or missing when an individual has been dropped from
the sample. The xINSAMP code indicates why someone is dropped from the sample. In these cases, xINSAMP
indicates why R has been dropped from the sample. Reasons are s/he was eligible to be an HRS-AHEAD
Section A: Demographics, Identifiers, and Weights
76
overlap case but never responded to AHEAD (xINSAMP=4), alive but asked to be dropped from the study
before the wave (xINSAMP=6), or for other reasons (xINSAMP=8).
HRS Variables Used
Tracker:
AALIVE
BALIVE
CALIVE
DALIVE
EALIVE
FALIVE
GALIVE
HALIVE
JALIVE
KALIVE
LALIVE
MALIVE
NALIVE
1992
1993
1994
1995
1996
1998
2000
2002
2004
2006
2008
2010
2012
VITAL
VITAL
VITAL
VITAL
VITAL
VITAL
VITAL
VITAL
VITAL
VITAL
VITAL
VITAL
VITAL
STATUS
STATUS
STATUS
STATUS
STATUS
STATUS
STATUS
STATUS
STATUS
STATUS
STATUS
STATUS
STATUS
Section A: Demographics, Identifiers, and Weights
77
Sample Cohort
Wave
Variable
Label
Type
1
HACOHORT
HACOHORT: Sample cohort
Categ
1
RACOHBYR
RACOHBYR: Cohort based on birth yr
Categ
1
2
3
4
5
6
7
8
9
10
11
S1COHBYR
S2COHBYR
S3COHBYR
S4COHBYR
S5COHBYR
S6COHBYR
S7COHBYR
S8COHBYR
S9COHBYR
S10COHBYR
S11COHBYR
S1COHBYR: Cohort based on birth yr
S2COHBYR: Cohort based on birth yr
S3COHBYR: Cohort based on birth yr
S4COHBYR: Cohort based on birth yr
S5COHBYR: Cohort based on birth yr
S6COHBYR: Cohort based on birth yr
S7COHBYR: Cohort based on birth yr
S8COHBYR: Cohort based on birth yr
S9COHBYR: Cohort based on birth yr
S10COHBYR: Cohort based on birth yr
S11COHBYR: Cohort based on birth yr
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
HACOHORT
37319
3.23
1.67
0.0
6.0
RACOHBYR
37317
3.12
1.76
0.0
6.0
S1COHBYR
S2COHBYR
S3COHBYR
S4COHBYR
S5COHBYR
S6COHBYR
S7COHBYR
S8COHBYR
S9COHBYR
S10COHBYR
S11COHBYR
10279
13583
12247
14441
13002
11814
13305
11999
10948
14147
12946
3.05
2.45
2.52
2.77
2.84
2.92
3.34
3.40
3.46
3.83
3.89
0.72
1.08
1.07
1.15
1.13
1.11
1.35
1.33
1.32
1.77
1.77
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
6.0
6.0
6.0
6.0
6.0
6.0
6.0
6.0
6.0
6.0
6.0
Categorical Variable Codes
Value----------------------|HACOHORT
0.Hrs/Ahead ovrlap
|110
1.Ahead
|8335
2.Coda
|2426
3.Hrs
|13574
4.WarBabies
|2780
5.Early BabyBoomers
|4934
6.Mid BabyBoomers
|5160
Value----------------------|RACOHBYR
.M=Oth missing
|2
0.Not in any cohort
|1381
1.Ahead
|7758
2.Coda
|4226
3.Hrs
|10490
4.WarBabies
|3653
5.Early BabyBoomers
|4774
6.Mid BabyBoomers
|5035
Value----------------------|S1COHBYR S2COHBYR S3COHBYR S4COHBYR S5COHBYR S6COHBYR S7COHBYR S8COHBYR S9COHBYR
.M=Oth missing
|
.U=Unmar
|2373
5970
5658
6869
6538
6306
6777
6417
6206
.V=Sp NR
|
89
86
74
39
45
47
53
63
S10COHBYR S11COHBYR
1
7795
7473
92
134
Section A: Demographics, Identifiers, and Weights
0.Not in any cohort
1.Ahead
2.Coda
3.Hrs
4.WarBabies
5.Early BabyBoomers
6.Mid BabyBoomers
|27
|219
|1017
|7448
|1177
|299
|92
29
3834
1600
6661
1108
275
76
30
3094
1433
6293
1058
254
85
78
76
2389
2702
5978
2444
661
191
82
1812
2395
5569
2344
618
182
79
1314
2099
5262
2261
600
199
244
976
1867
4968
2175
2390
685
226
692
1597
4558
2069
2235
622
229
483
1327
4209
1949
2135
616
1192
267
1055
3801
1997
2632
3203
1114
158
839
3409
1887
2513
3026
How Constructed:
HACOHORT identifies the cohort in which the household was originally sampled.
cohort a respondent fits into based on birth year.
There are six birth year cohorts in the HRS: 1)
(CODA), born 1924-1930; 3) HRS, born 1931-1941;
Boomers (EBB), born 1948-1953, and (6) Mid Baby
interviewed separately in 1992, 1994, and 1996.
1995. The two studies were merged and the CODA
2004. The MBB cohort was added in 2010.
RACOHBYR identifies the
AHEAD, born before 1924; 2) the Children of Depression
4) War Babies (WB), born 1942-1947, (5) Early Baby
Boomer (MBB), born 1954-1959. The HRS sample was
The AHEAD sample was interviewed separately in 1993 and
and WB cohorts added in 1998. The EBB cohort was added in
HACOHORT does not necessarily reflect a birth year range, but indicates when and how the household
entered the study. The RACOHBYR variable indicates which cohort a person falls into based on birth year.
In this version of the RAND HRS Data all entry cohorts,that is - HRS, AHEAD, CODA, WB, EBB and MBB - are
included.
HACOHORT is assigned based on both response patterns and variables in the raw data that identify the
cohort. HRS/AHEAD Overlap cases are identified as a separate category of their own. Please see the
RAOVRLAP variable description for more information on these cases.
RACOHBYR is assigned based on RABYEAR. Those with birth years before 1924 are set to the Ahead cohort,
1924-1930 are set to the CODA cohort, 1931-1941 are set to the HRS cohort, 1942-1947 are set to the WB
cohort, 1948-1953 are set to the EBB cohort, and 1954-1959 are set to the MBB cohort. If birth year is
missing, then RACOHBYR is missing. If birth year is after 1959 then RABCOHBYR is set to zero.
SwCOHBYR is taken from the Wave 'w' spouse's value for RACOHBYR, i.e., based on the spouse's birth year.
See also RAHRSAMP which identifies age-eligible members of the HRS cohort (HACOHORT=3 and RACHOBYR=3) who
responded to HRS 1992, and RAAHDSMP which identifies age-eligible members of the AHEAD cohort (HACOHORT=1
and RACOHBYR=1) who responded to Ahead 1993.
NOTE: At least one respondent in a household should have a birth year appropriate for the cohort (though
this is not always the case), but spouses may not. From the HRS documentation on the weights, it appears
that weights were assigned based on birth year, regardless of how a person entered the sample, beginning
in 1998.
HRS Variables Used
HRS 1998:
F461
HRS 2000:
G482
HRS 2002:
HZ023
HRS 2004:
JZ023
HRS 2006:
KZ023
HRS 2008:
LZ023
HRS 2010:
MZ023
HRS 2012:
NZ023
Tracker:
PRELOAD COHORT
CS0Y9.PRELOAD ENTRY COHORT
WHICH COHORT
WHICH COHORT
WHICH COHORT
PREV WAVE WHICH COHORT
PREV WAVE WHICH COHORT -1
PREV WAVE WHICH COHORT -1
Section A: Demographics, Identifiers, and Weights
HHIDPN
OVHHID
HHIDPN: identifies indiv on tracker/numeric
OVERLAP CASE: OLD HHID
79
Section A: Demographics, Identifiers, and Weights
80
Whether Eligible for the HRS Sample
Wave
Variable
Label
Type
1
RAHRSAMP
RAHRSAMP: HRS Sample-Age Elig/Hrs92 Resp
Categ
1
2
3
4
5
6
7
8
9
10
11
S1HRSAMP
S2HRSAMP
S3HRSAMP
S4HRSAMP
S5HRSAMP
S6HRSAMP
S7HRSAMP
S8HRSAMP
S9HRSAMP
S10HRSAMP
S11HRSAMP
S1HRSAMP: HRS Sample-Age Elig/Hrs92 Resp
S2HRSAMP: HRS Sample-Age Elig/Hrs92 Resp
S3HRSAMP: HRS Sample-Age Elig/Hrs92 Resp
S4HRSAMP: HRS Sample-Age Elig/Hrs92 Resp
S5HRSAMP: HRS Sample-Age Elig/Hrs92 Resp
S6HRSAMP: HRS Sample-Age Elig/Hrs92 Resp
S7HRSAMP: HRS Sample-Age Elig/Hrs92 Resp
S8HRSAMP: HRS Sample-Age Elig/Hrs92 Resp
S9HRSAMP: HRS Sample-Age Elig/Hrs92 Resp
S10HRSAMP: HRS Sample-Age Elig/Hrs92 Resp
S11HRSAMP: HRS Sample-Age Elig/Hrs92 Resp
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
RAAHDSMP
RAAHDSMP: AHEAD Sample-Age Elig/Ahd93 Resp
Categ
1
2
3
4
5
6
7
8
9
10
11
S1AHDSMP
S2AHDSMP
S3AHDSMP
S4AHDSMP
S5AHDSMP
S6AHDSMP
S7AHDSMP
S8AHDSMP
S9AHDSMP
S10AHDSMP
S11AHDSMP
S1AHDSMP: AHEAD Sample-Age Elig/Ahd93 Resp
S2AHDSMP: AHEAD Sample-Age Elig/Ahd93 Resp
S3AHDSMP: AHEAD Sample-Age Elig/Ahd93 Resp
S4AHDSMP: AHEAD Sample-Age Elig/Ahd93 Resp
S5AHDSMP: AHEAD Sample-Age Elig/Ahd93 Resp
S6AHDSMP: AHEAD Sample-Age Elig/Ahd93 Resp
S7AHDSMP: AHEAD Sample-Age Elig/Ahd93 Resp
S8AHDSMP: AHEAD Sample-Age Elig/Ahd93 Resp
S9AHDSMP: AHEAD Sample-Age Elig/Ahd93 Resp
S10AHDSMP: AHEAD Sample-Age Elig/Ahd93 Resp
S11AHDSMP: AHEAD Sample-Age Elig/Ahd93 Resp
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
RAHRSAMP
37319
0.26
0.44
0.0
1.0
S1HRSAMP
S2HRSAMP
S3HRSAMP
S4HRSAMP
S5HRSAMP
S6HRSAMP
S7HRSAMP
S8HRSAMP
S9HRSAMP
S10HRSAMP
S11HRSAMP
10279
13608
12269
14453
13007
11822
13307
12001
10953
14151
12987
0.69
0.47
0.49
0.39
0.40
0.42
0.35
0.35
0.35
0.24
0.24
0.46
0.50
0.50
0.49
0.49
0.49
0.48
0.48
0.48
0.43
0.43
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
RAAHDSMP
37319
0.20
0.40
0.0
1.0
S1AHDSMP
S2AHDSMP
S3AHDSMP
S4AHDSMP
S5AHDSMP
S6AHDSMP
S7AHDSMP
S8AHDSMP
S9AHDSMP
10279
13608
12269
14453
13007
11822
13307
12001
10953
0.01
0.26
0.24
0.15
0.13
0.10
0.06
0.05
0.04
0.07
0.44
0.43
0.36
0.33
0.30
0.25
0.22
0.19
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Section A: Demographics, Identifiers, and Weights
S10AHDSMP
S11AHDSMP
14151
12987
0.02
0.01
81
0.12
0.10
0.0
0.0
1.0
1.0
Categorical Variable Codes
Value----------------------|RAHRSAMP
0.Not in Sample
|27557
1.In Samp,Hrs92 Resp b.1931|9762
Value----------------------|S1HRSAMP
.U=Unmar
|2373
.V=Sp NR
|
0.Not in Sample
|3167
1.In Samp,Hrs92 Resp b.1931|7112
S2HRSAMP
5970
64
7229
6379
S3HRSAMP
5658
64
6257
6012
S4HRSAMP
6869
62
8822
5631
S5HRSAMP
6538
34
7760
5247
S6HRSAMP
6306
37
6902
4920
S7HRSAMP
6777
45
8680
4627
S8HRSAMP
6417
51
7782
4219
S9HRSAMP
6206
58
7075
3878
S10HRSAMP
7795
88
10714
3437
S11HRSAMP
7473
94
9907
3080
S2AHDSMP
5970
64
10026
3582
S3AHDSMP
5658
64
9357
2912
S4AHDSMP
6869
62
12239
2214
S5AHDSMP
6538
34
11353
1654
S6AHDSMP
6306
37
10627
1195
S7AHDSMP
6777
45
12443
864
S8AHDSMP
6417
51
11402
599
S9AHDSMP
6206
58
10544
409
S10AHDSMP
7795
88
13932
219
S11AHDSMP
7473
94
12858
129
Value----------------------|RAAHDSMP
0.Not in Sample
|29877
1.In Sample,Ahd93 Resp b.be|7442
Value----------------------|S1AHDSMP
.U=Unmar
|2373
.V=Sp NR
|
0.Not in Sample
|10226
1.In Sample,Ahd93 Resp b.be|53
How Constructed:
These files contain observations for any individual who responded to any of the HRS or AHEAD waves,
regardless of birth year.
RAHRSAMP identifies HRS-eligible individuals defined as those who are age-eligible and responded to Wave
1. HRS age-eligible individuals are those born from 1931 to 1941, according to RABDATE. A 1 indicates
that the individual is HRS-eligible and a 0 indicates that he/she is not. The spouses of individuals in
this sample may or may not be in the sample as well.
RAAHDSMP identifies AHEAD-eligible individuals defined as those who are age-eligible and responded to
Wave 2A. AHEAD age-eligible individuals are those born prior to 1924, according to RABDATE. A 1
indicates that the individual is AHEAD-eligible and a 0 indicates that he/she is not. The spouses of
individuals in this sample may or may not be in the sample as well.
The SwHRSAMP and SwAHDSAMP variables indicate whether the Wave 'w' spouse or partner is also in these
files as a respondent, i.e., whether the spouse is HRS or AHEAD age-eligible and responded to Wave 1 or
Wave 2A, respectively. A 1 indicates that the spouse is in the sample and a 0 indicates that he/she is
not.
See also HACOHORT, which identifies how the household entered the study, regardless of respondent age,
and RACOHBYR, which identifies which cohort a respondent fits into based on birth year.
[NOTE: RAHRSAMP is a renamed version of the original (Version A) RASAMPLE variable, to accommodate the
addition of the CODA and WB cohorts.]
Section A: Demographics, Identifiers, and Weights
82
Sampling Weight
Wave
Variable
Label
Type
1
RAWTSAMP
RAWTSAMP: Sampling Weight
Cont
1
RAESTRAT
RAESTRAT: Std Error Stratum
Cont
1
RAEHSAMP
RAEHSAMP: Stratum Half-Sample Code
Cont
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
RAWTSAMP
12652
0.76
0.26
0.3
1.0
RAESTRAT
37319
29.97
15.37
1.0
56.0
RAEHSAMP
37319
1.49
0.50
1.0
2.0
How Constructed:
The sampling weight (RAWTSAMP) is taken directly from HRS 1992 variable V11, and is available only for
HRS cohort respondents in 1992. RAESTRAT and RAEHSAMP are taken directly from the Tracker variables
STRATUM and SECU, respectively. These variables identify the stratum and half-sample respectively, that
can be used in calculating sampling error. They are described in the Tracker file documentation and on
the HRS web pages (Intro/Guide -> Study Design -> Survey Design Through 1998, under “Sample Error
Computation”).
HRS Variables Used
HRS 1992:
V11
Tracker:
SECU
STRATUM
WGT:SAMPLING WEIGHT
SAMPLING ERROR COMPUTATION UNIT
STRATUM ID
Section A: Demographics, Identifiers, and Weights
83
Household Analysis Weight
Wave
1
2
3
4
5
6
7
8
9
10
11
Variable
Label
R1WTHH
R2WTHH
R3WTHH
R4WTHH
R5WTHH
R6WTHH
R7WTHH
R8WTHH
R9WTHH
R10WTHH
R11WTHH
Type
R1WTHH:W1 Household Analysis Weight
R2WTHH:W2 Household Analysis Weight
R3WTHH:W3 Household Analysis Weight
R4WTHH:W4 Household Analysis Weight
R5WTHH:W5 Household Analysis Weight
R6WTHH:W6 Household Analysis Weight
R7WTHH:W7 Household Analysis Weight
R8WTHH:W8 Household Analysis Weight
R9WTHH:W9 Household Analysis Weight
R10WTHH:W10 Household Analysis Weight
R11WTHH:W11 Household Analysis Weight
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Descriptive Statistics
Variable
R1WTHH
R2WTHH
R3WTHH
R4WTHH
R5WTHH
R6WTHH
R7WTHH
R8WTHH
R9WTHH
R10WTHH
R11WTHH
N
12652
19642
17991
21384
19579
18165
20129
18469
17217
22034
20554
Mean
2408.41
2710.33
2792.74
3238.12
3386.56
3562.30
3918.32
4093.87
4158.92
4214.94
4338.47
Std Dev
1052.21
1200.69
1315.28
1911.60
2125.09
2222.33
2580.83
2801.06
2870.62
3447.74
3495.03
Minimum
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
Maximum
7380.0
10003.0
11557.0
13512.0
25973.0
13193.0
13146.0
14375.0
13209.0
17462.0
16528.0
How Constructed:
The household weights are taken directly from the Tracker file.
In 2010 HRS updated the household weight variables, due to a change in the CPS weights and partly due to
a calculation error.
A HRS analysis shows that these revisions do not substantially alter the weights and do not significantly
affect weighted distributions of key variables. Analyses done with the earlier versions of sampling
weights should not in general require revision. Some possible exceptions include analyses that present
population estimates (counts or percentages) for the 1995 AHEAD cohort or for the EBB non-minority
(White/other) sample. Analyses that compare the EBB non-minority cohort to other subgroups may also be
affected by the new weights. The full report can be found on the HRS website in the data description for
the 2010 tracker file.
Cross Wave Differences in Original HRS Data
The household weights on the Tracker file are based on WGTBYR which may differ from the respondent's
BIRTHYR used as the basis for birth year derived on these files. If the WGTBYR for someone in the HRS
cohort sample (see HACOHORT) is outside of 1931-1941 or missing for all respondents in a household then
the household may have a zero weight in W1, but still be HRS eligible (someone born 1931-1941) according
to the household member's BIRTHYR. The same is also true for the AHEAD sample, the only difference being
that these individuals were born prior to 1924. WGTBYR was provided as a variable on Tracker V2.0 but is
not included in the current file. Other variables are available on the current Tracker which may help
analysts determine why weights are not as expected. They are xWHY0WGT (where "x" is A through K depending
on the interview year), xWHY0RWT (beginning in 2004), and WTCOHORT, which gives the birth cohort used for
calculating weights.
Section A: Demographics, Identifiers, and Weights
84
The weights are structured to match the CPS which includes living, non-institutionalized respondents. A
household where the only or both respondents are institutionalized, e.g., living in a nursing home, at
the time of the interview will have zero household weights for that wave.
HRS respondents who were given to the AHEAD study (overlap households) are assigned a weight of zero for
HRS Wave 1.
Thus there are cases where respondents in a given wave have zero household weight for the wave on these
files.
Note also that in HRS 1998 the AHEAD and HRS cohorts are combined and the CODA and WB cohorts are added.
The weights derived for waves from 1998 forward used respondents from ALL cohorts (age-eligible for the
entry cohort or not) to match the CPS-reported population sums. This means that some of the weight for
the HRS birth year entry cohort is assigned to respondents in other cohorts who happen to have been born
1931-1941, and some of weight assigned to HRS birth year entry cohort respondents outside the 1931-1941
range accounts for some of the weight for other birth year entry cohorts.
HRS Variables Used
Tracker:
AWGTHH
BWGTHH
CWGTHH
DWGTHH
EWGTHH
FWGTHH
GWGTHH
HWGTHH
JWGTHH
KWGTHH
LWGTHH
MWGTHH
NWGTHH
1992
1993
1994
1995
1996
1998
2000
2002
2004
2006
2008
2010
2012
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
HOUSEHOLD-LEVEL
HOUSEHOLD-LEVEL
HOUSEHOLD-LEVEL
HOUSEHOLD-LEVEL
HOUSEHOLD-LEVEL
HOUSEHOLD-LEVEL
HOUSEHOLD-LEVEL
HOUSEHOLD LEVEL
HOUSEHOLD LEVEL
HOUSEHOLD LEVEL
HOUSEHOLD LEVEL
HOUSEHOLD LEVEL
HOUSEHOLD LEVEL
Section A: Demographics, Identifiers, and Weights
85
Person-Level Analysis Weight
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1WTRESP
R2WTRESP
R3WTRESP
R4WTRESP
R5WTRESP
R6WTRESP
R7WTRESP
R8WTRESP
R9WTRESP
R10WTRESP
R11WTRESP
R1WTRESP:W1 Person-Level Analysis Weight
R2WTRESP:W2 Person-Level Analysis Weight
R3WTRESP:W3 Person-Level Analysis Weight
R4WTRESP:W4 Person-Level Analysis Weight
R5WTRESP:W5 Person-Level Analysis Weight
R6WTRESP:W6 Person-Level Analysis Weight
R7WTRESP:W7 Person-Level Analysis Weight
R8WTRESP:W8 Person-Level Analysis Weight
R9WTRESP:W9 Person-Level Analysis Weight
R10WTRESP:W10 Person-Level Analysis Weight
R11WTRESP:W11 Person-Level Analysis Weight
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1WTRESP
S2WTRESP
S3WTRESP
S4WTRESP
S5WTRESP
S6WTRESP
S7WTRESP
S8WTRESP
S9WTRESP
S10WTRESP
S11WTRESP
S1WTRESP:W1 Person-Level Analysis Weight
S2WTRESP:W2 Person-Level Analysis Weight
S3WTRESP:W3 Person-Level Analysis Weight
S4WTRESP:W4 Person-Level Analysis Weight
S5WTRESP:W5 Person-Level Analysis Weight
S6WTRESP:W6 Person-Level Analysis Weight
S7WTRESP:W7 Person-Level Analysis Weight
S8WTRESP:W8 Person-Level Analysis Weight
S9WTRESP:W9 Person-Level Analysis Weight
S10WTRESP:W10 Person-Level Analysis Weight
S11WTRESP:W11 Person-Level Analysis Weight
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
5
6
R5WTR_NH
R6WTR_NH
R5WTR_NH: NursHm Resident Analysis Weight
R6WTR_NH: NursHm Resident Analysis Weight
Cont
Cont
5
6
S5WTR_NH
S6WTR_NH
S5WTR_NH: NursHm Resident Analysis Weight
S6WTR_NH: NursHm Resident Analysis Weight
Cont
Cont
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1WTRESP
R2WTRESP
R3WTRESP
R4WTRESP
R5WTRESP
R6WTRESP
R7WTRESP
R8WTRESP
R9WTRESP
R10WTRESP
R11WTRESP
12652
19642
17991
21384
19579
18165
20129
18469
17217
22034
20554
1939.03
2346.18
2367.79
3189.06
3288.55
3415.77
3985.39
4154.28
4220.44
4304.15
4412.72
1378.59
1503.49
1604.28
1972.98
2149.96
2241.68
2834.74
3019.87
3113.39
3734.36
3743.27
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
7710.0
10956.0
13795.0
16153.0
27408.0
19101.0
16170.0
17035.0
16558.0
19408.0
18269.0
S1WTRESP
S2WTRESP
S3WTRESP
S4WTRESP
S5WTRESP
S6WTRESP
S7WTRESP
S8WTRESP
S9WTRESP
S10WTRESP
S11WTRESP
9900
13088
11915
13978
12730
11639
12972
11735
10646
13517
12490
1830.30
2186.32
2187.79
3069.16
3202.42
3367.77
4033.28
4243.69
4333.94
4383.43
4508.71
1419.98
1589.97
1636.49
1883.98
2023.21
2220.86
2869.39
3075.27
3211.33
3745.16
3755.17
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
7710.0
10956.0
13795.0
16153.0
12159.0
19101.0
16170.0
17035.0
16558.0
19408.0
18236.0
Section A: Demographics, Identifiers, and Weights
86
R5WTR_NH
R6WTR_NH
19579
18165
84.61
89.55
612.63
624.88
0.0
0.0
9498.0
11127.0
S5WTR_NH
S6WTR_NH
12730
11639
27.71
27.31
369.95
377.44
0.0
0.0
9498.0
11127.0
How Constructed:
The person-level weights are taken directly from the Tracker file and assigned to RwWTRESP. The personlevel weights apply to those resident in the community, so are zero for those living in a nursing home.
In Waves 5 and 6, HRS provides weights for individuals living in a nursing home. These weights are
provided in R5WTR_NH and R6WTR_NH. For those not living in a nursing home, these weights are zero.
The spouse's person-level weight is taken from the Wave 'w' spouse's variable, i.e., from the Wave 'w'
spouse's RwWTRESP or RwWTR_NH.
In 2010 HRS updated the weight variables, due to a change in the CPS weights and partly due to a
calculation error.
A HRS analysis shows that these revisions do not substantially alter the weights and do not significantly
affect weighted distributions of key variables. Analyses done with the earlier versions of sampling
weights should not in general require revision. Some possible exceptions include analyses that present
population estimates (counts or percentages) for the 1995 AHEAD cohort or for the EBB non-minority
(White/other) sample. Analyses that compare the EBB non-minority cohort to other subgroups may also be
affected by the new weights. The full report can be found on the HRS website in the data description for
the 2010 tracker file.
Cross Wave Differences in Original HRS Data
The standard HRS weights are structured to match the CPS which includes living, non-institutionalized
respondents. HRS sets these person-level weights to zero for those not age-eligible, living outside the
U.S., or living in a nursing home. In 2000 and 2002, HRS provides separate person-level weights for
nursing home residents.
The person-level weights on the Tracker file are based on WGTBYR which differ from the respondent's
BIRTHYR used as the basis for birth year derived on these files. If the WGTBYR for someone in the HRS
cohort sample (see HACOHORT) is outside of 1931-1941 or missing then a respondent may have a zero weight
in W1, but still be HRS eligible (someone born 1931-1941) according to BIRTHYR. The same is also true
for the AHEAD sample, the only difference being that these individuals were born prior to 1924. WGTBYR
was provided as a variable on Tracker V2.0 but has not been included on more recent versions of Tracker.
Other variables available on more recent versions Tracker may help analysts determine why weights are not
as expected. They are xWHY0WGT (where "x" is A through K depending on the interview year), xWHY0RWT
(beginning in 2004), and WTCOHORT, which gives the birth cohort used for calculating weights.
A respondent who is institutionalized, e.g., in a nursing home, at the time of the interview will have
zero person-level weight for that wave.
HRS respondents who were given to the AHEAD study (overlap households) are assigned a weight of zero for
HRS Wave 1.
Thus there are cases where respondents in a given wave have a zero person-level weight for the wave on
these files.
Note also that in HRS 1998 the AHEAD and HRS cohorts are combined and the CODA and WB cohorts are added.
The weights derived for waves from 1998 forward used respondents from ALL cohorts (age-eligible for the
entry cohort or not) to match the CPS-reported population sums. This means that some of the weight for
the HRS birth year entry cohort is assigned to respondents in other cohorts who happen to have been born
1931-1941, and some of weight assigned to HRS birth year entry cohort respondents outside the 1931-1941
range accounts for some of the weight for other birth year entry cohorts.
Section A: Demographics, Identifiers, and Weights
HRS Variables Used
Tracker:
AWGTR
BWGTR
CWGTR
DWGTR
EWGTR
FWGTR
GWGTR
GWGTRNH
HWGTR
HWGTRNH
JWGTR
KWGTR
LWGTR
MWGTR
NWGTR
1992
1993
1994
1995
1996
1998
2000
2000
2002
2002
2004
2006
2008
2010
2012
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
WEIGHT:
RESPONDENT-LEVEL
RESPONDENT-LEVEL
RESPONDENT-LEVEL
RESPONDENT-LEVEL
RESPONDENT-LEVEL
RESPONDENT-LEVEL
RESPONDENT-LEVEL
NURSING HOME RESIDENT
RESPONDENT-LEVEL
NURSING HOME RESIDENT
RESPONDENT LEVEL
RESPONDENT LEVEL
RESPONDENT LEVEL
RESPONDENT LEVEL
RESPONDENT LEVEL
87
Section A: Demographics, Identifiers, and Weights
88
Number of Household Respondents
Wave
1
2
3
4
5
6
7
8
9
10
11
Variable
Label
H1HHRESP
H2HHRESP
H3HHRESP
H4HHRESP
H5HHRESP
H6HHRESP
H7HHRESP
H8HHRESP
H9HHRESP
H10HHRESP
H11HHRESP
Type
H1HHRESP:W1 #
H2HHRESP:W2 #
H3HHRESP:W3 #
H4HHRESP:W4 #
H5HHRESP:W5 #
H6HHRESP:W6 #
H7HHRESP:W7 #
H8HHRESP:W8 #
H9HHRESP:W9 #
H10HHRESP:W10
H11HHRESP:W11
core respondents in HH
core respondents in HH
core respondents in HH
core respondents in HH
core respondents in HH
core respondents in HH
core respondents in HH
core respondents in HH
core respondents in HH
# core respondents in HH
# core respondents in HH
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Descriptive Statistics
Variable
H1HHRESP
H2HHRESP
H3HHRESP
H4HHRESP
H5HHRESP
H6HHRESP
H7HHRESP
H8HHRESP
H9HHRESP
H10HHRESP
H11HHRESP
N
Mean
12652
19642
17991
21384
19579
18165
20129
18469
17217
22034
20554
1.78
1.67
1.66
1.65
1.65
1.64
1.64
1.64
1.62
1.61
1.61
Std Dev
0.41
0.47
0.47
0.48
0.48
0.48
0.48
0.48
0.49
0.49
0.49
Minimum
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Maximum
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
How Constructed:
HwHHRESP is the number of individuals in the household who actually responded at each wave. It counts
the respondent and spouse, if any and if the spouse responded, taking on a value of 1 or 2. Individuals
with a value greater than zero for INWw are counted by wave-specific household, i.e., by sub-household ID
which is included in HwHHID.
The value is missing if an individual did not respond in Wave w. Thus HwHHRESP is simply an indicator of
whether the individual is the only respondent in the household or not.
HRS Variables Used
HRS 2004:
JSUBHH
HRS 2006:
KSUBHH
HRS 2008:
LSUBHH
HRS 2010:
MSUBHH
HRS 2012:
NSUBHH
Tracker:
ASUBHH
BSUBHH
CSUBHH
DSUBHH
ESUBHH
2004 SUB-HOUSEHOLD INDENTIFIER
2006 SUB-HOUSEHOLD IDENTIFIER
2008 SUB-HOUSEHOLD IDENTFIER
2010 SUB-HOUSEHOLD IDENTIFIER
2012 SUB-HOUSEHOLD IDENTIFIER
1992
1993
1994
1995
1996
SUB-HOUSEHOLD
SUB-HOUSEHOLD
SUB-HOUSEHOLD
SUB-HOUSEHOLD
SUB-HOUSEHOLD
IDENTIFIER
IDENTIFIER
IDENTIFIER
IDENTIFIER
IDENTIFIER
Section A: Demographics, Identifiers, and Weights
FSUBHH
GSUBHH
HHID
HSUBHH
JSUBHH
KSUBHH
LSUBHH
MSUBHH
NSUBHH
1998 SUB-HOUSEHOLD IDENTIFIER
2000 SUB-HOUSEHOLD IDENTIFIER
HOUSEHOLD IDENTIFIER
2002 SUB-HOUSEHOLD INDENTIFIER
2004 SUB-HOUSEHOLD INDENTIFIER
2006 SUB-HOUSEHOLD IDENTIFIER
2008 SUB-HOUSEHOLD IDENTFIER
2010 SUB-HOUSEHOLD IDENTIFIER
2012 SUB-HOUSEHOLD IDENTIFIER
89
Section A: Demographics, Identifiers, and Weights
90
Whether Couple Household
Wave
1
2
3
4
5
6
7
8
9
10
11
Variable
Label
H1CPL
H2CPL
H3CPL
H4CPL
H5CPL
H6CPL
H7CPL
H8CPL
H9CPL
H10CPL
H11CPL
Type
H1CPL:W1 Whether couple HHold
H2CPL:W2 Whether couple HHold
H3CPL:W3 Whether couple HHold
H4CPL:W4 Whether couple HHold
H5CPL:W5 Whether couple HHold
H6CPL:W6 Whether couple HHold
H7CPL:W7 Whether couple HHold
H8CPL:W8 Whether couple HHold
H9CPL:W9 Whether couple HHold
H10CPL:W10 Whether couple HHold
H11CPL:W11 Whether couple HHold
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
H1CPL
H2CPL
H3CPL
H4CPL
H5CPL
H6CPL
H7CPL
H8CPL
H9CPL
H10CPL
H11CPL
N
Mean
12652
19642
17991
21384
19579
18165
20129
18469
17217
22034
20554
Std Dev
0.81
0.70
0.69
0.68
0.67
0.65
0.66
0.65
0.64
0.65
0.64
Minimum
0.39
0.46
0.46
0.47
0.47
0.48
0.47
0.48
0.48
0.48
0.48
Maximum
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Categorical Variable Codes
Value----------------------|H1CPL
0.not a couple HH
|2373
1.couple HH
|10279
H2CPL
5970
13672
H3CPL
5658
12333
H4CPL
6869
14515
H5CPL
6538
13041
H6CPL
6306
11859
H7CPL
6777
13352
H8CPL
6417
12052
H9CPL
6205
11012
H10CPL
7795
14239
H11CPL
7473
13081
How Constructed:
HwCPL indicates whether this household is treated as a couple household or not. Households in HRS can
consist of a single respondent or a couple. HwCPL is set to one if the respondent is married (RwMSTAT or
RwMSTATH is married or partnered), partnered (RwMPART=1), or if there are two respondents in the wavespecific household (HwHHRESP=2). Otherwise a single respondent is assumed, and HwCPL is set to zero. As
with most other RAND HRS variables, HwCPL is missing in waves where R does not respond.
Section A: Demographics, Identifiers, and Weights
91
Financial , Family Respondent
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1FAMR
R2FAMR
R3FAMR
R4FAMR
R5FAMR
R6FAMR
R7FAMR
R8FAMR
R9FAMR
R10FAMR
R11FAMR
R1FAMR:W1 Whether Family Resp
R2FAMR:W2 Whether Family Resp
R3FAMR:W3 Whether Family Resp
R4FAMR:W4 Whether Family Resp
R5FAMR:W5 Whether Family Resp
R6FAMR:W6 Whether Family Resp
R7FAMR:W7 Whether Family Resp
R8FAMR:W8 Whether Family Resp
R9FAMR:W9 Whether Family Resp
R10FAMR:W10 Whether Family Resp
R11FAMR:W11 Whether Family Resp
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1FAMR
S2FAMR
S3FAMR
S4FAMR
S5FAMR
S6FAMR
S7FAMR
S8FAMR
S9FAMR
S10FAMR
S11FAMR
S1FAMR:W1 Whether Family Resp
S2FAMR:W2 Whether Family Resp
S3FAMR:W3 Whether Family Resp
S4FAMR:W4 Whether Family Resp
S5FAMR:W5 Whether Family Resp
S6FAMR:W6 Whether Family Resp
S7FAMR:W7 Whether Family Resp
S8FAMR:W8 Whether Family Resp
S9FAMR:W9 Whether Family Resp
S10FAMR:W10 Whether Family Resp
S11FAMR:W11 Whether Family Resp
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
R1FINR
R2FINR
R3FINR
R4FINR
R5FINR
R6FINR
R7FINR
R8FINR
R9FINR
R10FINR
R11FINR
R1FINR:W1 Whether Financial Resp
R2FINR:W2 Whether Financial Resp
R3FINR:W3 Whether Financial Resp
R4FINR:W4 Whether Financial Resp
R5FINR:W5 Whether Financial Resp
R6FINR:W6 Whether Financial Resp
R7FINR:W7 Whether Financial Resp
R8FINR:W8 Whether Financial Resp
R9FINR:W9 Whether Financial Resp
R10FINR:W10 Whether Financial Resp
R11FINR:W11 Whether Financial Resp
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1FINR
S2FINR
S3FINR
S4FINR
S5FINR
S6FINR
S7FINR
S8FINR
S9FINR
S10FINR
S11FINR
S1FINR:W1 Whether Financial Resp
S2FINR:W2 Whether Financial Resp
S3FINR:W3 Whether Financial Resp
S4FINR:W4 Whether Financial Resp
S5FINR:W5 Whether Financial Resp
S6FINR:W6 Whether Financial Resp
S7FINR:W7 Whether Financial Resp
S8FINR:W8 Whether Financial Resp
S9FINR:W9 Whether Financial Resp
S10FINR:W10 Whether Financial Resp
S11FINR:W11 Whether Financial Resp
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
H1ANYFAM
H2ANYFAM
H3ANYFAM
H4ANYFAM
H5ANYFAM
H6ANYFAM
H7ANYFAM
H8ANYFAM
H9ANYFAM
H1ANYFAM:W1
H2ANYFAM:W2
H3ANYFAM:W3
H4ANYFAM:W4
H5ANYFAM:W5
H6ANYFAM:W6
H7ANYFAM:W7
H8ANYFAM:W8
H9ANYFAM:W9
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Whether
Whether
Whether
Whether
Whether
Whether
Whether
Whether
Whether
any
any
any
any
any
any
any
any
any
FamR
FamR
FamR
FamR
FamR
FamR
FamR
FamR
FamR
in
in
in
in
in
in
in
in
in
HH
HH
HH
HH
HH
HH
HH
HH
HH
Section A: Demographics, Identifiers, and Weights
92
10
11
H10ANYFAM
H11ANYFAM
H10ANYFAM:W10 Whether any FamR in HH
H11ANYFAM:W11 Whether any FamR in HH
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
H1ANYFIN
H2ANYFIN
H3ANYFIN
H4ANYFIN
H5ANYFIN
H6ANYFIN
H7ANYFIN
H8ANYFIN
H9ANYFIN
H10ANYFIN
H11ANYFIN
H1ANYFIN:W1 Whether any FinR in HH
H2ANYFIN:W2 Whether any FinR in HH
H3ANYFIN:W3 Whether any FinR in HH
H4ANYFIN:W4 Whether any FinR in HH
H5ANYFIN:W5 Whether any FinR in HH
H6ANYFIN:W6 Whether any FinR in HH
H7ANYFIN:W7 Whether any FinR in HH
H8ANYFIN:W8 Whether any FinR in HH
H9ANYFIN:W9 Whether any FinR in HH
H10ANYFIN:W10 Whether any FinR in HH
H11ANYFIN:W11 Whether any FinR in HH
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1FAMR
R2FAMR
R3FAMR
R4FAMR
R5FAMR
R6FAMR
R7FAMR
R8FAMR
R9FAMR
R10FAMR
R11FAMR
12652
19642
17991
21384
19578
18165
20129
18469
17217
22034
20554
0.60
0.66
0.67
0.66
0.67
0.68
0.67
0.68
0.69
0.68
0.69
0.49
0.47
0.47
0.47
0.47
0.47
0.47
0.47
0.46
0.47
0.46
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S1FAMR
S2FAMR
S3FAMR
S4FAMR
S5FAMR
S6FAMR
S7FAMR
S8FAMR
S9FAMR
S10FAMR
S11FAMR
9900
13088
11915
13978
12729
11639
12972
11735
10646
13517
12490
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R1FINR
R2FINR
R3FINR
R4FINR
R5FINR
R6FINR
R7FINR
R8FINR
R9FINR
R10FINR
R11FINR
12652
19642
17991
21384
19578
18165
20129
18469
17217
22034
20554
0.60
0.66
0.66
0.67
0.67
0.68
0.67
0.68
0.69
0.69
0.69
0.49
0.47
0.47
0.47
0.47
0.47
0.47
0.47
0.46
0.46
0.46
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S1FINR
S2FINR
S3FINR
S4FINR
S5FINR
S6FINR
S7FINR
S8FINR
9900
13088
11915
13978
12729
11639
12972
11735
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Section A: Demographics, Identifiers, and Weights
93
S9FINR
S10FINR
S11FINR
10646
13517
12490
0.50
0.50
0.50
0.50
0.50
0.50
0.0
0.0
0.0
1.0
1.0
1.0
H1ANYFAM
H2ANYFAM
H3ANYFAM
H4ANYFAM
H5ANYFAM
H6ANYFAM
H7ANYFAM
H8ANYFAM
H9ANYFAM
H10ANYFAM
H11ANYFAM
12652
19642
17991
21384
19579
18165
20129
18469
17217
22034
20554
0.99
0.99
1.00
0.99
0.99
1.00
0.99
1.00
1.00
0.99
0.99
0.11
0.10
0.06
0.10
0.07
0.01
0.08
0.07
0.07
0.12
0.09
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
H1ANYFIN
H2ANYFIN
H3ANYFIN
H4ANYFIN
H5ANYFIN
H6ANYFIN
H7ANYFIN
H8ANYFIN
H9ANYFIN
H10ANYFIN
H11ANYFIN
12652
19642
17991
21384
19579
18165
20129
18469
17217
22034
20554
0.99
0.99
1.00
0.99
1.00
1.00
1.00
1.00
1.00
0.99
0.99
0.09
0.09
0.07
0.08
0.07
0.04
0.05
0.05
0.06
0.08
0.08
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Categorical Variable Codes
Value----------------------|R1FAMR
0.no
|5105
1.yes
|7547
R2FAMR
6719
12923
R3FAMR
6026
11965
R4FAMR
7181
14203
R5FAMR
6471
13107
R6FAMR
5819
12346
R7FAMR
6615
13514
R8FAMR
5955
12514
R9FAMR
5404
11813
R10FAMR
7058
14976
R11FAMR
6408
14146
Value----------------------|S1FAMR
.M=Oth missing
|
.U=Unmar
|2373
.V=Sp NR
|379
0.no
|4950
1.yes
|4950
S2FAMR
S3FAMR
S4FAMR
S6FAMR
S7FAMR
S8FAMR
S9FAMR
S10FAMR
S11FAMR
5970
584
6556
6532
5658
418
5955
5960
6869
537
7007
6971
S5FAMR
1
6538
311
6364
6365
6306
220
5816
5823
6777
380
6484
6488
6417
317
5865
5870
6206
365
5320
5326
7795
722
6756
6761
7473
591
6241
6249
Value----------------------|R1FINR
0.no
|5045
1.yes
|7607
R2FINR
6694
12948
R3FINR
6036
11955
R4FINR
7127
14257
R5FINR
6461
13117
R6FINR
5846
12319
R7FINR
6544
13585
R8FINR
5910
12559
R9FINR
5375
11842
R10FINR
6906
15128
R11FINR
6364
14190
Value----------------------|S1FINR
.M=Oth missing
|
.U=Unmar
|2373
.V=Sp NR
|379
0.no
|4950
1.yes
|4950
S2FINR
S3FINR
S4FINR
S7FINR
S8FINR
S9FINR
S10FINR
S11FINR
5658
418
5957
5958
6869
537
6992
6986
S5FINR
1
6538
311
6364
6365
S6FINR
5970
584
6555
6533
6306
220
5816
5823
6777
380
6484
6488
6417
317
5865
5870
6206
365
5320
5326
7795
722
6756
6761
7473
591
6240
6250
Value----------------------|H1ANYFAM H2ANYFAM H3ANYFAM H4ANYFAM H5ANYFAM H6ANYFAM H7ANYFAM H8ANYFAM H9ANYFAM
0.no
|155
208
72
210
107
3
131
92
84
1.yes
|12497
19434
17919
21174
19472
18162
19998
18377
17133
H10ANYFAM H11ANYFAM
302
171
21732
20383
Value----------------------|H1ANYFIN H2ANYFIN H3ANYFIN H4ANYFIN H5ANYFIN H6ANYFIN H7ANYFIN H8ANYFIN H9ANYFIN
0.no
|95
161
83
141
97
30
60
47
55
1.yes
|12557
19481
17908
21243
19482
18135
20069
18422
17162
H10ANYFIN H11ANYFIN
150
126
21884
20428
How Constructed:
In couple households, household level questions about finances are answered by one individual designated
the "financial respondent", and questions about family are answered the individual designated the "family
respondent". The financial respondent may be the same as the family respondent, or not, depending on the
household. In single households, the only respondent is both the financial and family respondent.
Section A: Demographics, Identifiers, and Weights
94
RwFINR and RwFAMR indicate whether the respondent is the designated financial and family respondent,
respectively. These flags are set to one if the designated respondent or zero if not.
HwANYFIN indicates if any individual in the household is the financial respondent, and HwANYFAM indicates
the same for the family respondent. A value of zero in HwANYFIN or HwANYFAM indicates that there is no
financial or family respondent, respectively, and thus no household level information on the relevant
topics. HwANYFIN and HwANYFAM are set to .S for the deceased respondents in Wave 2 in previous version
of RANDHRS. We exclude the W2 deceased respondents in this version.
SwFINR and SwFAMR are taken from the Wave 'w' spouse's value for RwFINR and RwFAMR, respectively.
HRS Variables Used
Tracker:
AFAMR
AFINR
ASUBHH
BFAMR
BFINR
BSUBHH
CFAMR
CFINR
CSUBHH
DFAMR
DFINR
DSUBHH
EFAMR
EFINR
ESUBHH
FFAMR
FFINR
FSUBHH
GFAMR
GFINR
GSUBHH
HFAMR
HFINR
HHID
HSUBHH
JFAMR
JFINR
JSUBHH
KFAMR
KFINR
KSUBHH
LFAMR
LFINR
LSUBHH
MFAMR
MFINR
MSUBHH
NFAMR
NFINR
NSUBHH
1992 WHETHER FAMILY RESPONDENT
1992 WHETHER FINANCIAL RESPONDENT
1992 SUB-HOUSEHOLD IDENTIFIER
1993 WHETHER FAMILY RESPONDENT
1993 WHETHER FINANCIAL RESPONDENT
1993 SUB-HOUSEHOLD IDENTIFIER
1994 WHETHER FAMILY RESPONDENT
1994 WHETHER FINANCIAL RESPONDENT
1994 SUB-HOUSEHOLD IDENTIFIER
1995 WHETHER FAMILY RESPONDENT
1995 WHETHER FINANCIAL RESPONDENT
1995 SUB-HOUSEHOLD IDENTIFIER
1996 WHETHER FAMILY RESPONDENT
1996 WHETHER FINANCIAL RESPONDENT
1996 SUB-HOUSEHOLD IDENTIFIER
1998 WHETHER FAMILY RESPONDENT
1998 WHETHER FINANCIAL RESPONDENT
1998 SUB-HOUSEHOLD IDENTIFIER
2000 WHETHER FAMILY RESPONDENT
2000 WHETHER FINANCIAL RESPONDENT
2000 SUB-HOUSEHOLD IDENTIFIER
2002 WHETHER FAMILY RESPONDENT
2002 WHETHER FINANCIAL RESPONDENT
HOUSEHOLD IDENTIFIER
2002 SUB-HOUSEHOLD INDENTIFIER
2004 WHETHER FAMILY RESPONDENT
2004 WHETHER FINANCIAL RESPONDENT
2004 SUB-HOUSEHOLD INDENTIFIER
2006 WHETHER FAMILY RESPONDENT
2006 WHETHER FINANCIAL RESPONDENT
2006 SUB-HOUSEHOLD IDENTIFIER
2008 WHETHER FAMILY RESPONDENT
2008 WHETHER FINANCIAL RESPONDENT
2008 SUB-HOUSEHOLD IDENTFIER
2010 WHETHER FAMILY RESPONDENT
2010 WHETHER FINANCIAL RESPONDENT
2010 SUB-HOUSEHOLD IDENTIFIER
2012 WHETHER FAMILY RESPONDENT
2012 WHETHER FINANCIAL RESPONDENT
2012 SUB-HOUSEHOLD IDENTIFIER
Section A: Demographics, Identifiers, and Weights
95
Whether Proxy Interview
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1PROXY
R2PROXY
R3PROXY
R4PROXY
R5PROXY
R6PROXY
R7PROXY
R8PROXY
R9PROXY
R10PROXY
R11PROXY
R1PROXY:W1 Whether Proxy Interview
R2PROXY:W2 Whether Proxy Interview
R3PROXY:W3 Whether Proxy Interview
R4PROXY:W4 Whether Proxy Interview
R5PROXY:W5 Whether Proxy Interview
R6PROXY:W6 Whether Proxy Interview
R7PROXY:W7 Whether Proxy Interview
R8PROXY:W8 Whether Proxy Interview
R9PROXY:W9 Whether Proxy Interview
R10PROXY:W10 Whether Proxy Interview
R11PROXY:W11 Whether Proxy Interview
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1PROXY
S2PROXY
S3PROXY
S4PROXY
S5PROXY
S6PROXY
S7PROXY
S8PROXY
S9PROXY
S10PROXY
S11PROXY
S1PROXY:W1 Whether Proxy Interview
S2PROXY:W2 Whether Proxy Interview
S3PROXY:W3 Whether Proxy Interview
S4PROXY:W4 Whether Proxy Interview
S5PROXY:W5 Whether Proxy Interview
S6PROXY:W6 Whether Proxy Interview
S7PROXY:W7 Whether Proxy Interview
S8PROXY:W8 Whether Proxy Interview
S9PROXY:W9 Whether Proxy Interview
S10PROXY:W10 Whether Proxy Interview
S11PROXY:W11 Whether Proxy Interview
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1PROXY
R2PROXY
R3PROXY
R4PROXY
R5PROXY
R6PROXY
R7PROXY
R8PROXY
R9PROXY
R10PROXY
R11PROXY
12652
19642
17991
21384
19579
18165
20129
18469
17217
22034
20554
0.05
0.08
0.09
0.10
0.11
0.11
0.09
0.07
0.07
0.06
0.06
0.22
0.27
0.29
0.29
0.31
0.32
0.29
0.25
0.25
0.24
0.23
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S1PROXY
S2PROXY
S3PROXY
S4PROXY
S5PROXY
S6PROXY
S7PROXY
S8PROXY
S9PROXY
S10PROXY
S11PROXY
9900
13088
11915
13978
12730
11639
12972
11735
10646
13517
12490
0.06
0.09
0.09
0.10
0.11
0.12
0.09
0.07
0.06
0.06
0.05
0.24
0.28
0.29
0.30
0.31
0.32
0.29
0.25
0.24
0.24
0.22
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Categorical Variable Codes
Value----------------------|R1PROXY
0.not proxy
|12004
1.proxy
|648
R2PROXY
18073
1569
R3PROXY
16351
1640
R4PROXY
19341
2043
R5PROXY
17517
2062
R6PROXY
16129
2036
R7PROXY
18327
1802
R8PROXY
17209
1260
R9PROXY
16077
1140
R10PROXY
20652
1382
R11PROXY
19414
1140
Section A: Demographics, Identifiers, and Weights
Value----------------------|S1PROXY
.U=Unmar
|2373
.V=Sp NR
|379
0.not proxy
|9284
1.proxy
|616
S2PROXY
5970
584
11936
1152
S3PROXY
5658
418
10804
1111
96
S4PROXY
6869
537
12571
1407
S5PROXY
6538
311
11320
1410
S6PROXY
6306
220
10280
1359
S7PROXY
6777
380
11769
1203
S8PROXY
6417
317
10943
792
S9PROXY
6206
365
9989
657
S10PROXY
7795
722
12699
818
S11PROXY
7473
591
11845
645
How Constructed:
RwPROXY is set to 1 if the interview is by proxy in wave "w".
proxy. Proxy status is taken directly from the Tracker file.
It is set to 0 if the respondent is not a
The spouse's proxy flag is taken from the Wave 'w' spouse's variable, i.e., from the Wave 'w' spouse's
RwPROXY.
HRS Variables Used
Tracker:
APROXY
BPROXY
CPROXY
DPROXY
EPROXY
FPROXY
GPROXY
HPROXY
JPROXY
KPROXY
LPROXY
MPROXY
NPROXY
1992
1993
1994
1995
1996
1998
2000
2002
2004
2006
2008
2010
2012
PROXY
PROXY
PROXY
PROXY
PROXY
PROXY
PROXY
PROXY
PROXY
PROXY
PROXY
PROXY
PROXY
TYPE
TYPE
TYPE
TYPE
TYPE
TYPE
TYPE
TYPE
TYPE
TYPE
TYPE
TYPE
TYPE
STATUS
STATUS
STATUS
STATUS
STATUS
STATUS
STATUS
STATUS
STATUS
STATUS
STATUS
STATUS
STATUS
Section A: Demographics, Identifiers, and Weights
97
Interview Dates
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1IWBEG
R2IWBEG
R3IWBEG
R4IWBEG
R5IWBEG
R6IWBEG
R7IWBEG
R8IWBEG
R9IWBEG
R10IWBEG
R11IWBEG
R1IWBEG:W1 Interview Begin Date
R2IWBEG:W2 Interview Begin Date
R3IWBEG:W3 Interview Begin Date
R4IWBEG:W4 Interview Begin Date
R5IWBEG:W5 Interview Begin Date
R6IWBEG:W6 Interview Begin Date
R7IWBEG:W7 Interview Begin Date
R8IWBEG:W8 Interview Begin Date
R9IWBEG:W9 Interview Begin Date
R10IWBEG:W10 Interview Begin Date
R11IWBEG:W11 Interview Begin Date
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1IWBEG
S2IWBEG
S3IWBEG
S4IWBEG
S5IWBEG
S6IWBEG
S7IWBEG
S8IWBEG
S9IWBEG
S10IWBEG
S11IWBEG
S1IWBEG:W1 Interview Begin Date
S2IWBEG:W2 Interview Begin Date
S3IWBEG:W3 Interview Begin Date
S4IWBEG:W4 Interview Begin Date
S5IWBEG:W5 Interview Begin Date
S6IWBEG:W6 Interview Begin Date
S7IWBEG:W7 Interview Begin Date
S8IWBEG:W8 Interview Begin Date
S9IWBEG:W9 Interview Begin Date
S10IWBEG:W10 Interview Begin Date
S11IWBEG:W11 Interview Begin Date
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
R1IWBEGF
R2IWBEGF
R3IWBEGF
R4IWBEGF
R5IWBEGF
R6IWBEGF
R7IWBEGF
R8IWBEGF
R9IWBEGF
R10IWBEGF
R11IWBEGF
R1IWBEGF:W1 Interview Beg Date Flag
R2IWBEGF:W2 Interview Beg Date Flag
R3IWBEGF:W3 Interview Beg Date Flag
R4IWBEGF:W4 Interview Beg Date Flag
R5IWBEGF:W5 Interview Beg Date Flag
R6IWBEGF:W6 Interview Beg Date Flag
R7IWBEGF:W7 Interview Beg Date Flag
R8IWBEGF:W8 Interview Beg Date Flag
R9IWBEGF:W9 Interview Beg Date Flag
R10IWBEGF:W10 Interview Beg Date Flag
R11IWBEGF:W11 Interview Beg Date Flag
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1IWBEGF
S2IWBEGF
S3IWBEGF
S4IWBEGF
S5IWBEGF
S6IWBEGF
S7IWBEGF
S8IWBEGF
S9IWBEGF
S10IWBEGF
S11IWBEGF
S1IWBEGF:W1 Interview Beg Date Flag
S2IWBEGF:W2 Interview Beg Date Flag
S3IWBEGF:W3 Interview Beg Date Flag
S4IWBEGF:W4 Interview Beg Date Flag
S5IWBEGF:W5 Interview Beg Date Flag
S6IWBEGF:W6 Interview Beg Date Flag
S7IWBEGF:W7 Interview Beg Date Flag
S8IWBEGF:W8 Interview Beg Date Flag
S9IWBEGF:W9 Interview Beg Date Flag
S10IWBEGF:W10 Interview Beg Date Flag
S11IWBEGF:W11 Interview Beg Date Flag
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
R1IWEND
R2IWEND
R3IWEND
R4IWEND
R5IWEND
R6IWEND
R7IWEND
R8IWEND
R9IWEND
R1IWEND:W1
R2IWEND:W2
R3IWEND:W3
R4IWEND:W4
R5IWEND:W5
R6IWEND:W6
R7IWEND:W7
R8IWEND:W8
R9IWEND:W9
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Interview
Interview
Interview
Interview
Interview
Interview
Interview
Interview
Interview
End
End
End
End
End
End
End
End
End
Date
Date
Date
Date
Date
Date
Date
Date
Date
Section A: Demographics, Identifiers, and Weights
98
10
11
R10IWEND
R11IWEND
R10IWEND:W10 Interview End Date
R11IWEND:W11 Interview End Date
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1IWEND
S2IWEND
S3IWEND
S4IWEND
S5IWEND
S6IWEND
S7IWEND
S8IWEND
S9IWEND
S10IWEND
S11IWEND
S1IWEND:W1 Interview End Date
S2IWEND:W2 Interview End Date
S3IWEND:W3 Interview End Date
S4IWEND:W4 Interview End Date
S5IWEND:W5 Interview End Date
S6IWEND:W6 Interview End Date
S7IWEND:W7 Interview End Date
S8IWEND:W8 Interview End Date
S9IWEND:W9 Interview End Date
S10IWEND:W10 Interview End Date
S11IWEND:W11 Interview End Date
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
R1IWENDF
R2IWENDF
R3IWENDF
R4IWENDF
R5IWENDF
R6IWENDF
R7IWENDF
R8IWENDF
R9IWENDF
R10IWENDF
R11IWENDF
R1IWENDF:W1 Interview End Date Flag
R2IWENDF:W2 Interview End Date Flag
R3IWENDF:W3 Interview End Date Flag
R4IWENDF:W4 Interview End Date Flag
R5IWENDF:W5 Interview End Date Flag
R6IWENDF:W6 Interview End Date Flag
R7IWENDF:W7 Interview End Date Flag
R8IWENDF:W8 Interview End Date Flag
R9IWENDF:W9 Interview End Date Flag
R10IWENDF:W10 Interview End Date Flag
R11IWENDF:W11 Interview End Date Flag
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1IWENDF
S2IWENDF
S3IWENDF
S4IWENDF
S5IWENDF
S6IWENDF
S7IWENDF
S8IWENDF
S9IWENDF
S10IWENDF
S11IWENDF
S1IWENDF:W1 Interview End Date Flag
S2IWENDF:W2 Interview End Date Flag
S3IWENDF:W3 Interview End Date Flag
S4IWENDF:W4 Interview End Date Flag
S5IWENDF:W5 Interview End Date Flag
S6IWENDF:W6 Interview End Date Flag
S7IWENDF:W7 Interview End Date Flag
S8IWENDF:W8 Interview End Date Flag
S9IWENDF:W9 Interview End Date Flag
S10IWENDF:W10 Interview End Date Flag
S11IWENDF:W11 Interview End Date Flag
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
R1IWMID
R2IWMID
R3IWMID
R4IWMID
R5IWMID
R6IWMID
R7IWMID
R8IWMID
R9IWMID
R10IWMID
R11IWMID
R1IWMID:W1 Interview Midpoint Date
R2IWMID:W2 Interview Midpoint Date
R3IWMID:W3 Interview Midpoint Date
R4IWMID:W4 Interview Midpoint Date
R5IWMID:W5 Interview Midpoint Date
R6IWMID:W6 Interview Midpoint Date
R7IWMID:W7 Interview Midpoint Date
R8IWMID:W8 Interview Midpoint Date
R9IWMID:W9 Interview Midpoint Date
R10IWMID:W10 Interview Midpoint Date
R11IWMID:W11 Interview Midpoint Date
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1IWMID
S2IWMID
S3IWMID
S4IWMID
S5IWMID
S6IWMID
S7IWMID
S8IWMID
S9IWMID
S10IWMID
S11IWMID
S1IWMID:W1 Interview Midpoint Date
S2IWMID:W2 Interview Midpoint Date
S3IWMID:W3 Interview Midpoint Date
S4IWMID:W4 Interview Midpoint Date
S5IWMID:W5 Interview Midpoint Date
S6IWMID:W6 Interview Midpoint Date
S7IWMID:W7 Interview Midpoint Date
S8IWMID:W8 Interview Midpoint Date
S9IWMID:W9 Interview Midpoint Date
S10IWMID:W10 Interview Midpoint Date
S11IWMID:W11 Interview Midpoint Date
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Section A: Demographics, Identifiers, and Weights
99
1
2
3
4
5
6
7
8
9
10
11
R1IWMIDF
R2IWMIDF
R3IWMIDF
R4IWMIDF
R5IWMIDF
R6IWMIDF
R7IWMIDF
R8IWMIDF
R9IWMIDF
R10IWMIDF
R11IWMIDF
R1IWMIDF:W1 Interview Midpt Date Flag
R2IWMIDF:W2 Interview Midpt Date Flag
R3IWMIDF:W3 Interview Midpt Date Flag
R4IWMIDF:W4 Interview Midpt Date Flag
R5IWMIDF:W5 Interview Midpt Date Flag
R6IWMIDF:W6 Interview Midpt Date Flag
R7IWMIDF:W7 Interview Midpt Date Flag
R8IWMIDF:W8 Interview Midpt Date Flag
R9IWMIDF:W9 Interview Midpt Date Flag
R10IWMIDF:W10 Interview Midpt Date Flag
R11IWMIDF:W11 Interview Midpt Date Flag
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1IWMIDF
S2IWMIDF
S3IWMIDF
S4IWMIDF
S5IWMIDF
S6IWMIDF
S7IWMIDF
S8IWMIDF
S9IWMIDF
S10IWMIDF
S11IWMIDF
S1IWMIDF:W1 Interview Midpt Date Flag
S2IWMIDF:W2 Interview Midpt Date Flag
S3IWMIDF:W3 Interview Midpt Date Flag
S4IWMIDF:W4 Interview Midpt Date Flag
S5IWMIDF:W5 Interview Midpt Date Flag
S6IWMIDF:W6 Interview Midpt Date Flag
S7IWMIDF:W7 Interview Midpt Date Flag
S8IWMIDF:W8 Interview Midpt Date Flag
S9IWMIDF:W9 Interview Midpt Date Flag
S10IWMIDF:W10 Interview Midpt Date Flag
S11IWMIDF:W11 Interview Midpt Date Flag
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
R1IWENDM
R2IWENDM
R3IWENDM
R4IWENDM
R5IWENDM
R6IWENDM
R7IWENDM
R8IWENDM
R9IWENDM
R10IWENDM
R11IWENDM
R1IWENDM:W1 Interview End Month
R2IWENDM:W2 Interview End Month
R3IWENDM:W3 Interview End Month
R4IWENDM:W4 Interview End Month
R5IWENDM:W5 Interview End Month
R6IWENDM:W6 Interview End Month
R7IWENDM:W7 Interview End Month
R8IWENDM:W8 Interview End Month
R9IWENDM:W9 Interview End Month
R10IWENDM:W10 Interview End Month
R11IWENDM:W11 Interview End Month
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1IWENDM
S2IWENDM
S3IWENDM
S4IWENDM
S5IWENDM
S6IWENDM
S7IWENDM
S8IWENDM
S9IWENDM
S10IWENDM
S11IWENDM
S1IWENDM:W1 Interview End Month
S2IWENDM:W2 Interview End Month
S3IWENDM:W3 Interview End Month
S4IWENDM:W4 Interview End Month
S5IWENDM:W5 Interview End Month
S6IWENDM:W6 Interview End Month
S7IWENDM:W7 Interview End Month
S8IWENDM:W8 Interview End Month
S9IWENDM:W9 Interview End Month
S10IWENDM:W10 Interview End Month
S11IWENDM:W11 Interview End Month
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
R1IWENDY
R2IWENDY
R3IWENDY
R4IWENDY
R5IWENDY
R6IWENDY
R7IWENDY
R8IWENDY
R9IWENDY
R10IWENDY
R11IWENDY
R1IWENDY:W1 Interview End Year
R2IWENDY:W2 Interview End Year
R3IWENDY:W3 Interview End Year
R4IWENDY:W4 Interview End Year
R5IWENDY:W5 Interview End Year
R6IWENDY:W6 Interview End Year
R7IWENDY:W7 Interview End Year
R8IWENDY:W8 Interview End Year
R9IWENDY:W9 Interview End Year
R10IWENDY:W10 Interview End Year
R11IWENDY:W11 Interview End Year
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
S1IWENDY
S2IWENDY
S3IWENDY
S1IWENDY:W1 Interview End Year
S2IWENDY:W2 Interview End Year
S3IWENDY:W3 Interview End Year
Cont
Cont
Cont
Section A: Demographics, Identifiers, and Weights
4
5
6
7
8
9
10
11
S4IWENDY
S5IWENDY
S6IWENDY
S7IWENDY
S8IWENDY
S9IWENDY
S10IWENDY
S11IWENDY
100
S4IWENDY:W4 Interview End Year
S5IWENDY:W5 Interview End Year
S6IWENDY:W6 Interview End Year
S7IWENDY:W7 Interview End Year
S8IWENDY:W8 Interview End Year
S9IWENDY:W9 Interview End Year
S10IWENDY:W10 Interview End Year
S11IWENDY:W11 Interview End Year
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1IWBEG
R2IWBEG
R3IWBEG
R4IWBEG
R5IWBEG
R6IWBEG
R7IWBEG
R8IWBEG
R9IWBEG
R10IWBEG
R11IWBEG
12652
19642
17991
21384
19579
18165
20129
18469
17217
22034
20554
11939.30
12539.36
13276.31
14037.10
14746.61
15535.41
16249.03
16978.96
17698.54
18565.60
19217.42
83.24
105.60
109.72
88.32
63.93
66.71
76.10
78.90
77.42
138.00
82.07
11779.0
12341.0
13102.0
13894.0
14624.0
15355.0
16116.0
16875.0
17577.0
18336.0
19098.0
12125.0
12773.0
13560.0
14318.0
14959.0
15751.0
16482.0
17212.0
17943.0
18915.0
19677.0
S1IWBEG
S2IWBEG
S3IWBEG
S4IWBEG
S5IWBEG
S6IWBEG
S7IWBEG
S8IWBEG
S9IWBEG
S10IWBEG
S11IWBEG
9900
13088
11915
13978
12730
11639
12972
11735
10646
13517
12490
11939.94
12556.11
13291.68
14041.24
14745.67
15533.46
16250.66
16982.50
17698.18
18563.78
19219.47
83.15
100.53
104.78
87.52
62.81
65.52
75.81
78.62
76.99
140.26
81.81
11779.0
12341.0
13102.0
13894.0
14624.0
15355.0
16116.0
16875.0
17577.0
18336.0
19098.0
12125.0
12773.0
13560.0
14318.0
14959.0
15751.0
16482.0
17212.0
17943.0
18915.0
19463.0
R1IWBEGF
R2IWBEGF
R3IWBEGF
R4IWBEGF
R5IWBEGF
R6IWBEGF
R7IWBEGF
R8IWBEGF
R9IWBEGF
R10IWBEGF
R11IWBEGF
12652
19642
17991
21384
19579
18165
20129
18469
17217
22034
20554
0.00
0.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
0.01
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S1IWBEGF
S2IWBEGF
S3IWBEGF
S4IWBEGF
S5IWBEGF
S6IWBEGF
S7IWBEGF
S8IWBEGF
S9IWBEGF
S10IWBEGF
S11IWBEGF
9900
13088
11915
13978
12730
11639
12972
11735
10646
13517
12490
0.00
0.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
0.01
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R1IWEND
R2IWEND
12652
19642
11939.95
12540.27
83.30
106.56
11779.0
12341.0
12125.0
12857.0
Section A: Demographics, Identifiers, and Weights
101
R3IWEND
R4IWEND
R5IWEND
R6IWEND
R7IWEND
R8IWEND
R9IWEND
R10IWEND
R11IWEND
17991
21384
19579
18165
20129
18469
17217
22034
20554
13277.50
14038.90
14748.04
15536.50
16249.03
16979.95
17699.66
18567.43
19220.21
111.09
89.00
64.73
67.51
76.10
79.43
78.02
138.22
83.79
13102.0
13894.0
14624.0
15445.0
16116.0
16875.0
17577.0
18336.0
19098.0
13560.0
14318.0
14959.0
15779.0
16482.0
17212.0
17943.0
18946.0
19493.0
S1IWEND
S2IWEND
S3IWEND
S4IWEND
S5IWEND
S6IWEND
S7IWEND
S8IWEND
S9IWEND
S10IWEND
S11IWEND
9900
13088
11915
13978
12730
11639
12972
11735
10646
13517
12490
11940.49
12556.79
13292.64
14042.64
14746.81
15534.28
16250.66
16983.11
17698.85
18565.21
19221.67
83.19
101.15
105.77
87.95
63.36
66.13
75.81
78.93
77.32
140.44
83.27
11779.0
12341.0
13102.0
13925.0
14624.0
15445.0
16116.0
16875.0
17577.0
18336.0
19098.0
12125.0
12857.0
13560.0
14318.0
14959.0
15751.0
16482.0
17212.0
17943.0
18946.0
19493.0
R1IWENDF
R2IWENDF
R3IWENDF
R4IWENDF
R5IWENDF
R6IWENDF
R7IWENDF
R8IWENDF
R9IWENDF
R10IWENDF
R11IWENDF
12652
19642
17991
21384
19579
18165
20129
18469
17217
22034
20554
0.01
2.93
3.34
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
0.30
3.45
2.93
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
7.0
7.0
7.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S1IWENDF
S2IWENDF
S3IWENDF
S4IWENDF
S5IWENDF
S6IWENDF
S7IWENDF
S8IWENDF
S9IWENDF
S10IWENDF
S11IWENDF
9900
13088
11915
13978
12730
11639
12972
11735
10646
13517
12490
0.01
2.33
2.82
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
0.23
3.30
2.76
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
7.0
7.0
7.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R1IWMID
R2IWMID
R3IWMID
R4IWMID
R5IWMID
R6IWMID
R7IWMID
R8IWMID
R9IWMID
R10IWMID
R11IWMID
12652
19642
17991
21384
19579
18165
20129
18469
17217
22034
20554
11939.63
12539.81
13276.90
14038.00
14747.33
15535.96
16249.03
16979.45
17699.10
18566.52
19218.81
83.22
105.98
110.28
88.45
64.14
66.90
76.10
79.02
77.55
137.95
82.43
11779.0
12341.0
13102.0
13894.0
14624.0
15445.0
16116.0
16875.0
17577.0
18336.0
19098.0
12125.0
12774.0
13560.0
14318.0
14959.0
15751.0
16482.0
17212.0
17943.0
18930.5
19494.5
S1IWMID
S2IWMID
S3IWMID
S4IWMID
S5IWMID
9900
13088
11915
13978
12730
11940.21
12556.45
13292.16
14041.94
14746.24
83.12
100.78
105.18
87.60
62.95
11779.0
12341.0
13102.0
13925.0
14624.0
12125.0
12774.0
13560.0
14318.0
14959.0
Section A: Demographics, Identifiers, and Weights
102
S6IWMID
S7IWMID
S8IWMID
S9IWMID
S10IWMID
S11IWMID
11639
12972
11735
10646
13517
12490
15533.87
16250.66
16982.81
17698.51
18564.50
19220.57
65.66
75.81
78.71
77.08
140.24
82.16
15445.0
16116.0
16875.0
17577.0
18336.0
19098.0
15751.0
16482.0
17212.0
17943.0
18930.5
19463.0
R1IWMIDF
R2IWMIDF
R3IWMIDF
R4IWMIDF
R5IWMIDF
R6IWMIDF
R7IWMIDF
R8IWMIDF
R9IWMIDF
R10IWMIDF
R11IWMIDF
12652
19642
17991
21384
19579
18165
20129
18469
17217
22034
20554
0.06
0.05
0.04
0.07
0.06
0.04
0.00
0.04
0.04
0.07
0.09
0.29
0.28
0.29
0.37
0.35
0.27
0.00
0.28
0.29
0.37
0.42
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
2.0
2.0
2.0
2.0
2.0
2.0
0.0
2.0
2.0
2.0
2.0
S1IWMIDF
S2IWMIDF
S3IWMIDF
S4IWMIDF
S5IWMIDF
S6IWMIDF
S7IWMIDF
S8IWMIDF
S9IWMIDF
S10IWMIDF
S11IWMIDF
9900
13088
11915
13978
12730
11639
12972
11735
10646
13517
12490
0.05
0.05
0.04
0.06
0.06
0.03
0.00
0.03
0.03
0.06
0.07
0.27
0.27
0.27
0.35
0.33
0.23
0.00
0.24
0.25
0.34
0.38
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
2.0
2.0
2.0
2.0
2.0
2.0
0.0
2.0
2.0
2.0
2.0
R1IWENDM
R2IWENDM
R3IWENDM
R4IWENDM
R5IWENDM
R6IWENDM
R7IWENDM
R8IWENDM
R9IWENDM
R10IWENDM
R11IWENDM
12652
19642
17991
21384
19579
18165
20129
18469
17217
22034
20554
7.39
6.83
6.87
5.38
5.09
6.75
6.24
6.15
5.82
6.91
6.96
3.04
3.23
3.31
2.56
2.12
2.16
2.45
2.50
2.44
3.52
2.50
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
S1IWENDM
S2IWENDM
S3IWENDM
S4IWENDM
S5IWENDM
S6IWENDM
S7IWENDM
S8IWENDM
S9IWENDM
S10IWENDM
S11IWENDM
9900
13088
11915
13978
12730
11639
12972
11735
10646
13517
12490
7.41
6.83
6.95
5.48
5.05
6.72
6.31
6.24
5.80
6.85
7.01
3.04
2.96
3.01
2.51
2.08
2.11
2.44
2.49
2.42
3.48
2.49
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
R1IWENDY
R2IWENDY
R3IWENDY
R4IWENDY
R5IWENDY
R6IWENDY
R7IWENDY
R8IWENDY
12652
19642
17991
21384
19579
18165
20129
18469
1992.12
1993.81
1995.82
1998.03
2000.00
2002.02
2004.01
2006.02
0.32
0.39
0.43
0.18
0.00
0.14
0.11
0.15
1992.0
1993.0
1995.0
1998.0
2000.0
2002.0
2004.0
2006.0
1993.0
1995.0
1997.0
1999.0
2000.0
2003.0
2005.0
2007.0
Section A: Demographics, Identifiers, and Weights
103
R9IWENDY
R10IWENDY
R11IWENDY
17217
22034
20554
2008.02
2010.31
2012.09
0.14
0.46
0.28
2008.0
2010.0
2012.0
2009.0
2011.0
2013.0
S1IWENDY
S2IWENDY
S3IWENDY
S4IWENDY
S5IWENDY
S6IWENDY
S7IWENDY
S8IWENDY
S9IWENDY
S10IWENDY
S11IWENDY
9900
13088
11915
13978
12730
11639
12972
11735
10646
13517
12490
1992.12
1993.85
1995.86
1998.04
2000.00
2002.02
2004.01
2006.02
2008.02
2010.30
2012.09
0.32
0.35
0.40
0.19
0.00
0.13
0.11
0.15
0.14
0.46
0.28
1992.0
1993.0
1995.0
1998.0
2000.0
2002.0
2004.0
2006.0
2008.0
2010.0
2012.0
1993.0
1995.0
1997.0
1999.0
2000.0
2003.0
2005.0
2007.0
2009.0
2011.0
2013.0
Categorical Variable Codes
Value----------------------|R1IWBEGF R2IWBEGF R3IWBEGF R4IWBEGF R5IWBEGF R6IWBEGF R7IWBEGF R8IWBEGF R9IWBEGF
0.m/d/y ok
|12651
19642
1.day miss
|1
17991
21384
19579
18165
20129
18469
17217
R10IWBEGF R11IWBEGF
Value----------------------|S1IWBEGF
.U=Unmar
|2373
.V=Sp NR
|379
0.m/d/y ok
|9899
1.day miss
|1
S5IWBEGF S6IWBEGF S7IWBEGF S8IWBEGF S9IWBEGF
6538
6306
6777
6417
6206
311
220
380
317
365
S10IWBEGF S11IWBEGF
7795
7473
722
591
12730
13517
S2IWBEGF S3IWBEGF S4IWBEGF
5970
5658
6869
584
418
537
13088
11915
13978
11639
12972
11735
10646
22034
20554
12490
Value----------------------|R1IWENDF R2IWENDF R3IWENDF R4IWENDF R5IWENDF R6IWENDF R7IWENDF R8IWENDF R9IWENDF
0.m/d/y ok
|12621
11420
1.day miss
|7
10964
21384
19579
18165
20129
18469
17217
3.day/mon miss
|1
7.day/mon/yr miss
|23
8222
7027
R10IWENDF R11IWENDF
Value----------------------|S1IWENDF
.U=Unmar
|2373
.V=Sp NR
|379
0.m/d/y ok
|9883
1.day miss
|6
3.day/mon miss
|1
7.day/mon/yr miss
|10
S2IWENDF S3IWENDF S4IWENDF
5970
5658
6869
584
418
537
8739
8306
13978
S5IWENDF S6IWENDF S7IWENDF S8IWENDF S9IWENDF
6538
6306
6777
6417
6206
311
220
380
317
365
S10IWENDF S11IWENDF
7795
7473
722
591
12730
13517
Value----------------------|R1IWMIDF
0.IVW beg dt=end dt
|12033
1.IVW beg mon=end mon
|452
2.IVW begmon NE endmon
|167
R2IWMIDF R3IWMIDF R4IWMIDF R5IWMIDF R6IWMIDF R7IWMIDF R8IWMIDF R9IWMIDF
18880
17613
20606
18956
17838
20129
18099
16850
477
285
378
778
623
327
370
367
Value----------------------|S1IWMIDF
.U=Unmar
|2373
.V=Sp NR
|379
0.IVW beg dt=end dt
|9490
1.IVW beg mon=end mon
|305
2.IVW begmon NE endmon
|105
S2IWMIDF
5970
584
12603
319
166
4349
11639
12972
11735
10646
22034
20554
12490
3609
S3IWMIDF
5658
418
11696
S4IWMIDF
6869
537
13532
S5IWMIDF
6538
311
12378
S6IWMIDF
6306
220
11478
219
446
352
161
S7IWMIDF
6777
380
12972
R10IWMIDF R11IWMIDF
21263
19591
771
963
S8IWMIDF
6417
317
11558
S9IWMIDF
6206
365
10474
S10IWMIDF
7795
722
13121
S11IWMIDF
7473
591
12023
177
172
396
467
How Constructed:
These variables are derived from the beginning and ending interview date. The RwIWBEG variables are the
beginning interview dates and the RwIWEND variables are the ending interview dates. In some waves only
one interview date is given, and is used as both the beginning and ending date.
The RwIWMID variables are derived as the midpoint between the beginning and ending interview dates. From
Wave 6 forward and in Waves 2A and 3A of AHEAD, there is only one interview date given; this is used for
the beginning, ending, and midpoint interview date.
Note that most beginning and ending interview dates are the same. In the cases where they differ, the
interview is usually suspended near the beginning of the survey questions and picked up days, weeks, or
months later. According to ISR, the ending interview date is usually applicable to most of the
interview, particularly the later sections.
Section A: Demographics, Identifiers, and Weights
104
RwIWBEG, RwIWMID, and RwIWEND are in SAS date format, which is the number of days relative to January 1,
1960. RwIWENDM and RwIWENDY provide the end interview month and year, respectively, not in SAS date
format.
The interview day is available only for Waves 1 and 2H, and for Wave 2A of AHEAD. From Wave 3 forward,
the 15th of the interview month was used. These variables are SAS dates (# days from 1/1/1960).
For 4 cases in HRS 1998 and for 1 case in HRS 1996, the interview year appears as 1980. For the 1998
cases, the median interview month and year for all other cases with the same version of the questionnaire
is used. For the 1996 case, 6/1996 is used.
For Waves 1, 2, 3A, and 4, the Tracker variables were used instead of the corresponding raw variables for
the beginning interview month and year.
For Waves 3H and 5, the Tracker variables were used instead of the corresponding raw variables for the
ending interview month and year.
The spouse's variables are taken from the Wave 'w' spouse's variables, i.e., from the Wave 'w' spouse's
RwIWBEG, RwIWBEGF, RwIWEND, RwIWENDF, RwIWMID, and RwIWMIDF.
Cross Wave Differences in Original HRS Data
In Waves 1 and 2H the month, day, and year that the interview began and ended are given. In Wave 2A of
AHEAD, the month, day, and year that the interview began are given, but not the corresponding ending
dates. This is also true for Wave 3A, the only difference being that the day the interview began is also
not given. From Wave 3H forward, the day of interview is not available.
Also in Waves 3H and 4, two interview months are given, which are not labeled beginning or end.
Comparison of the two months determined which is the beginning and which is the ending interview date.
For 4 cases in HRS 98 and for one case in HRS 96, the interview year appears as 1980.
In Wave 5 two interview months are given, which are labeled beginning and current month.
For Waves 1,2 and 4, the Tracker variables that correspond to the beginning interview month and year are
available.
For Waves 3H and 5, the Tracker variables that correspond to the ending interview month and year are
available.
From Wave 6 forward, only one interview date is available in the data, both in the Cover Sheet section
and on Tracker. It is unclear whether the date is the beginning or ending interview date, but based on
comparisons with data model number in 2006 (JVDATE) we think it likely to be the end interview date, that
is, the date on which most of the interview was conducted.
HRS Variables Used
HRS 1992:
V24
V26
V27
V28
AHEAD 1993:
B360
HRS 1994:
W57
W59
W60
W61
AHEAD 1995:
D397
D398
HRS 1996:
FS6:DATE
FS7:DATE
FS7:DATE
FS7:DATE
IW
IW
IW
IW
BEGAN-DAY
CMPLTD-MO
CMPLT-DAY
COMPLT-YR
INTERVIEW DAY
Begin of Interview
End of Interview End of Interview End of Interview TIME YEAR
TIME MONTH
- Day
Month
Day
Year
Section A: Demographics, Identifiers, and Weights
E391
E393
E397
E398
HRS 1998:
F697
F699
HRS 2000:
G774
G775
HRS 2002:
HA500
HA501
HRS 2004:
JA500
JA501
HRS 2006:
KA500
KA501
HRS 2008:
LA500
LA501
HRS 2010:
MA500
MA501
HRS 2012:
NA500
NA501
Tracker:
AIWMONTH
AIWYEAR
BIWMONTH
BIWYEAR
CIWMONTH
CIWYEAR
DIWMONTH
DIWYEAR
EIWMONTH
EIWYEAR
FIWMONTH
FIWYEAR
GIWMONTH
GIWYEAR
HIWMONTH
HIWYEAR
JIWMONTH
JIWYEAR
KIWMONTH
KIWYEAR
LIWMONTH
LIWYEAR
MIWMONTH
MIWYEAR
NIWMONTH
NIWYEAR
CUR MONTH 1-12
CUR YEAR YYYY
PERM TIME YEAR YYYY
PERM TIME MONTH 1-12
CUR MONTH TEXT
CUR YEAR YYYY
CS22Y49.TIME YEAR
CS22Y50.TIME MONTH
DATE OF INTERVIEW - MONTH
DATE OF INTERVIEW - YEAR
DATE OF INTERVIEW - MONTH
DATE OF INTERVIEW - YEAR
DATE OF INTERVIEW - MONTH
DATE OF INTERVIEW - YEAR
DATE OF INTERVIEW - MONTH
DATE OF INTERVIEW - YEAR
DATE OF INTERVIEW - MONTH
DATE OF INTERVIEW - YEAR
DATE OF INTERVIEW - MONTH
DATE OF INTERVIEW - YEAR
1992
1992
1993
1993
1994
1994
1995
1995
1996
1996
1998
1998
2000
2000
2002
2002
2004
2004
2006
2006
2008
2008
2010
2010
2012
2012
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
INTERVIEW
MONTH
YEAR
MONTH
YEAR
MONTH
YEAR
MONTH
YEAR
MONTH
YEAR
MONTH
YEAR
MONTH
YEAR
MONTH
YEAR
MONTH
YEAR
MONTH
YEAR
MONTH
YEAR
MONTH
YEAR
MONTH
YEAR
105
Section A: Demographics, Identifiers, and Weights
106
Birth date: Month, Year, and SAS date
Wave
Variable
Label
Type
1
RABYEAR
RABYEAR: R birth year
Cont
1
2
3
4
5
6
7
8
9
10
11
S1BYEAR
S2BYEAR
S3BYEAR
S4BYEAR
S5BYEAR
S6BYEAR
S7BYEAR
S8BYEAR
S9BYEAR
S10BYEAR
S11BYEAR
S1BYEAR: S birth year
S2BYEAR: S birth year
S3BYEAR: S birth year
S4BYEAR: S birth year
S5BYEAR: S birth year
S6BYEAR: S birth year
S7BYEAR: S birth year
S8BYEAR: S birth year
S9BYEAR: S birth year
S10BYEAR: S birth year
S11BYEAR: S birth year
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
RABMONTH
RABMONTH: R birth month
Cont
1
2
3
4
5
6
7
8
9
10
11
S1BMONTH
S2BMONTH
S3BMONTH
S4BMONTH
S5BMONTH
S6BMONTH
S7BMONTH
S8BMONTH
S9BMONTH
S10BMONTH
S11BMONTH
S1BMONTH: S birth month
S2BMONTH: S birth month
S3BMONTH: S birth month
S4BMONTH: S birth month
S5BMONTH: S birth month
S6BMONTH: S birth month
S7BMONTH: S birth month
S8BMONTH: S birth month
S9BMONTH: S birth month
S10BMONTH: S birth month
S11BMONTH: S birth month
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
RABFLAG
RABFLAG: R flag birthdate missings
Categ
1
2
3
4
5
6
7
8
9
10
11
S1BFLAG
S2BFLAG
S3BFLAG
S4BFLAG
S5BFLAG
S6BFLAG
S7BFLAG
S8BFLAG
S9BFLAG
S10BFLAG
S11BFLAG
S1BFLAG: S flag birthdate missings
S2BFLAG: S flag birthdate missings
S3BFLAG: S flag birthdate missings
S4BFLAG: S flag birthdate missings
S5BFLAG: S flag birthdate missings
S6BFLAG: S flag birthdate missings
S7BFLAG: S flag birthdate missings
S8BFLAG: S flag birthdate missings
S9BFLAG: S flag birthdate missings
S10BFLAG: S flag birthdate missings
S11BFLAG: S flag birthdate missings
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
RABDATE
RABDATE: R birth date
Cont
1
2
3
4
5
6
7
8
9
10
11
S1BDATE
S2BDATE
S3BDATE
S4BDATE
S5BDATE
S6BDATE
S7BDATE
S8BDATE
S9BDATE
S10BDATE
S11BDATE
S1BDATE: S birth date
S2BDATE: S birth date
S3BDATE: S birth date
S4BDATE: S birth date
S5BDATE: S birth date
S6BDATE: S birth date
S7BDATE: S birth date
S8BDATE: S birth date
S9BDATE: S birth date
S10BDATE: S birth date
S11BDATE: S birth date
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Section A: Demographics, Identifiers, and Weights
107
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
RABYEAR
37317
1937.31
15.05
1890.0
1992.0
S1BYEAR
S2BYEAR
S3BYEAR
S4BYEAR
S5BYEAR
S6BYEAR
S7BYEAR
S8BYEAR
S9BYEAR
S10BYEAR
S11BYEAR
10279
13583
12254
14507
13040
11858
13352
12034
11011
14238
13080
1936.58
1930.77
1931.56
1933.94
1934.72
1935.58
1939.26
1939.82
1940.53
1946.18
1946.76
6.13
10.51
10.13
10.17
9.79
9.41
10.51
10.16
9.95
11.18
10.82
1907.0
1890.0
1898.0
1900.0
1900.0
1900.0
1900.0
1907.0
1909.0
1912.0
1912.0
1969.0
1971.0
1974.0
1973.0
1976.0
1980.0
1976.0
1983.0
1986.0
1992.0
1992.0
RABMONTH
37318
6.55
3.43
1.0
12.0
S1BMONTH
S2BMONTH
S3BMONTH
S4BMONTH
S5BMONTH
S6BMONTH
S7BMONTH
S8BMONTH
S9BMONTH
S10BMONTH
S11BMONTH
10279
13583
12254
14507
13040
11858
13352
12034
11011
14238
13081
6.46
6.46
6.46
6.52
6.52
6.52
6.55
6.56
6.56
6.60
6.59
3.41
3.41
3.41
3.42
3.41
3.40
3.40
3.40
3.40
3.41
3.41
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
RABFLAG
37319
0.00
0.04
0.0
3.0
S1BFLAG
S2BFLAG
S3BFLAG
S4BFLAG
S5BFLAG
S6BFLAG
S7BFLAG
S8BFLAG
S9BFLAG
S10BFLAG
S11BFLAG
10279
13608
12276
14511
13041
11858
13352
12051
11011
14238
13081
0.00
0.01
0.01
0.01
0.00
0.00
0.00
0.01
0.01
0.01
0.01
0.03
0.13
0.13
0.09
0.04
0.06
0.07
0.07
0.08
0.09
0.11
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
3.0
3.0
3.0
3.0
1.0
1.0
1.0
1.0
1.0
2.0
RABDATE
37317
-8105.09
5499.08
-25371.0
11823.0
S1BDATE
S2BDATE
S3BDATE
S4BDATE
S5BDATE
S6BDATE
S7BDATE
S8BDATE
S9BDATE
S10BDATE
S11BDATE
10279
13583
12254
14507
13040
11858
13352
12034
11011
14238
13080
-8376.14
-10497.55
-10206.63
-9336.51
-9051.93
-8738.33
-7394.30
-7189.19
-6927.15
-4863.59
-4650.61
2239.58
3837.38
3699.97
3715.46
3575.83
3435.43
3841.51
3714.13
3635.06
4086.34
3951.95
-19313.0
-25371.0
-22599.0
-21900.0
-21900.0
-21900.0
-21900.0
-19313.0
-18309.0
-17213.0
-17213.0
3361.0
4032.0
5340.0
4883.0
6102.0
7440.0
6102.0
8658.0
9678.0
11823.0
11823.0
Categorical Variable Codes
Section A: Demographics, Identifiers, and Weights
108
Value----------------------|RABFLAG
0.Mo/Yr OK
|37265
1.Mo missing
|52
2.Yr missing
|1
3.Mo/Yr missing
|1
Value----------------------|S1BFLAG
.U=Unmar
|2373
.V=Sp NR
|
0.Mo/Yr OK
|10268
1.Mo missing
|11
2.Yr missing
|
3.Mo/Yr missing
|
S2BFLAG
5970
64
13570
13
S3BFLAG
5658
57
12240
14
S4BFLAG
6869
4
14433
74
S5BFLAG
6538
25
22
4
1
13024
16
S6BFLAG
6306
1
11810
48
S7BFLAG
6777
13288
64
S8BFLAG
6417
1
11989
62
S9BFLAG
6206
10938
73
S10BFLAG
7795
1
14124
114
S11BFLAG
7473
12930
150
1
How Constructed:
RABMONTH and RABYEAR are the respondent’s reported birth month and year, respectively. RABDATE is the
SAS date format of the birth date. The SAS date format is the number of days since 1/1/1960. If a date
is before 1960 the SAS date is a negative number. If after 1960 it is a positive number.
The respondent birth date is derived by searching all waves of data and Tracker for a non-missing date.
The first non-missing birth month is used beginning with the Tracker BIRTHMO and BIRTHYR, and then the
core data from Wave 1 forward, consecutively.
To calculate RABDATE, a day must also be used. If the birth month is given, the 15th is used as the day.
If the month is missing but year is given, the day is July 1st and RABMONTH is set to 7. If the year is
missing, birth date is missing. RABFLAG indicates if the birth month is missing.
Spouse birth date is taken from the Wave 'w' spouse's self-reported birth date, i.e., from the spouse's
RABMONTH, RABYEAR, and RABDATE. If the spouse never responded, then the birth month and year of spouse
as reported by the respondent in Wave 'w' is used.
HRS Variables Used
HRS 1992:
V42
V44
AHEAD 1993:
B114
HRS 1994:
W212
W53
AHEAD 1995:
D636
D638
HRS 1996:
E636
E638
HRS 1998:
F488
F685
F968
F970
HRS 2000:
G1051
G1053
G520
G756
HRS 2002:
HX004_R
HX067_R
HRS 2004:
JX004_R
JX067_R
HRS 2006:
R:BIRTHDATE:MONTH
R:BIRTHDATE:YEAR
A1. BIRTH YEAR
A11. R:Birthdate:Month
Year of Birth
A1. BIRTHDATE MONTH
A1B. BIRTHDATE YEAR
A1.BIRTHDATE MONTH
A1B.BIRTHDATE YEAR
CS2A.R BIRTHDATE
R BIRTH YEAR
A1.BIRTHDATE MONTH
A1B.BIRTHDATE YEAR
A1.BIRTHDATE MONTH
A1B.BIRTHDATE YEAR
CS2A.R BIRTHDATE
CS22Y33.R BIRTH YEAR TE
R MONTH BORN-UPDATED
YEAR BORN-UPDATED
R MONTH BORN-UPDATED
YEAR BORN-UPDATED - R
Section A: Demographics, Identifiers, and Weights
KX004_R
KX067_R
HRS 2008:
LX004_R
LX067_R
HRS 2010:
MX004_R
MX067_R
HRS 2012:
NX004_R
NX067_R
Tracker:
BIRTHMO
BIRTHYR
R MONTH BORN-UPDATED
YEAR BORN-UPDATED - R
R MONTH BORN-UPDATED
YEAR BORN-UPDATED - R
R MONTH BORN-UPDATED
YEAR BORN-UPDATED
R MONTH BORN-UPDATED
YEAR BORN-UPDATED
BIRTHDATE: MONTH
BIRTHDATE: YEAR
109
Section A: Demographics, Identifiers, and Weights
110
Death date: Month, Year, and SAS date
Wave
Variable
Label
Type
1
RADYEAR
RADYEAR: R death year
Cont
1
2
3
4
5
6
7
8
9
10
11
S1DYEAR
S2DYEAR
S3DYEAR
S4DYEAR
S5DYEAR
S6DYEAR
S7DYEAR
S8DYEAR
S9DYEAR
S10DYEAR
S11DYEAR
S1DYEAR: S death year
S2DYEAR: S death year
S3DYEAR: S death year
S4DYEAR: S death year
S5DYEAR: S death year
S6DYEAR: S death year
S7DYEAR: S death year
S8DYEAR: S death year
S9DYEAR: S death year
S10DYEAR: S death year
S11DYEAR: S death year
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
RADMONTH
RADMONTH: R death month
Cont
1
2
3
4
5
6
7
8
9
10
11
S1DMONTH
S2DMONTH
S3DMONTH
S4DMONTH
S5DMONTH
S6DMONTH
S7DMONTH
S8DMONTH
S9DMONTH
S10DMONTH
S11DMONTH
S1DMONTH: S death month
S2DMONTH: S death month
S3DMONTH: S death month
S4DMONTH: S death month
S5DMONTH: S death month
S6DMONTH: S death month
S7DMONTH: S death month
S8DMONTH: S death month
S9DMONTH: S death month
S10DMONTH: S death month
S11DMONTH: S death month
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
RADDATE
RADDATE: R death date
Cont
1
2
3
4
5
6
7
8
9
10
11
S1DDATE
S2DDATE
S3DDATE
S4DDATE
S5DDATE
S6DDATE
S7DDATE
S8DDATE
S9DDATE
S10DDATE
S11DDATE
S1DDATE: S death date
S2DDATE: S death date
S3DDATE: S death date
S4DDATE: S death date
S5DDATE: S death date
S6DDATE: S death date
S7DDATE: S death date
S8DDATE: S death date
S9DDATE: S death date
S10DDATE: S death date
S11DDATE: S death date
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
RANYEAR
RANYEAR: R NDI death year
Cont
1
2
3
4
5
6
7
8
9
10
11
S1NYEAR
S2NYEAR
S3NYEAR
S4NYEAR
S5NYEAR
S6NYEAR
S7NYEAR
S8NYEAR
S9NYEAR
S10NYEAR
S11NYEAR
S1NYEAR: S NDI death year
S2NYEAR: S NDI death year
S3NYEAR: S NDI death year
S4NYEAR: S NDI death year
S5NYEAR: S NDI death year
S6NYEAR: S NDI death year
S7NYEAR: S NDI death year
S8NYEAR: S NDI death year
S9NYEAR: S NDI death year
S10NYEAR: S NDI death year
S11NYEAR: S NDI death year
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
RANMONTH
RANMONTH: R NDI death month
Cont
Section A: Demographics, Identifiers, and Weights
111
1
2
3
4
5
6
7
8
9
10
11
S1NMONTH
S2NMONTH
S3NMONTH
S4NMONTH
S5NMONTH
S6NMONTH
S7NMONTH
S8NMONTH
S9NMONTH
S10NMONTH
S11NMONTH
S1NMONTH: S NDI death month
S2NMONTH: S NDI death month
S3NMONTH: S NDI death month
S4NMONTH: S NDI death month
S5NMONTH: S NDI death month
S6NMONTH: S NDI death month
S7NMONTH: S NDI death month
S8NMONTH: S NDI death month
S9NMONTH: S NDI death month
S10NMONTH: S NDI death month
S11NMONTH: S NDI death month
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
RANDATE
RANDATE: R NDI death date
Cont
1
2
3
4
5
6
7
8
9
10
11
S1NDATE
S2NDATE
S3NDATE
S4NDATE
S5NDATE
S6NDATE
S7NDATE
S8NDATE
S9NDATE
S10NDATE
S11NDATE
S1NDATE: S NDI death date
S2NDATE: S NDI death date
S3NDATE: S NDI death date
S4NDATE: S NDI death date
S5NDATE: S NDI death date
S6NDATE: S NDI death date
S7NDATE: S NDI death date
S8NDATE: S NDI death date
S9NDATE: S NDI death date
S10NDATE: S NDI death date
S11NDATE: S NDI death date
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
RADDATEF
RADDATEF: R flag death date and interview discrepancy
Categ
1
2
3
4
5
6
7
8
9
10
11
S1DDATEF
S2DDATEF
S3DDATEF
S4DDATEF
S5DDATEF
S6DDATEF
S7DDATEF
S8DDATEF
S9DDATEF
S10DDATEF
S11DDATEF
S1DDATEF: S flag death date and interview discrepancy
S2DDATEF: S flag death date and interview discrepancy
S3DDATEF: S flag death date and interview discrepancy
S4DDATEF: S flag death date and interview discrepancy
S5DDATEF: S flag death date and interview discrepancy
S6DDATEF: S flag death date and interview discrepancy
S7DDATEF: S flag death date and interview discrepancy
S8DDATEF: S flag death date and interview discrepancy
S9DDATEF: S flag death date and interview discrepancy
S10DDATEF: S flag death date and interview discrepancy
S11DDATEF: S flag death date and interview discrepancy
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
RANDATEF
RANDATEF: R NDI flag death date and interview discrepancy
Categ
1
2
3
4
5
6
7
8
9
10
11
S1NDATEF
S2NDATEF
S3NDATEF
S4NDATEF
S5NDATEF
S6NDATEF
S7NDATEF
S8NDATEF
S9NDATEF
S10NDATEF
S11NDATEF
S1NDATEF: S NDI flag death date and interview discrepancy
S2NDATEF: S NDI flag death date and interview discrepancy
S3NDATEF: S NDI flag death date and interview discrepancy
S4NDATEF: S NDI flag death date and interview discrepancy
S5NDATEF: S NDI flag death date and interview discrepancy
S6NDATEF: S NDI flag death date and interview discrepancy
S7NDATEF: S NDI flag death date and interview discrepancy
S8NDATEF: S NDI flag death date and interview discrepancy
S9NDATEF: S NDI flag death date and interview discrepancy
S10NDATEF: S NDI flag death date and interview discrepancy
S11NDATEF: S NDI flag death date and interview discrepancy
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
RADYEAR
11409
2003.16
5.20
1992.0
2013.0
S1DYEAR
S2DYEAR
2535
5640
2004.23
2003.08
5.18
5.29
1992.0
1992.0
2013.0
2013.0
Section A: Demographics, Identifiers, and Weights
112
S3DYEAR
S4DYEAR
S5DYEAR
S6DYEAR
S7DYEAR
S8DYEAR
S9DYEAR
S10DYEAR
S11DYEAR
4723
4608
3701
2886
2351
1670
1047
488
17
2004.03
2005.25
2006.28
2007.35
2008.21
2009.21
2010.13
2011.22
2011.41
4.76
4.14
3.53
2.89
2.42
1.81
1.27
0.72
1.97
1995.0
1998.0
2000.0
2002.0
2002.0
2004.0
2006.0
2008.0
2004.0
2013.0
2013.0
2013.0
2013.0
2013.0
2013.0
2013.0
2013.0
2013.0
RADMONTH
11339
6.46
3.53
1.0
12.0
2526
5615
4701
4586
3682
2870
2337
1662
1041
485
17
6.54
6.47
6.47
6.51
6.50
6.50
6.56
6.49
6.47
6.13
7.12
3.54
3.53
3.53
3.54
3.54
3.54
3.54
3.51
3.51
3.49
3.00
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
11.0
11409
15958.32
1899.05
11961.0
19448.0
2535
5640
4723
4608
3701
2886
2351
1670
1047
488
17
16351.42
15932.19
16278.72
16725.63
17099.41
17491.44
17805.82
18170.63
18507.26
18892.17
18993.76
1887.90
1928.99
1734.71
1505.05
1283.32
1047.32
871.21
648.29
445.49
232.68
731.62
11961.0
11747.0
13117.0
13938.0
14669.0
15491.0
15371.0
16405.0
17044.0
17866.0
16252.0
19417.0
19417.0
19448.0
19417.0
19417.0
19417.0
19417.0
19389.0
19389.0
19389.0
19389.0
12079
2002.67
5.09
1992.0
2011.0
S1NYEAR
S2NYEAR
S3NYEAR
S4NYEAR
S5NYEAR
S6NYEAR
S7NYEAR
S8NYEAR
S9NYEAR
S10NYEAR
S11NYEAR
2887
5839
4814
4578
3588
2711
2142
1455
851
278
5
2003.29
2002.86
2003.75
2004.90
2005.88
2006.97
2007.79
2008.77
2009.72
2010.76
2009.60
5.38
5.06
4.53
3.92
3.34
2.68
2.21
1.64
1.03
0.49
3.13
1992.0
1993.0
1994.0
1994.0
1994.0
2000.0
1992.0
1992.0
2006.0
2008.0
2004.0
2011.0
2011.0
2011.0
2011.0
2011.0
2011.0
2011.0
2011.0
2011.0
2011.0
2011.0
RANMONTH
12079
6.52
3.53
1.0
12.0
S1NMONTH
S2NMONTH
S3NMONTH
S4NMONTH
S5NMONTH
S6NMONTH
S7NMONTH
S8NMONTH
S9NMONTH
2887
5839
4814
4578
3588
2711
2142
1455
851
6.64
6.54
6.54
6.62
6.62
6.66
6.77
6.75
6.86
3.52
3.53
3.53
3.53
3.55
3.53
3.53
3.48
3.46
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
S1DMONTH
S2DMONTH
S3DMONTH
S4DMONTH
S5DMONTH
S6DMONTH
S7DMONTH
S8DMONTH
S9DMONTH
S10DMONTH
S11DMONTH
RADDATE
S1DDATE
S2DDATE
S3DDATE
S4DDATE
S5DDATE
S6DDATE
S7DDATE
S8DDATE
S9DDATE
S10DDATE
S11DDATE
RANYEAR
Section A: Demographics, Identifiers, and Weights
S10NMONTH
S11NMONTH
113
278
5
7.10
6.00
3.38
1.41
1.0
4.0
12.0
8.0
12079
15780.54
1859.42
11839.0
18992.0
S1NDATE
S2NDATE
S3NDATE
S4NDATE
S5NDATE
S6NDATE
S7NDATE
S8NDATE
S9NDATE
S10NDATE
S11NDATE
2887
5839
4814
4578
3588
2711
2142
1455
851
278
5
16014.04
15853.79
16177.91
16599.82
16957.68
17357.16
17661.60
18018.72
18367.31
18754.39
18297.00
1963.82
1848.60
1654.98
1428.15
1216.13
976.74
804.04
594.89
373.27
171.82
1144.02
11839.0
12387.0
12661.0
12661.0
12661.0
14853.0
12022.0
12022.0
17044.0
17866.0
16252.0
18992.0
18992.0
18992.0
18992.0
18992.0
18992.0
18992.0
18992.0
18992.0
18992.0
18870.0
RADDATEF
12454
0.76
2.50
0.0
9.0
2906
5925
4984
4845
3901
3019
2458
1749
1111
527
20
1.19
0.52
0.49
0.46
0.48
0.40
0.40
0.43
0.53
0.70
1.35
3.05
2.10
2.04
1.99
2.03
1.86
1.86
1.91
2.13
2.41
3.30
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
12949
0.90
2.65
0.0
9.0
3139
6179
5158
4955
3951
3039
2476
1761
1117
529
20
1.35
0.88
0.88
0.88
0.94
1.03
1.26
1.61
2.16
4.27
6.75
3.12
2.62
2.62
2.64
2.74
2.85
3.12
3.44
3.85
4.50
4.00
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
RANDATE
S1DDATEF
S2DDATEF
S3DDATEF
S4DDATEF
S5DDATEF
S6DDATEF
S7DDATEF
S8DDATEF
S9DDATEF
S10DDATEF
S11DDATEF
RANDATEF
S1NDATEF
S2NDATEF
S3NDATEF
S4NDATEF
S5NDATEF
S6NDATEF
S7NDATEF
S8NDATEF
S9NDATEF
S10NDATEF
S11NDATEF
Categorical Variable Codes
Value----------------------|RADDATEF
.M=Missing death year
|15
.X=No death date
|24850
0.Death after last live IW |11400
2.Death dt bef last live IW|1
3.Date betw last IW beg/end|6
8.DthDt aft last IW-maybe d|2
9.R died but no death date |1045
Value----------------------|S1DDATEF
.M=Missing death year
|5
.N=no live interivew
|14
.U=Unmar
|2373
.V=Sp NR
|
.X=No death date
|7354
0.Death after last live IW |2520
3.Date betw last IW beg/end|1
8.DthDt aft last IW-maybe d|
9.R died but no death date |385
S2DDATEF
6
56
5970
64
7621
5581
3
341
S3DDATEF
4
10
5658
65
7270
4710
2
1
271
S4DDATEF
3
11
6869
62
9594
4596
S5DDATEF
2
8
6538
34
9096
3692
S6DDATEF
1
2
6306
37
8800
2884
S7DDATEF
1
3
6777
45
10845
2348
S8DDATEF
1
4
6417
51
10247
1666
S9DDATEF
1
2
6206
58
9839
1045
S10DDATEF S11DDATEF
2
7795
88
13622
486
7473
94
12967
17
1
248
1
208
135
110
83
66
41
3
Section A: Demographics, Identifiers, and Weights
114
Value----------------------|RANDATEF
.X=No death date
|24370
0.Death after last live IW |11593
3.Date betw last IW beg/end|4
8.DthDt aft last IW-maybe d|482
9.R died but no death date |870
Value----------------------|S1NDATEF
.N=no live interivew
|15
.U=Unmar
|2373
.V=Sp NR
|
.X=No death date
|7125
0.Death after last live IW |2642
3.Date betw last IW beg/end|1
8.DthDt aft last IW-maybe d|229
9.R died but no death date |267
S2NDATEF
50
5970
64
7379
5544
3
242
390
S3NDATEF
8
5658
64
7103
4636
2
168
352
S4NDATEF
11
6869
62
9487
4459
S5NDATEF
8
6538
34
9048
3531
S6NDATEF
2
6306
37
8781
2690
S7NDATEF S8NDATEF
1
6777
6417
45
51
10831
10239
2128
1446
S9NDATEF
S10NDATEF S11NDATEF
6206
58
9836
848
7795
88
13622
278
7473
94
12967
5
108
388
49
371
19
330
14
334
3
266
251
15
8
307
How Constructed:
The death dates are taken directly from the Tracker file. RANYEAR, RANMONTH and RANDATE are the National
Death Index (NDI) dates, and RADYEAR, RADMONTH, and RADDATE are the dates ascertained by HRS and
populated by either the NDI,DMF or exit interview year of death information. RADDATE and RANDATE are the
SAS date format of the Death date. The SAS date format is the number of days since 1/1/1960. If a date
is before 1960 the SAS date is a negative number. If after 1960 it is a positive number.
To calculate RADDATE and RANDATE, a day must also be used. If the death month is given, the last day of
the month is used as the day. If the month is missing but year is given, and the year is the same as the
last live interview, the month and day are set using the mean date between the last interview date and
the last day of the year. Otherwise if the month is missing, the death date is set to July 1st of the
death year. If the year is missing, death date is missing.
The RADDATEF and RANDATEF flags indicate discrepancies between the interview date and the HRS and NDI
death dates, respectively (RADDATE/RANDATE). The flags are assigned a value of 0 if the death date is
after their last live interview. They are assigned a value of 1 if there is a death date but they are
not reported as deceased in the Tracker file (RwIWSTAT is not 5 or 6 in any wave) and the death date
falls before their last live interview. If the death date is before the begin date of the last interview
(RwIWBEG), the flags are assigned a value of 2. If it falls between the begin and end interview dates,
the flags are set to 3. If there is a death date that falls after their last live interview and they are
not reported as deceased in the Tracker file (RwIWSTAT=5 or 6), the respondent may be deceased and the
flag is assigned a value of 8. If R has died (RwIWSTAT is 5 or 6) and no death date is given, the flag is
set to 9. If there is no death date, a missing code of .X is assigned to the month, year, and date of
death.
RADYEAR/RANYEAR and RADMONTH/RANMONTH are the year and month of death, not in SAS date format.
Spouse death date is taken from the Wave 'w' spouse's death date, i.e., from the spouse's RADDATE.
HRS Variables Used
Tracker:
DTHMONTH
DTHYEAR
Tracker:
NMONTH
NYEAR
NDI MONTH OF DEATH
NDI YEAR OF DEATH
Section A: Demographics, Identifiers, and Weights
115
Age at interview (in months and years)
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1AGEM_B
R2AGEM_B
R3AGEM_B
R4AGEM_B
R5AGEM_B
R6AGEM_B
R7AGEM_B
R8AGEM_B
R9AGEM_B
R10AGEM_B
R11AGEM_B
R1AGEM_B:W1 R
R2AGEM_B:W2 R
R3AGEM_B:W3 R
R4AGEM_B:W4 R
R5AGEM_B:W5 R
R6AGEM_B:W6 R
R7AGEM_B:W7 R
R8AGEM_B:W8 R
R9AGEM_B:W9 R
R10AGEM_B:W10
R11AGEM_B:W11
Age (months) at Ivw BegMon
Age (months) at Ivw BegMon
Age (months) at Ivw BegMon
Age (months) at Ivw BegMon
Age (months) at Ivw BegMon
Age (months) at Ivw BegMon
Age (months) at Ivw BegMon
Age (months) at Ivw BegMon
Age (months) at Ivw BegMon
R Age (months) at Ivw BegMon
R Age (months) at Ivw BegMon
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1AGEM_B
S2AGEM_B
S3AGEM_B
S4AGEM_B
S5AGEM_B
S6AGEM_B
S7AGEM_B
S8AGEM_B
S9AGEM_B
S10AGEM_B
S11AGEM_B
S1AGEM_B:W1 S
S2AGEM_B:W2 S
S3AGEM_B:W3 S
S4AGEM_B:W4 S
S5AGEM_B:W5 S
S6AGEM_B:W6 S
S7AGEM_B:W7 S
S8AGEM_B:W8 S
S9AGEM_B:W9 S
S10AGEM_B:W10
S11AGEM_B:W11
Age (months) at Ivw BegMon
Age (months) at Ivw BegMon
Age (months) at Ivw BegMon
Age (months) at Ivw BegMon
Age (months) at Ivw BegMon
Age (months) at Ivw BegMon
Age (months) at Ivw BegMon
Age (months) at Ivw BegMon
Age (months) at Ivw BegMon
S Age (months) at Ivw BegMon
S Age (months) at Ivw BegMon
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
R1AGEY_B
R2AGEY_B
R3AGEY_B
R4AGEY_B
R5AGEY_B
R6AGEY_B
R7AGEY_B
R8AGEY_B
R9AGEY_B
R10AGEY_B
R11AGEY_B
R1AGEY_B:W1 R
R2AGEY_B:W2 R
R3AGEY_B:W3 R
R4AGEY_B:W4 R
R5AGEY_B:W5 R
R6AGEY_B:W6 R
R7AGEY_B:W7 R
R8AGEY_B:W8 R
R9AGEY_B:W9 R
R10AGEY_B:W10
R11AGEY_B:W11
Age (years) at Ivw BegMon
Age (years) at Ivw BegMon
Age (years) at Ivw BegMon
Age (years) at Ivw BegMon
Age (years) at Ivw BegMon
Age (years) at Ivw BegMon
Age (years) at Ivw BegMon
Age (years) at Ivw BegMon
Age (years) at Ivw BegMon
R Age (years) at Ivw BegMon
R Age (years) at Ivw BegMon
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1AGEY_B
S2AGEY_B
S3AGEY_B
S4AGEY_B
S5AGEY_B
S6AGEY_B
S7AGEY_B
S8AGEY_B
S9AGEY_B
S10AGEY_B
S11AGEY_B
S1AGEY_B:W1 S
S2AGEY_B:W2 S
S3AGEY_B:W3 S
S4AGEY_B:W4 S
S5AGEY_B:W5 S
S6AGEY_B:W6 S
S7AGEY_B:W7 S
S8AGEY_B:W8 S
S9AGEY_B:W9 S
S10AGEY_B:W10
S11AGEY_B:W11
Age (years) at Ivw BegMon
Age (years) at Ivw BegMon
Age (years) at Ivw BegMon
Age (years) at Ivw BegMon
Age (years) at Ivw BegMon
Age (years) at Ivw BegMon
Age (years) at Ivw BegMon
Age (years) at Ivw BegMon
Age (years) at Ivw BegMon
S Age (years) at Ivw BegMon
S Age (years) at Ivw BegMon
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
R1AGEM_E
R2AGEM_E
R3AGEM_E
R4AGEM_E
R5AGEM_E
R6AGEM_E
R7AGEM_E
R8AGEM_E
R9AGEM_E
R1AGEM_E:W1
R2AGEM_E:W2
R3AGEM_E:W3
R4AGEM_E:W4
R5AGEM_E:W5
R6AGEM_E:W6
R7AGEM_E:W7
R8AGEM_E:W8
R9AGEM_E:W9
Age
Age
Age
Age
Age
Age
Age
Age
Age
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
R
R
R
R
R
R
R
R
R
(months)
(months)
(months)
(months)
(months)
(months)
(months)
(months)
(months)
at
at
at
at
at
at
at
at
at
Ivw
Ivw
Ivw
Ivw
Ivw
Ivw
Ivw
Ivw
Ivw
EndMon
EndMon
EndMon
EndMon
EndMon
EndMon
EndMon
EndMon
EndMon
Section A: Demographics, Identifiers, and Weights
116
10
11
R10AGEM_E
R11AGEM_E
R10AGEM_E:W10 R Age (months) at Ivw EndMon
R11AGEM_E:W11 R Age (months) at Ivw EndMon
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1AGEM_E
S2AGEM_E
S3AGEM_E
S4AGEM_E
S5AGEM_E
S6AGEM_E
S7AGEM_E
S8AGEM_E
S9AGEM_E
S10AGEM_E
S11AGEM_E
S1AGEM_E:W1 S
S2AGEM_E:W2 S
S3AGEM_E:W3 S
S4AGEM_E:W4 S
S5AGEM_E:W5 S
S6AGEM_E:W6 S
S7AGEM_E:W7 S
S8AGEM_E:W8 S
S9AGEM_E:W9 S
S10AGEM_E:W10
S11AGEM_E:W11
Age (months) at Ivw EndMon
Age (months) at Ivw EndMon
Age (months) at Ivw EndMon
Age (months) at Ivw EndMon
Age (months) at Ivw EndMon
Age (months) at Ivw EndMon
Age (months) at Ivw EndMon
Age (months) at Ivw EndMon
Age (months) at Ivw EndMon
S Age (months) at Ivw EndMon
S Age (months) at Ivw EndMon
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
R1AGEY_E
R2AGEY_E
R3AGEY_E
R4AGEY_E
R5AGEY_E
R6AGEY_E
R7AGEY_E
R8AGEY_E
R9AGEY_E
R10AGEY_E
R11AGEY_E
R1AGEY_E:W1 R
R2AGEY_E:W2 R
R3AGEY_E:W3 R
R4AGEY_E:W4 R
R5AGEY_E:W5 R
R6AGEY_E:W6 R
R7AGEY_E:W7 R
R8AGEY_E:W8 R
R9AGEY_E:W9 R
R10AGEY_E:W10
R11AGEY_E:W11
Age (years) at Ivw EndMon
Age (years) at Ivw EndMon
Age (years) at Ivw EndMon
Age (years) at Ivw EndMon
Age (years) at Ivw EndMon
Age (years) at Ivw EndMon
Age (years) at Ivw EndMon
Age (years) at Ivw EndMon
Age (years) at Ivw EndMon
R Age (years) at Ivw EndMon
R Age (years) at Ivw EndMon
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1AGEY_E
S2AGEY_E
S3AGEY_E
S4AGEY_E
S5AGEY_E
S6AGEY_E
S7AGEY_E
S8AGEY_E
S9AGEY_E
S10AGEY_E
S11AGEY_E
S1AGEY_E:W1 S
S2AGEY_E:W2 S
S3AGEY_E:W3 S
S4AGEY_E:W4 S
S5AGEY_E:W5 S
S6AGEY_E:W6 S
S7AGEY_E:W7 S
S8AGEY_E:W8 S
S9AGEY_E:W9 S
S10AGEY_E:W10
S11AGEY_E:W11
Age (years) at Ivw EndMon
Age (years) at Ivw EndMon
Age (years) at Ivw EndMon
Age (years) at Ivw EndMon
Age (years) at Ivw EndMon
Age (years) at Ivw EndMon
Age (years) at Ivw EndMon
Age (years) at Ivw EndMon
Age (years) at Ivw EndMon
S Age (years) at Ivw EndMon
S Age (years) at Ivw EndMon
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
R1AGEM_M
R2AGEM_M
R3AGEM_M
R4AGEM_M
R5AGEM_M
R6AGEM_M
R7AGEM_M
R8AGEM_M
R9AGEM_M
R10AGEM_M
R11AGEM_M
R1AGEM_M:W1 R
R2AGEM_M:W2 R
R3AGEM_M:W3 R
R4AGEM_M:W4 R
R5AGEM_M:W5 R
R6AGEM_M:W6 R
R7AGEM_M:W7 R
R8AGEM_M:W8 R
R9AGEM_M:W9 R
R10AGEM_M:W10
R11AGEM_M:W11
Age (months) at Ivw MidMon
Age (months) at Ivw MidMon
Age (months) at Ivw MidMon
Age (months) at Ivw MidMon
Age (months) at Ivw MidMon
Age (months) at Ivw MidMon
Age (months) at Ivw MidMon
Age (months) at Ivw MidMon
Age (months) at Ivw MidMon
R Age (months) at Ivw MidMon
R Age (months) at Ivw MidMon
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1AGEM_M
S2AGEM_M
S3AGEM_M
S4AGEM_M
S5AGEM_M
S6AGEM_M
S7AGEM_M
S8AGEM_M
S9AGEM_M
S10AGEM_M
S11AGEM_M
S1AGEM_M:W1 S
S2AGEM_M:W2 S
S3AGEM_M:W3 S
S4AGEM_M:W4 S
S5AGEM_M:W5 S
S6AGEM_M:W6 S
S7AGEM_M:W7 S
S8AGEM_M:W8 S
S9AGEM_M:W9 S
S10AGEM_M:W10
S11AGEM_M:W11
Age (months) at Ivw MidMon
Age (months) at Ivw MidMon
Age (months) at Ivw MidMon
Age (months) at Ivw MidMon
Age (months) at Ivw MidMon
Age (months) at Ivw MidMon
Age (months) at Ivw MidMon
Age (months) at Ivw MidMon
Age (months) at Ivw MidMon
S Age (months) at Ivw MidMon
S Age (months) at Ivw MidMon
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Section A: Demographics, Identifiers, and Weights
117
1
2
3
4
5
6
7
8
9
10
11
R1AGEY_M
R2AGEY_M
R3AGEY_M
R4AGEY_M
R5AGEY_M
R6AGEY_M
R7AGEY_M
R8AGEY_M
R9AGEY_M
R10AGEY_M
R11AGEY_M
R1AGEY_M:W1 R
R2AGEY_M:W2 R
R3AGEY_M:W3 R
R4AGEY_M:W4 R
R5AGEY_M:W5 R
R6AGEY_M:W6 R
R7AGEY_M:W7 R
R8AGEY_M:W8 R
R9AGEY_M:W9 R
R10AGEY_M:W10
R11AGEY_M:W11
Age (years) at Ivw MidMon
Age (years) at Ivw MidMon
Age (years) at Ivw MidMon
Age (years) at Ivw MidMon
Age (years) at Ivw MidMon
Age (years) at Ivw MidMon
Age (years) at Ivw MidMon
Age (years) at Ivw MidMon
Age (years) at Ivw MidMon
R Age (years) at Ivw MidMon
R Age (years) at Ivw MidMon
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1AGEY_M
S2AGEY_M
S3AGEY_M
S4AGEY_M
S5AGEY_M
S6AGEY_M
S7AGEY_M
S8AGEY_M
S9AGEY_M
S10AGEY_M
S11AGEY_M
S1AGEY_M:W1 S
S2AGEY_M:W2 S
S3AGEY_M:W3 S
S4AGEY_M:W4 S
S5AGEY_M:W5 S
S6AGEY_M:W6 S
S7AGEY_M:W7 S
S8AGEY_M:W8 S
S9AGEY_M:W9 S
S10AGEY_M:W10
S11AGEY_M:W11
Age (years) at Ivw MidMon
Age (years) at Ivw MidMon
Age (years) at Ivw MidMon
Age (years) at Ivw MidMon
Age (years) at Ivw MidMon
Age (years) at Ivw MidMon
Age (years) at Ivw MidMon
Age (years) at Ivw MidMon
Age (years) at Ivw MidMon
S Age (years) at Ivw MidMon
S Age (years) at Ivw MidMon
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1AGEM_B
R2AGEM_B
R3AGEM_B
R4AGEM_B
R5AGEM_B
R6AGEM_B
R7AGEM_B
R8AGEM_B
R9AGEM_B
R10AGEM_B
R11AGEM_B
12651
19641
17991
21384
19579
18165
20129
18469
17217
22034
20553
668.60
787.14
801.76
796.78
811.08
825.93
804.31
821.40
835.90
793.34
807.69
67.94
137.16
133.54
133.24
130.02
125.88
137.86
133.15
129.06
143.55
139.03
278.0
285.0
264.0
305.0
284.0
308.0
296.0
305.0
301.0
227.0
244.0
1025.0
1243.0
1265.0
1264.0
1292.0
1316.0
1289.0
1255.0
1280.0
1308.0
1244.0
S1AGEM_B
S2AGEM_B
S3AGEM_B
S4AGEM_B
S5AGEM_B
S6AGEM_B
S7AGEM_B
S8AGEM_B
S9AGEM_B
S10AGEM_B
S11AGEM_B
10279
13583
12254
14507
13040
11858
13352
12034
11011
14238
13080
667.43
757.42
772.08
768.13
781.89
797.46
776.86
794.19
809.08
769.77
784.27
73.56
123.76
119.17
121.29
117.34
112.75
125.65
121.49
119.21
133.89
129.27
278.0
285.0
263.0
304.0
282.0
269.0
331.0
274.0
270.0
226.0
244.0
1025.0
1243.0
1177.0
1185.0
1203.0
1227.0
1250.0
1191.0
1185.0
1178.0
1196.0
R1AGEY_B
R2AGEY_B
R3AGEY_B
R4AGEY_B
R5AGEY_B
R6AGEY_B
R7AGEY_B
R8AGEY_B
R9AGEY_B
R10AGEY_B
R11AGEY_B
12651
19641
17991
21384
19579
18165
20129
18469
17217
22034
20553
55.25
65.13
66.35
65.94
67.13
68.37
66.57
67.99
69.20
65.66
66.84
5.67
11.43
11.13
11.11
10.84
10.50
11.49
11.10
10.76
11.97
11.59
23.0
23.0
22.0
25.0
23.0
25.0
24.0
25.0
25.0
18.0
20.0
85.0
103.0
105.0
105.0
107.0
109.0
107.0
104.0
106.0
109.0
103.0
Section A: Demographics, Identifiers, and Weights
118
S1AGEY_B
S2AGEY_B
S3AGEY_B
S4AGEY_B
S5AGEY_B
S6AGEY_B
S7AGEY_B
S8AGEY_B
S9AGEY_B
S10AGEY_B
S11AGEY_B
10279
13583
12254
14507
13040
11858
13352
12034
11011
14238
13080
55.16
62.66
63.88
63.55
64.69
66.00
64.28
65.72
66.96
63.69
64.90
6.14
10.32
9.94
10.11
9.78
9.40
10.47
10.13
9.94
11.16
10.78
23.0
23.0
21.0
25.0
23.0
22.0
27.0
22.0
22.0
18.0
20.0
85.0
103.0
98.0
98.0
100.0
102.0
104.0
99.0
98.0
98.0
99.0
R1AGEM_E
R2AGEM_E
R3AGEM_E
R4AGEM_E
R5AGEM_E
R6AGEM_E
R7AGEM_E
R8AGEM_E
R9AGEM_E
R10AGEM_E
R11AGEM_E
12651
19641
17991
21384
19579
18165
20129
18469
17217
22034
20553
668.62
787.17
801.80
796.84
811.13
825.96
804.31
821.43
835.94
793.40
807.78
67.94
137.14
133.51
133.25
130.03
125.88
137.86
133.14
129.06
143.55
139.02
278.0
285.0
264.0
305.0
284.0
308.0
296.0
305.0
301.0
227.0
244.0
1025.0
1243.0
1265.0
1264.0
1292.0
1316.0
1289.0
1255.0
1280.0
1308.0
1244.0
S1AGEM_E
S2AGEM_E
S3AGEM_E
S4AGEM_E
S5AGEM_E
S6AGEM_E
S7AGEM_E
S8AGEM_E
S9AGEM_E
S10AGEM_E
S11AGEM_E
10279
13583
12254
14507
13040
11858
13352
12034
11011
14238
13080
667.44
757.45
772.12
768.18
781.93
797.49
776.86
794.21
809.11
769.83
784.35
73.56
123.74
119.15
121.29
117.34
112.75
125.65
121.48
119.20
133.88
129.25
278.0
285.0
263.0
304.0
282.0
269.0
331.0
274.0
270.0
226.0
244.0
1025.0
1243.0
1177.0
1185.0
1203.0
1227.0
1250.0
1191.0
1185.0
1178.0
1196.0
R1AGEY_E
R2AGEY_E
R3AGEY_E
R4AGEY_E
R5AGEY_E
R6AGEY_E
R7AGEY_E
R8AGEY_E
R9AGEY_E
R10AGEY_E
R11AGEY_E
12651
19641
17991
21384
19579
18165
20129
18469
17217
22034
20553
55.26
65.14
66.36
65.94
67.13
68.37
66.57
67.99
69.20
65.66
66.85
5.67
11.43
11.13
11.11
10.84
10.50
11.49
11.10
10.76
11.97
11.59
23.0
23.0
22.0
25.0
23.0
25.0
24.0
25.0
25.0
18.0
20.0
85.0
103.0
105.0
105.0
107.0
109.0
107.0
104.0
106.0
109.0
103.0
S1AGEY_E
S2AGEY_E
S3AGEY_E
S4AGEY_E
S5AGEY_E
S6AGEY_E
S7AGEY_E
S8AGEY_E
S9AGEY_E
S10AGEY_E
S11AGEY_E
10279
13583
12254
14507
13040
11858
13352
12034
11011
14238
13080
55.16
62.66
63.89
63.55
64.70
66.00
64.28
65.72
66.96
63.69
64.90
6.14
10.32
9.93
10.11
9.78
9.40
10.47
10.12
9.94
11.16
10.78
23.0
23.0
21.0
25.0
23.0
22.0
27.0
22.0
22.0
18.0
20.0
85.0
103.0
98.0
98.0
100.0
102.0
104.0
99.0
98.0
98.0
99.0
R1AGEM_M
R2AGEM_M
12651
19641
668.61
787.16
67.94
137.15
278.0
285.0
1025.0
1243.0
Section A: Demographics, Identifiers, and Weights
119
R3AGEM_M
R4AGEM_M
R5AGEM_M
R6AGEM_M
R7AGEM_M
R8AGEM_M
R9AGEM_M
R10AGEM_M
R11AGEM_M
17991
21384
19579
18165
20129
18469
17217
22034
20553
801.77
796.80
811.09
825.94
804.31
821.41
835.91
793.36
807.72
133.53
133.25
130.02
125.88
137.86
133.14
129.06
143.55
139.03
264.0
305.0
284.0
308.0
296.0
305.0
301.0
227.0
244.0
1265.0
1264.0
1292.0
1316.0
1289.0
1255.0
1280.0
1308.0
1244.0
S1AGEM_M
S2AGEM_M
S3AGEM_M
S4AGEM_M
S5AGEM_M
S6AGEM_M
S7AGEM_M
S8AGEM_M
S9AGEM_M
S10AGEM_M
S11AGEM_M
10279
13583
12254
14507
13040
11858
13352
12034
11011
14238
13080
667.43
757.44
772.09
768.14
781.89
797.47
776.86
794.19
809.09
769.79
784.29
73.56
123.75
119.16
121.29
117.34
112.75
125.65
121.49
119.21
133.89
129.26
278.0
285.0
263.0
304.0
282.0
269.0
331.0
274.0
270.0
226.0
244.0
1025.0
1243.0
1177.0
1185.0
1203.0
1227.0
1250.0
1191.0
1185.0
1178.0
1196.0
R1AGEY_M
R2AGEY_M
R3AGEY_M
R4AGEY_M
R5AGEY_M
R6AGEY_M
R7AGEY_M
R8AGEY_M
R9AGEY_M
R10AGEY_M
R11AGEY_M
12651
19641
17991
21384
19579
18165
20129
18469
17217
22034
20553
55.26
65.14
66.36
65.94
67.13
68.37
66.57
67.99
69.20
65.66
66.85
5.67
11.43
11.13
11.11
10.84
10.50
11.49
11.10
10.76
11.97
11.59
23.0
23.0
22.0
25.0
23.0
25.0
24.0
25.0
25.0
18.0
20.0
85.0
103.0
105.0
105.0
107.0
109.0
107.0
104.0
106.0
109.0
103.0
S1AGEY_M
S2AGEY_M
S3AGEY_M
S4AGEY_M
S5AGEY_M
S6AGEY_M
S7AGEY_M
S8AGEY_M
S9AGEY_M
S10AGEY_M
S11AGEY_M
10279
13583
12254
14507
13040
11858
13352
12034
11011
14238
13080
55.16
62.66
63.88
63.55
64.69
66.00
64.28
65.72
66.96
63.69
64.90
6.14
10.32
9.93
10.11
9.78
9.40
10.47
10.13
9.94
11.16
10.78
23.0
23.0
21.0
25.0
23.0
22.0
27.0
22.0
22.0
18.0
20.0
85.0
103.0
98.0
98.0
100.0
102.0
104.0
99.0
98.0
98.0
99.0
How Constructed:
Age at the beginning of the interview (RwAGEM_B) is calculated from respondent birthdate and beginning
interview date (RwIWBEG), in months and years. Age in years (RwAGEY_B) is the integer portion of the
number of months old divided by 12.
Age in months and years at the end of the interview (RwAGEM_E and RwAGEY_E) is calculated in the same way
but uses the ending interview date (RwIWEND). Age in months and years at the midpoint between the
beginning and ending interview dates (RwAGEM_M and RwAGEY_M) is calculated in the same way but uses the
midpoint between interview dates (RwIWMID).
According to HRS, when there are different beginning and ending interview dates, most of the interview is
usually conducted on the ending date. Thus it is probably best to use the RwAGEM_E and RwAGEY_E
variables for respondent age at each interview.
Section A: Demographics, Identifiers, and Weights
120
From Wave 6 forward and in Ahead Waves 2A and 3A, the beginning and ending interview dates are always the
same. In those waves, RwAGEY_B, RwAGEY_M, and RwAGEY_E are all the same as are RwAGEM_B, RwAGEM_M and
RwAGEM_E.
See Birth Month (RABMONTH, RABYEAR, RABDATE) for a description of how the birth date is derived. See
Interview Dates (RwIWBEG, RwIWEND, RwIWMID) for a description of how the beginning, ending, and midpoint
interview dates are derived.
Spouse age is calculated using the spouse birth month and R's interview month at each wave.
Spouse birth date is taken from the Wave 'w' spouse's birth date, i.e., from SwBDATE.
Section A: Demographics, Identifiers, and Weights
121
Gender
Wave
Variable
Label
Type
1
RAGENDER
RAGENDER: R Gender
Categ
1
2
3
4
5
6
7
8
9
10
11
S1GENDER
S2GENDER
S3GENDER
S4GENDER
S5GENDER
S6GENDER
S7GENDER
S8GENDER
S9GENDER
S10GENDER
S11GENDER
S1GENDER: S Gender
S2GENDER: S Gender
S3GENDER: S Gender
S4GENDER: S Gender
S5GENDER: S Gender
S6GENDER: S Gender
S7GENDER: S Gender
S8GENDER: S Gender
S9GENDER: S Gender
S10GENDER: S Gender
S11GENDER: S Gender
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
RAGENDER
37319
1.56
0.50
1.0
2.0
S1GENDER
S2GENDER
S3GENDER
S4GENDER
S5GENDER
S6GENDER
S7GENDER
S8GENDER
S9GENDER
S10GENDER
S11GENDER
10279
13628
12299
14515
13041
11822
13307
12001
10953
14151
12960
1.50
1.50
1.50
1.50
1.50
1.50
1.50
1.50
1.50
1.50
1.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
Categorical Variable Codes
Value----------------------|RAGENDER
1.Male
|16346
2.Female
|20973
Value----------------------|S1GENDER
.U=Unmar
|2373
.V=Sp NR
|
1.Male
|5165
2.Female
|5114
S2GENDER
5970
44
6846
6782
S3GENDER
5658
34
6171
6128
S4GENDER S5GENDER S6GENDER
6869
6538
6306
37
7268
6519
5900
7247
6522
5922
S7GENDER
6777
45
6664
6643
S8GENDER
6417
51
5991
6010
S9GENDER
6206
58
5476
5477
S10GENDER
7795
88
7100
7051
S11GENDER
7473
121
6503
6457
How Constructed:
Gender is taken from the Tracker file.
Spouse gender is taken from the Wave 'w' spouse's RAGENDER variable. If the spouse never responded,
spouse gender is taken from the respondent's report of spouse gender. From Wave 5, the respondent is no
longer asked the gender of their new spouse. Then the spouse gender is taken from a previous spouse.
Cross Wave Differences in Original HRS Data
Gender is reported in the Tracker file and in all waves. We only use the Tracker file in our derivation
as that has the most up to date information.
Section A: Demographics, Identifiers, and Weights
Spouse gender is available in all waves, if the respondent is married or partnered.
reported in 2 places in Waves 3H, 4 and 5.
HRS Variables Used
HRS 1992:
V47
HRS 1994:
W51
AHEAD 1995:
D290
HRS 1996:
E290
HRS 1998:
F591
F693
HRS 2000:
G642
G764
Tracker:
GENDER
R:SEX
Same Sex Couple Flag
SEX OF NEW SPOUSE
SEX OF NEW SPOUSE
SEX OF NEW SPOUSE
SP GENDER
CS15Y56.SEX OF NEW SPOUSE
CS22Y41.SP GENDER
SEX OF RESPONDENT
122
Spouse gender is
Section A: Demographics, Identifiers, and Weights
123
Race , Ethnicity: Race
Wave
Variable
Label
Type
1
RARACEM
RARACEM: R Race - masked
Categ
1
2
3
4
5
6
7
8
9
10
11
S1RACEM
S2RACEM
S3RACEM
S4RACEM
S5RACEM
S6RACEM
S7RACEM
S8RACEM
S9RACEM
S10RACEM
S11RACEM
S1RACEM: S Race - masked
S2RACEM: S Race - masked
S3RACEM: S Race - masked
S4RACEM: S Race - masked
S5RACEM: S Race - masked
S6RACEM: S Race - masked
S7RACEM: S Race - masked
S8RACEM: S Race - masked
S9RACEM: S Race - masked
S10RACEM: S Race - masked
S11RACEM: S Race - masked
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
RARACEM
37236
1.31
0.59
1.0
3.0
S1RACEM
S2RACEM
S3RACEM
S4RACEM
S5RACEM
S6RACEM
S7RACEM
S8RACEM
S9RACEM
S10RACEM
S11RACEM
10148
13503
12197
14355
12952
11781
13215
11942
10893
13844
12764
1.21
1.18
1.17
1.18
1.18
1.18
1.21
1.21
1.21
1.33
1.34
0.49
0.46
0.45
0.46
0.47
0.47
0.52
0.52
0.52
0.64
0.64
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
Categorical Variable Codes
Value----------------------|RARACEM
.M=Oth missing
|83
1.White/Caucasian
|28075
2.Black/African American
|6683
3.Other
|2478
Value----------------------|S1RACEM
.M=Oth missing
|
.U=Unmar
|2373
.V=Sp NR
|131
1.White/Caucasian
|8438
2.Black/African American
|1313
3.Other
|397
S2RACEM
13
5970
156
11530
1554
419
S3RACEM
6
5658
130
10485
1332
380
S4RACEM
6
6869
154
12318
1539
498
S5RACEM
4
6538
85
11138
1340
474
S6RACEM
4
6306
74
10106
1238
437
S7RACEM
3
6777
134
11100
1409
706
S8RACEM
2
6417
108
10089
1227
626
S9RACEM
1
6206
117
9187
1114
592
S10RACEM
43
7795
352
10572
2005
1267
S11RACEM
45
7473
272
9672
1871
1221
How Constructed:
Race is assigned by looking at reports from Tracker and all waves of data. The non-missing race variable
from Tracker is used. If race is missing and the first non-missing race from all waves is used.
SwRACEM provides the race of the respondent's spouse or partner.
RARACEM variables.
Cross Wave Differences in Original HRS Data
It is taken from the Wave 'w' spouse's
Section A: Demographics, Identifiers, and Weights
124
Before Wave 8 race is asked at the respondent’s first interview. In Wave 8, the question format was
changed to meet OMB guidelines. In particular, respondents were allowed to report multiple races, and
some categories that had previously been combined were separated. Also, if more than one race was
reported, respondents were asked which one they consider to be their primary race. The new format is
asked only once of all respondents, either in Wave 8 or the first wave after that in which a respondent
completed an interview.
HRS Variables Used
HRS 1992:
V10221
V216
V221
AHEAD 1993:
B140
B143
HRS 1994:
W228
W233
AHEAD 1995:
D664
D667M
HRS 1996:
E664
E667M
HRS 1998:
F1002
F1005M
HRS 2000:
G1089
G1092A
G1092M
HRS 2002:
HB028
HB031M
HRS 2004:
JB028
JB031M
HRS 2006:
KB028
KB089M1M
KB091M
HRS 2008:
LB028
LB089M1M
LB091M
HRS 2010:
MB028
MB089M1M
MB091M
HRS 2012:
NB028
NB089M1M
NB091M
Tracker:
HISPANIC
RACE
A8:RACE/ETHNICITY
:IND
A7:HISPANIC OR LATINO
A8:RACE/ETHNICITY
:IMP
A7. R HISPANIC/LATINO
A8. R'S RACE
A15. Hispanic or Latino
A16. Race/Ethnicity
A7. HISPANIC
A8. R RACE - MASKED
A7.HISPANIC
A8.R RACE - MASKED
A7.HISPANIC
A8.R RACE - MASKED
A7.HISPANIC
A8.R RACE - COMBINED MASKED
A8.R RACE - MASKED
R HISPANIC/LATINO
R RACE - MASKED
R HISPANIC/LATINO
R RACE - MASKED
R HISPANIC/LATINO
R RACE - MULTIPLE RESPONSE -1 MASKED
R RACE - PRIMARY - MASKED
R HISPANIC/LATINO
R RACE - MULTIPLE RESPONSE -1 MASKED
R RACE - PRIMARY - MASKED
R HISPANIC/LATINO
R RACE - MULTIPLE RESPONSE -1 MASKED
R RACE - PRIMARY - MASKED
R HISPANIC/LATINO
R RACE - MULTIPLE RESPONSE -1 MASKED
R RACE - PRIMARY - MASKED
HISPANICITY TYPE
RACE/ETHNICITY
Section A: Demographics, Identifiers, and Weights
125
Race , Ethnicity: Whether Hispanic
Wave
Variable
Label
Type
1
RAHISPAN
RAHISPAN: R Hispanic
Categ
1
2
3
4
5
6
7
8
9
10
11
S1HISPAN
S2HISPAN
S3HISPAN
S4HISPAN
S5HISPAN
S6HISPAN
S7HISPAN
S8HISPAN
S9HISPAN
S10HISPAN
S11HISPAN
S1HISPAN: S Hispanic
S2HISPAN: S Hispanic
S3HISPAN: S Hispanic
S4HISPAN: S Hispanic
S5HISPAN: S Hispanic
S6HISPAN: S Hispanic
S7HISPAN: S Hispanic
S8HISPAN: S Hispanic
S9HISPAN: S Hispanic
S10HISPAN: S Hispanic
S11HISPAN: S Hispanic
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
RAHISPAN
37258
0.11
0.32
0.0
1.0
S1HISPAN
S2HISPAN
S3HISPAN
S4HISPAN
S5HISPAN
S6HISPAN
S7HISPAN
S8HISPAN
S9HISPAN
S10HISPAN
S11HISPAN
10139
13497
12193
14356
12954
11782
13219
11945
10894
13871
12787
0.09
0.08
0.08
0.08
0.08
0.08
0.10
0.09
0.10
0.14
0.15
0.29
0.26
0.27
0.27
0.27
0.27
0.30
0.29
0.30
0.35
0.36
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Categorical Variable Codes
Value----------------------|RAHISPAN
.M=Oth missing
|61
0. Not Hispanic
|33091
1. Hispanic
|4167
Value----------------------|S1HISPAN
.M=Oth missing
|9
.U=Unmar
|2373
.V=Sp NR
|131
0. Not Hispanic
|9224
1. Hispanic
|915
S2HISPAN
19
5970
156
12478
1019
S3HISPAN
11
5658
129
11234
959
S4HISPAN
8
6869
151
13237
1119
S5HISPAN
5
6538
82
11917
1037
S6HISPAN
4
6306
73
10828
954
S7HISPAN
1
6777
132
11918
1301
S8HISPAN S9HISPAN
1
6417
6206
107
116
10814
9818
1131
1076
S10HISPAN
15
7795
353
11874
1997
S11HISPAN
22
7473
272
10875
1912
How Constructed:
RAHISPAN indicates whether the respondent is Hispanic. It is assigned by looking at reports from Tracker
file and all waves of data. The non-missing Hispanic variable from Tracker file is used. If RAHISPAN is
missing then first non-missing Hispanic from all waves of data is used.
In the Tracker file variable, both Mexican-American and Other Hispanic are recoded to 1. The codes for
the core data variables indicate yes, for Hispanic which is recoded to 1, and no which is recoded to 0.
SwHISPAN indicates whether the respondent's spouse or partner is Hispanic.
spouse's RAHISPAN variable.
It is taken from the Wave 'w'
Section A: Demographics, Identifiers, and Weights
126
Cross Wave Differences in Original HRS Data
Before Wave 8, individuals are asked whether they consider themselves Hispanic or Latino at their first
interview. In Wave 8, everyone is asked this question. From Wave 9, the question was asked if it’s first
interview.
HRS Variables Used
HRS 1992:
V216
AHEAD 1993:
B140
HRS 1994:
W228
AHEAD 1995:
D664
HRS 1996:
E664
HRS 1998:
F1002
HRS 2000:
G1089
HRS 2002:
HB028
HRS 2004:
JB028
HRS 2006:
KB028
HRS 2008:
LB028
HRS 2010:
MB028
HRS 2012:
NB028
Tracker:
HISPANIC
A7:HISPANIC OR LATINO
A7. R HISPANIC/LATINO
A15. Hispanic or Latino
A7. HISPANIC
A7.HISPANIC
A7.HISPANIC
A7.HISPANIC
R HISPANIC/LATINO
R HISPANIC/LATINO
R HISPANIC/LATINO
R HISPANIC/LATINO
R HISPANIC/LATINO
R HISPANIC/LATINO
HISPANICITY TYPE
Section A: Demographics, Identifiers, and Weights
127
Census Region
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1CENREG
R2CENREG
R3CENREG
R4CENREG
R5CENREG
R6CENREG
R7CENREG
R8CENREG
R9CENREG
R10CENREG
R11CENREG
R1CENREG:W1 Census Region
R2CENREG:W2 Census Region
R3CENREG:W3 Census Region
R4CENREG:W4 Census Region
R5CENREG:W5 Census Region
R6CENREG:W6 Census Region
R7CENREG:W7 Census Region
R8CENREG:W8 Census Region
R9CENREG:W9 Census Region
R10CENREG:W10 Census Region
R11CENREG:W11 Census Region
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1CENREG
S2CENREG
S3CENREG
S4CENREG
S5CENREG
S6CENREG
S7CENREG
S8CENREG
S9CENREG
S10CENREG
S11CENREG
S1CENREG:W1 Census Region
S2CENREG:W2 Census Region
S3CENREG:W3 Census Region
S4CENREG:W4 Census Region
S5CENREG:W5 Census Region
S6CENREG:W6 Census Region
S7CENREG:W7 Census Region
S8CENREG:W8 Census Region
S9CENREG:W9 Census Region
S10CENREG:W10 Census Region
S11CENREG:W11 Census Region
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
R1CENDIV
R2CENDIV
R3CENDIV
R4CENDIV
R5CENDIV
R6CENDIV
R7CENDIV
R8CENDIV
R9CENDIV
R10CENDIV
R11CENDIV
R1CENDIV:W1 Census Division
R2CENDIV:W2 Census Division
R3CENDIV:W3 Census Division
R4CENDIV:W4 Census Division
R5CENDIV:W5 Census Division
R6CENDIV:W6 Census Division
R7CENDIV:W7 Census Division
R8CENDIV:W8 Census Division
R9CENDIV:W9 Census Division
R10CENDIV:W10 Census Division
R11CENDIV:W11 Census Division
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1CENDIV
S2CENDIV
S3CENDIV
S4CENDIV
S5CENDIV
S6CENDIV
S7CENDIV
S8CENDIV
S9CENDIV
S10CENDIV
S11CENDIV
S1CENDIV:W1 Census Division
S2CENDIV:W2 Census Division
S3CENDIV:W3 Census Division
S4CENDIV:W4 Census Division
S5CENDIV:W5 Census Division
S6CENDIV:W6 Census Division
S7CENDIV:W7 Census Division
S8CENDIV:W8 Census Division
S9CENDIV:W9 Census Division
S10CENDIV:W10 Census Division
S11CENDIV:W11 Census Division
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
R1CENREG
R2CENREG
R3CENREG
R4CENREG
R5CENREG
12652
19640
17989
21376
19568
Mean
2.57
2.56
2.57
2.58
2.59
Std Dev
0.96
0.96
0.96
0.96
0.96
Minimum
1.0
1.0
1.0
1.0
1.0
Maximum
4.0
4.0
5.0
5.0
5.0
Section A: Demographics, Identifiers, and Weights
128
R6CENREG
R7CENREG
R8CENREG
R9CENREG
R10CENREG
R11CENREG
18149
20114
18458
17206
22017
19886
2.60
2.62
2.63
2.63
2.68
2.69
0.96
0.97
0.97
0.96
0.97
0.97
1.0
1.0
1.0
1.0
1.0
1.0
5.0
5.0
5.0
5.0
5.0
5.0
S1CENREG
S2CENREG
S3CENREG
S4CENREG
S5CENREG
S6CENREG
S7CENREG
S8CENREG
S9CENREG
S10CENREG
S11CENREG
9900
13087
11915
13978
12722
11629
12962
11725
10637
13504
12149
2.57
2.58
2.59
2.61
2.61
2.62
2.64
2.65
2.65
2.71
2.72
0.95
0.96
0.95
0.95
0.96
0.96
0.97
0.96
0.96
0.97
0.97
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
4.0
4.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
R1CENDIV
R2CENDIV
R3CENDIV
R4CENDIV
R5CENDIV
R6CENDIV
R7CENDIV
R8CENDIV
R9CENDIV
R10CENDIV
R11CENDIV
12652
19640
17989
21376
19568
18149
20114
18458
17206
22017
19886
4.90
4.88
4.90
4.93
4.96
4.98
5.04
5.06
5.06
5.20
5.22
2.30
2.32
2.31
2.32
2.34
2.34
2.38
2.36
2.35
2.40
2.40
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
9.0
9.0
11.0
11.0
11.0
11.0
11.0
11.0
11.0
11.0
11.0
S1CENDIV
S2CENDIV
S3CENDIV
S4CENDIV
S5CENDIV
S6CENDIV
S7CENDIV
S8CENDIV
S9CENDIV
S10CENDIV
S11CENDIV
9900
13087
11915
13978
12722
11629
12962
11725
10637
13504
12149
4.91
4.93
4.96
4.99
4.99
5.02
5.07
5.10
5.11
5.27
5.30
2.29
2.32
2.31
2.33
2.34
2.34
2.39
2.37
2.35
2.41
2.42
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
9.0
9.0
11.0
11.0
11.0
11.0
11.0
11.0
11.0
11.0
11.0
Categorical Variable Codes
Value----------------------|R1CENREG
.M=Oth missing
|
1.Northeast
|2240
2.Midwest
|3042
3.South
|5343
4.West
|2027
5.Other
|
R2CENREG
2
3529
4781
8191
3139
R3CENREG
2
3134
4438
7490
2918
9
R4CENREG
8
3589
5324
8848
3608
7
R5CENREG
11
3300
4826
8057
3369
16
R6CENREG
16
2976
4525
7445
3189
14
R7CENREG
15
3255
5008
7999
3822
30
R8CENREG
11
2880
4633
7433
3480
32
R9CENREG
11
2655
4282
6997
3239
33
R10CENREG
17
3385
4922
9114
4559
37
R11CENREG
668
3001
4435
8236
4164
50
Value----------------------|S1CENREG
.M=Oth missing
|
.U=Unmar
|2373
.V=Sp NR
|379
1.Northeast
|1684
2.Midwest
|2461
3.South
|4182
4.West
|1573
5.Other
|
S2CENREG
1
5970
584
2213
3263
5430
2181
S3CENREG S4CENREG S5CENREG
8
5658
6869
6538
418
537
311
1942
2202
2051
3006
3551
3202
4942
5742
5199
2019
2478
2260
6
5
10
S6CENREG
10
6306
220
1819
2968
4721
2111
10
S7CENREG
10
6777
380
1994
3317
5063
2568
20
S8CENREG
10
6417
317
1746
3006
4648
2302
23
S9CENREG
9
6206
365
1529
2744
4274
2068
22
S10CENREG
13
7795
722
1907
3122
5484
2964
27
S11CENREG
341
7473
591
1712
2761
4920
2720
36
Value----------------------|R1CENDIV
.M=Oth missing
|
1. New England
|469
2. Mid Atlantic
|1771
R2CENDIV
2
782
2747
R3CENDIV
2
702
2432
R6CENDIV
16
718
2258
R7CENDIV
15
833
2422
R8CENDIV
11
741
2139
R9CENDIV
11
665
1990
R10CENDIV
17
790
2595
R11CENDIV
668
686
2315
R4CENDIV
8
869
2720
R5CENDIV
11
800
2500
Section A: Demographics, Identifiers, and Weights
3. EN Central
4. WN Central
5. S Atlantic
6. ES Central
7. WS Central
8. Mountain
9. Pacific
11.Not US/inc US terr
|1987
|1055
|3256
|817
|1270
|513
|1514
|
Value----------------------|S1CENDIV
.M=Oth missing
|
.U=Unmar
|2373
.V=Sp NR
|379
1. New England
|379
2. Mid Atlantic
|1305
3. EN Central
|1584
4. WN Central
|877
5. S Atlantic
|2514
6. ES Central
|652
7. WS Central
|1016
8. Mountain
|409
9. Pacific
|1164
11.Not US/inc US terr
|
129
3238
1543
4976
1115
2100
801
2338
2979
1459
4577
1017
1896
808
2110
9
3561
1763
5429
1196
2223
1018
2590
7
3178
1648
4884
1120
2053
961
2408
16
S2CENDIV
1
5970
584
513
1700
2183
1080
3260
768
1402
581
1600
S3CENDIV S4CENDIV S5CENDIV
8
5658
6869
6538
418
537
311
439
550
515
1503
1652
1536
2010
2330
2074
996
1221
1128
2980
3517
3115
696
793
759
1266
1432
1325
581
700
655
1438
1778
1605
6
5
10
2978
1547
4442
1056
1947
915
2274
14
3362
1646
4720
1175
2104
1156
2666
30
3071
1562
4321
1134
1978
1090
2390
32
2830
1452
4088
1064
1845
1056
2183
33
3360
1562
5173
1373
2568
1381
3178
37
3039
1396
4652
1277
2307
1281
2883
50
S6CENDIV
10
6306
220
451
1368
1921
1047
2790
707
1224
620
1491
10
S7CENDIV
10
6777
380
538
1456
2204
1113
2990
759
1314
796
1772
20
S8CENDIV
10
6417
317
465
1281
1976
1030
2669
725
1254
735
1567
23
S9CENDIV
9
6206
365
401
1128
1800
944
2483
658
1133
670
1398
22
S10CENDIV
13
7795
722
473
1434
2110
1012
3073
816
1595
910
2054
27
S11CENDIV
341
7473
591
418
1294
1860
901
2736
761
1423
843
1877
36
How Constructed:
RwCENREG gives the Census Region and RwCENDIV the Census Division of respondent residence at wave 'w'.
The Census Division of residence is provided in the HRS 2004 Geographic Region Information file and in
the core data for most waves. Census Division is recoded into the larger Census Regions. Information for
2006 is only available in the core data.
If the residence location in the Geographic Region file variables is missing, we examine variables from
the core data for location, if available. We then look at the spouse's residence from the Geographic
Region file, and if the couple is living together, use it to fill missing as well. Finally, we examine
variables indicating whether the household moved between waves and if not, carry prior residence forward
or future residence back.
In the core data, location of residence is collected in the first interview for the entry cohort subsample, i.e., in Wave 1 for the HRS cohort, Wave 2A for the AHEAD cohort, Wave 4 for the CODA and War
Babies cohorts, and Wave 7 for the EBB cohort. At subsequent interviews, questions ask whether the
household moved, and if so, if the move was within the same area as the previous interview residence. If
the household moved out of the area, the new location was collected. The new location is provided in the
core data, except in Waves 2H and 3A.
Note that most of the time the respondent and spouse live in the same Census Region, but occasionally the
two regions differ.
The spouse's Census Region and Division are taken from the Wave 'w' spouse's variables, i.e., from the
Wave 'w' spouse's RwCENREG and RwCENDIV.
Cross Wave Differences in Original HRS Data
Region of residence for all waves before 2006 is provided in the HRS 2004 Geographic Region Information
file. In addition there is information on household location in the core data.
Location of residence is available in Wave 1 data for the HRS entry cohort, and in Wave 2A for the AHEAD
entry cohort. In Wave 4, the War Babies and Coda cohorts are asked for the location of current
residence, as this is their first wave in the study. In Wave 7, the EBB cohorts are asked for location
of current residence.
In Wave 2H for HRS cohort there is no question about the current location of residence. The only question
asked is whether the household moved to different residence since the date of Wave 1 interview.
In Wave 3H and from Wave 4 forward, questions ask if the household is still in the same location as in
previous wave interview and if not, whether it moved to the same area of that old address. If the
household did not stay within the same area, the new location is asked. Wave 3A follows a similar
sequence of questions, except that the new location was not asked.
Section A: Demographics, Identifiers, and Weights
HRS Variables Used
HRS 1992:
V53
AHEAD 1993:
REGION
HRS 1994:
W100
W200
AHEAD 1995:
D241
D422
D423
HRS 1996:
E241
E422
E423
E430M
HRS 1998:
F521
F723
F724
F731M
HRS 2000:
G562
G796
G797
G805M
HRS 2002:
HA030
HA071
HA072
HA076M
HRS 2004:
JA030
JA071
JA072
JA076M
HRS 2006:
KA030
KA071
KA072
KA076M
HRS 2008:
LA030
LA071
LA072
LA076M
HRS 2010:
MA030
MA071
MA072
MA076M
HRS 2012:
NA030
NA071
NA072
NA076M
Tracker:
REGION99
Region:
REGION00
REGION02
R:STATE HRS (RECODED)
CENSUS REGION/DIVISION
HHCS5. Is Residence Different?
A1. Marital Status
CS12.COUPLE LIVE TOGETHER
CS27. SAME RESIDENCE #1
CS28. SAME AREA - 1
CS12.COUPLE LIVE TOGETHER
CS27. SAME RESIDENCE #1
CS28. SAME AREA - 1
CS33. REGION CURRENT RESIDENCE
CS12.COUPLE LIVE TOGETHER
CS27. SAME RESIDENCE #1
CS28. SAME AREA - 1
CS33.CURRENT RESIDENCE - REGION
CS12.COUPLE LIVE TOGETHER
CS27. SAME RESIDENCE #1
CS28. SAME AREA - 1
CS33.CURRENT RESIDENCE - REGION
COUPLE LIVE TOGETHER
SAME RESID AS PREV WAVE #1
SAME CITY/ST RESID # 1
CURRENT RESIDENCE STATE - MASKED
COUPLE LIVE TOGETHER
SAME RESID AS PREV WAVE #1
SAME CITY/ST RESID # 1
CURRENT RESIDENCE STATE - MASKED
COUPLE LIVE TOGETHER
SAME RESID AS PREV WAVE #1
SAME CITY/ST RESID # 1
CURRENT RESIDENCE STATE - MASKED
COUPLE LIVE TOGETHER
SAME RESID AS PREV WAVE #1
SAME CITY/ST RESID # 1
CURRENT RESIDENCE STATE - MASKED
COUPLE LIVE TOGETHER
SAME RESID AS PREV WAVE #1
SAME CITY/ST RESID # 1
CURRENT RESIDENCE STATE - MASKED
COUPLE LIVE TOGETHER
SAME RESID AS PREV WAVE #1
SAME CITY/ST RESID # 1
CURRENT RESIDENCE STATE - MASKED
REGION OF RESIDENCE 2000
REGION OF RESIDENCE 2002
130
Section A: Demographics, Identifiers, and Weights
REGION04
REGION06
REGION08
REGION92
REGION93
REGION94
REGION95
REGION96
REGION
REGION
REGION
REGION
REGION
REGION
REGION
REGION
OF
OF
OF
OF
OF
OF
OF
OF
RESIDENCE
RESIDENCE
RESIDENCE
RESIDENCE
RESIDENCE
RESIDENCE
RESIDENCE
RESIDENCE
2004
2006
2008
1992
1993
1994
1995
1996
131
Section A: Demographics, Identifiers, and Weights
132
Education: Years of Education
Wave
Variable
Label
Type
1
RAEDYRS
RAEDYRS: R Years of Education
Categ
1
2
3
4
5
6
7
8
9
10
11
S1EDYRS
S2EDYRS
S3EDYRS
S4EDYRS
S5EDYRS
S6EDYRS
S7EDYRS
S8EDYRS
S9EDYRS
S10EDYRS
S11EDYRS
S1EDYRS: S Years of Education
S2EDYRS: S Years of Education
S3EDYRS: S Years of Education
S4EDYRS: S Years of Education
S5EDYRS: S Years of Education
S6EDYRS: S Years of Education
S7EDYRS: S Years of Education
S8EDYRS: S Years of Education
S9EDYRS: S Years of Education
S10EDYRS: S Years of Education
S11EDYRS: S Years of Education
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
RAEDYRS
37196
12.05
3.46
0.0
18.0
S1EDYRS
S2EDYRS
S3EDYRS
S4EDYRS
S5EDYRS
S6EDYRS
S7EDYRS
S8EDYRS
S9EDYRS
S10EDYRS
S11EDYRS
10135
13455
12190
14350
12952
11782
13198
11920
10869
13821
12745
12.07
11.84
11.95
12.21
12.29
12.39
12.60
12.68
12.76
12.82
12.84
3.26
3.40
3.34
3.29
3.30
3.25
3.23
3.20
3.16
3.22
3.24
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
17.0
17.0
17.0
17.0
17.0
17.0
17.0
17.0
17.0
18.0
18.0
Categorical Variable Codes
Value----------------------|RAEDYRS
.M=Oth missing
|123
0.None
|373
1
|123
2
|197
3
|436
4
|370
5
|408
6
|909
7
|677
8
|1985
9
|1369
10
|1952
11
|1892
12
|11698
13
|2607
14
|3698
15
|1359
16
|3730
17.17+ yrs
|3412
18
|1
Value----------------------|S1EDYRS
.M=Oth missing
|
.U=Unmar
|2373
.V=Sp NR
|144
0.None
|80
1
|22
2
|46
S2EDYRS
11
5970
206
136
48
58
S3EDYRS
5
5658
138
118
37
49
S4EDYRS
3
6869
162
114
43
56
S5EDYRS
6538
89
108
32
47
S6EDYRS
3
6306
74
93
32
33
S7EDYRS
21
6777
133
94
32
44
S8EDYRS
25
6417
107
82
28
31
S9EDYRS
25
6206
117
68
26
27
S10EDYRS
63
7795
355
91
34
60
S11EDYRS
62
7473
274
85
33
54
Section A: Demographics, Identifiers, and Weights
3
4
5
6
7
8
9
10
11
12
13
14
15
16
|105
|84
|104
|204
|153
|513
|384
|578
|531
|3647
|655
|902
|315
|882
|930
|
17.17+ yrs
18
159
142
161
277
259
847
561
790
688
4692
839
1111
412
1118
1157
131
112
137
248
207
719
481
685
616
4301
797
1051
375
1046
1080
133
140
118
136
262
202
737
504
755
692
4944
990
1330
503
1411
1413
123
108
124
222
188
630
453
647
618
4405
903
1188
457
1340
1359
108
82
104
190
166
527
395
570
540
4052
821
1098
442
1248
1281
120
76
98
234
162
485
390
578
551
4352
989
1345
531
1553
1564
102
64
85
202
148
407
343
507
502
3915
913
1216
471
1432
1472
86
63
71
175
119
342
298
452
433
3587
846
1110
437
1340
1389
112
79
88
303
138
332
358
504
573
4310
1083
1567
609
1861
1718
1
108
79
80
294
121
275
312
452
526
3924
1034
1447
564
1743
1613
1
How Constructed:
The years of education variable is assigned by looking at reports from Tracker file and all waves of
data. The non-missing SCHLYRS variable from Tracker file is used. If RAEDYRS is missing then first nonmissing value from all waves of data is used.
The spouse variables SwEDYRS and SwEDYRF are taken from the Wave 'w' spouse's RAEDYRS and RAEDYRF.
Cross Wave Differences in Original HRS Data
In Wave 1, years of education is imputed. It is not imputed in any other wave.
HRS Variables Used
HRS 1992:
V10207
V207
AHEAD 1993:
B125
HRS 1994:
W221
AHEAD 1995:
D649
HRS 1996:
E649
HRS 1998:
F987
HRS 2000:
G1074
HRS 2002:
HB014
HRS 2004:
JB014
HRS 2006:
KB014
HRS 2008:
LB014
HRS 2010:
MB014
HRS 2012:
NB014
Tracker:
SCHLYRS
V207 EDUCATION IMP :IND
A3:HIGHEST EDUCATION:IMP
A3. R'S EDUCATION
A13. Highest Education
A3. R EDUCATION
A3.R EDUCATION
A3.R EDUCATION
A3.R EDUCATION
R HIGHEST LEVEL OF EDUCATION
R HIGHEST LEVEL OF EDUCATION
R HIGHEST LEVEL OF EDUCATION
R HIGHEST LEVEL OF EDUCATION
R HIGHEST LEVEL OF EDUCATION
R HIGHEST LEVEL OF EDUCATION
NUMBER OF YEARS IN SCHOOL
Section A: Demographics, Identifiers, and Weights
134
Education: Degrees, Diplomas
Wave
Variable
Label
Type
1
RAEDEGRM
RAEDEGRM: R Highest Degree - masked
Categ
1
2
3
4
5
6
7
8
9
10
11
S1EDEGRM
S2EDEGRM
S3EDEGRM
S4EDEGRM
S5EDEGRM
S6EDEGRM
S7EDEGRM
S8EDEGRM
S9EDEGRM
S10EDEGRM
S11EDEGRM
S1EDEGRM: S Highest Degree - masked
S2EDEGRM: S Highest Degree - masked
S3EDEGRM: S Highest Degree - masked
S4EDEGRM: S Highest Degree - masked
S5EDEGRM: S Highest Degree - masked
S6EDEGRM: S Highest Degree - masked
S7EDEGRM: S Highest Degree - masked
S8EDEGRM: S Highest Degree - masked
S9EDEGRM: S Highest Degree - masked
S10EDEGRM: S Highest Degree - masked
S11EDEGRM: S Highest Degree - masked
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
RAEDEGRM
37319
2.32
1.91
0.0
8.0
S1EDEGRM
S2EDEGRM
S3EDEGRM
S4EDEGRM
S5EDEGRM
S6EDEGRM
S7EDEGRM
S8EDEGRM
S9EDEGRM
S10EDEGRM
S11EDEGRM
10143
13465
12196
14357
12954
11786
13219
11945
10895
13889
12810
2.28
2.17
2.22
2.39
2.44
2.50
2.64
2.68
2.73
2.77
2.80
1.88
1.88
1.88
1.91
1.93
1.93
1.93
1.94
1.94
1.91
1.91
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
Categorical Variable Codes
Value----------------------|RAEDEGRM
0. No degree
|10008
1. GED
|1760
2. HS
|10662
3. HS/GED
|6313
4. AA/ Lt BA
|1724
5. BA
|4236
6. MA/MBA
|2021
7. Law/MD/PhD
|575
8.Other
|20
Value----------------------|S1EDEGRM
.U=Unmar
|2373
.V=Sp NR
|136
0. No degree
|2573
1. GED
|531
2. HS
|3319
3. HS/GED
|1613
4. AA/ Lt BA
|363
5. BA
|1025
6. MA/MBA
|507
7. Law/MD/PhD
|204
8.Other
|8
How Constructed:
S2EDEGRM
5970
207
3883
592
4320
2097
404
1262
648
248
11
S3EDEGRM
5658
137
3322
549
3951
1961
376
1193
599
239
6
S4EDEGRM
6869
158
3482
651
4550
2398
535
1610
809
315
7
S5EDEGRM
6538
87
3047
601
4036
2166
483
1536
783
300
2
S6EDEGRM
6306
73
2596
557
3721
1993
452
1437
735
291
4
S7EDEGRM
6777
133
2607
604
3998
2365
611
1792
908
331
3
S8EDEGRM
6417
107
2276
553
3585
2139
559
1669
858
302
4
S9EDEGRM
6206
116
1960
511
3271
1976
514
1564
813
282
4
S10EDEGRM
7795
350
2381
723
3904
2581
834
2163
1034
264
5
S11EDEGRM
7473
271
2139
665
3568
2398
788
2026
977
245
4
Section A: Demographics, Identifiers, and Weights
135
The highest degree is assigned by looking at reports from tracker and all waves of data. The first nonmissing value is used. If R reports 12 or fewer years of school, he/she is asked about a HS degree only.
If R reports 13 or more years of school, he/she is asked about college degrees only, and if he/she
doesn't have any, the assumption is completion of HS, but the data do not distinguish a diploma from a
GED.
The detail of the higher-level degrees varies across waves. RwEDEGRM is recoded to categories that are
consistently available across waves. For degrees higher than BA, there are 2 categories: MA/MBA and
MD/Law/PhD through Wave 7. In Wave 8, MD/Law/PhD are included in the "other" category, so cannot be
identified separately. If a respondent first responds in Wave 8, then MD/Law/PhD degrees will be coded as
"other".
Overlapping categories occur for high school degrees where the information is sometimes incomplete, i.e.,
1=GED, 2=HS and 3=HS or GED.
This variable combines the HS degree, any college degree, and highest degree. If it is missing from all
waves, RAEDYRS is used to assign degree: 0-11=no degree; 12,13=HS/GED; 14,15=AA; 16,17=BA.
The spouse variables SwEDEGRM and SwEDEGRF are taken from the Wave 'w' spouse's RADEGRM and RADEGRF
variables.
Cross Wave Differences in Original HRS Data
The categories for higher level degrees (beyond BA) vary across waves. In Waves 1 and 2H, MA and MBA are
coded separately. For Wave 2A, higher level degrees are indicated by two categories: "Advanced
degree/non-professional" and "Advanced degree/professional". From Wave 3 forward, the MA and MBA
categories were collapsed. In Waves 1, 2, 3H, 4 and 5 Law/MD and PhD are 2 separate categories. In
Waves 3A, 6, and 7, these are collapsed into one category, Law/MD/PhD. From wave 8 and forward, Law/MD
and PhD are not identifiable; they are included in the "other" category.
The wording for degrees less than BA changes across waves. In Waves 1 and 2H it is "Associates".
Wave 2A and from Wave 3 forward, it is "less than Bachelors".
HRS Variables Used
HRS 1992:
V10207
V207
V208
V210
V211
AHEAD 1993:
B125
B126
B128
DEGREE
HRS 1994:
W221
W222
W224
W225
AHEAD 1995:
D649
D650
D651
D652M
HRS 1996:
E649
E650
E651
E652M
HRS 1998:
V207 EDUCATION IMP :IND
A3:HIGHEST EDUCATION:IMP
A3A:HI SCHL DIPLOMA/GED
A3C:COLLEGE DEGREE (Y/N)
A3D:HIGHEST DEGREE
A3. R'S EDUCATION
A3a. R FINISH HIGH SCHOOL
A3b. R FINISH COLLEGE
HIGHEST DEGREE OF EDUCATION
A13. Highest Education
A13a. HS Diploma/GED
A13c. College Degree
A13d. Highest Degree
A3. R
A3A.R
A3B.R
A3C.R
EDUCATION
HIGH SCHOOL
COLLEGE
HIGH DEGREE - MASKED
A3.R EDUCATION
A3A.R HIGH SCHOOL
A3B.R COLLEGE
A3C.R HIGH DEGREE - MASKED
In
Section A: Demographics, Identifiers, and Weights
F987
F988
F989
F990M
HRS 2000:
G1074
G1075
G1076
G1077M
HRS 2002:
HB014
HB015
HB016
HB017M
HRS 2004:
JB014
JB015
JB016
JB017M
HRS 2006:
KB014
KB015
KB016
KB017M
HRS 2008:
LB014
LB015
LB016
LB017M
HRS 2010:
MB014
MB015
MB016
MB017M
HRS 2012:
NB014
NB015
NB016
NB017M
Tracker:
DEGREE
A3.R EDUCATION
A3A.R HIGH SCHOOL
A3B.R COLLEGE
A3C.R HIGH DEGREE - MASKED
A3.R EDUCATION
A3A.R HIGH SCHOOL
A3B.R COLLEGE
A3C.R HIGH DEGREE - MASKED
R
R
R
R
HIGHEST LEVEL OF EDUCATION
EARN HIGH SCHOOL DIPLOMA/GED
COLLEGE DEGREE
HIGHEST DEGREE - MASKED
R
R
R
R
HIGHEST LEVEL OF EDUCATION
EARN HIGH SCHOOL DIPLOMA/GED
COLLEGE DEGREE
HIGHEST DEGREE - MASKED
R
R
R
R
HIGHEST LEVEL OF EDUCATION
EARN HIGH SCHOOL DIPLOMA/GED
COLLEGE DEGREE
HIGHEST DEGREE - MASKED
R
R
R
R
HIGHEST LEVEL OF EDUCATION
EARN HIGH SCHOOL DIPLOMA/GED
COLLEGE DEGREE
HIGHEST DEGREE - MASKED
R
R
R
R
HIGHEST LEVEL OF EDUCATION
EARN HIGH SCHOOL DIPLOMA/GED
COLLEGE DEGREE
HIGHEST DEGREE - MASKED
R
R
R
R
HIGHEST LEVEL OF EDUCATION
EARN HIGH SCHOOL DIPLOMA/GED
COLLEGE DEGREE
HIGHEST DEGREE - MASKED
HIGHEST DEGREE OF EDUCATION
136
Section A: Demographics, Identifiers, and Weights
137
Education: Categorical summary
Wave
Variable
Label
Type
1
RAEDUC
RAEDUC: R education (categ)
Categ
1
2
3
4
5
6
7
8
9
10
11
S1EDUC
S2EDUC
S3EDUC
S4EDUC
S5EDUC
S6EDUC
S7EDUC
S8EDUC
S9EDUC
S10EDUC
S11EDUC
S1EDUC: S education (categ)
S2EDUC: S education (categ)
S3EDUC: S education (categ)
S4EDUC: S education (categ)
S5EDUC: S education (categ)
S6EDUC: S education (categ)
S7EDUC: S education (categ)
S8EDUC: S education (categ)
S9EDUC: S education (categ)
S10EDUC: S education (categ)
S11EDUC: S education (categ)
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
RAEDUC
37299
3.00
1.44
1.0
5.0
S1EDUC
S2EDUC
S3EDUC
S4EDUC
S5EDUC
S6EDUC
S7EDUC
S8EDUC
S9EDUC
S10EDUC
S11EDUC
10135
13454
12190
14350
12952
11782
13216
11941
10891
13884
12806
2.97
2.88
2.93
3.05
3.09
3.14
3.24
3.27
3.31
3.35
3.37
1.39
1.42
1.41
1.41
1.41
1.40
1.38
1.38
1.37
1.36
1.36
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
Categorical Variable Codes
Value----------------------|RAEDUC
.M=Oth missing
|20
1. Lt High-school
|10008
2. GED
|1760
3. High-school graduate
|10707
4. Some college
|7992
5. College and above
|6832
Value----------------------|S1EDUC
.M=Oth missing
|
.U=Unmar
|2373
.V=Sp NR
|144
1. Lt High-school
|2573
2. GED
|531
3. High-school graduate
|3347
4. Some college
|1948
5. College and above
|1736
S2EDUC
11
5970
207
3883
592
4349
2472
2158
S3EDUC
5
5658
138
3322
549
3976
2312
2031
S4EDUC
3
6869
162
3482
651
4574
2909
2734
S5EDUC
6538
89
3047
601
4058
2627
2619
S6EDUC
3
6306
74
2596
557
3739
2427
2463
S7EDUC
3
6777
133
2607
604
4016
2958
3031
S8EDUC
3
6417
108
2276
553
3600
2683
2829
S9EDUC
3
6206
117
1960
511
3287
2474
2659
S10EDUC
3
7795
352
2381
723
3920
3399
3461
S11EDUC
2
7473
273
2139
665
3581
3173
3248
How Constructed:
Categorical education recodes the years of education, whether HS degree, and college degrees in a more
general way than RAEDEGR. RAEDUC recodes dropouts, HS diplomas, and GED's directly from RAEDEGR. If the
respondent has a HS diploma or GED and years of education over 12, RAEDUC is set to "some college".
RAEDUC is also set to "some college" if the degree is less than a BA or "other". If R has exactly 12
years of education but no college degree, then a HS diploma is assumed. If the college degree is a BA or
greater, RAEDUC is set to "college and above".
Section A: Demographics, Identifiers, and Weights
138
The spouse variable SwEDUC is taken from the Wave 'w' spouse's RAEDUC variable.
Cross Wave Differences in Original HRS Data
The categories for higher level degrees (beyond BA) vary across waves. In Waves 1 and 2H, MA and MBA are
coded separately. For Wave 2A, higher level degrees are indicated by two categories: "Advanced
degree/non-professional" and "Advanced degree/professional". From Wave 3 forward, the MA and MBA
categories were collapsed. In Waves 1, 2, 3H, 4 and 5 Law/MD and PhD are 2 separate categories. For
Wave 3A, 6 and 7, these are collapsed into one category, Law/MD/PhD. From wave 8 and forward, Law/MD and
PhD are not identifiable; they are included in the "other" category.
The wording for degrees less than BA changes across waves. In Waves 1 and 2h it is "Associates".
Wave 2A, and from Wave 3 forward, it is "less than Bachelors".
For
Section A: Demographics, Identifiers, and Weights
139
Parents' Education
Wave
Variable
Label
Type
1
RAMEDUC
RAMEDUC: R Mothers Years Education
Categ
1
2
3
4
5
6
7
8
9
10
11
S1MEDUC
S2MEDUC
S3MEDUC
S4MEDUC
S5MEDUC
S6MEDUC
S7MEDUC
S8MEDUC
S9MEDUC
S10MEDUC
S11MEDUC
S1MEDUC: S Mothers Years Education
S2MEDUC: S Mothers Years Education
S3MEDUC: S Mothers Years Education
S4MEDUC: S Mothers Years Education
S5MEDUC: S Mothers Years Education
S6MEDUC: S Mothers Years Education
S7MEDUC: S Mothers Years Education
S8MEDUC: S Mothers Years Education
S9MEDUC: S Mothers Years Education
S10MEDUC: S Mothers Years Education
S11MEDUC: S Mothers Years Education
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
RAFEDUC
RAFEDUC: R Fathers Years Education
Categ
1
2
3
4
5
6
7
8
9
10
11
S1FEDUC
S2FEDUC
S3FEDUC
S4FEDUC
S5FEDUC
S6FEDUC
S7FEDUC
S8FEDUC
S9FEDUC
S10FEDUC
S11FEDUC
S1FEDUC: S Fathers Years Education
S2FEDUC: S Fathers Years Education
S3FEDUC: S Fathers Years Education
S4FEDUC: S Fathers Years Education
S5FEDUC: S Fathers Years Education
S6FEDUC: S Fathers Years Education
S7FEDUC: S Fathers Years Education
S8FEDUC: S Fathers Years Education
S9FEDUC: S Fathers Years Education
S10FEDUC: S Fathers Years Education
S11FEDUC: S Fathers Years Education
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
RAMEDUC
33001
9.33
3.54
0.0
17.0
S1MEDUC
S2MEDUC
S3MEDUC
S4MEDUC
S5MEDUC
S6MEDUC
S7MEDUC
S8MEDUC
S9MEDUC
S10MEDUC
S11MEDUC
9214
12150
11066
12893
11678
10630
11984
10842
9939
12708
11747
9.28
8.91
8.97
9.26
9.34
9.43
9.70
9.78
9.85
9.97
9.98
3.61
3.06
3.12
3.33
3.40
3.44
3.58
3.59
3.62
3.90
3.95
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
17.0
17.0
17.0
17.0
17.0
17.0
17.0
17.0
17.0
17.0
17.0
RAFEDUC
30979
9.10
3.79
0.0
17.0
S1FEDUC
S2FEDUC
S3FEDUC
S4FEDUC
S5FEDUC
S6FEDUC
S7FEDUC
S8FEDUC
S9FEDUC
8949
11896
10823
12369
11199
10170
11378
10300
9424
8.98
8.69
8.75
8.96
9.02
9.13
9.41
9.50
9.56
3.96
3.31
3.37
3.63
3.71
3.75
3.91
3.91
3.93
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
17.0
17.0
17.0
17.0
17.0
17.0
17.0
17.0
17.0
Section A: Demographics, Identifiers, and Weights
S10FEDUC
S11FEDUC
11840
10945
9.76
9.78
140
4.18
4.23
0.0
0.0
17.0
17.0
Categorical Variable Codes
Value----------------------|RAMEDUC
.D=DK
|4092
.M=Oth missing
|215
.R=RF
|11
0.None
|1206
1
|127
2
|230
3
|615
4
|612
5
|673
6
|1719
7
|792
7.5: lt 8 yrs
|3375
8
|3939
8.5:8+ yrs
|3848
9
|943
10
|1567
11
|961
12
|8740
13
|563
14
|1131
15
|226
16
|1289
17.17+ yrs
|445
Value----------------------|S1MEDUC
.D=DK
|878
.M=Oth missing
|9
.R=RF
|
.U=Unmar
|2373
.V=Sp NR
|178
0.None
|327
1
|35
2
|63
3
|207
4
|267
5
|274
6
|726
7
|341
7.5: lt 8 yrs
|35
8
|1951
8.5:8+ yrs
|81
9
|365
10
|637
11
|331
12
|2602
13
|156
14
|344
15
|55
16
|318
17.17+ yrs
|99
Value----------------------|RAFEDUC
.D=DK
|4756
.M=Oth missing
|1572
.R=RF
|12
0.None
|1193
1
|125
2
|288
3
|846
4
|742
5
|831
6
|1853
7
|759
7.5: lt 8 yrs
|3638
8
|3936
8.5:8+ yrs
|3572
9
|859
10
|1321
11
|673
12
|6392
13
|448
14
|854
15
|231
S2MEDUC
1182
97
1
5970
242
297
29
58
190
239
251
640
308
1700
1774
2201
329
560
299
2378
141
319
53
294
90
S3MEDUC
1014
111
1
5658
141
281
28
56
176
214
230
596
283
1356
1654
1955
316
539
274
2232
132
314
54
286
90
S4MEDUC
1341
116
4
6869
161
363
36
70
224
263
272
722
346
1018
2104
1580
384
670
366
3180
224
450
70
430
121
S5MEDUC
1171
100
3
6538
89
341
35
67
215
251
252
683
316
743
1962
1212
354
628
352
3019
215
433
65
414
121
S6MEDUC
1057
94
3
6306
75
316
34
65
190
226
226
624
292
543
1833
927
342
608
340
2864
202
418
62
396
122
S7MEDUC
1135
98
2
6777
133
390
38
82
231
244
246
687
293
388
1901
731
387
678
395
3753
243
509
88
531
169
S8MEDUC
1009
91
2
6417
108
348
33
76
214
222
213
618
263
272
1725
533
363
626
375
3518
235
473
83
497
155
S9MEDUC
868
82
2
6206
120
324
28
69
200
203
195
571
240
196
1586
381
335
581
350
3302
221
454
83
471
149
S10MEDUC
1090
87
3
7795
351
573
68
120
259
249
241
738
277
112
1663
250
423
706
476
4550
291
611
121
726
254
S11MEDUC
982
75
2
7473
275
560
67
113
253
227
215
691
259
75
1495
166
378
661
445
4256
272
569
110
704
231
Section A: Demographics, Identifiers, and Weights
16
141
|1475
|943
17.17+ yrs
Value----------------------|S1FEDUC
.D=DK
|1132
.M=Oth missing
|11
.R=RF
|
.U=Unmar
|2373
.V=Sp NR
|187
0.None
|387
1
|45
2
|98
3
|307
4
|325
5
|357
6
|765
7
|327
7.5: lt 8 yrs
|34
8
|1898
8.5:8+ yrs
|74
9
|350
10
|553
11
|246
12
|2117
13
|109
14
|256
15
|70
16
|379
17.17+ yrs
|252
S2FEDUC
1425
99
S3FEDUC
1244
116
5970
252
357
40
85
273
296
317
678
291
1866
1735
2016
316
494
226
1922
108
239
66
345
226
5658
150
313
37
79
258
289
297
640
267
1516
1611
1771
302
470
210
1809
106
225
60
331
232
S4FEDUC
1565
401
3
6869
177
417
39
108
344
342
371
787
330
1155
2046
1410
373
582
267
2428
163
326
92
462
327
S5FEDUC
1377
370
3
6538
92
392
44
95
323
326
352
737
305
833
1910
1105
348
559
254
2308
157
317
90
426
318
S6FEDUC
1250
354
3
6306
82
346
39
80
290
308
326
689
280
626
1795
828
335
526
231
2194
153
317
87
417
303
S7FEDUC
1351
474
5
6777
144
402
49
106
335
322
350
764
308
458
1925
643
373
602
273
2779
219
363
99
608
400
S8FEDUC
1197
439
5
6417
111
353
42
93
303
296
305
685
274
335
1794
462
333
551
265
2645
206
347
97
547
367
S9FEDUC
1047
406
4
6206
130
317
42
82
277
272
290
632
245
245
1643
331
314
519
249
2499
192
316
95
519
345
S10FEDUC
1363
664
5
7795
367
515
68
120
361
305
339
825
275
140
1812
219
395
646
334
3329
249
439
130
805
534
S11FEDUC
1230
613
3
7473
290
502
67
117
338
268
304
773
260
92
1645
146
357
605
315
3120
239
401
121
770
505
How Constructed:
These variables are assigned by looking at all waves of data for the first non-missing values. In Wave 1
and from Wave 4 forward, a question asks for the [father's/mother’s] years of education. Wave 2H does not
ask the question at all. In Wave 3H and in Waves 2A and 3A of the AHEAD sample, the question asks if
[he/she] attended school for 8 or more years.
Wave 1 or Waves 4 and after, are used first, if not missing. If only Wave 3H data are available or for
the AHEAD sample--Waves 2A and 3A, 7.5 yrs is assigned if less than 8 years, and 8.5 is assigned if 8 or
more.
The spouse variables SwFEDUC and SwMEDUC are taken from the spouse’s Wave 'w' RAFEDUC and RAMEDUC
variables, respectively.
Cross Wave Differences in Original HRS Data
In Wave 1 the question is: "What is the highest grade of school your father completed?". Answers are
given in years of school, 0-17.
In Wave 2H, the question is not asked at all.
In Wave 3H, and for the AHEAD sample, Waves 2A and 3A, the question is: "Did your father/mother attend 8
years or more of school?" and the possible answers are yes and no.
From Wave 4 forward, the question is similar to the Wave 1 wording: "And what is the highest grade of
school your father/mother completed?", and answers can be 0-17.
HRS Variables Used
HRS 1992:
V212
V213
AHEAD 1993:
B130
B131
AHEAD 1995:
D654
D655
HRS 1996:
A4:MOTHER-HIGHEST GRADE
A5:FATHER-HIGHEST GRADE
A4. MOTHER IN SCHOOL 8/+ YEARS
A5. FATHER IN SCHOOL 8/+ YEARS
A4.MA EDUC
A5.PA EDUC
Section A: Demographics, Identifiers, and Weights
HRS
HRS
HRS
HRS
HRS
HRS
HRS
HRS
E654
E655
1998:
F1000
F1001
2000:
G1087
G1088
2002:
HB026
HB027
2004:
JB026
JB027
2006:
KB026
KB027
2008:
LB026
LB027
2010:
MB026
MB027
2012:
NB026
NB027
A4.MOTHER EDUC
A5.FATHER EDUC
A5.PA EDUC
A6.MA EDUC
A5.PA EDUC
A6.MA EDUC
FATHER EDUCATION- HIGHEST GRADE
MOTHER EDUCATION- HIGHEST GRADE
FATHER EDUCATION- HIGHEST GRADE
MOTHER EDUCATION- HIGHEST GRADE
FATHER EDUCATION- HIGHEST GRADE
MOTHER EDUCATION- HIGHEST GRADE
FATHER EDUCATION- HIGHEST GRADE
MOTHER EDUCATION- HIGHEST GRADE
FATHER EDUCATION- HIGHEST GRADE
MOTHER EDUCATION- HIGHEST GRADE
FATHER EDUCATION- HIGHEST GRADE
MOTHER EDUCATION- HIGHEST GRADE
142
Section A: Demographics, Identifiers, and Weights
143
Current Marital Status: With partnership
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1MSTAT
R2MSTAT
R3MSTAT
R4MSTAT
R5MSTAT
R6MSTAT
R7MSTAT
R8MSTAT
R9MSTAT
R10MSTAT
R11MSTAT
R1MSTAT:W1 R
R2MSTAT:W2 R
R3MSTAT:W3 R
R4MSTAT:W4 R
R5MSTAT:W5 R
R6MSTAT:W6 R
R7MSTAT:W7 R
R8MSTAT:W8 R
R9MSTAT:W9 R
R10MSTAT:W10
R11MSTAT:W11
Marital Status
Marital Status
Marital Status
Marital Status
Marital Status
Marital Status
Marital Status
Marital Status
Marital Status
R Marital Status
R Marital Status
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1MSTAT
S2MSTAT
S3MSTAT
S4MSTAT
S5MSTAT
S6MSTAT
S7MSTAT
S8MSTAT
S9MSTAT
S10MSTAT
S11MSTAT
S1MSTAT:W1 S
S2MSTAT:W2 S
S3MSTAT:W3 S
S4MSTAT:W4 S
S5MSTAT:W5 S
S6MSTAT:W6 S
S7MSTAT:W7 S
S8MSTAT:W8 S
S9MSTAT:W9 S
S10MSTAT:W10
S11MSTAT:W11
Marital Status
Marital Status
Marital Status
Marital Status
Marital Status
Marital Status
Marital Status
Marital Status
Marital Status
S Marital Status
S Marital Status
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1MSTAT
R2MSTAT
R3MSTAT
R4MSTAT
R5MSTAT
R6MSTAT
R7MSTAT
R8MSTAT
R9MSTAT
R10MSTAT
R11MSTAT
12652
19642
17928
21360
19559
18150
20114
18467
17215
22028
20551
1.98
2.74
2.87
2.80
2.88
2.95
2.89
2.96
3.03
3.00
3.05
1.98
2.61
2.69
2.60
2.63
2.65
2.61
2.63
2.65
2.60
2.62
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
S1MSTAT
S2MSTAT
S3MSTAT
S4MSTAT
S5MSTAT
S6MSTAT
S7MSTAT
S8MSTAT
S9MSTAT
S10MSTAT
S11MSTAT
9900
13088
11915
13978
12730
11639
12972
11735
10646
13517
12490
1.08
1.07
1.06
1.08
1.08
1.08
1.10
1.11
1.11
1.17
1.18
0.38
0.41
0.35
0.37
0.39
0.39
0.43
0.44
0.46
0.55
0.56
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
3.0
8.0
6.0
3.0
3.0
5.0
5.0
7.0
8.0
8.0
7.0
Categorical Variable Codes
Value----------------------|R1MSTAT
.M=Oth missing
|
1. Married
|9837
R2MSTAT
13148
R3MSTAT
63
11792
R4MSTAT
24
13820
R5MSTAT
20
12368
R6MSTAT
15
11243
R7MSTAT
15
12515
R8MSTAT
2
11273
R9MSTAT
2
10273
R10MSTAT
6
12772
R11MSTAT
3
11753
Section A: Demographics, Identifiers, and Weights
2.
3.
4.
5.
6.
7.
8.
Married, spouse absent
Partnered
Separated
Divorced
Separated/Divorced
Widowed
Never Married
|57
|385
|310
|1080
|
|621
|362
Value----------------------|S1MSTAT
.U=Unmar
|2373
.V=Sp NR
|379
1. Married
|9492
2. Married, spouse absent |42
3. Partnered
|366
4. Separated
|
5. Divorced
|
6. Separated/Divorced
|
7. Widowed
|
8. Never Married
|
117
359
278
1005
402
3764
569
155
380
S2MSTAT
5970
584
12701
22
321
18
11
144
153
520
282
1598
1
4094
543
166
450
259
1523
1
4030
478
187
650
323
1859
1537
3590
474
144
551
331
1707
4
4199
604
S3MSTAT
5658
418
11484
124
301
S4MSTAT
6869
537
13373
124
481
S5MSTAT
6538
311
12124
141
465
S6MSTAT
6306
220
11075
152
405
6
1
S7MSTAT
6777
380
12219
168
581
3
1
3949
631
161
618
277
1741
8
3843
546
140
598
277
1682
6
3726
513
296
1171
462
2500
17
3733
1077
212
1116
444
2364
13
3643
1006
S8MSTAT
6417
317
11027
152
553
2
S9MSTAT
6206
365
9993
123
524
2
S10MSTAT
7795
722
12218
256
1038
2
1
S11MSTAT
7473
591
11309
180
989
7
2
1
3
1
1
1
3
6
7
8
How Constructed:
This variable is created using current marital status reported for each wave.
For Wave 3A of AHEAD, and
from Wave 4 forward, a cleaned version of marital status is used, which fills missing marital status
using cover sheet data and marital events reported between interviews.
The codes for separation and divorce are combined in Waves 2A, 3A, and 3H; a separate category is used
for this ambiguous state. For all waves, RwMSTAT combines "Married, spouse absent" as one category,
rather than separating spouse in institution vs. not. HRS wave 1 imputations are not used at all.
From wave 7 and forward, some cases report a marital status of annulled, which is treated the same as
never married.
The RwMSTAT variables code partnerships, which override the actual marital status that is available for
most cases only from Wave 4 forward. Some cases report an unmarried status but have a partner in the
same household, particularly in Wave 2. RwMSTAT retains the reported unmarried status. RwMPART
indicates the presence of a partner regardless of the RwMSTAT code. Please see RwMPART description for
details.
The RwMSTATH variables do not code partnerships, and actual marital status replaces the partnership code
if it can be determined. Please see the description of RwMSTATH variables for details.
The spouse variable SwMSTAT is taken from the spouse's data for Wave w. It is set to .U if R is unmarried
or unpartnered or .V if R's spouse or partner did not respond in a given wave.
There are four individuals where discrepancies in reported marital status and partnership were found.
These are resolved, and RwMSTAT and RwMPART are set based on examination of all available data for the
individuals and their spouse/partners from all waves.
Cross Wave Differences in Original HRS Data
The asking and coding of marital status differs from wave to wave. In Waves 1 and 2H respondents are
specifically asked their marital status as married, partnered, separated, divorced, widowed or never
married. The marital status in the public use data also includes a "Married, spouse absent" status that
is split between those whose spouse is in a nursing home and whose spouse is not institutionalized. In
Wave 2A, a single item is used to assess marital status. Response categories include married (spouse
present), married (spouse absent), living with someone, separated/divorced, widowed, and never married.
The separated and divorced categories are not coded separately.
In Wave 3H, the respondent is not asked marital status; it is derived from preloaded marital status and a
series of questions in the Cover Sheet section. There is a "corrected" marital status included in the
Wave 3H public use data. In addition, the separated and divorced statuses are not coded separately. In
Waves 1, 2, and 3H, partnership overrides any other marital status. Marital status in Wave 3A is also
derived using questions from the Cover Sheet section. The separated and divorced statuses are in a
single category, and partnership overrides any other marital status.
Section A: Demographics, Identifiers, and Weights
145
Beginning in Wave 4, all partnered and unmarried single respondents are asked marital status. Through
Wave 6, the status must be an unmarried status, treating separated as an unmarried category apart from
divorced. Beginning in Wave 7, both married and annulled may be coded, in addition to the unmarried
statuses allowed in prior waves. Marital status in the raw data is set to married or separated for
respondents determined to have these statuses from Cover Sheet section questions. There is no distinction
made between spouse present and spouse absent in the raw marital status variable, but this information is
available from other questions in the Cover Sheet section.
The Cover Sheet Section sequence of questions that lead to a marital status and determination of
"coupleness", are included in the data starting in Wave 3. These questions are examined to help set the
cleaned marital status used to derive RwMSTAT.
Respondents who have an unmarried to married transition between interviews, or vice versa, are asked
about marriages and ends of marriages (divorce or widowhood) that may have occurred between interviews at
all waves after the initial interview in which a respondent appears.
From Wave 4 forward, some partners appear to have married based on these reported marital transitions.
These cases often report "other" in response to the question about specific unmarried status; note that
"married" is not allowed in response to this question in Waves 4 to 6. Cases with both a reported
marital event and a report of "other" marital status are set to married in the cleaned versions of
marital status used in deriving RwMSTAT.
HRS Variables Used
HRS 1992:
V10225
V225
AHEAD 1993:
B150
HRS 1994:
W200
AHEAD 1995:
D226
D227
D230
D231
D233
D234
D240
D241
D246
DMSTATR
HRS 1996:
E256A
HRS 1998:
F1059
F1066
F1070
F1071
F461
F462
F475
F502
F504
F507
F508
F517
F521
F524
F528
F529
F546
FMARSTP
A10:CURRENT MAR STAT:IND
A10:CURRENT MARR STA:IMP
A11. R'S MARITAL STATUS
A1. Marital Status
CS4.R SAME SP/P
CS5.SP/P ALIVE
CS7.W1 COUPLE NEW SP
CS8.W1 COUPLE PARTNER
CS9.W1 ONLY NEW SP
CS10.W1 ONLY NEW PARTNER
CS11.R-WHERE LIVE
CS12.COUPLE LIVE TOGETHER
CS13.SP/P WHERE LIVE
HRS 95: Marital Status (w/ partnered)
MARRIAGE STATUS - CORRECTED
A40.POST W1 MARRIAGE START
A41.POST W1 DIV/WIDOWED
A43.MARITAL STATUS IF UNMARRIED
A43A.MARITAL STATUS, ASSIGNED
PRELOAD COHORT
PRELOAD MARITAL STATUS
WHICH IW 1ST R/2ND R
CS4.1ST R SAME SPOUSE/P
CS5.PRELOAD SPOUSE/P ALIVE
CS7.1ST R MARRIED
CS8.COUPLE PARTNER
CS11.R IN NURSING HOME
CS12.COUPLE LIVE TOGETHER
CS14.SP/P WHERE LIVE
CS15A.MARRIED OR SEPARATED
CS15B.SEPARATED:PARTNERED?
CS15D.CURRENT COUPLENESS
HRS 98: Marital Status (w/ partnered)
Section A: Demographics, Identifiers, and Weights
HRS 2000:
G1146
G1153
G1157
G1158
G482
G483
G506
G543
G545
G548
G549
G558
G562
G565
G569
G570
G597
GMARSTP
HRS 2002:
HA020
HA023
HA026
HA027
HA028
HA030
HA033
HA034
HA035
HB055
HB058
HB061
HMARITAL
HMARSTP
HX065_R
HZ023
HRS 2004:
JA020
JA023
JA026
JA027
JA028
JA030
JA033
JA034
JA035
JB055
JB058
JB061
JB063
JX065_R
JZ023
HHID
JSUBHH
HRS 2006:
KA020
KA023
KA026
KA027
KA028
KA030
KA033
KA034
A40.POST W1 MARRIAGE START
A41.POST W1 DIV/WIDOWED
A43.MARITAL STATUS IF UNMARRIED
A43A.MARITAL STATUS_ASSIGNED
CS0Y9.PRELOAD ENTRY COHORT
CS0Y9A.PRELOAD MARITAL STATUS
CS0Y21.WHICH IW 1ST R/2ND R
CS4.1ST R SAME SPOUSE/P
CS5.PRELOAD SPOUSE/P ALIVE
CS7.1ST R MARRIED
CS8.COUPLE PARTNER
CS11.R IN NURSING HOME
CS12.COUPLE LIVE TOGETHER
CS14.SP/P WHERE LIVE
CS15A.MARRIED OR SEPARATED
CS15B.SEPARATED:PARTNERED?
CS15D.CURRENT COUPLENESS
HRS 00: Marital Status (w/ partnered)
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
R MARRIED
LIVING W/P
R IN NURSING HOME
COUPLE LIVE TOGETHER
SP/P IN NURSHOME
MARRIED OR SEPARATED
SEPARATED/PARTNERED
NEW MARRIAGE SINCE PREVIOUS WAVE
DIVORCE/WIDOW SINCE PREVIOUS WAVE
MARITAL STATUS IF UNMARRIED
MARITAL STATUS
HRS 02: Marital Status (w/ partnered)
COUPLENESS STATUS - UPDATED
WHICH COHORT
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
R MARRIED
LIVING W/P
R IN NURSING HOME
COUPLE LIVE TOGETHER
SP/P IN NURSHOME
MARRIED OR SEPARATED
SEPARATED/PARTNERED
NEW MARRIAGE SINCE PREVIOUS WAVE
DIVORCE/WIDOW SINCE PREVIOUS WAVE
MARITAL STATUS IF UNMARRIED
MARITAL STATUS ASSIGNED
COUPLENESS STATUS - UPDATED
WHICH COHORT
HOUSEHOLD IDENTIFIER
2004 SUB-HOUSEHOLD INDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
R MARRIED
LIVING W/P
R IN NURSING HOME
COUPLE LIVE TOGETHER
SP/P IN NURSHOME
MARRIED OR SEPARATED
146
Section A: Demographics, Identifiers, and Weights
KA035
KB055
KB058
KB061
KB063
KX065_R
KZ023
HHID
KSUBHH
HRS 2008:
LA020
LA023
LA026
LA027
LA028
LA030
LA033
LA034
LA035
LB055
LB058
LB061
LB063
LX065_R
LZ023
HHID
LSUBHH
HRS 2010:
MA020
MA023
MA026
MA027
MA028
MA030
MA033
MA034
MA035
MB055
MB058
MB061
MB063
MX065_R
MZ023
HHID
MSUBHH
HRS 2012:
NA020
NA023
NA026
NA027
NA028
NA030
NA033
NA034
NA035
NB055
NB058
NB061
NB063
NX065_R
NZ024
HHID
NSUBHH
SEPARATED/PARTNERED
NEW MARRIAGE SINCE PREVIOUS WAVE
DIVORCE/WIDOW SINCE PREVIOUS WAVE
MARITAL STATUS IF UNMARRIED
MARITAL STATUS ASSIGNED
COUPLENESS STATUS - UPDATED
WHICH COHORT
HOUSEHOLD IDENTIFIER
2006 SUB-HOUSEHOLD IDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
R MARRIED
LIVING W/P
R IN NURSING HOME
COUPLE LIVE TOGETHER
SP/P IN NURSHOME
MARRIED OR SEPARATED
SEPARATED/PARTNERED
NEW MARRIAGE SINCE PREVIOUS WAVE
DIVORCE/WIDOW SINCE PREVIOUS WAVE
MARITAL STATUS IF UNMARRIED
MARITAL STATUS ASSIGNED
COUPLENESS STATUS - UPDATED
PREV WAVE WHICH COHORT
HOUSEHOLD IDENTIFIER
2008 SUB-HOUSEHOLD IDENTFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
R MARRIED
LIVING W/P
R IN NURSING HOME
COUPLE LIVE TOGETHER
SP/P IN NURSHOME
MARRIED OR SEPARATED
SEPARATED/PARTNERED
NEW MARRIAGE SINCE PREVIOUS WAVE
DIVORCE/WIDOW SINCE PREVIOUS WAVE
MARITAL STATUS IF UNMARRIED
MARITAL STATUS ASSIGNED
COUPLENESS STATUS OF INDIVIDUAL-UPDATED
PREV WAVE WHICH COHORT -1
HOUSEHOLD IDENTIFIER
2010 SUB-HOUSEHOLD IDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
R MARRIED
LIVING W/P
R IN NURSING HOME
COUPLE LIVE TOGETHER
SP/P IN NURSHOME
MARRIED OR SEPARATED
SEPARATED/PARTNERED
NEW MARRIAGE SINCE PREVIOUS WAVE
DIVORCE/WIDOW SINCE PREVIOUS WAVE
MARITAL STATUS IF UNMARRIED
MARITAL STATUS ASSIGNED
COUPLENESS STATUS OF INDIVIDUAL-UPDATED
PREV WAVE HH INTERVIEWED IN PRIOR WAVE -1
HOUSEHOLD IDENTIFIER
2012 SUB-HOUSEHOLD IDENTIFIER
147
Section A: Demographics, Identifiers, and Weights
Tracker:
ASUBHH
BSUBHH
CSUBHH
DSUBHH
ESUBHH
FSUBHH
GSUBHH
HHID
HSUBHH
JSUBHH
KSUBHH
LSUBHH
MSUBHH
NSUBHH
1992 SUB-HOUSEHOLD IDENTIFIER
1993 SUB-HOUSEHOLD IDENTIFIER
1994 SUB-HOUSEHOLD IDENTIFIER
1995 SUB-HOUSEHOLD IDENTIFIER
1996 SUB-HOUSEHOLD IDENTIFIER
1998 SUB-HOUSEHOLD IDENTIFIER
2000 SUB-HOUSEHOLD IDENTIFIER
HOUSEHOLD IDENTIFIER
2002 SUB-HOUSEHOLD INDENTIFIER
2004 SUB-HOUSEHOLD INDENTIFIER
2006 SUB-HOUSEHOLD IDENTIFIER
2008 SUB-HOUSEHOLD IDENTFIER
2010 SUB-HOUSEHOLD IDENTIFIER
2012 SUB-HOUSEHOLD IDENTIFIER
148
Section A: Demographics, Identifiers, and Weights
149
Current Marital Status: Current Partnership Status
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1MPART
R2MPART
R3MPART
R4MPART
R5MPART
R6MPART
R7MPART
R8MPART
R9MPART
R10MPART
R11MPART
R1MPART:W1 R
R2MPART:W2 R
R3MPART:W3 R
R4MPART:W4 R
R5MPART:W5 R
R6MPART:W6 R
R7MPART:W7 R
R8MPART:W8 R
R9MPART:W9 R
R10MPART:W10
R11MPART:W11
partnered
partnered
partnered
partnered
partnered
partnered
partnered
partnered
partnered
R partnered
R partnered
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1MPART
S2MPART
S3MPART
S4MPART
S5MPART
S6MPART
S7MPART
S8MPART
S9MPART
S10MPART
S11MPART
S1MPART:W1 S
S2MPART:W2 S
S3MPART:W3 S
S4MPART:W4 S
S5MPART:W5 S
S6MPART:W6 S
S7MPART:W7 S
S8MPART:W8 S
S9MPART:W9 S
S10MPART:W10
S11MPART:W11
partnered
partnered
partnered
partnered
partnered
partnered
partnered
partnered
partnered
S partnered
S partnered
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1MPART
R2MPART
R3MPART
R4MPART
R5MPART
R6MPART
R7MPART
R8MPART
R9MPART
R10MPART
R11MPART
12652
19642
17991
21384
19579
18165
20129
18469
17217
22034
20554
0.03
0.02
0.02
0.03
0.03
0.02
0.03
0.03
0.03
0.05
0.05
0.17
0.14
0.14
0.16
0.16
0.16
0.18
0.18
0.18
0.22
0.23
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S1MPART
S2MPART
S3MPART
S4MPART
S5MPART
S6MPART
S7MPART
S8MPART
S9MPART
S10MPART
S11MPART
9900
13088
11915
13978
12730
11639
12972
11735
10646
13517
12490
0.04
0.03
0.03
0.03
0.04
0.03
0.04
0.05
0.05
0.08
0.08
0.19
0.16
0.16
0.18
0.19
0.18
0.21
0.21
0.22
0.27
0.27
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Categorical Variable Codes
Value----------------------|R1MPART
0.no
|12267
1.yes
|385
R2MPART
19234
408
R3MPART
17605
386
R4MPART
20833
551
R5MPART
19059
520
R6MPART
17715
450
R7MPART
19479
650
R8MPART
17851
618
R9MPART
16619
598
R10MPART
20863
1171
R11MPART
19438
1116
Section A: Demographics, Identifiers, and Weights
Value----------------------|S1MPART
.U=Unmar
|2373
.V=Sp NR
|379
0.no
|9534
1.yes
|366
S2MPART
5970
584
12723
365
S3MPART
5658
418
11608
307
150
S4MPART
6869
537
13497
481
S5MPART
6538
311
12265
465
S6MPART
6306
220
11234
405
S7MPART
6777
380
12391
581
S8MPART
6417
317
11182
553
S9MPART
6206
365
10122
524
S10MPART
7795
722
12479
1038
S11MPART
7473
591
11501
989
How Constructed:
Marital status RwMSTAT indicates partnership, that is, living with a partner who is not R's spouse. In
addition some cases report an unmarried status but have a partner in the same household. Another living
individual with the same HHID and sub-household ID on the Tracker file or in the core data indicates the
presence of a partner when R gives an unmarried status. From Wave 4 forward, the "coupleness" code in the
Cover Sheet section can also indicate a partnership. RwMPART indicates the presence of a partner
regardless of the RwMSTAT code.
The spouse variable SwMPART is taken from the spouse's data for Wave w. In some cases, the spouse and
respondent disagree as to whether they are married or partnered, so RwMPART and SwMPART are not always
the same in a given wave. SwMPART is set to .U if R is unmarried and unpartnered or .V if R's spouse or
partner did not respond in a given wave.
Cross Wave Differences in Original HRS Data
Partnership is indicated by a marital status code in Waves 1 to 3H.
by a separate Cover Sheet section variable.
From Wave 4 forward, it is indicated
Partnership can also be indicated by a non-married status when the household is a couple rather than
single in any wave.
Beginning with Tracker 2002.V2 the surviving spouse sometimes retains the spouse PN of the deceased
respondent. In previous versions of Tracker this was not the case.
HRS Variables Used
HRS 1992:
V10225
V225
AHEAD 1993:
B150
HRS 1994:
W200
AHEAD 1995:
DMSTATR
HRS 1996:
E256A
HRS 1998:
F1071
F546
FMARSTP
HRS 2000:
G1158
G597
GMARSTP
HRS 2002:
HMARITAL
HMARSTP
HPN_SP
HX065_R
HSUBHH
HRS 2004:
JPN_SP
JX065_R
JSUBHH
HRS 2006:
A10:CURRENT MAR STAT:IND
A10:CURRENT MARR STA:IMP
A11. R'S MARITAL STATUS
A1. Marital Status
HRS 95: Marital Status (w/ partnered)
MARRIAGE STATUS - CORRECTED
A43A.MARITAL STATUS, ASSIGNED
CS15D.CURRENT COUPLENESS
HRS 98: Marital Status (w/ partnered)
A43A.MARITAL STATUS_ASSIGNED
CS15D.CURRENT COUPLENESS
HRS 00: Marital Status (w/ partnered)
MARITAL STATUS
HRS 02: Marital Status (w/ partnered)
2002 SPOUSE/PARTNER PERSON NUMBER
COUPLENESS STATUS - UPDATED
2002 SUB-HOUSEHOLD INDENTIFIER
2004 SPOUSE/PARTNER PERSON NUMBER
COUPLENESS STATUS - UPDATED
2004 SUB-HOUSEHOLD INDENTIFIER
Section A: Demographics, Identifiers, and Weights
KPN_SP
KX065_R
KSUBHH
HRS 2008:
LPN_SP
LX065_R
LSUBHH
HRS 2010:
MPN_SP
MX065_R
MSUBHH
HRS 2012:
NPN_SP
NX065_R
NSUBHH
Tracker:
APPN
ASUBHH
BPPN
BSUBHH
CALIVE
CPPN
CSUBHH
DALIVE
DPPN
DSUBHH
EALIVE
EPPN
ESUBHH
FALIVE
FPPN
FSUBHH
GALIVE
GPPN
GSUBHH
HALIVE
HHID
HPPN
HSUBHH
JALIVE
JPPN
JSUBHH
KALIVE
KPPN
KSUBHH
LALIVE
LPPN
LSUBHH
MALIVE
MPPN
MSUBHH
NALIVE
NPPN
NSUBHH
2006 SPOUSE/PARTNER PERSON NUMBER
COUPLENESS STATUS - UPDATED
2006 SUB-HOUSEHOLD IDENTIFIER
2008 SPOUSE/PARTNER PERSON NUMBER
COUPLENESS STATUS - UPDATED
2008 SUB-HOUSEHOLD IDENTFIER
2010 SPOUSE/PARTNER PERSON NUMBER
COUPLENESS STATUS OF INDIVIDUAL-UPDATED
2010 SUB-HOUSEHOLD IDENTIFIER
2012 SPOUSE/PARTNER PERSON NUMBER
COUPLENESS STATUS OF INDIVIDUAL-UPDATED
2012 SUB-HOUSEHOLD IDENTIFIER
1992 SPOUSE-PARTNER PERSON NUMBER
1992 SUB-HOUSEHOLD IDENTIFIER
1993 SPOUSE-PARTNER PERSON NUMBER
1993 SUB-HOUSEHOLD IDENTIFIER
1994 VITAL STATUS
1994 SPOUSE-PARTNER PERSON NUMBER
1994 SUB-HOUSEHOLD IDENTIFIER
1995 VITAL STATUS
1995 SPOUSE-PARTNER PERSON NUMBER
1995 SUB-HOUSEHOLD IDENTIFIER
1996 VITAL STATUS
1996 SPOUSE-PARTNER PERSON NUMBER
1996 SUB-HOUSEHOLD IDENTIFIER
1998 VITAL STATUS
1998 SPOUSE-PARTNER PERSON NUMBER
1998 SUB-HOUSEHOLD IDENTIFIER
2000 VITAL STATUS
2000 SPOUSE-PARTNER PERSON NUMBER
2000 SUB-HOUSEHOLD IDENTIFIER
2002 VITAL STATUS
HOUSEHOLD IDENTIFIER
2002 SPOUSE-PARTNER PERSON NUMBER
2002 SUB-HOUSEHOLD INDENTIFIER
2004 VITAL STATUS
2004 SPOUSE-PARTNER PERSON NUMBER
2004 SUB-HOUSEHOLD INDENTIFIER
2006 VITAL STATUS
2006 SPOUSE-PARTNER PERSON NUMBER
2006 SUB-HOUSEHOLD IDENTIFIER
2008 VITAL STATUS
2008 SPOUSE-PARTNER PERSON NUMBER
2008 SUB-HOUSEHOLD IDENTFIER
2010 VITAL STATUS
2010 SPOUSE-PARTNER PERSON NUMBER
2010 SUB-HOUSEHOLD IDENTIFIER
2012 VITAL STATUS
2012 SPOUSE-PARTNER PERSON NUMBER
2012 SUB-HOUSEHOLD IDENTIFIER
151
Section A: Demographics, Identifiers, and Weights
152
Current Marital Status: Without partnership
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1MSTATH
R2MSTATH
R3MSTATH
R4MSTATH
R5MSTATH
R6MSTATH
R7MSTATH
R8MSTATH
R9MSTATH
R10MSTATH
R11MSTATH
R1MSTATH:W1 R
R2MSTATH:W2 R
R3MSTATH:W3 R
R4MSTATH:W4 R
R5MSTATH:W5 R
R6MSTATH:W6 R
R7MSTATH:W7 R
R8MSTATH:W8 R
R9MSTATH:W9 R
R10MSTATH:W10
R11MSTATH:W11
MarStat-w/o part,filled
MarStat-w/o part,filled
MarStat-w/o part,filled
MarStat-w/o part,filled
MarStat-w/o part,filled
MarStat-w/o part,filled
MarStat-w/o part,filled
MarStat-w/o part,filled
MarStat-w/o part,filled
R MarStat-w/o part,filled
R MarStat-w/o part,filled
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1MSTATH
S2MSTATH
S3MSTATH
S4MSTATH
S5MSTATH
S6MSTATH
S7MSTATH
S8MSTATH
S9MSTATH
S10MSTATH
S11MSTATH
S1MSTATH:W1 S
S2MSTATH:W2 S
S3MSTATH:W3 S
S4MSTATH:W4 S
S5MSTATH:W5 S
S6MSTATH:W6 S
S7MSTATH:W7 S
S8MSTATH:W8 S
S9MSTATH:W9 S
S10MSTATH:W10
S11MSTATH:W11
MarStat-w/o part,filled
MarStat-w/o part,filled
MarStat-w/o part,filled
MarStat-w/o part,filled
MarStat-w/o part,filled
MarStat-w/o part,filled
MarStat-w/o part,filled
MarStat-w/o part,filled
MarStat-w/o part,filled
S MarStat-w/o part,filled
S MarStat-w/o part,filled
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
R1MSTATF
R2MSTATF
R3MSTATF
R4MSTATF
R5MSTATF
R6MSTATF
R7MSTATF
R8MSTATF
R9MSTATF
R10MSTATF
R11MSTATF
R1MSTATF:W1 R
R2MSTATF:W2 R
R3MSTATF:W3 R
R4MSTATF:W4 R
R5MSTATF:W5 R
R6MSTATF:W6 R
R7MSTATF:W7 R
R8MSTATF:W8 R
R9MSTATF:W9 R
R10MSTATF:W10
R11MSTATF:W11
MStatH-Flag diff w/marhist
MStatH-Flag diff w/marhist
MStatH-Flag diff w/marhist
MStatH-Flag diff w/marhist
MStatH-Flag diff w/marhist
MStatH-Flag diff w/marhist
MStatH-Flag diff w/marhist
MStatH-Flag diff w/marhist
MStatH-Flag diff w/marhist
R MStatH-Flag diff w/marhist
R MStatH-Flag diff w/marhist
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1MSTATF
S2MSTATF
S3MSTATF
S4MSTATF
S5MSTATF
S6MSTATF
S7MSTATF
S8MSTATF
S9MSTATF
S10MSTATF
S11MSTATF
S1MSTATF:W1 S
S2MSTATF:W2 S
S3MSTATF:W3 S
S4MSTATF:W4 S
S5MSTATF:W5 S
S6MSTATF:W6 S
S7MSTATF:W7 S
S8MSTATF:W8 S
S9MSTATF:W9 S
S10MSTATF:W10
S11MSTATF:W11
MStatH-Flag diff w/marhist
MStatH-Flag diff w/marhist
MStatH-Flag diff w/marhist
MStatH-Flag diff w/marhist
MStatH-Flag diff w/marhist
MStatH-Flag diff w/marhist
MStatH-Flag diff w/marhist
MStatH-Flag diff w/marhist
MStatH-Flag diff w/marhist
S MStatH-Flag diff w/marhist
S MStatH-Flag diff w/marhist
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
R1MSTATH
R2MSTATH
R3MSTATH
R4MSTATH
R5MSTATH
12652
19642
17988
21380
19579
Mean
2.08
2.79
2.84
2.88
2.96
Std Dev
2.16
2.65
2.65
2.65
2.68
Minimum
1.0
1.0
1.0
1.0
1.0
Maximum
9.0
9.0
9.0
9.0
9.0
Section A: Demographics, Identifiers, and Weights
153
R6MSTATH
R7MSTATH
R8MSTATH
R9MSTATH
R10MSTATH
R11MSTATH
18165
20123
18469
17217
22030
20554
3.03
2.98
3.05
3.13
3.15
3.21
2.70
2.67
2.69
2.71
2.70
2.71
1.0
1.0
1.0
1.0
1.0
1.0
8.0
8.0
8.0
8.0
9.0
9.0
S1MSTATH
S2MSTATH
S3MSTATH
S4MSTATH
S5MSTATH
S6MSTATH
S7MSTATH
S8MSTATH
S9MSTATH
S10MSTATH
S11MSTATH
9900
13088
11915
13978
12730
11639
12972
11735
10646
13517
12490
1.21
1.15
1.13
1.18
1.19
1.19
1.23
1.25
1.26
1.40
1.41
1.13
0.94
0.79
0.92
0.94
0.93
1.05
1.09
1.11
1.37
1.40
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
9.0
9.0
9.0
9.0
9.0
8.0
8.0
8.0
8.0
9.0
9.0
R1MSTATF
R2MSTATF
R3MSTATF
R4MSTATF
R5MSTATF
R6MSTATF
R7MSTATF
R8MSTATF
R9MSTATF
R10MSTATF
R11MSTATF
12652
19642
17991
21384
19579
18165
20129
18469
17217
22034
20554
0.00
0.03
0.01
0.04
0.07
0.08
0.06
0.06
0.07
0.05
0.07
0.00
0.33
0.14
0.43
0.53
0.59
0.52
0.52
0.54
0.45
0.53
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
S1MSTATF
S2MSTATF
S3MSTATF
S4MSTATF
S5MSTATF
S6MSTATF
S7MSTATF
S8MSTATF
S9MSTATF
S10MSTATF
S11MSTATF
9900
13088
11915
13978
12730
11639
12972
11735
10646
13517
12490
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.04
0.00
0.03
0.04
0.04
0.03
0.03
0.04
0.04
0.07
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
3.0
0.0
2.0
2.0
3.0
2.0
1.0
2.0
2.0
2.0
Categorical Variable Codes
Value----------------------|R1MSTATH
.M=Oth missing
|
1.Married
|9837
2.Married,sp abs
|57
4.Separated
|360
5.Divorced
|1217
6.Sep/Div
|
7.Widowed
|649
8.Never married
|428
9.Unknown unmar
|104
R2MSTATH R3MSTATH
3
13148
11792
117
155
434
367
1321
1376
111
70
3806
3678
627
537
78
13
R4MSTATH
4
13820
144
390
2008
1
4317
691
9
R5MSTATH R6MSTATH R7MSTATH
6
12368
11243
12515
153
166
187
331
289
356
1900
1776
2232
4203
619
5
4155
536
Value----------------------|S1MSTATH
.U=Unmar
|2373
.V=Sp NR
|379
1.Married
|9492
2.Married,sp abs
|42
4.Separated
|46
5.Divorced
|131
6.Sep/Div
|
7.Widowed
|26
8.Never married
|63
9.Unknown unmar
|100
S2MSTATH
5970
584
12701
22
71
113
1
44
62
74
S3MSTATH
5658
418
11484
124
62
135
S4MSTATH
6869
537
13373
124
43
253
S5MSTATH
6538
311
12124
141
38
254
54
44
12
104
73
8
100
68
5
R8MSTATH R9MSTATH
R10MSTATH
4
12772
296
566
3124
1
3943
1325
3
R11MSTATH
11273
161
313
2082
10274
140
299
2023
11753
212
520
2977
4096
737
3996
644
3879
602
S6MSTATH
6306
220
11075
152
25
220
S7MSTATH
6777
380
12219
168
32
327
S8MSTATH
6417
317
11027
152
30
299
S9MSTATH
6206
365
9993
123
20
296
S10MSTATH
7795
722
12218
256
88
539
S11MSTATH
7473
591
11309
180
65
531
116
51
130
96
137
90
134
80
183
231
2
189
213
3
3858
1231
3
Section A: Demographics, Identifiers, and Weights
Value----------------------|R1MSTATF
0.No discrepancy
|12652
1.MS=nev,marhis=evmar
|
2.MS=evmar,marhis=nev
|
3.MS=sep,marhis=wid/div
|
5.Othr dif unmarried MS
|
R2MSTATF
19497
29
20
24
72
R3MSTATF
17943
23
15
Value----------------------|S1MSTATF
.U=Unmar
|2373
.V=Sp NR
|379
0.No discrepancy
|9900
1.MS=nev,marhis=evmar
|
2.MS=evmar,marhis=nev
|
3.MS=sep,marhis=wid/div
|
S2MSTATF
5970
584
13085
S3MSTATF
5658
418
11915
1
2
10
154
R4MSTATF
21150
33
36
18
147
R5MSTATF
19239
52
43
43
202
R6MSTATF
17799
41
43
46
236
R7MSTATF
19799
49
39
41
201
R8MSTATF
18150
52
40
49
178
R9MSTATF
16891
61
37
53
175
R10MSTATF
21715
84
37
45
153
R11MSTATF
20119
115
56
72
192
S4MSTATF
6869
537
13974
2
2
S5MSTATF
6538
311
12719
7
4
S6MSTATF
6306
220
11630
7
1
1
S7MSTATF
6777
380
12964
7
1
S8MSTATF
6417
317
11727
8
S9MSTATF
6206
365
10631
13
2
S10MSTATF
7795
722
13502
14
1
S11MSTATF
7473
591
12459
23
8
How Constructed:
This variable is created using current marital status reported for each wave.
For Wave 3A, and from
Wave 4 forward, a cleaned version of marital status is used, which fills missing marital status using
cover sheet data and marital events reported between interviews.
The RwMSTAT variables code partnerships, which override actual marital status. Before Wave 4, partnered
couples were not asked for their unmarried status. Beginning in Wave 4, those not living with another and
those living as unmarried partners were asked for their ummarried status. Please see the description of
RwMSTAT and RwMPART variables for details.
The RwMSTATH variables are derived from RwMSTAT but do not code partnerships, and actual marital status
replaces the partnership code if it can be determined. For instance, because partners were specifically
asked actual marital status from Waves 4 forward, many partner marital statuses can be carried back to
prior waves if no intervening marital events have occurred. Marital events can also indicate marital
status of a partnered respondent, e.g., a number of partners report a widowhood or divorce, followed
closely by a marriage to the partner. When the actual marital status cannot be determined RwMSTATH is
set to an unknown unmarried status (=9). Marital status for partners can sometimes also be determined at
their first interview from retrospective marriage history information. From wave 7 and forward, some
cases report a marital status of annulled, which is treated the same as never married.
The codes for separation and divorce are combined in Waves 2A, 3A, and 3H; a separate category is used
for this ambiguous state. Information from previous and subsequent wave marital status, marital events
reported, marital history, and spouse marital status are used to distinguish between separation and
divorce in these waves when possible. For all waves, this variable combines "Married, spouse absent" as
one category, rather than separating spouse in institution vs not. HRS wave 1 imputations are not used at
all.
The RwMSTATF variables compare RwMSTATH with marital status reported in other waves and those derived
from marital history. For instance, some cases switch between unmarried statuses across waves, e.g.,
from divorced to never married. RwMSTATF flags these seemingly illogical differences, distinguishing
between ever married and never married discrepancies and those of other types.
RwMSTATH may have a value when RwMSTAT is missing.
these cases.
The analyst may want to fill RwMSTAT from RwMSTATH in
The spouse variable SwMSTATH is taken from the spouse's data for Wave w. It is set to .U if R is
unmarried or unpartnered or .V if R's spouse or partner did not respond in a given wave.
Cross Wave Differences in Original HRS Data
The asking and coding of marital status differs from wave to wave. In Waves 1 and 2H respondents are
specifically asked their marital status as married, partnered, separated, divorced, widowed or never
married. The marital status in the public use data also includes a "Married, spouse absent" status that
is split between those whose spouse is in a nursing home and whose spouse is not institutionalized. In
Wave 2A, a single item is used to assess marital status. Response categories include married (spouse
present), married (spouse absent), living with someone, separated/divorced, widowed, and never married.
The separated and divorced categories are not coded separately.
Section A: Demographics, Identifiers, and Weights
155
In Wave 3H, the respondent is not asked marital status; it is derived from preloaded marital status and a
series of questions in the Cover Sheet section. There is a "corrected" marital status included in the
Wave 3h public use data. In addition, the separated and divorced statuses are not coded separately. In
Waves 1, 2, and 3H, partnership overrides any other marital status. Marital status in Wave 3A is also
derived using questions from the Cover Sheet section. The separated and divorced statuses are in a
single category, and partnership overrides any other marital status.
Beginning in Wave 4, all partnered and unmarried single respondents are asked marital status. Through
Wave 6, the status must be an unmarried status, treating separated as an unmarried category apart from
divorced. Beginning in Wave 7, married or annulled may be coded in addition to the unmarried statuses.
Marital status in the raw data is set to married or separated for respondents determined to have these
statuses from Cover Sheet section questions. There is no distinction made between spouse present and
spouse absent in the raw marital status variable, but this information is available from other questions
in the Cover Sheet section.
The Cover Sheet Section sequence of questions that lead to a marital status and determination of
"coupleness", are included in the data starting in Wave 3. These questions are examined to help set the
cleaned marital status used to derive RwMSTAT.
Respondents who have an unmarried to married transition between interviews, or vice versa, are asked
about marriages and ends of marriages (divorce or widowhood) that may have occurred between interviews at
all waves after the initial interview in which a respondent appears.
From Wave 4 forward, some partners appear to have married based on
These cases often report "other" in response to the question about
"married" is not allowed in response to this question. Cases with
report of "other" marital status are set to married in the cleaned
deriving RwMSTAT.
these reported marital transitions.
specific unmarried status; note that
both a reported marital event and a
versions of marital status used in
Marriage history is asked of individuals at the first interview to which they respond. The questions
generally proceed from current marital status and ask number of marriages, the date the first and most
recent marriage began, and either the length or end date of those marriages. For previous marriages,
questions ask how it ended. In Wave 1, partnered respondents are asked the timing of their most recent
marriage but not how it ended. For Wave 2A, partnered respondents who report being previously married are
asked how the marriage ended, and the number of years they were married. For new respondents in Wave 2H
the most recent marriage is only asked about if it is also the first. From Wave 3 forward, new
respondents are asked how the most recent marriage ended if ever married.
HRS Variables Used
HRS 1992:
V10225
V225
V228
V232
V233
AHEAD 1993:
B150
B158
B160
B166
HRS 1994:
W200
W207
W208
W210
AHEAD 1995:
D676
D677
D680
D684
DMSTATR
A10:CURRENT MAR STAT:IND
A10:CURRENT MARR STA:IMP
A10B:EVER BEEN MARRIED
A10E:LAST MARR END-MO
A10E:LAST MARR END-YEAR
A11. R'S MARITAL STATUS
A11c. LIVE TGHR: EVER MARRIED
A11e. LIVE TGHR: DIVORCED OR WIDOWED
A13. # OF MARRIAGES EVER
A1.
A6.
A7.
A9.
Marital Status
Ever Been Married?
Number of Times Married
Marriage End Divorce/Widow
A21.L-EVER MARRIED
A21A.# MARRIAGES
A22B.FIRST MAR-END DIV/WID
A23B.RECENT MAR-END DIV/WID
HRS 95: Marital Status (w/ partnered)
Section A: Demographics, Identifiers, and Weights
HRS 1996:
E256A
E676
E677
E680
E684
HRS 1998:
F1059
F1066
F1070
F1071
F1072
F1075
F1087
F461
F462
F475
F502
F504
F507
F508
F517
F521
F524
F528
F529
F546
FMARST
FMARSTP
HRS 2000:
G1146
G1153
G1157
G1158
G1159
G1162
G1174
G482
G483
G506
G543
G545
G548
G549
G558
G562
G565
G569
G570
G597
GMARST
GMARSTP
HRS 2002:
HA020
HA023
HA026
HA027
HA028
HA030
HA033
HA034
HA035
HB055
MARRIAGE STATUS - CORRECTED
A21.L-EVER MARRIED
A21A.# MARRIAGES
A22B.FIRST MAR-END DIV/WID
A23B.RECENT MAR-END DIV/WID
A40.POST W1 MARRIAGE START
A41.POST W1 DIV/WIDOWED
A43.MARITAL STATUS IF UNMARRIED
A43A.MARITAL STATUS, ASSIGNED
A44.# MARRIAGES
A45B.FIRST MAR-END DIV/WID
A48B.RECENT MAR-END DIV/WID
PRELOAD COHORT
PRELOAD MARITAL STATUS
WHICH IW 1ST R/2ND R
CS4.1ST R SAME SPOUSE/P
CS5.PRELOAD SPOUSE/P ALIVE
CS7.1ST R MARRIED
CS8.COUPLE PARTNER
CS11.R IN NURSING HOME
CS12.COUPLE LIVE TOGETHER
CS14.SP/P WHERE LIVE
CS15A.MARRIED OR SEPARATED
CS15B.SEPARATED:PARTNERED?
CS15D.CURRENT COUPLENESS
HRS 98: Marital Status (w/o partnered)
HRS 98: Marital Status (w/ partnered)
A40.POST W1 MARRIAGE START
A41.POST W1 DIV/WIDOWED
A43.MARITAL STATUS IF UNMARRIED
A43A.MARITAL STATUS_ASSIGNED
A44.# MARRIAGES
A45B.FIRST MAR-END DIV/WID
A48B.RECENT MAR-END DIV/WID
CS0Y9.PRELOAD ENTRY COHORT
CS0Y9A.PRELOAD MARITAL STATUS
CS0Y21.WHICH IW 1ST R/2ND R
CS4.1ST R SAME SPOUSE/P
CS5.PRELOAD SPOUSE/P ALIVE
CS7.1ST R MARRIED
CS8.COUPLE PARTNER
CS11.R IN NURSING HOME
CS12.COUPLE LIVE TOGETHER
CS14.SP/P WHERE LIVE
CS15A.MARRIED OR SEPARATED
CS15B.SEPARATED:PARTNERED?
CS15D.CURRENT COUPLENESS
HRS 00: Marital Status (w/o partnered)
HRS 00: Marital Status (w/ partnered)
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
R MARRIED
LIVING W/P
R IN NURSING HOME
COUPLE LIVE TOGETHER
SP/P IN NURSHOME
MARRIED OR SEPARATED
SEPARATED/PARTNERED
NEW MARRIAGE SINCE PREVIOUS WAVE
156
Section A: Demographics, Identifiers, and Weights
HB058
HB061
HB065
HB068_1
HMARITAL
HMARST
HMARSTP
HX065_R
HZ023
HRS 2004:
JA020
JA023
JA026
JA027
JA028
JA030
JA033
JA034
JA035
JB055
JB058
JB061
JB063
JB065
JB068_1
JX065_R
JZ023
JSUBHH
HRS 2006:
KA020
KA023
KA026
KA027
KA028
KA030
KA033
KA034
KA035
KB055
KB058
KB061
KB063
KB065
KB068_1
KX065_R
KZ023
KSUBHH
HRS 2008:
LA020
LA023
LA026
LA027
LA028
LA030
LA033
LA034
LA035
LB055
LB058
LB061
LB063
LB065
LB068_1
DIVORCE/WIDOW SINCE PREVIOUS WAVE
MARITAL STATUS IF UNMARRIED
NUMBER OF MARRIAGES
FIRST MARRIAGE END DIVORCE/WIDOW
MARITAL STATUS
HRS 02: Marital Status (w/o partnered)
HRS 02: Marital Status (w/ partnered)
COUPLENESS STATUS - UPDATED
WHICH COHORT
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
R MARRIED
LIVING W/P
R IN NURSING HOME
COUPLE LIVE TOGETHER
SP/P IN NURSHOME
MARRIED OR SEPARATED
SEPARATED/PARTNERED
NEW MARRIAGE SINCE PREVIOUS WAVE
DIVORCE/WIDOW SINCE PREVIOUS WAVE
MARITAL STATUS IF UNMARRIED
MARITAL STATUS ASSIGNED
NUMBER OF MARRIAGES
FIRST MARRIAGE END DIVORCE/WIDOW
COUPLENESS STATUS - UPDATED
WHICH COHORT
2004 SUB-HOUSEHOLD INDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
R MARRIED
LIVING W/P
R IN NURSING HOME
COUPLE LIVE TOGETHER
SP/P IN NURSHOME
MARRIED OR SEPARATED
SEPARATED/PARTNERED
NEW MARRIAGE SINCE PREVIOUS WAVE
DIVORCE/WIDOW SINCE PREVIOUS WAVE
MARITAL STATUS IF UNMARRIED
MARITAL STATUS ASSIGNED
NUMBER OF MARRIAGES
FIRST MARRIAGE END DIVORCE/WIDOW
COUPLENESS STATUS - UPDATED
WHICH COHORT
2006 SUB-HOUSEHOLD IDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
R MARRIED
LIVING W/P
R IN NURSING HOME
COUPLE LIVE TOGETHER
SP/P IN NURSHOME
MARRIED OR SEPARATED
SEPARATED/PARTNERED
NEW MARRIAGE SINCE PREVIOUS WAVE
DIVORCE/WIDOW SINCE PREVIOUS WAVE
MARITAL STATUS IF UNMARRIED
MARITAL STATUS ASSIGNED
NUMBER OF MARRIAGES
FIRST MARRIAGE END DIVORCE/WIDOW
157
Section A: Demographics, Identifiers, and Weights
LX065_R
LZ023
LSUBHH
HRS 2010:
MA020
MA023
MA026
MA027
MA028
MA030
MA033
MA034
MA035
MB055
MB058
MB061
MB063
MB065
MB068_1
MX065_R
MZ023
MSUBHH
HRS 2012:
NA020
NA023
NA026
NA027
NA028
NA030
NA033
NA034
NA035
NB055
NB058
NB061
NB063
NB065
NB068_1
NX065_R
NZ024
NSUBHH
Tracker:
ASUBHH
BSUBHH
CSUBHH
DSUBHH
ESUBHH
FSUBHH
GSUBHH
HHID
HSUBHH
JSUBHH
KSUBHH
LSUBHH
MSUBHH
NSUBHH
COUPLENESS STATUS - UPDATED
PREV WAVE WHICH COHORT
2008 SUB-HOUSEHOLD IDENTFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
R MARRIED
LIVING W/P
R IN NURSING HOME
COUPLE LIVE TOGETHER
SP/P IN NURSHOME
MARRIED OR SEPARATED
SEPARATED/PARTNERED
NEW MARRIAGE SINCE PREVIOUS WAVE
DIVORCE/WIDOW SINCE PREVIOUS WAVE
MARITAL STATUS IF UNMARRIED
MARITAL STATUS ASSIGNED
NUMBER OF MARRIAGES
FIRST MARRIAGE END DIVORCE/WIDOW
COUPLENESS STATUS OF INDIVIDUAL-UPDATED
PREV WAVE WHICH COHORT -1
2010 SUB-HOUSEHOLD IDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
R MARRIED
LIVING W/P
R IN NURSING HOME
COUPLE LIVE TOGETHER
SP/P IN NURSHOME
MARRIED OR SEPARATED
SEPARATED/PARTNERED
NEW MARRIAGE SINCE PREVIOUS WAVE
DIVORCE/WIDOW SINCE PREVIOUS WAVE
MARITAL STATUS IF UNMARRIED
MARITAL STATUS ASSIGNED
NUMBER OF MARRIAGES
FIRST MARRIAGE END DIVORCE/WIDOW
COUPLENESS STATUS OF INDIVIDUAL-UPDATED
PREV WAVE HH INTERVIEWED IN PRIOR WAVE -1
2012 SUB-HOUSEHOLD IDENTIFIER
1992 SUB-HOUSEHOLD IDENTIFIER
1993 SUB-HOUSEHOLD IDENTIFIER
1994 SUB-HOUSEHOLD IDENTIFIER
1995 SUB-HOUSEHOLD IDENTIFIER
1996 SUB-HOUSEHOLD IDENTIFIER
1998 SUB-HOUSEHOLD IDENTIFIER
2000 SUB-HOUSEHOLD IDENTIFIER
HOUSEHOLD IDENTIFIER
2002 SUB-HOUSEHOLD INDENTIFIER
2004 SUB-HOUSEHOLD INDENTIFIER
2006 SUB-HOUSEHOLD IDENTIFIER
2008 SUB-HOUSEHOLD IDENTFIER
2010 SUB-HOUSEHOLD IDENTIFIER
2012 SUB-HOUSEHOLD IDENTIFIER
158
Section A: Demographics, Identifiers, and Weights
159
Number of Marriages
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1MRCT
R2MRCT
R3MRCT
R4MRCT
R5MRCT
R6MRCT
R7MRCT
R8MRCT
R9MRCT
R10MRCT
R11MRCT
R1MRCT:W1 R
R2MRCT:W2 R
R3MRCT:W3 R
R4MRCT:W4 R
R5MRCT:W5 R
R6MRCT:W6 R
R7MRCT:W7 R
R8MRCT:W8 R
R9MRCT:W9 R
R10MRCT:W10
R11MRCT:W11
#
#
#
#
#
#
#
#
#
R
R
marriages
marriages
marriages
marriages
marriages
marriages
marriages
marriages
marriages
# marriages
# marriages
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1MRCT
S2MRCT
S3MRCT
S4MRCT
S5MRCT
S6MRCT
S7MRCT
S8MRCT
S9MRCT
S10MRCT
S11MRCT
S1MRCT:W1 S
S2MRCT:W2 S
S3MRCT:W3 S
S4MRCT:W4 S
S5MRCT:W5 S
S6MRCT:W6 S
S7MRCT:W7 S
S8MRCT:W8 S
S9MRCT:W9 S
S10MRCT:W10
S11MRCT:W11
#
#
#
#
#
#
#
#
#
S
S
marriages
marriages
marriages
marriages
marriages
marriages
marriages
marriages
marriages
# marriages
# marriages
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1MRCT
R2MRCT
R3MRCT
R4MRCT
R5MRCT
R6MRCT
R7MRCT
R8MRCT
R9MRCT
R10MRCT
R11MRCT
12614
19574
17931
21323
19520
18107
20066
18409
17159
21955
20491
1.33
1.30
1.31
1.32
1.33
1.34
1.36
1.37
1.39
1.36
1.38
0.71
0.68
0.68
0.69
0.70
0.71
0.73
0.75
0.76
0.78
0.79
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
13.0
13.0
13.0
13.0
13.0
8.0
8.0
8.0
8.0
8.0
8.0
S1MRCT
S2MRCT
S3MRCT
S4MRCT
S5MRCT
S6MRCT
S7MRCT
S8MRCT
S9MRCT
S10MRCT
S11MRCT
9885
13041
11876
13942
12695
11601
12931
11698
10618
13473
12454
1.36
1.33
1.34
1.35
1.36
1.39
1.40
1.42
1.43
1.43
1.44
0.67
0.64
0.64
0.66
0.67
0.70
0.72
0.73
0.74
0.74
0.75
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
8.0
8.0
7.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
7.0
Categorical Variable Codes
Value----------------------|R1MRCT
.D=DK
|
.M=Oth missing
|5
R2MRCT
R3MRCT
16
12
R4MRCT
1
13
R5MRCT
2
11
R6MRCT
2
11
R7MRCT
3
17
R8MRCT
3
17
R9MRCT
2
17
R10MRCT
3
35
R11MRCT
2
31
Section A: Demographics, Identifiers, and Weights
.R=RF
0
1
2
3
4
5
6
7
8
13
|33
|428
|8638
|2814
|567
|112
|42
|8
|3
|1
|1
Value----------------------|S1MRCT
.D=DK
|
.M=Oth missing
|
.R=RF
|15
.U=Unmar
|2373
.V=Sp NR
|379
0
|63
1
|6992
2
|2246
3
|451
4
|91
5
|34
6
|5
7
|2
8
|1
52
617
13810
4105
811
181
37
8
3
1
1
48
527
12579
3822
786
171
32
9
4
S2MRCT
S3MRCT
6
41
5970
584
63
9477
2793
560
114
26
5
2
1
5
34
5658
418
44
8583
2580
526
112
25
4
2
1
160
47
691
14821
4539
1003
222
33
7
4
2
1
46
605
13501
4207
945
213
37
8
2
1
1
45
534
12386
4007
902
224
43
6
3
2
43
722
13324
4588
1087
287
45
7
4
2
40
625
12162
4206
1073
289
41
7
4
2
39
569
11200
4004
1048
284
41
7
4
2
41
1270
13771
5100
1408
355
40
7
3
1
30
1167
12705
4827
1391
352
36
9
3
1
S4MRCT
1
4
31
6869
537
73
10003
3014
671
147
26
4
2
2
S5MRCT
2
4
29
6538
311
65
9026
2782
643
146
26
4
2
1
S6MRCT
2
4
32
6306
220
45
8098
2643
617
160
30
3
3
2
S7MRCT
2
10
29
6777
380
90
8823
3040
733
203
32
4
4
2
S8MRCT
2
9
26
6417
317
80
7922
2741
710
207
29
4
3
2
S9MRCT
2
3
23
6206
365
69
7068
2566
682
197
29
3
3
1
S10MRCT
1
18
25
7795
722
218
8738
3326
927
236
22
3
2
1
S11MRCT
2
15
19
7473
591
198
8011
3090
904
223
22
5
1
How Constructed:
Number of marriages is assigned at the first wave R enters the HRS, from the marriage history
information, which includes number of marriages including the current one. After the first wave, the
number of marriages changes if R reports a marriage beginning between waves, or if a change in marital
status indicates that one has begun.
If R is married in 2 consecutive waves but to different spouses, a marriage is added for the new spouse.
Please note that the maximum number of marriages an individual can report at the first interview varies.
If the first interview is Wave 1 there is no maximum; at most 15 marriages are reported. In Wave 2H the
maximum is 15. For all other waves the maximum allowed is 4.
Spouse's number of marriages is taken from the Wave 'w' spouse's RwMRCT variable. It is set to .U if R is
unmarried or unpartnered or .V if R's spouse or partner did not respond in a given wave.
Cross Wave Differences in Original HRS Data
Marriage history is asked of individuals at the first interview to which they respond. The questions
generally proceed from current marital status and ask number of marriages, the date the first and most
recent marriage began, and either the length or end date of those marriages.
The skip pattern and amount of marital history information gathered varies from wave to wave. In Wave 1,
the questionnaire does not specify a maximum number of marriages that can be reported (at most 13
marriages are reported), and data are collected on 3 past and the current or most recent marriage. For
new respondents in Wave 2H the questionnaire limits responses to 15 for number of marriages, and data are
collected only about the first marriage. Except for overlap cases, the first interview for Ahead sample
members is Wave 2A. Here respondents can report a maximum of 4 marriages (meaning 4 or more), and are
asked about their current, or most recent marriage (if currently living with someone). For new
respondents in Wave 3, the questionnaire limits the responses to 4 (meaning 4 or more) for number of
marriages and information is collected on the first and most recent marriages. From Wave 4 forward, new
respondents can report a maximum of 4 for number of marriages and information is collected on 3 past and
the current marriage. In Wave 6, an apparent skip pattern problem occurred so that the current marriage
data are not collected for new respondents who are married. This was corrected in Wave 7.
From Wave 2H forward, or for the Ahead sample, from Wave 3A forward, a change from unmarried to married
status or vice versa since the last interview triggers questions about whether a marriage has begun or
ended since the last interview. If any marital events between interviews are reported, the month and
year of each is collected.
Section A: Demographics, Identifiers, and Weights
HRS Variables Used
HRS 1992:
V10225
V228
V229
V234
V239
V240
AHEAD 1993:
B158
B160
B166
HRS 1994:
W207
W208
W210
AHEAD 1995:
D676
D677
D680
D684
HRS 1996:
E676
E677
E680
E684
HRS 1998:
F1071
F1072
HRS 2000:
G1158
G1159
HRS 2002:
HB065
HMARITAL
HRS 2004:
JB065
JPN_SP
JSUBHH
HRS 2006:
KB065
KPN_SP
KSUBHH
HRS 2008:
LB065
LPN_SP
LSUBHH
HRS 2010:
MB065
MPN_SP
MSUBHH
HRS 2012:
NB065
NPN_SP
NSUBHH
Tracker:
AALIVE
AIWTYPE
APPN
CALIVE
CIWTYPE
CPPN
A10:CURRENT MAR STAT:IND
A10B:EVER BEEN MARRIED
A10C:# OF TIMES MARRIED
CKPT:TIMES BEEN MARRIED
A11:1ST MARRIAGE
A12:TOTAL TIMES MARRIED
A11c. LIVE TGHR: EVER MARRIED
A11e. LIVE TGHR: DIVORCED OR WIDOWED
A13. # OF MARRIAGES EVER
A6. Ever Been Married?
A7. Number of Times Married
A9. Marriage End Divorce/Widow
A21.L-EVER MARRIED
A21A.# MARRIAGES
A22B.FIRST MAR-END DIV/WID
A23B.RECENT MAR-END DIV/WID
A21.L-EVER MARRIED
A21A.# MARRIAGES
A22B.FIRST MAR-END DIV/WID
A23B.RECENT MAR-END DIV/WID
A43A.MARITAL STATUS, ASSIGNED
A44.# MARRIAGES
A43A.MARITAL STATUS_ASSIGNED
A44.# MARRIAGES
NUMBER OF MARRIAGES
MARITAL STATUS
NUMBER OF MARRIAGES
2004 SPOUSE/PARTNER PERSON NUMBER
2004 SUB-HOUSEHOLD INDENTIFIER
NUMBER OF MARRIAGES
2006 SPOUSE/PARTNER PERSON NUMBER
2006 SUB-HOUSEHOLD IDENTIFIER
NUMBER OF MARRIAGES
2008 SPOUSE/PARTNER PERSON NUMBER
2008 SUB-HOUSEHOLD IDENTFIER
NUMBER OF MARRIAGES
2010 SPOUSE/PARTNER PERSON NUMBER
2010 SUB-HOUSEHOLD IDENTIFIER
NUMBER OF MARRIAGES
2012 SPOUSE/PARTNER PERSON NUMBER
2012 SUB-HOUSEHOLD IDENTIFIER
1992
1992
1992
1994
1994
1994
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER PERSON NUMBER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER PERSON NUMBER
161
Section A: Demographics, Identifiers, and Weights
DALIVE
DIWTYPE
DPPN
EALIVE
EIWTYPE
EPPN
FALIVE
FIWTYPE
FPPN
GALIVE
GIWTYPE
GPPN
HALIVE
HIWTYPE
HPPN
JALIVE
JIWTYPE
JPPN
KALIVE
KIWTYPE
KPPN
LALIVE
LIWTYPE
LPPN
MALIVE
MIWTYPE
MPPN
NALIVE
NIWTYPE
NPPN
1995
1995
1995
1996
1996
1996
1998
1998
1998
2000
2000
2000
2002
2002
2002
2004
2004
2004
2006
2006
2006
2008
2008
2008
2010
2010
2010
2012
2012
2012
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
162
Section A: Demographics, Identifiers, and Weights
163
Marital History: Never married
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1MNEV
R2MNEV
R3MNEV
R4MNEV
R5MNEV
R6MNEV
R7MNEV
R8MNEV
R9MNEV
R10MNEV
R11MNEV
R1MNEV:W1 R
R2MNEV:W2 R
R3MNEV:W3 R
R4MNEV:W4 R
R5MNEV:W5 R
R6MNEV:W6 R
R7MNEV:W7 R
R8MNEV:W8 R
R9MNEV:W9 R
R10MNEV:W10
R11MNEV:W11
never married
never married
never married
never married
never married
never married
never married
never married
never married
R never married
R never married
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1MNEV
S2MNEV
S3MNEV
S4MNEV
S5MNEV
S6MNEV
S7MNEV
S8MNEV
S9MNEV
S10MNEV
S11MNEV
S1MNEV:W1 S
S2MNEV:W2 S
S3MNEV:W3 S
S4MNEV:W4 S
S5MNEV:W5 S
S6MNEV:W6 S
S7MNEV:W7 S
S8MNEV:W8 S
S9MNEV:W9 S
S10MNEV:W10
S11MNEV:W11
never married
never married
never married
never married
never married
never married
never married
never married
never married
S never married
S never married
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1MNEV
R2MNEV
R3MNEV
R4MNEV
R5MNEV
R6MNEV
R7MNEV
R8MNEV
R9MNEV
R10MNEV
R11MNEV
12652
19642
17991
21381
19577
18164
20127
18467
17216
22032
20553
0.03
0.03
0.03
0.03
0.03
0.03
0.04
0.03
0.03
0.06
0.06
0.18
0.17
0.17
0.18
0.17
0.17
0.19
0.18
0.18
0.23
0.23
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S1MNEV
S2MNEV
S3MNEV
S4MNEV
S5MNEV
S6MNEV
S7MNEV
S8MNEV
S9MNEV
S10MNEV
S11MNEV
9900
13088
11915
13978
12730
11639
12972
11735
10646
13517
12490
0.01
0.00
0.00
0.01
0.01
0.00
0.01
0.01
0.01
0.02
0.02
0.08
0.07
0.06
0.07
0.07
0.06
0.08
0.08
0.08
0.13
0.12
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Categorical Variable Codes
Value----------------------|R1MNEV
.N=no mars,likely nev mar |
0.Ever married
|12224
R2MNEV
R3MNEV
19025
17464
R4MNEV
3
20690
R5MNEV
2
18972
R6MNEV
1
17630
R7MNEV
2
19405
R8MNEV
2
17842
R9MNEV
1
16647
R10MNEV
2
20762
R11MNEV
1
19386
Section A: Demographics, Identifiers, and Weights
1.Never married
|428
Value----------------------|S1MNEV
.U=Unmar
|2373
.V=Sp NR
|379
0.Ever married
|9837
1.Never married
|63
164
617
527
691
605
534
722
625
569
1270
1167
S2MNEV
5970
584
13025
63
S3MNEV
5658
418
11871
44
S4MNEV
6869
537
13905
73
S5MNEV
6538
311
12665
65
S6MNEV
6306
220
11594
45
S7MNEV
6777
380
12882
90
S8MNEV
6417
317
11655
80
S9MNEV
6206
365
10577
69
S10MNEV
7795
722
13299
218
S11MNEV
7473
591
12292
198
How Constructed:
RwMNEV indicates if R has never been married. If R reports having an ever-married status but later
reports being never-married, he/she remains ever-married, i.e, RwMNEV=0 for the later wave. From wave 7
and forward, some cases report marital status as annulled, which is treated as never married.
For ever married respondents, the numbers of divorces, widowhoods, and marriages that ended with unknown
status are derived. Please see Number of Marriages (RwMRCT), and other Marital History variables, such
as number of divorces (RwMDIV), widowhoods (RwMWID), and ended marriages with unknown status (RwMEND).
Spouse's never married flag is taken from the Wave 'w' spouse's RwMNEV variable. It is set to .U if R is
unmarried or unpartnered or .V if R's spouse or partner did not respond in a given wave.
Cross Wave Differences in Original HRS Data
The asking and coding of marital status differs from wave to wave. In Waves 1 and 2H respondents are
specifically asked their marital status as married, partnered, separated, divorced, widowed or never
married. The marital status in the public use data also includes a "Married, spouse absent" status that
is split between those whose spouse is in a nursing home and whose spouse is not institutionalized. In
Wave 2A, a single item is used to assess marital status. Response categories include married (spouse
present), married (spouse absent), living with someone, separated/divorced, widowed, and never married.
The separated and divorced categories are not coded separately.
In Wave 3H, the respondent is not asked marital status; it is derived from preloaded marital status and a
series of questions in the Cover Sheet section. There is a "corrected" marital status included in the
Wave 3H public use data. In addition, the separated and divorced statuses are not coded separately. In
Waves 1, 2, and 3H, partnership overrides any other marital status. Marital status in Wave 3A is also
derived using questions from the Cover Sheet section. The separated and divorced statuses are in a
single category, and partnership overrides any other marital status.
Beginning in Wave 4, all partnered and unmarried single respondents are asked marital status. Through
Wave 6, the status must be an unmarried status, treating separated as an unmarried category apart from
divorced. Beginning in Wave 7, married or annulled may be coded in addition to the unmarried statuses.
Marital status in the raw data is set to married or separated for respondents determined to have these
statuses from Cover Sheet section questions.
Marriage history is asked of individuals at the first interview to which they respond. The questions
generally proceed from current marital status and ask number of marriages, the date the first and most
recent marriage began, and either the length or end date of those marriages. The maximum number of
marriages that can be reported varies from wave to wave.
HRS Variables Used
HRS 1992:
V10225
V225
V228
V229
V232
V233
V234
V239
V240
V242
V245
V248
A10:CURRENT MAR STAT:IND
A10:CURRENT MARR STA:IMP
A10B:EVER BEEN MARRIED
A10C:# OF TIMES MARRIED
A10E:LAST MARR END-MO
A10E:LAST MARR END-YEAR
CKPT:TIMES BEEN MARRIED
A11:1ST MARRIAGE
A12:TOTAL TIMES MARRIED
A14:MAR1:DVRCD/WDOWD/OTH
A14:MAR2:DVRCD/WDOWD/OTH
A14:MAR3:DVRCD/WDOWD/OTH
Section A: Demographics, Identifiers, and Weights
AHEAD 1993:
B150
B158
B160
B166
HRS 1994:
W200
W201
W202
W203
W204
W205
W206
W207
W208
W210
AHEAD 1995:
D226
D227
D230
D231
D233
D234
D240
D241
D246
D676
D677
D680
D684
D739
D741
D742
D746
D747
D748
DMSTATR
HRS 1996:
E226
E227
E228
E229
E247
E248
E256A
E676
E677
E680
E684
E739
E741
E742
E746
E747
E748
E750
HRS 1998:
F1059
F1061
F1062
F1066
F1067
F1068
A11. R'S MARITAL STATUS
A11c. LIVE TGHR: EVER MARRIED
A11e. LIVE TGHR: DIVORCED OR WIDOWED
A13. # OF MARRIAGES EVER
A1.
A2.
A3.
A3.
A4.
A5.
A5.
A6.
A7.
A9.
Marital Status
Marriage Start After
Marriage Month
Marriage Year
Divorced/Widowed Since
Divorced/Widowed-Month
Divorced/Widowed-Year
Ever Been Married?
Number of Times Married
Marriage End Divorce/Widow
CS4.R SAME SP/P
CS5.SP/P ALIVE
CS7.W1 COUPLE NEW SP
CS8.W1 COUPLE PARTNER
CS9.W1 ONLY NEW SP
CS10.W1 ONLY NEW PARTNER
CS11.R-WHERE LIVE
CS12.COUPLE LIVE TOGETHER
CS13.SP/P WHERE LIVE
A21.L-EVER MARRIED
A21A.# MARRIAGES
A22B.FIRST MAR-END DIV/WID
A23B.RECENT MAR-END DIV/WID
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/SWIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
HRS 95: Marital Status (w/ partnered)
CS4.R SAME SP/P
CS5.SP/P ALIVE
CS6.MO/YR SEPARATE/DIE
CS6A.YEAR SEPARATE/DIE
CS15.MO/YR ST LIVE W/NEW SP/P
CS15A.YEAR ST LIVE W/NEW SP/P
MARRIAGE STATUS - CORRECTED
A21.L-EVER MARRIED
A21A.# MARRIAGES
A22B.FIRST MAR-END DIV/WID
A23B.RECENT MAR-END DIV/WID
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/SWIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
A42.FIRST MARRIAGE ENDED
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/WIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
165
Section A: Demographics, Identifiers, and Weights
F1071
F1072
F1073
F1074
F1075
F1079
F1083
F1087
F502
F504
F506
F526
F527
HRS 2000:
G1146
G1148
G1149
G1153
G1154
G1155
G1158
G1159
G1160
G1161
G1162
G1166
G1170
G1174
G543
G545
G547
G567
G568
HRS 2002:
HA020
HA023
HA025
HA036
HA037
HB055
HB056
HB057
HB058
HB059
HB060
HB065
HB066_1
HB067_1
HB068_1
HB068_2
HB068_3
HMARITAL
HPN_SP
HSUBHH
HRS 2004:
JA020
JA023
JA025
JA036
JA037
JB055
JB056
JB057
A43A.MARITAL STATUS, ASSIGNED
A44.# MARRIAGES
A45.FIRST MAR-YR BEGIN
A45A.FIRST MAR-MON BEGIN
A45B.FIRST MAR-END DIV/WID
A46B.SECOND MAR-END DIV/WID
A47B.THIRD MAR-END DIV/WID
A48B.RECENT MAR-END DIV/WID
CS4.1ST R SAME SPOUSE/P
CS5.PRELOAD SPOUSE/P ALIVE
CS6A.YEAR SEPARATE/DIE
CS15MO./YR S/P START LIVE TOGETHER
CS15YR.YEAR ST LIVE W/NEW SP/P
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/WIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
A43A.MARITAL STATUS_ASSIGNED
A44.# MARRIAGES
A45.FIRST MAR-YR BEGIN
A45A.FIRST MAR-MON BEGIN
A45B.FIRST MAR-END DIV/WID
A46B.SECOND MAR-END DIV/WID
A47B.THIRD MAR-END DIV/WID
A48B.RECENT MAR-END DIV/WID
CS4.1ST R SAME SPOUSE/P
CS5.PRELOAD SPOUSE/P ALIVE
CS6A.YEAR SEPARATE/DIE
CS15MO./YR S/P START LIVE TOGETHER
CS15YR.YEAR ST LIVE W/NEW SP/P
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
MARITAL STATUS
2002 SPOUSE/PARTNER PERSON NUMBER
2002 SUB-HOUSEHOLD INDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
166
Section A: Demographics, Identifiers, and Weights
JB058
JB059
JB060
JB063
JB065
JB066_1
JB067_1
JB068_1
JB068_2
JB068_3
JPN_SP
JSUBHH
HRS 2006:
KA020
KA023
KA025
KA036
KA037
KB055
KB056
KB057
KB058
KB059
KB060
KB063
KB065
KB066_1
KB067_1
KB068_1
KB068_2
KB068_3
KPN_SP
KSUBHH
HRS 2008:
LA020
LA023
LA025
LA036
LA037
LB055
LB056
LB057
LB058
LB059
LB060
LB063
LB065
LB066_1
LB067_1
LB068_1
LB068_2
LB068_3
LPN_SP
LSUBHH
HRS 2010:
MA020
MA023
MA025
MA036
MA037
MB055
MB056
MB057
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
MARITAL STATUS ASSIGNED
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
2004 SPOUSE/PARTNER PERSON NUMBER
2004 SUB-HOUSEHOLD INDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
MARITAL STATUS ASSIGNED
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
2006 SPOUSE/PARTNER PERSON NUMBER
2006 SUB-HOUSEHOLD IDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
MARITAL STATUS ASSIGNED
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
2008 SPOUSE/PARTNER PERSON NUMBER
2008 SUB-HOUSEHOLD IDENTFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
167
Section A: Demographics, Identifiers, and Weights
MB058
MB059
MB060
MB063
MB065
MB066_1
MB067_1
MB068_1
MB068_2
MB068_3
MPN_SP
MSUBHH
HRS 2012:
NA020
NA023
NA025
NA036
NA037
NB055
NB056
NB057
NB058
NB059
NB060
NB063
NB065
NB066_1
NB067_1
NB068_1
NB068_2
NB068_3
NPN_SP
NSUBHH
Tracker:
AALIVE
AIWTYPE
APPN
CALIVE
CIWTYPE
CPPN
DALIVE
DIWTYPE
DPPN
EALIVE
EIWTYPE
EPPN
FALIVE
FIWTYPE
FPPN
GALIVE
GIWTYPE
GPPN
HALIVE
HIWTYPE
HPPN
JALIVE
JIWTYPE
JPPN
KALIVE
KIWTYPE
KPPN
LALIVE
LIWTYPE
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
MARITAL STATUS ASSIGNED
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
2010 SPOUSE/PARTNER PERSON NUMBER
2010 SUB-HOUSEHOLD IDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
MARITAL STATUS ASSIGNED
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
2012 SPOUSE/PARTNER PERSON NUMBER
2012 SUB-HOUSEHOLD IDENTIFIER
1992
1992
1992
1994
1994
1994
1995
1995
1995
1996
1996
1996
1998
1998
1998
2000
2000
2000
2002
2002
2002
2004
2004
2004
2006
2006
2006
2008
2008
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
168
Section A: Demographics, Identifiers, and Weights
LPPN
MALIVE
MIWTYPE
MPPN
NALIVE
NIWTYPE
NPPN
2008
2010
2010
2010
2012
2012
2012
SPOUSE-PARTNER PERSON NUMBER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER PERSON NUMBER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER PERSON NUMBER
169
Section A: Demographics, Identifiers, and Weights
170
Marital History: # times divorced
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1MDIV
R2MDIV
R3MDIV
R4MDIV
R5MDIV
R6MDIV
R7MDIV
R8MDIV
R9MDIV
R10MDIV
R11MDIV
R1MDIV:W1 R
R2MDIV:W2 R
R3MDIV:W3 R
R4MDIV:W4 R
R5MDIV:W5 R
R6MDIV:W6 R
R7MDIV:W7 R
R8MDIV:W8 R
R9MDIV:W9 R
R10MDIV:W10
R11MDIV:W11
#
#
#
#
#
#
#
#
#
R
R
times divorced
times divorced
times divorced
times divorced
times divorced
times divorced
times divorced
times divorced
times divorced
# times divorced
# times divorced
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1MDIV
S2MDIV
S3MDIV
S4MDIV
S5MDIV
S6MDIV
S7MDIV
S8MDIV
S9MDIV
S10MDIV
S11MDIV
S1MDIV:W1 S
S2MDIV:W2 S
S3MDIV:W3 S
S4MDIV:W4 S
S5MDIV:W5 S
S6MDIV:W6 S
S7MDIV:W7 S
S8MDIV:W8 S
S9MDIV:W9 S
S10MDIV:W10
S11MDIV:W11
#
#
#
#
#
#
#
#
#
S
S
times divorced
times divorced
times divorced
times divorced
times divorced
times divorced
times divorced
times divorced
times divorced
# times divorced
# times divorced
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1MDIV
R2MDIV
R3MDIV
R4MDIV
R5MDIV
R6MDIV
R7MDIV
R8MDIV
R9MDIV
R10MDIV
R11MDIV
12652
19642
17991
21384
19579
18165
20129
18469
17217
22034
20554
0.40
0.25
0.27
0.31
0.33
0.35
0.40
0.41
0.44
0.49
0.50
0.66
0.56
0.58
0.62
0.63
0.65
0.69
0.70
0.72
0.75
0.76
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
4.0
4.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
6.0
S1MDIV
S2MDIV
S3MDIV
S4MDIV
S5MDIV
S6MDIV
S7MDIV
S8MDIV
S9MDIV
S10MDIV
S11MDIV
9900
13088
11915
13978
12730
11639
12972
11735
10646
13517
12490
0.32
0.21
0.23
0.26
0.27
0.29
0.34
0.35
0.37
0.41
0.41
0.60
0.51
0.52
0.56
0.57
0.59
0.63
0.65
0.67
0.69
0.69
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
4.0
3.0
4.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
Categorical Variable Codes
Value----------------------|R1MDIV
0
|8688
1
|3107
R2MDIV
15756
3058
R3MDIV
14180
3000
R4MDIV
16148
4061
R5MDIV
14582
3872
R6MDIV
13282
3736
R7MDIV
14033
4540
R8MDIV
12710
4240
R9MDIV
11627
4065
R10MDIV
14087
5734
R11MDIV
13076
5320
Section A: Demographics, Identifiers, and Weights
2
3
4
5
6
|672
|167
|18
|
|
Value----------------------|S1MDIV
.U=Unmar
|2373
.V=Sp NR
|379
0
|7335
1
|2065
2
|397
3
|102
4
|1
5
|
171
644
161
23
634
157
17
3
927
217
28
3
891
200
31
3
909
203
32
3
1224
291
38
3
1187
291
38
3
1193
285
44
3
1733
415
62
3
1678
410
66
3
1
S2MDIV
5970
584
10802
1846
354
86
S3MDIV
5658
418
9707
1800
326
81
1
S4MDIV
6869
537
11052
2339
476
104
5
2
S5MDIV
6538
311
9923
2243
456
100
6
2
S6MDIV
6306
220
8914
2152
456
106
9
2
S7MDIV
6777
380
9565
2630
610
154
11
2
S8MDIV
6417
317
8571
2398
604
149
11
2
S9MDIV
6206
365
7638
2249
598
146
13
2
S10MDIV
7795
722
9268
3157
877
196
17
2
S11MDIV
7473
591
8614
2869
810
177
19
1
How Constructed:
RwMDIV counts the number of divorces the respondent has reported.
For ever married respondents, the numbers of divorces, widowhoods, and marriages that ended with unknown
status are derived. Please see Number of Marriages (RwMRCT), and other Marital History variables, such
as the never married flag (RwMNEV), number of widowhoods (RwMWID), and ended marriages with unknown
status (RwMEND).
The number of divorces derivation begins with the individual's marriage history at the first interview to
which he/she responds, counting any divorces reported for past marriages. At subsequent interviews, the
divorce count is increased if a divorce is reported as occurring between interviews, or if a respondent's
marital status changes from married or separated to divorced. Spouse marital and mortality statuses are
used to help fill missing or ambiguous marriage ends. Partners living together are treated as having an
unmarried or separated status.
A respondent is asked about past marriages only at the first interview. In Wave 1, there are data on 3
past and the current marriage. If the first interview is Wave 2H or 3H, or for the Ahead sample, Wave 3A,
there are data on at most 2 marriages. If the first interview is Wave 2A, there is information on at most
one marriage. For new interviewees in Waves 4, 5 and from Wave 7 forward, there are data on at most 4
marriages. For new interviewees at Wave 6 there are data on at most 3 marriages. This was corrected in
Wave 7.
Please note that if a respondent reports that he/she has more than four marriages in most waves, more
than two in Waves 2H, 3H, and 3A, or more than one in Wave 2A, how some of those marriages ended will not
be known.
Spouse's number of divorces is taken from the Wave 'w' spouse's RwMDIV variable. It is set to .U if R is
unmarried or unpartnered or .V if R's spouse or partner did not respond in a given wave.
Cross Wave Differences in Original HRS Data
The asking and coding of marital status differs from wave to wave. In Waves 1 and 2H respondents are
specifically asked their marital status as married, partnered, separated, divorced, widowed or never
married. The marital status in the public use data also includes a "Married, spouse absent" status that
is split between those whose spouse is in a nursing home and whose spouse is not institutionalized. In
Wave 2A, a single item is used to assess marital status. Response categories include married (spouse
present), married (spouse absent), living with someone, separated/divorced, widowed, and never married.
The separated and divorced categories are not coded separately.
In Wave 3H, the respondent is not asked marital status; it is derived from preloaded marital status and a
series of questions in the Cover Sheet section. There is a "corrected" marital status included in the
Wave 3H public use data. In addition, the separated and divorced statuses are not coded separately. In
Waves 1, 2, and 3H, partnership overrides any other marital status. Marital status in Wave 3A is also
derived using questions from the Cover Sheet section. The separated and divorced statuses are in a
single category, and partnership overrides any other marital status.
Beginning in Wave 4, all partnered and unmarried single respondents are asked marital status. Through
Wave 6, the status must be an unmarried status, treating separated as an unmarried category apart from
divorced. Beginning in Wave 7, married or annulled may be coded in addition to the unmarried statuses.
Section A: Demographics, Identifiers, and Weights
172
Marital status in the raw data is set to married or separated for respondents determined to have these
statuses from Cover Sheet section questions.
The Cover Sheet Section sequence of questions that lead to a marital status and determination of
"coupleness", are included in the data starting in Wave 3. These questions are examined to help set the
cleaned marital status.
Respondents who have an unmarried to married transition between interviews, or vice versa, are asked
about marriages and ends of marriages (divorce or widowhood) that may have occurred between interviews at
all waves after the initial interview in which a respondent appears.
Marriage history is asked of individuals at the first interview to which they respond. The questions
generally proceed from current marital status and ask number of marriages, the date the first and most
recent marriage began, and either the length or end date of those marriages. For previous marriages,
questions ask how it ended.
The skip pattern and amount of marital history information gathered varies from wave to wave. In wave 1,
data are collected on 3 past and the current or most recent marriage. For new respondents in Wave 2h data
are collected only about the first marriage. For new respondents in Wave 3H data are collected on the
first and most recent marriages. In Waves 4 and 5, new respondents are asked about 3 past and the
current marriage. In Wave 6, new respondents are asked about 3 past marriages. In Wave 6, an apparent
skip pattern problem occurred so that the current marriage data are not collected for new respondents who
are married. This was corrected in Wave 7.
In Wave 1, partnered respondents are asked the timing of their most recent marriage but not how it ended.
For other unmarried respondents the current marital status reveals how the most recent marriage ended.
The ending status of up to 3 past marriages is asked. There is no maximum for the number of marriages
the respondent can report, though no more than 15 marriages are reported. If R reports more than 4
marriages, the specific ending status of additional marriages is unknown.
Except for overlap cases, the first interview for Ahead sample members is Wave 2A. Here respondents can
report a maximum of 4 marriages (meaning 4 or more), and are asked about their current, or most recent
marriage (if currently living with someone). There are some issues with the questions in this section.
First, the "year married" question, which follows the marital status question, presumably is referring to
the respondent's current spouse. However, at least a couple of people may have misunderstood the
question. When we compared the marriage beginning dates reported by overlap cases in HRS W1 and AHEAD
W1, we found that four people all of whom had multiple marriages, gave dates that corresponded to
previous marriages. Second, respondents who report "living with someone" are then asked if they have
ever been married, and if so, what year that marriage ended. The problem with this sequence of questions
is that a person can be married more than one time, in which case we assume that they are reporting on
the most recent marriage.
For new respondents in Wave 2H the respondent can report a maximum of 15 marriages. Current marital
status reveals the way the most recent marriage ended. Marital history asks only how the first marriage
ended, if R has more than one marriage. If R reports more than 2 marriages, the way the additional
marriages ended is unknown.
For Waves 3A and 3H, new respondents can report being married a maximum of 4 times. They are asked how
the first and most recent marriages ended if ever married. If R reports more than 2 marriages, the way
the additional marriages ended is unknown.
From Wave 4 forward, new respondents can report being married a maximum of 4 times. They are asked how
the first three and most recent marriages ended if ever married, for a total of up to 4 marriage end
statuses. In Wave 6, because of a question skip problem, the fourth marriage information was not
collected. The way the most recent marriage ended can be taken from current marital status.
HRS Variables Used
HRS 1992:
V10225
V225
V228
V229
A10:CURRENT MAR STAT:IND
A10:CURRENT MARR STA:IMP
A10B:EVER BEEN MARRIED
A10C:# OF TIMES MARRIED
Section A: Demographics, Identifiers, and Weights
V232
V233
V234
V239
V240
V242
V245
V248
AHEAD 1993:
B150
B158
B160
B162
B166
HRS 1994:
W200
W201
W202
W203
W204
W205
W206
W207
W208
W210
AHEAD 1995:
D226
D227
D228
D229
D247
D248
D676
D677
D680
D684
D739
D741
D742
D747
D748
DMSTATR
F746
HRS 1996:
E226
E227
E228
E229
E247
E248
E256A
E676
E677
E680
E684
E739
E741
E742
E746
E747
E748
E750
HRS 1998:
A10E:LAST MARR END-MO
A10E:LAST MARR END-YEAR
CKPT:TIMES BEEN MARRIED
A11:1ST MARRIAGE
A12:TOTAL TIMES MARRIED
A14:MAR1:DVRCD/WDOWD/OTH
A14:MAR2:DVRCD/WDOWD/OTH
A14:MAR3:DVRCD/WDOWD/OTH
A11. R'S MARITAL STATUS
A11c. LIVE TGHR: EVER MARRIED
A11e. LIVE TGHR: DIVORCED OR WIDOWED
A11g. DIV/WID: YEAR DIV/WID MOST RECENT
A13. # OF MARRIAGES EVER
A1.
A2.
A3.
A3.
A4.
A5.
A5.
A6.
A7.
A9.
Marital Status
Marriage Start After
Marriage Month
Marriage Year
Divorced/Widowed Since
Divorced/Widowed-Month
Divorced/Widowed-Year
Ever Been Married?
Number of Times Married
Marriage End Divorce/Widow
CS4.R SAME SP/P
CS5.SP/P ALIVE
CS6.MO/YR SEPARATE/DIE
CS6A.YEAR SEPARATE/DIE
CS15.MO/YR ST LIVE W/NEW SP/P
CS15A.YEAR ST LIVE W/NEW SP/P
A21.L-EVER MARRIED
A21A.# MARRIAGES
A22B.FIRST MAR-END DIV/WID
A23B.RECENT MAR-END DIV/WID
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
HRS 95: Marital Status (w/ partnered)
CHECKPOINT
CS4.R SAME SP/P
CS5.SP/P ALIVE
CS6.MO/YR SEPARATE/DIE
CS6A.YEAR SEPARATE/DIE
CS15.MO/YR ST LIVE W/NEW SP/P
CS15A.YEAR ST LIVE W/NEW SP/P
MARRIAGE STATUS - CORRECTED
A21.L-EVER MARRIED
A21A.# MARRIAGES
A22B.FIRST MAR-END DIV/WID
A23B.RECENT MAR-END DIV/WID
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/SWIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
A42.FIRST MARRIAGE ENDED
173
Section A: Demographics, Identifiers, and Weights
F1059
F1061
F1062
F1066
F1067
F1068
F1071
F1072
F1073
F1074
F1075
F1079
F1083
F1087
F502
F504
F506
F526
F527
HRS 2000:
G1146
G1148
G1149
G1153
G1154
G1155
G1158
G1159
G1160
G1161
G1162
G1166
G1170
G1174
G543
G545
G547
G567
G568
HRS 2002:
HA020
HA023
HA025
HA036
HA037
HB055
HB056
HB057
HB058
HB059
HB060
HB065
HB066_1
HB067_1
HB068_1
HB068_2
HB068_3
HMARITAL
HRS 2004:
JA020
JA023
JA025
JA036
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/WIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
A43A.MARITAL STATUS, ASSIGNED
A44.# MARRIAGES
A45.FIRST MAR-YR BEGIN
A45A.FIRST MAR-MON BEGIN
A45B.FIRST MAR-END DIV/WID
A46B.SECOND MAR-END DIV/WID
A47B.THIRD MAR-END DIV/WID
A48B.RECENT MAR-END DIV/WID
CS4.1ST R SAME SPOUSE/P
CS5.PRELOAD SPOUSE/P ALIVE
CS6A.YEAR SEPARATE/DIE
CS15MO./YR S/P START LIVE TOGETHER
CS15YR.YEAR ST LIVE W/NEW SP/P
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/WIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
A43A.MARITAL STATUS_ASSIGNED
A44.# MARRIAGES
A45.FIRST MAR-YR BEGIN
A45A.FIRST MAR-MON BEGIN
A45B.FIRST MAR-END DIV/WID
A46B.SECOND MAR-END DIV/WID
A47B.THIRD MAR-END DIV/WID
A48B.RECENT MAR-END DIV/WID
CS4.1ST R SAME SPOUSE/P
CS5.PRELOAD SPOUSE/P ALIVE
CS6A.YEAR SEPARATE/DIE
CS15MO./YR S/P START LIVE TOGETHER
CS15YR.YEAR ST LIVE W/NEW SP/P
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
MARITAL STATUS
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
174
Section A: Demographics, Identifiers, and Weights
JA037
JB055
JB056
JB057
JB058
JB059
JB060
JB065
JB066_1
JB067_1
JB068_1
JB068_2
JB068_3
JPN_SP
JSUBHH
HRS 2006:
KA020
KA023
KA025
KA036
KA037
KB055
KB056
KB057
KB058
KB059
KB060
KB065
KB066_1
KB067_1
KB068_1
KB068_2
KB068_3
KPN_SP
KSUBHH
HRS 2008:
LA020
LA023
LA025
LA036
LA037
LB055
LB056
LB057
LB058
LB059
LB060
LB065
LB066_1
LB067_1
LB068_1
LB068_2
LB068_3
LPN_SP
LSUBHH
HRS 2010:
MA020
MA023
MA025
MA036
MA037
MB055
MB056
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
2004 SPOUSE/PARTNER PERSON NUMBER
2004 SUB-HOUSEHOLD INDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
2006 SPOUSE/PARTNER PERSON NUMBER
2006 SUB-HOUSEHOLD IDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
2008 SPOUSE/PARTNER PERSON NUMBER
2008 SUB-HOUSEHOLD IDENTFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
175
Section A: Demographics, Identifiers, and Weights
MB057
MB058
MB059
MB060
MB065
MB066_1
MB067_1
MB068_1
MB068_2
MB068_3
MPN_SP
MSUBHH
HRS 2012:
NA020
NA023
NA025
NA036
NA037
NB055
NB056
NB057
NB058
NB059
NB060
NB065
NB066_1
NB067_1
NB068_1
NB068_2
NB068_3
NPN_SP
NSUBHH
Tracker:
AALIVE
AIWTYPE
APPN
CALIVE
CIWTYPE
CPPN
DALIVE
DIWTYPE
DPPN
EALIVE
EIWTYPE
EPPN
FALIVE
FIWTYPE
FPPN
GALIVE
GIWTYPE
GPPN
HALIVE
HIWTYPE
HPPN
JALIVE
JIWTYPE
JPPN
KALIVE
KIWTYPE
KPPN
LALIVE
LIWTYPE
LPPN
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
2010 SPOUSE/PARTNER PERSON NUMBER
2010 SUB-HOUSEHOLD IDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
2012 SPOUSE/PARTNER PERSON NUMBER
2012 SUB-HOUSEHOLD IDENTIFIER
1992
1992
1992
1994
1994
1994
1995
1995
1995
1996
1996
1996
1998
1998
1998
2000
2000
2000
2002
2002
2002
2004
2004
2004
2006
2006
2006
2008
2008
2008
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
176
Section A: Demographics, Identifiers, and Weights
MALIVE
MIWTYPE
MPPN
NALIVE
NIWTYPE
NPPN
2010
2010
2010
2012
2012
2012
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER PERSON NUMBER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER PERSON NUMBER
177
Section A: Demographics, Identifiers, and Weights
178
Marital History: # times widowed
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1MWID
R2MWID
R3MWID
R4MWID
R5MWID
R6MWID
R7MWID
R8MWID
R9MWID
R10MWID
R11MWID
R1MWID:W1 R
R2MWID:W2 R
R3MWID:W3 R
R4MWID:W4 R
R5MWID:W5 R
R6MWID:W6 R
R7MWID:W7 R
R8MWID:W8 R
R9MWID:W9 R
R10MWID:W10
R11MWID:W11
#
#
#
#
#
#
#
#
#
R
R
times widowed
times widowed
times widowed
times widowed
times widowed
times widowed
times widowed
times widowed
times widowed
# times widowed
# times widowed
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1MWID
S2MWID
S3MWID
S4MWID
S5MWID
S6MWID
S7MWID
S8MWID
S9MWID
S10MWID
S11MWID
S1MWID:W1 S
S2MWID:W2 S
S3MWID:W3 S
S4MWID:W4 S
S5MWID:W5 S
S6MWID:W6 S
S7MWID:W7 S
S8MWID:W8 S
S9MWID:W9 S
S10MWID:W10
S11MWID:W11
#
#
#
#
#
#
#
#
#
S
S
times widowed
times widowed
times widowed
times widowed
times widowed
times widowed
times widowed
times widowed
times widowed
# times widowed
# times widowed
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1MWID
R2MWID
R3MWID
R4MWID
R5MWID
R6MWID
R7MWID
R8MWID
R9MWID
R10MWID
R11MWID
12652
19642
17991
21384
19579
18165
20129
18469
17217
22034
20554
0.09
0.22
0.23
0.24
0.25
0.27
0.25
0.26
0.28
0.22
0.23
0.30
0.42
0.43
0.44
0.45
0.46
0.45
0.47
0.48
0.44
0.45
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
4.0
S1MWID
S2MWID
S3MWID
S4MWID
S5MWID
S6MWID
S7MWID
S8MWID
S9MWID
S10MWID
S11MWID
9900
13088
11915
13978
12730
11639
12972
11735
10646
13517
12490
0.05
0.03
0.04
0.05
0.05
0.06
0.06
0.07
0.07
0.06
0.06
0.22
0.18
0.20
0.22
0.23
0.26
0.25
0.27
0.28
0.26
0.26
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
3.0
2.0
2.0
3.0
2.0
3.0
3.0
3.0
3.0
3.0
3.0
Categorical Variable Codes
Value----------------------|R1MWID
0
|11516
1
|1098
R2MWID
15416
4176
R3MWID
13875
4055
R4MWID
16420
4840
R5MWID
14728
4716
R6MWID
13383
4628
R7MWID
15355
4608
R8MWID
13808
4460
R9MWID
12688
4323
R10MWID
17380
4424
R11MWID
16100
4215
Section A: Demographics, Identifiers, and Weights
2
3
4
|37
|1
|
Value----------------------|S1MWID
.U=Unmar
|2373
.V=Sp NR
|379
0
|9456
1
|429
2
|14
3
|1
179
49
1
59
2
119
5
130
5
149
5
158
8
189
12
194
12
216
14
223
15
1
S2MWID
5970
584
12676
398
14
S3MWID
5658
418
11485
415
15
S4MWID
6869
537
13327
632
18
1
S5MWID
6538
311
12077
631
22
S6MWID
6306
220
10925
683
30
1
S7MWID
6777
380
12198
738
35
1
S8MWID
6417
317
10961
726
46
2
S9MWID
6206
365
9910
696
38
2
S10MWID
7795
722
12699
776
39
3
S11MWID
7473
591
11747
704
36
3
How Constructed:
RwMWID counts the number of times the respondent reports being widowed.
For ever married respondents, the numbers of divorces, widowhoods, and marriages that ended with unknown
status are derived. Please see Number of Marriages (RwMRCT), and other Marital History variables, such
as the never married flag (RwMNEV), number of divorces (RwMDIV), and ended marriages with unknown status
(RwMEND).
The number of times widowed derivation begins with the individual's marriage history at the first
interview to which he/she responds, counting any widowhoods reported for past marriages. At subsequent
interviews, the widowhood count is increased if a widowhood is reported as occurring between interviews,
or if a respondent's marital status changes from married or separated to widowed. Spouse marital and
mortality statuses are used to help fill missing or ambiguous marriage ends. Partners living together
are treated as having an unmarried or separated status.
A respondent is asked about past marriages only at the first interview. In Wave 1, there are data on 3
past and the current marriage. If the first interview is Wave 2H or 3H, or for the Ahead sample, Wave 3A,
there are data on at most 2 marriages. If the first interview is Wave 2A, there is information on at most
one marriage. For new interviewees in Waves 4, 5 and from Wave 7 forward, there are data on at most 4
marriages. For new interviewees in Wave 6, there are data on at most 3 marriages. This was corrected in
Wave 7.
Please note that if a respondent reports that he/she has more than four marriages in most waves, more
than two in Waves 2H, 3H, and 3A, or more than one in Wave 2A, how some of those marriages ended will not
be known.
Spouse's number of times widowed is taken from the Wave 'w' spouse's RwMWID variable. It is set to .U if
R is unmarried or unpartnered or .V if R's spouse or partner did not respond in a given wave.
Cross Wave Differences in Original HRS Data
The asking and coding of marital status differs from wave to wave. In Waves 1 and 2H respondents are
specifically asked their marital status as married, partnered, separated, divorced, widowed or never
married. The marital status in the public use data also includes a "Married, spouse absent" status that
is split between those whose spouse is in a nursing home and whose spouse is not institutionalized. In
Wave 2A, a single item is used to assess marital status. Response categories include married (spouse
present), married (spouse absent), living with someone, separated/divorced, widowed, and never married.
The separated and divorced categories are not coded separately.
In Wave 3H, the respondent is not asked marital status; it is derived from preloaded marital status and a
series of questions in the Cover Sheet section. There is a "corrected" marital status included in the
Wave 3H public use data. In addition, the separated and divorced statuses are not coded separately. In
Waves 1, 2, and 3H, partnership overrides any other marital status. Marital status in Wave 3A is also
derived using questions from the Cover Sheet section. The separated and divorced statuses are in a
single category, and partnership overrides any other marital status.
Beginning in Wave 4, all partnered and unmarried single respondents are asked marital status. Through
Wave 6, the status must be an unmarried status, treating separated as an unmarried category apart from
divorced. Beginning in Wave 7, married or annulled may be coded in addition to the unmarried statuses.
Marital status in the raw data is set to married or separated for respondents determined to have these
statuses from Cover Sheet section questions.
Section A: Demographics, Identifiers, and Weights
180
The Cover Sheet Section sequence of questions that lead to a marital status and determination of
"coupleness", are included in the data starting in Wave 3. These questions are examined to help set the
cleaned marital status.
Respondents who have an unmarried to married transition between interviews, or vice versa, are asked
about marriages and ends of marriages (divorce or widowhood) that may have occurred between interviews at
all waves after the initial interview in which a respondent appears.
Marriage history is asked of individuals at the first interview to which they respond. The questions
generally proceed from current marital status and ask number of marriages, the date the first and most
recent marriage began, and either the length or end date of those marriages. For previous marriages,
questions ask how it ended.
The skip pattern and amount of marital history information gathered varies from wave to wave. In wave 1,
data are collected on 3 past and the current or most recent marriage. For new respondents in Wave 2h data
are collected only about the first marriage. For new respondents in Wave 3H data are collected on the
first and most recent marriages. In Waves 4 and 5, new respondents are asked about 3 past and the
current marriage. In Wave 6, new respondents are asked about 3 past marriages. In Wave 6, an apparent
skip pattern problem occurred so that the current marriage data are not collected for new respondents who
are married. This was corrected in Wave 7.
In Wave 1, partnered respondents are asked the timing of their most recent marriage but not how it ended.
For other unmarried respondents the current marital status reveals how the most recent marriage ended.
The ending status of up to 3 past marriages is asked. There is no maximum for the number of marriages
the respondent can report, though no more than 15 marriages are reported. If R reports more than 4
marriages, the specific ending status of additional marriages is unknown.
Except for overlap cases, the first interview for Ahead sample members is Wave 2A. Here respondents can
report a maximum of 4 marriages (meaning 4 or more), and are asked about their current, or most recent
marriage (if currently living with someone). There are some issues with the questions in this section.
First, the "year married" question, which follows the marital status question, presumably is referring to
the respondent's current spouse. However, at least a couple of people may have misunderstood the
question. When we compared the marriage beginning dates reported by overlap cases in HRS W1 and AHEAD
W1, we found that four people all of whom had multiple marriages, gave dates that corresponded to
previous marriages. Second, respondents who report "living with someone" are then asked if they have
ever been married, and if so, what year that marriage ended. The problem with this sequence of questions
is that a person can be married more than one time, in which case we assume that they are reporting on
the most recent marriage.
For new respondents in Wave 2H the respondent can report a maximum of 15 marriages. Current marital
status reveals the way the most recent marriage ended. Marital history asks only how the first marriage
ended, if R has more than one marriage. If R reports more than 2 marriages, the way the additional
marriages ended is unknown.
For Waves 3A and 3H, new respondents can report being married a maximum of 4 times. They are asked how
the first and most recent marriages ended if ever married. If R reports more than 2 marriages, the way
the additional marriages ended is unknown.
From Wave 4 forward, new respondents can report being married a maximum of 4 times. They are asked how
the first three and most recent marriages ended if ever married, for a total of up to 4 marriage end
statuses. In Wave 6, because of a question skip problem, the fourth marriage information was not
collected. The way the most recent marriage ended can be taken from current marital status.
HRS Variables Used
HRS 1992:
V10225
V225
V228
V229
V232
V233
V234
A10:CURRENT MAR STAT:IND
A10:CURRENT MARR STA:IMP
A10B:EVER BEEN MARRIED
A10C:# OF TIMES MARRIED
A10E:LAST MARR END-MO
A10E:LAST MARR END-YEAR
CKPT:TIMES BEEN MARRIED
Section A: Demographics, Identifiers, and Weights
V239
V240
V242
V245
V248
AHEAD 1993:
B150
B158
B160
B162
B166
HRS 1994:
W200
W201
W202
W203
W204
W205
W206
W207
W208
W210
AHEAD 1995:
D226
D227
D228
D229
D247
D248
D676
D677
D680
D684
D739
D741
D742
D746
D747
D748
DMSTATR
HRS 1996:
E226
E227
E228
E229
E247
E248
E256A
E676
E677
E680
E684
E739
E741
E742
E746
E747
E748
E750
HRS 1998:
F1059
F1061
F1062
A11:1ST MARRIAGE
A12:TOTAL TIMES MARRIED
A14:MAR1:DVRCD/WDOWD/OTH
A14:MAR2:DVRCD/WDOWD/OTH
A14:MAR3:DVRCD/WDOWD/OTH
A11. R'S MARITAL STATUS
A11c. LIVE TGHR: EVER MARRIED
A11e. LIVE TGHR: DIVORCED OR WIDOWED
A11g. DIV/WID: YEAR DIV/WID MOST RECENT
A13. # OF MARRIAGES EVER
A1.
A2.
A3.
A3.
A4.
A5.
A5.
A6.
A7.
A9.
Marital Status
Marriage Start After
Marriage Month
Marriage Year
Divorced/Widowed Since
Divorced/Widowed-Month
Divorced/Widowed-Year
Ever Been Married?
Number of Times Married
Marriage End Divorce/Widow
CS4.R SAME SP/P
CS5.SP/P ALIVE
CS6.MO/YR SEPARATE/DIE
CS6A.YEAR SEPARATE/DIE
CS15.MO/YR ST LIVE W/NEW SP/P
CS15A.YEAR ST LIVE W/NEW SP/P
A21.L-EVER MARRIED
A21A.# MARRIAGES
A22B.FIRST MAR-END DIV/WID
A23B.RECENT MAR-END DIV/WID
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/SWIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
HRS 95: Marital Status (w/ partnered)
CS4.R SAME SP/P
CS5.SP/P ALIVE
CS6.MO/YR SEPARATE/DIE
CS6A.YEAR SEPARATE/DIE
CS15.MO/YR ST LIVE W/NEW SP/P
CS15A.YEAR ST LIVE W/NEW SP/P
MARRIAGE STATUS - CORRECTED
A21.L-EVER MARRIED
A21A.# MARRIAGES
A22B.FIRST MAR-END DIV/WID
A23B.RECENT MAR-END DIV/WID
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/SWIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
A42.FIRST MARRIAGE ENDED
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
181
Section A: Demographics, Identifiers, and Weights
F1066
F1067
F1068
F1071
F1072
F1073
F1074
F1075
F1079
F1083
F1087
F502
F504
F506
F526
F527
HRS 2000:
G1146
G1148
G1149
G1153
G1154
G1155
G1158
G1159
G1160
G1161
G1162
G1166
G1170
G1174
G543
G545
G547
G567
G568
HRS 2002:
HA020
HA023
HA025
HA036
HA037
HB055
HB056
HB057
HB058
HB059
HB060
HB065
HB066_1
HB067_1
HB068_1
HB068_2
HB068_3
HMARITAL
HRS 2004:
JA020
JA023
JA025
JA036
JA037
JB055
JB056
A41.POST W1 DIV/WIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
A43A.MARITAL STATUS, ASSIGNED
A44.# MARRIAGES
A45.FIRST MAR-YR BEGIN
A45A.FIRST MAR-MON BEGIN
A45B.FIRST MAR-END DIV/WID
A46B.SECOND MAR-END DIV/WID
A47B.THIRD MAR-END DIV/WID
A48B.RECENT MAR-END DIV/WID
CS4.1ST R SAME SPOUSE/P
CS5.PRELOAD SPOUSE/P ALIVE
CS6A.YEAR SEPARATE/DIE
CS15MO./YR S/P START LIVE TOGETHER
CS15YR.YEAR ST LIVE W/NEW SP/P
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/WIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
A43A.MARITAL STATUS_ASSIGNED
A44.# MARRIAGES
A45.FIRST MAR-YR BEGIN
A45A.FIRST MAR-MON BEGIN
A45B.FIRST MAR-END DIV/WID
A46B.SECOND MAR-END DIV/WID
A47B.THIRD MAR-END DIV/WID
A48B.RECENT MAR-END DIV/WID
CS4.1ST R SAME SPOUSE/P
CS5.PRELOAD SPOUSE/P ALIVE
CS6A.YEAR SEPARATE/DIE
CS15MO./YR S/P START LIVE TOGETHER
CS15YR.YEAR ST LIVE W/NEW SP/P
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
MARITAL STATUS
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
182
Section A: Demographics, Identifiers, and Weights
JB057
JB058
JB059
JB060
JB065
JB066_1
JB067_1
JB068_1
JB068_2
JB068_3
JPN_SP
JSUBHH
HRS 2006:
KA020
KA023
KA025
KA036
KA037
KB055
KB056
KB057
KB058
KB059
KB060
KB065
KB066_1
KB067_1
KB068_1
KB068_2
KB068_3
KPN_SP
KSUBHH
HRS 2008:
LA020
LA023
LA025
LA036
LA037
LB055
LB056
LB057
LB058
LB059
LB060
LB065
LB066_1
LB067_1
LB068_1
LB068_2
LB068_3
LPN_SP
LSUBHH
HRS 2010:
MA020
MA023
MA025
MA036
MA037
MB055
MB056
MB057
MB058
MB059
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
2004 SPOUSE/PARTNER PERSON NUMBER
2004 SUB-HOUSEHOLD INDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
2006 SPOUSE/PARTNER PERSON NUMBER
2006 SUB-HOUSEHOLD IDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
2008 SPOUSE/PARTNER PERSON NUMBER
2008 SUB-HOUSEHOLD IDENTFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
183
Section A: Demographics, Identifiers, and Weights
MB060
MB065
MB066_1
MB067_1
MB068_1
MB068_2
MB068_3
MPN_SP
MSUBHH
HRS 2012:
NA020
NA023
NA025
NA036
NA037
NB055
NB056
NB057
NB058
NB059
NB060
NB065
NB066_1
NB067_1
NB068_1
NB068_2
NB068_3
NPN_SP
NSUBHH
Tracker:
AALIVE
AIWTYPE
APPN
CALIVE
CIWTYPE
CPPN
DALIVE
DIWTYPE
DPPN
EALIVE
EIWTYPE
EPPN
FALIVE
FIWTYPE
FPPN
GALIVE
GIWTYPE
GPPN
HALIVE
HIWTYPE
HPPN
JALIVE
JIWTYPE
JPPN
KALIVE
KIWTYPE
KPPN
LALIVE
LIWTYPE
LPPN
MALIVE
MIWTYPE
MPPN
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
2010 SPOUSE/PARTNER PERSON NUMBER
2010 SUB-HOUSEHOLD IDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
2012 SPOUSE/PARTNER PERSON NUMBER
2012 SUB-HOUSEHOLD IDENTIFIER
1992
1992
1992
1994
1994
1994
1995
1995
1995
1996
1996
1996
1998
1998
1998
2000
2000
2000
2002
2002
2002
2004
2004
2004
2006
2006
2006
2008
2008
2008
2010
2010
2010
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
184
Section A: Demographics, Identifiers, and Weights
NALIVE
NIWTYPE
NPPN
2012 VITAL STATUS
2012 INTERVIEW TYPE
2012 SPOUSE-PARTNER PERSON NUMBER
185
Section A: Demographics, Identifiers, and Weights
186
Marital History: # times don't know how marriage ended
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1MEND
R2MEND
R3MEND
R4MEND
R5MEND
R6MEND
R7MEND
R8MEND
R9MEND
R10MEND
R11MEND
R1MEND:W1 R
R2MEND:W2 R
R3MEND:W3 R
R4MEND:W4 R
R5MEND:W5 R
R6MEND:W6 R
R7MEND:W7 R
R8MEND:W8 R
R9MEND:W9 R
R10MEND:W10
R11MEND:W11
#
#
#
#
#
#
#
#
#
R
R
times unknown end marriage
times unknown end marriage
times unknown end marriage
times unknown end marriage
times unknown end marriage
times unknown end marriage
times unknown end marriage
times unknown end marriage
times unknown end marriage
# times unknown end marriage
# times unknown end marriage
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1MEND
S2MEND
S3MEND
S4MEND
S5MEND
S6MEND
S7MEND
S8MEND
S9MEND
S10MEND
S11MEND
S1MEND:W1 S
S2MEND:W2 S
S3MEND:W3 S
S4MEND:W4 S
S5MEND:W5 S
S6MEND:W6 S
S7MEND:W7 S
S8MEND:W8 S
S9MEND:W9 S
S10MEND:W10
S11MEND:W11
#
#
#
#
#
#
#
#
#
S
S
times unknown end marriage
times unknown end marriage
times unknown end marriage
times unknown end marriage
times unknown end marriage
times unknown end marriage
times unknown end marriage
times unknown end marriage
times unknown end marriage
# times unknown end marriage
# times unknown end marriage
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1MEND
R2MEND
R3MEND
R4MEND
R5MEND
R6MEND
R7MEND
R8MEND
R9MEND
R10MEND
R11MEND
12614
19574
17931
21323
19520
18107
20066
18409
17159
21955
20491
0.02
0.13
0.12
0.09
0.09
0.08
0.06
0.06
0.05
0.03
0.03
0.20
0.42
0.40
0.36
0.35
0.32
0.29
0.28
0.27
0.21
0.21
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
10.0
10.0
10.0
10.0
10.0
5.0
5.0
5.0
5.0
5.0
5.0
S1MEND
S2MEND
S3MEND
S4MEND
S5MEND
S6MEND
S7MEND
S8MEND
S9MEND
S10MEND
S11MEND
9885
13041
11876
13942
12695
11601
12931
11698
10618
13473
12454
0.02
0.11
0.10
0.07
0.07
0.06
0.05
0.04
0.04
0.02
0.02
0.18
0.38
0.36
0.31
0.29
0.28
0.25
0.23
0.22
0.17
0.16
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
6.0
6.0
6.0
4.0
3.0
4.0
5.0
4.0
4.0
4.0
4.0
Categorical Variable Codes
Value----------------------|R1MEND
.M=Oth missing
|38
0
|12372
R2MEND
68
17490
R3MEND
60
16126
R4MEND
61
19679
R5MEND
59
18078
R6MEND
58
16884
R7MEND
63
18980
R8MEND
60
17503
R9MEND
58
16374
R10MEND
79
21307
R11MEND
63
19934
Section A: Demographics, Identifiers, and Weights
1
2
3
4
5
6
10
|217
|17
|2
|2
|2
|1
|1
Value----------------------|S1MEND
.M=Oth missing
|15
.U=Unmar
|2373
.V=Sp NR
|379
0
|9692
1
|177
2
|11
3
|1
4
|2
5
|1
6
|1
187
1709
302
68
2
1
1
1
1485
262
54
1
1
1
1
1351
244
44
2
1
1
1
1198
204
37
1
1
S2MEND
47
5970
584
11890
946
166
36
1
1
1
S3MEND
39
5658
418
10918
786
147
22
1
1
1
S4MEND
36
6869
537
13100
695
127
19
1
S5MEND
35
6538
311
11984
591
103
17
1027
167
25
3
1
916
144
22
3
1
763
123
16
3
1
662
105
15
2
1
551
86
9
1
1
471
74
10
1
1
S6MEND
38
6306
220
11011
497
82
8
3
S7MEND
41
6777
380
12434
422
64
7
3
1
S8MEND
37
6417
317
11303
336
50
6
3
S9MEND
28
6206
365
10282
290
38
7
1
S10MEND
44
7795
722
13204
240
25
3
1
S11MEND
36
7473
591
12227
205
19
2
1
1
How Constructed:
RwMEND counts the number of ended marriages where the ending status (divorce or widowhood) is unknown.
For ever married respondents, the numbers of divorces, widowhoods, and marriages that ended with unknown
status are derived. Please see Number of Marriages (RwMRCT), and other Marital History variables, such
as the never married flag (RwMNEV), number of divorces (RwMDIV), and number of widowhoods (RwMWID).
The number of times a marriage end status is unknown is derived beginning with the individual's marriage
history at the first interview to which he/she responds. The number of divorces and widowhoods are
counted. The number of remaining marriages that ended, for which the end status is unknown, is assigned
to RwMEND. At subsequent interviews, any marriage end between interviews where the ending status is
unknown increases the count. If a respondent's marital status changes from married or separated to an
unknown but definitely unmarried status the count of unknown marriage ends is incremented. If a
respondent is married to a different spouse than at the previous interview and doesn't report an end of
marriage event, the unknown marriage end count is also incremented. Spouse marital and mortality statuses
are used to help fill missing or ambiguous marriage ends. Partners living together are treated as having
an unmarried or separated status.
A respondent is asked about past marriages only at the first interview. In Wave 1, there are data on 3
past and the current marriage. If the first interview is Wave 2H or 3H, or for the Ahead sample, Wave 3A,
there are data on at most 2 marriages. If the first interview is Wave 2A, there is information on at most
one marriage. For new interviewees in Waves 4, 5 and from Wave 7 forward, there are data on at most 4
marriages. For new interviewees at Wave 6, there are data on at most 3 marriages. This was corrected to
collect information on four in Wave 7.
Please note that if a respondent reports that he/she has more than four marriages in most waves, more
than two in Waves 2H, 3H, and 3A, or more than one in Wave 2A, how some of those marriages ended will not
be known.
Spouse's SwMEND is taken from the Wave 'w' spouse's RwMEND variable. It is set to .U if R is unmarried
or unpartnered or .V if R's spouse or partner did not respond in a given wave.
Cross Wave Differences in Original HRS Data
The asking and coding of marital status differs from wave to wave. In Waves 1 and 2H respondents are
specifically asked their marital status as married, partnered, separated, divorced, widowed or never
married. The marital status in the public use data also includes a "Married, spouse absent" status that
is split between those whose spouse is in a nursing home and whose spouse is not institutionalized. In
Wave 2A, a single item is used to assess marital status. Response categories include married (spouse
present), married (spouse absent), living with someone, separated/divorced, widowed, and never married.
The separated and divorced categories are not coded separately.
In Wave 3H, the respondent is not asked marital status; it is derived from preloaded marital status and a
series of questions in the Cover Sheet section. There is a "corrected" marital status included in the
Wave 3H public use data. In addition, the separated and divorced statuses are not coded separately. In
Waves 1, 2, and 3H, partnership overrides any other marital status. Marital status in Wave 3A is also
Section A: Demographics, Identifiers, and Weights
188
derived using questions from the Cover Sheet section. The separated and divorced statuses are in a
single category, and partnership overrides any other marital status.
Beginning in Wave 4, all partnered and unmarried single respondents are asked marital status. Through
Wave 6, the status must be an unmarried status, treating separated as an unmarried category apart from
divorced. Beginning in Wave 7, married or annulled may be coded in addition to the unmarried statuses.
Marital status in the raw data is set to married or separated for respondents determined to have these
statuses from Cover Sheet section questions.
The Cover Sheet Section sequence of questions that lead to a marital status and determination of
"coupleness", are included in the data starting in Wave 3. These questions are examined to help set the
cleaned marital status.
Respondents who have an unmarried to married transition between interviews, or vice versa, are asked
about marriages and ends of marriages (divorce or widowhood) that may have occurred between interviews at
all waves after the initial interview in which a respondent appears.
Marriage history is asked of individuals at the first interview to which they respond. The questions
generally proceed from current marital status and ask number of marriages, the date the first and most
recent marriage began, and either the length or end date of those marriages. For previous marriages,
questions ask how it ended.
The skip pattern and amount of marital history information gathered varies from wave to wave. In wave 1,
data are collected on 3 past and the current or most recent marriage. For new respondents in Wave 2h data
are collected only about the first marriage. For new respondents in Wave 3H data are collected on the
first and most recent marriages. In Waves 4 and 5, new respondents are asked about 3 past and the
current marriage. In Wave 6, new respondents are asked about 3 past marriages. In Wave 6, an apparent
skip pattern problem occurred so that the current marriage data are not collected for new respondents who
are married. This was corrected in Wave 7.
In Wave 1, partnered respondents are asked the timing of their most recent marriage but not how it ended.
For other unmarried respondents the current marital status reveals how the most recent marriage ended.
The ending status of up to 3 past marriages is asked. There is no maximum for the number of marriages
the respondent can report, though no more than 15 marriages are reported. If R reports more than 4
marriages, the specific ending status of additional marriages is unknown.
Except for overlap cases, the first interview for Ahead sample members is Wave 2a. Here respondents can
report a maximum of 4 marriages (meaning 4 or more), and are asked about their current, or most recent
marriage (if currently living with someone). There are some issues with the questions in this section.
First, the "year married" question, which follows the marital status question, presumably is referring to
the respondent's current spouse. However, at least a couple of people may have misunderstood the
question. When we compared the marriage beginning dates reported by overlap cases in HRS W1 and AHEAD
W1, we found that four people all of whom had multiple marriages, gave dates that corresponded to
previous marriages. Second, respondents who report "living with someone" are then asked if they have
ever been married, and if so, what year that marriage ended. The problem with this sequence of questions
is that a person can be married more than one time, in which case we assume that they are reporting on
the most recent marriage.
For new respondents in Wave 2H the respondent can report a maximum of 15 marriages. Current marital
status reveals the way the most recent marriage ended. Marital history asks only how the first marriage
ended, if R has more than one marriage. If R reports more than 2 marriages, the way the additional
marriages ended is unknown.
For Waves 3A and 3H, new respondents can report being married a maximum of 4 times. They are asked how
the first and most recent marriages ended if ever married. If R reports more than 2 marriages, the way
the additional marriages ended is unknown.
From Wave 4 forward, new respondents can report being married a maximum of 4 times. They are asked how
the first three and most recent marriages ended if ever married, for a total of up to 4 marriage end
statuses. In Wave 6, because of a question skip problem, the fourth marriage information was not
collected. The way the most recent marriage ended can be taken from current marital status.
Section A: Demographics, Identifiers, and Weights
HRS Variables Used
HRS 1992:
V10225
V225
V228
V229
V232
V233
V234
V239
V240
V242
V245
V248
AHEAD 1993:
B150
B158
B160
B162
B166
HRS 1994:
W200
W201
W202
W203
W204
W205
W206
W207
W208
W210
AHEAD 1995:
D226
D227
D228
D229
D247
D248
D676
D677
D680
D684
D739
D741
D742
D746
D747
D748
DMSTATR
HRS 1996:
E226
E227
E228
E229
E247
E248
E256A
E676
E677
E680
E684
E739
A10:CURRENT MAR STAT:IND
A10:CURRENT MARR STA:IMP
A10B:EVER BEEN MARRIED
A10C:# OF TIMES MARRIED
A10E:LAST MARR END-MO
A10E:LAST MARR END-YEAR
CKPT:TIMES BEEN MARRIED
A11:1ST MARRIAGE
A12:TOTAL TIMES MARRIED
A14:MAR1:DVRCD/WDOWD/OTH
A14:MAR2:DVRCD/WDOWD/OTH
A14:MAR3:DVRCD/WDOWD/OTH
A11. R'S MARITAL STATUS
A11c. LIVE TGHR: EVER MARRIED
A11e. LIVE TGHR: DIVORCED OR WIDOWED
A11g. DIV/WID: YEAR DIV/WID MOST RECENT
A13. # OF MARRIAGES EVER
A1.
A2.
A3.
A3.
A4.
A5.
A5.
A6.
A7.
A9.
Marital Status
Marriage Start After
Marriage Month
Marriage Year
Divorced/Widowed Since
Divorced/Widowed-Month
Divorced/Widowed-Year
Ever Been Married?
Number of Times Married
Marriage End Divorce/Widow
CS4.R SAME SP/P
CS5.SP/P ALIVE
CS6.MO/YR SEPARATE/DIE
CS6A.YEAR SEPARATE/DIE
CS15.MO/YR ST LIVE W/NEW SP/P
CS15A.YEAR ST LIVE W/NEW SP/P
A21.L-EVER MARRIED
A21A.# MARRIAGES
A22B.FIRST MAR-END DIV/WID
A23B.RECENT MAR-END DIV/WID
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/SWIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
HRS 95: Marital Status (w/ partnered)
CS4.R SAME SP/P
CS5.SP/P ALIVE
CS6.MO/YR SEPARATE/DIE
CS6A.YEAR SEPARATE/DIE
CS15.MO/YR ST LIVE W/NEW SP/P
CS15A.YEAR ST LIVE W/NEW SP/P
MARRIAGE STATUS - CORRECTED
A21.L-EVER MARRIED
A21A.# MARRIAGES
A22B.FIRST MAR-END DIV/WID
A23B.RECENT MAR-END DIV/WID
A40.POST W1 MARRIAGE START
189
Section A: Demographics, Identifiers, and Weights
E741
E742
E746
E747
E748
E750
HRS 1998:
F1059
F1061
F1062
F1066
F1067
F1068
F1071
F1072
F1073
F1074
F1075
F1079
F1083
F1087
F502
F504
F506
F526
F527
HRS 2000:
G1146
G1148
G1149
G1153
G1154
G1155
G1158
G1159
G1160
G1161
G1162
G1166
G1170
G1174
G543
G545
G547
G567
G568
HRS 2002:
HA020
HA023
HA025
HA036
HA037
HB055
HB056
HB057
HB058
HB059
HB060
HB065
HB066_1
HB067_1
HB068_1
HB068_2
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/SWIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
A42.FIRST MARRIAGE ENDED
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/WIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
A43A.MARITAL STATUS, ASSIGNED
A44.# MARRIAGES
A45.FIRST MAR-YR BEGIN
A45A.FIRST MAR-MON BEGIN
A45B.FIRST MAR-END DIV/WID
A46B.SECOND MAR-END DIV/WID
A47B.THIRD MAR-END DIV/WID
A48B.RECENT MAR-END DIV/WID
CS4.1ST R SAME SPOUSE/P
CS5.PRELOAD SPOUSE/P ALIVE
CS6A.YEAR SEPARATE/DIE
CS15MO./YR S/P START LIVE TOGETHER
CS15YR.YEAR ST LIVE W/NEW SP/P
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/WIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
A43A.MARITAL STATUS_ASSIGNED
A44.# MARRIAGES
A45.FIRST MAR-YR BEGIN
A45A.FIRST MAR-MON BEGIN
A45B.FIRST MAR-END DIV/WID
A46B.SECOND MAR-END DIV/WID
A47B.THIRD MAR-END DIV/WID
A48B.RECENT MAR-END DIV/WID
CS4.1ST R SAME SPOUSE/P
CS5.PRELOAD SPOUSE/P ALIVE
CS6A.YEAR SEPARATE/DIE
CS15MO./YR S/P START LIVE TOGETHER
CS15YR.YEAR ST LIVE W/NEW SP/P
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
190
Section A: Demographics, Identifiers, and Weights
HRS
HRS
HRS
HRS
HB068_3
HMARITAL
2004:
JA020
JA023
JA025
JA036
JA037
JB055
JB056
JB057
JB058
JB059
JB060
JB065
JB066_1
JB067_1
JB068_1
JB068_2
JB068_3
JPN_SP
JSUBHH
2006:
KA020
KA023
KA025
KA036
KA037
KB055
KB056
KB057
KB058
KB059
KB060
KB065
KB066_1
KB067_1
KB068_1
KB068_2
KB068_3
KPN_SP
KSUBHH
2008:
LA020
LA023
LA025
LA036
LA037
LB055
LB056
LB057
LB058
LB059
LB060
LB065
LB066_1
LB067_1
LB068_1
LB068_2
LB068_3
LPN_SP
LSUBHH
2010:
THIRD MARRIAGE END DIVORCE/WIDOW
MARITAL STATUS
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
2004 SPOUSE/PARTNER PERSON NUMBER
2004 SUB-HOUSEHOLD INDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
2006 SPOUSE/PARTNER PERSON NUMBER
2006 SUB-HOUSEHOLD IDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
2008 SPOUSE/PARTNER PERSON NUMBER
2008 SUB-HOUSEHOLD IDENTFIER
191
Section A: Demographics, Identifiers, and Weights
MA020
MA023
MA025
MA036
MA037
MB055
MB056
MB057
MB058
MB059
MB060
MB065
MB066_1
MB067_1
MB068_1
MB068_2
MB068_3
MPN_SP
MSUBHH
HRS 2012:
MA020
MA023
MA025
MA036
MA037
MB055
MB056
MB057
MB058
MB059
MB060
MB065
MB066_1
MB067_1
MB068_1
MB068_2
MB068_3
MPN_SP
MSUBHH
Tracker:
AALIVE
AIWTYPE
APPN
CALIVE
CIWTYPE
CPPN
DALIVE
DIWTYPE
DPPN
EALIVE
EIWTYPE
EPPN
FALIVE
FIWTYPE
FPPN
GALIVE
GIWTYPE
GPPN
HALIVE
HIWTYPE
HPPN
JALIVE
JIWTYPE
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
2010 SPOUSE/PARTNER PERSON NUMBER
2010 SUB-HOUSEHOLD IDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
2010 SPOUSE/PARTNER PERSON NUMBER
2010 SUB-HOUSEHOLD IDENTIFIER
1992
1992
1992
1994
1994
1994
1995
1995
1995
1996
1996
1996
1998
1998
1998
2000
2000
2000
2002
2002
2002
2004
2004
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
192
Section A: Demographics, Identifiers, and Weights
JPPN
KALIVE
KIWTYPE
KPPN
LALIVE
LIWTYPE
LPPN
MALIVE
MIWTYPE
MPPN
NALIVE
NIWTYPE
NPPN
2004
2006
2006
2006
2008
2008
2008
2010
2010
2010
2012
2012
2012
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
193
Section A: Demographics, Identifiers, and Weights
194
Length of current marriage
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1MCURLN
R2MCURLN
R3MCURLN
R4MCURLN
R5MCURLN
R6MCURLN
R7MCURLN
R8MCURLN
R9MCURLN
R10MCURLN
R11MCURLN
R1MCURLN:W1 R
R2MCURLN:W2 R
R3MCURLN:W3 R
R4MCURLN:W4 R
R5MCURLN:W5 R
R6MCURLN:W6 R
R7MCURLN:W7 R
R8MCURLN:W8 R
R9MCURLN:W9 R
R10MCURLN:W10
R11MCURLN:W11
length of current marriage
length of current marriage
length of current marriage
length of current marriage
length of current marriage
length of current marriage
length of current marriage
length of current marriage
length of current marriage
R length of current marriage
R length of current marriage
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1MCURLN
S2MCURLN
S3MCURLN
S4MCURLN
S5MCURLN
S6MCURLN
S7MCURLN
S8MCURLN
S9MCURLN
S10MCURLN
S11MCURLN
S1MCURLN:W1 S
S2MCURLN:W2 S
S3MCURLN:W3 S
S4MCURLN:W4 S
S5MCURLN:W5 S
S6MCURLN:W6 S
S7MCURLN:W7 S
S8MCURLN:W8 S
S9MCURLN:W9 S
S10MCURLN:W10
S11MCURLN:W11
length of current marriage
length of current marriage
length of current marriage
length of current marriage
length of current marriage
length of current marriage
length of current marriage
length of current marriage
length of current marriage
S length of current marriage
S length of current marriage
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1MCURLN
R2MCURLN
R3MCURLN
R4MCURLN
R5MCURLN
R6MCURLN
R7MCURLN
R8MCURLN
R9MCURLN
R10MCURLN
R11MCURLN
10211
13550
12216
14234
12717
11424
12777
11458
10429
13285
12049
27.47
34.50
35.50
35.16
36.00
36.98
34.85
36.01
36.83
33.15
34.07
11.10
14.65
14.70
14.97
15.13
15.37
16.02
16.31
16.47
16.76
16.87
0.0
0.1
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.1
53.2
77.0
75.3
74.4
75.2
74.7
76.2
76.2
78.4
75.3
76.5
S1MCURLN
S2MCURLN
S3MCURLN
S4MCURLN
S5MCURLN
S6MCURLN
S7MCURLN
S8MCURLN
S9MCURLN
S10MCURLN
S11MCURLN
9556
12708
11599
13465
12233
11046
12208
10994
9931
12297
11234
27.51
34.60
35.75
35.37
36.18
37.17
35.21
36.30
37.22
33.70
34.54
11.08
14.57
14.55
14.90
15.01
15.25
15.91
16.19
16.29
16.75
16.82
0.0
0.1
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.1
53.2
77.0
75.3
74.4
75.2
74.7
76.2
73.5
72.7
75.3
76.5
How Constructed:
RwMCURLN, the length of the current marriage in years, is assigned by looking at marital history dates,
marital events, and marriage status. At the first interview, the date the most recent marriage began is
Section A: Demographics, Identifiers, and Weights
195
asked. This date is kept across interviews until the marriage ends in divorce or widowhood.
a new marriage, the current marriage begin date is reset to reflect this.
If R begins
The spouse's information is examined if available to fill missing current marriage begin dates if they
are missing from the retrospective marriage history at a respondent's first interview. This step is
introduced to address the skip pattern problem in Wave 6, where no current marriage begin dates were
collected for married new interviewees. The problem was corrected in Wave 7.
There are missing dates for the first marriage and for marital events between interviews. For marital
events between interviews, there is about a 2 year range when they can occur. If dates are missing for
between interview events, they are estimated based on interview and other marriage dates.
If R is married (or separated) at the interview, the length of the current marriage is calculated as the
time from the marriage begin date to the interview end date. If R is unmarried RwMCURLN is missing.
Separations are treated as continuing marriages.
Spouse's length of current marriage variable SwMCURLN is taken from the wave 'w' spouse's RwMCURLN
variable. It is set to .U if R is unmarried or unpartnered or .V if R's spouse or partner did not respond
in a given wave.
NOTE: In previous versions of the RAND HRS Data, the length of current marriage for married respondents
whose first interview is Wave 4 or 5 was missing much of the time due to a programming error. This is
corrected in Version D, but analysts using this variable may want to re-examine results based on it in
earlier versions.
Cross Wave Differences in Original HRS Data
The asking and coding of marital status differs from wave to wave. In Waves 1 and 2H respondents are
specifically asked their marital status as married, partnered, separated, divorced, widowed or never
married. The marital status in the public use data also includes a "Married, spouse absent" status that
is split between those whose spouse is in a nursing home and whose spouse is not institutionalized. In
Wave 2A, a single item is used to assess marital status. Response categories include married (spouse
present), married (spouse absent), living with someone, separated/divorced, widowed, and never married.
The separated and divorced categories are not coded separately.
In Wave 3H, the respondent is not asked marital status; it is derived from preloaded marital status and a
series of questions in the Cover Sheet section. There is a "corrected" marital status included in the
Wave 3H public use data. In addition, the separated and divorced statuses are not coded separately. In
Waves 1, 2, and 3H, partnership overrides any other marital status. Marital status in Wave 3A is also
derived using questions from the Cover Sheet section. The separated and divorced statuses are in a
single category, and partnership overrides any other marital status.
Beginning in Wave 4, all partnered and unmarried single respondents are asked marital status. Through
Wave 6, the status must be an unmarried status, treating separated as an unmarried category apart from
divorced. Beginning in Wave 7, married or annulled may be coded in addition to the unmarried statuses.
Marital status in the raw data is set to married or separated for respondents determined to have these
statuses from Cover Sheet section questions.
The Cover Sheet Section sequence of questions that lead to a marital status and determination of
"coupleness", are included in the data starting in Wave 3. These questions are examined to help set the
cleaned marital status. Included in the Cover Sheet questions are dates for when a spouse died or
separated, and when R started living with a new spouse or partner.
Respondents who have an unmarried to married transition between interviews, or vice versa, are asked
about marriages and ends of marriages (divorce or widowhood) that may have occurred between interviews at
all waves after the initial interview in which a respondent appears. If a marriage, divorce, or
widowhood is reported, the month and year of the event is asked.
Marriage history is asked of individuals at the first interview to which they respond. The questions
generally proceed from current marital status and ask number of marriages, the date the first and most
recent marriage began, and either the length or end date of those marriages. For previous marriages,
questions ask how it ended.
Section A: Demographics, Identifiers, and Weights
196
The skip pattern and amount of marital history information gathered varies from wave to wave. In Wave 1,
data are collected on three past and the current or most recent marriage. For new respondents in Wave 2H
data are collected only about the first marriage. For new respondents in Wave 3H data are collected on
the first and most recent marriages. In Waves 4 and 5, new respondents are asked about three past and
the current marriage. In Wave 6, new respondents are asked about three past marriages. In Wave 6, an
apparent skip pattern problem occurred so that the current marriage data are not collected for new
respondents who are married. This was corrected in Wave 7, so that information on the current and three
past marriages is collected.
In Wave 1, there is no maximum for the number of marriages the respondent can report. If R reports more
than four marriages, then all information about at least some marriages will be completely missing. The
begin and end month of the current or most recent marriage are asked. For past marriages only the year
is obtained.
Except for overlap cases, the first interview for Ahead sample members is Wave 2A. Here respondents can
report a maximum of four marriages (meaning four or more), and are asked for details about only their
current, or most recent marriage (if currently living with someone). There are some issues with the
questions in this section. First, the "year married" question, which follows the marital status
question, presumably is referring to the respondent's current spouse. However, at least of couple of
people may have misunderstood the question. When we compared the marriage beginning dates reported by
overlap cases in HRS W1 and AHEAD W1, we found that four people, all of whom had multiple marriages, gave
dates that corresponded to previous marriages. Second, respondents who report "living with someone" are
then asked if they have ever been married, and if so, what year that marriage ended. The problem with
this sequence of questions is that a person can be married more than one time, in which case we assume
that they are reporting on the most recent marriage. For those not married then year the marriage ended
and the length of the marriage are ascertained.
For new respondents in Wave 2H the respondent can report a maximum of 15 marriages. The begin and end
year of the first marriage is asked if the respondent reports more than one marriage. If the respondent
only reports one marriage, the begin month and, if applicable, end month of the most recent marriage are
only asked if the event occurred between interviews. If R reports more than two marriages, the
information about any except the first and perhaps the most recent marriage will be completely missing.
For Waves 3A and 3H, new respondents can report being married a maximum of four times. They are asked
the year when the first and most recent marriages began. If a begin year is after 1992, the month of
marriage is also asked. If the marriage ended, the respondent is asked how many years it lasted. If R
reports more than two marriages, the information about any besides the first and most recent is
completely missing.
From Wave 4 forward, new respondents can report a maximum of four marriages. They are asked the month
and year the first three and most recent marriages began and how many years each marriage lasted. In
these waves there can be information about up to four marriages, which is the maximum number marriages
that can be reported, so all known marriages are inquired about. In Wave 6, because of a question skip
problem, the fourth marriage information was not collected. The month and year that the current marriage
began is missing for all new married new interviewees. The month and year of the fourth marriage is
missing for those with four marriages.
HRS Variables Used
HRS 1992:
V10225
V225
V226
V227
V228
V230
V231
V232
V233
AHEAD 1993:
B150
B156
B158
A10:CURRENT MAR STAT:IND
A10:CURRENT MARR STA:IMP
A10A:DATE MARRIED-MONTH
A10A:DATE MARRIED-YEAR
A10B:EVER BEEN MARRIED
A10D:LAST MARR BEGIN-M0
A10D:LAST MARR BEGIN-YR
A10E:LAST MARR END-MO
A10E:LAST MARR END-YEAR
A11. R'S MARITAL STATUS
A11a. YEAR MARRIED
A11c. LIVE TGHR: EVER MARRIED
Section A: Demographics, Identifiers, and Weights
B159
B161
B163
HRS 1994:
W200
W201
W202
W203
W204
W205
W206
W207
AHEAD 1995:
D226
D227
D228
D229
D247
D248
D676
D678
D679
D681
D682
D683
D685
D739
D741
D742
D746
D747
D748
DMSTATR
HRS 1996:
E226
E227
E228
E229
E247
E248
E256A
E676
E678
E679
E681
E682
E683
E685
E739
E741
E742
E746
E747
E748
E750
HRS 1998:
F1059
F1061
F1062
F1066
F1067
F1068
F1071
A11d. LIVE TGHR: YEAR MARRIAGE ENDED
A11f. LIVE TGHR: YRS MARRIED MOST RECENT
A11h. DIV/WID: YEARS MARRIED MOST RECENT
A1.
A2.
A3.
A3.
A4.
A5.
A5.
A6.
Marital Status
Marriage Start After
Marriage Month
Marriage Year
Divorced/Widowed Since
Divorced/Widowed-Month
Divorced/Widowed-Year
Ever Been Married?
CS4.R SAME SP/P
CS5.SP/P ALIVE
CS6.MO/YR SEPARATE/DIE
CS6A.YEAR SEPARATE/DIE
CS15.MO/YR ST LIVE W/NEW SP/P
CS15A.YEAR ST LIVE W/NEW SP/P
A21.L-EVER MARRIED
A22.FIRST MAR-YR BEGIN
A22A. FIRST MAR-MO BEGIN
A22C.FIRST MAR-YRS MARRIED
A23.RECENT MAR-YR BEGIN
A23A. RECENT MAR-MO BEGIN
A23C.RECENT MAR-YRS MARRIED
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/SWIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
HRS 95: Marital Status (w/ partnered)
CS4.R SAME SP/P
CS5.SP/P ALIVE
CS6.MO/YR SEPARATE/DIE
CS6A.YEAR SEPARATE/DIE
CS15.MO/YR ST LIVE W/NEW SP/P
CS15A.YEAR ST LIVE W/NEW SP/P
MARRIAGE STATUS - CORRECTED
A21.L-EVER MARRIED
A22.FIRST MAR-YR BEGIN
A22A.FIRST MAR-MO BEGIN
A22C.FIRST MAR-YRS MARRIED
A23.RECENT MAR-YR BEGIN
A23A.RECENT MAR-MO BEGIN
A23C.RECENT MAR-YRS MARRIED
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/SWIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
A42.FIRST MARRIAGE ENDED
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/WIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
A43A.MARITAL STATUS, ASSIGNED
197
Section A: Demographics, Identifiers, and Weights
F1072
F1073
F1074
F1075
F1076
F1085
F1087
F1088
F502
F504
F506
F526
F527
HRS 2000:
G1146
G1148
G1149
G1153
G1154
G1155
G1158
G1159
G1160
G1161
G1162
G1163
G1172
G1174
G1175
G543
G545
G547
G567
G568
HRS 2002:
HA020
HA023
HA025
HA036
HA037
HB055
HB056
HB057
HB058
HB059
HB060
HB065
HB066_1
HB066_2
HB066_3
HB067_1
HB067_2
HB067_3
HB068_1
HB068_2
HB068_3
HB070_1
HB070_2
HB070_3
HMARITAL
HRS 2004:
JA020
JA023
A44.# MARRIAGES
A45.FIRST MAR-YR BEGIN
A45A.FIRST MAR-MON BEGIN
A45B.FIRST MAR-END DIV/WID
A45C.FIRST MAR-YRS MARRIED
A48.RECENT MAR-YR BEGIN
A48B.RECENT MAR-END DIV/WID
A48C.RECENT MAR-YRS MARRIED
CS4.1ST R SAME SPOUSE/P
CS5.PRELOAD SPOUSE/P ALIVE
CS6A.YEAR SEPARATE/DIE
CS15MO./YR S/P START LIVE TOGETHER
CS15YR.YEAR ST LIVE W/NEW SP/P
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/WIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
A43A.MARITAL STATUS_ASSIGNED
A44.# MARRIAGES
A45.FIRST MAR-YR BEGIN
A45A.FIRST MAR-MON BEGIN
A45B.FIRST MAR-END DIV/WID
A45C.FIRST MAR-YRS MARRIED
A48.RECENT MAR-YR BEGIN
A48B.RECENT MAR-END DIV/WID
A48C.RECENT MAR-YRS MARRIED
CS4.1ST R SAME SPOUSE/P
CS5.PRELOAD SPOUSE/P ALIVE
CS6A.YEAR SEPARATE/DIE
CS15MO./YR S/P START LIVE TOGETHER
CS15YR.YEAR ST LIVE W/NEW SP/P
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
SECOND MARRIAGE YEAR BEGAN
THIRD MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
SECOND MARRIAGE MONTH BEGAN
THIRD MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
FIRST MARRIAGE-YEARS MARRIAGE
SECOND MARRIAGE-YEARS MARRIAGE
THIRD MARRIAGE-YEARS MARRIAGE
MARITAL STATUS
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
198
Section A: Demographics, Identifiers, and Weights
JA025
JA036
JA037
JB055
JB056
JB057
JB058
JB059
JB060
JB065
JB066_1
JB066_2
JB066_3
JB067_1
JB067_2
JB067_3
JB068_1
JB068_2
JB068_3
JB070_1
JB070_2
JB070_3
JPN_SP
JSUBHH
HRS 2006:
KA020
KA023
KA025
KA036
KA037
KB055
KB056
KB057
KB058
KB059
KB060
KB065
KB066_1
KB066_2
KB066_3
KB067_1
KB067_2
KB067_3
KB068_1
KB068_2
KB068_3
KB070_1
KB070_2
KB070_3
KPN_SP
KSUBHH
HRS 2008:
LA020
LA023
LA025
LA036
LA037
LB055
LB056
LB057
LB058
LB059
LB060
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
SECOND MARRIAGE YEAR BEGAN
THIRD MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
SECOND MARRIAGE MONTH BEGAN
THIRD MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
FIRST MARRIAGE-YEARS MARRIAGE
SECOND MARRIAGE-YEARS MARRIAGE
THIRD MARRIAGE-YEARS MARRIAGE
2004 SPOUSE/PARTNER PERSON NUMBER
2004 SUB-HOUSEHOLD INDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
SECOND MARRIAGE YEAR BEGAN
THIRD MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
SECOND MARRIAGE MONTH BEGAN
THIRD MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
FIRST MARRIAGE-YEARS MARRIAGE
SECOND MARRIAGE-YEARS MARRIAGE
THIRD MARRIAGE-YEARS MARRIAGE
2006 SPOUSE/PARTNER PERSON NUMBER
2006 SUB-HOUSEHOLD IDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
199
Section A: Demographics, Identifiers, and Weights
LB065
LB066_1
LB066_2
LB066_3
LB067_1
LB067_2
LB067_3
LB068_1
LB068_2
LB068_3
LB070_1
LB070_2
LB070_3
LPN_SP
LSUBHH
HRS 2010:
MA020
MA023
MA025
MA036
MA037
MB055
MB056
MB057
MB058
MB059
MB060
MB065
MB066_1
MB066_2
MB066_3
MB067_1
MB067_2
MB067_3
MB068_1
MB068_2
MB068_3
MB070_1
MB070_2
MB070_3
MPN_SP
MSUBHH
HRS 2012:
NA020
NA023
NA025
NA036
NA037
NB055
NB056
NB057
NB058
NB059
NB060
NB065
NB066_1
NB066_2
NB066_3
NB067_1
NB067_2
NB067_3
NB068_1
NB068_2
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
SECOND MARRIAGE YEAR BEGAN
THIRD MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
SECOND MARRIAGE MONTH BEGAN
THIRD MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
FIRST MARRIAGE-YEARS MARRIAGE
SECOND MARRIAGE-YEARS MARRIAGE
THIRD MARRIAGE-YEARS MARRIAGE
2008 SPOUSE/PARTNER PERSON NUMBER
2008 SUB-HOUSEHOLD IDENTFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
SECOND MARRIAGE YEAR BEGAN
THIRD MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
SECOND MARRIAGE MONTH BEGAN
THIRD MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
THIRD MARRIAGE END DIVORCE/WIDOW
FIRST MARRIAGE-YEARS MARRIAGE
SECOND MARRIAGE-YEARS MARRIAGE
THIRD MARRIAGE-YEARS MARRIAGE
2010 SPOUSE/PARTNER PERSON NUMBER
2010 SUB-HOUSEHOLD IDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
SECOND MARRIAGE YEAR BEGAN
THIRD MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
SECOND MARRIAGE MONTH BEGAN
THIRD MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
200
Section A: Demographics, Identifiers, and Weights
NB068_3
NB070_1
NB070_2
NB070_3
NPN_SP
NSUBHH
Tracker:
AALIVE
AIWTYPE
APPN
CALIVE
CIWTYPE
CPPN
DALIVE
DIWTYPE
DPPN
EALIVE
EIWTYPE
EPPN
FALIVE
FIWTYPE
FPPN
GALIVE
GIWTYPE
GPPN
HALIVE
HIWTYPE
HPPN
JALIVE
JIWTYPE
JPPN
KALIVE
KIWTYPE
KPPN
LALIVE
LIWTYPE
LPPN
MALIVE
MIWTYPE
MPPN
NALIVE
NIWTYPE
NPPN
THIRD MARRIAGE END DIVORCE/WIDOW
FIRST MARRIAGE-YEARS MARRIAGE
SECOND MARRIAGE-YEARS MARRIAGE
THIRD MARRIAGE-YEARS MARRIAGE
2012 SPOUSE/PARTNER PERSON NUMBER
2012 SUB-HOUSEHOLD IDENTIFIER
1992
1992
1992
1994
1994
1994
1995
1995
1995
1996
1996
1996
1998
1998
1998
2000
2000
2000
2002
2002
2002
2004
2004
2004
2006
2006
2006
2008
2008
2008
2010
2010
2010
2012
2012
2012
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
201
Section A: Demographics, Identifiers, and Weights
202
Length of longest marriage (including current)
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1MLEN
R2MLEN
R3MLEN
R4MLEN
R5MLEN
R6MLEN
R7MLEN
R8MLEN
R9MLEN
R10MLEN
R11MLEN
R1MLEN:W1 R
R2MLEN:W2 R
R3MLEN:W3 R
R4MLEN:W4 R
R5MLEN:W5 R
R6MLEN:W6 R
R7MLEN:W7 R
R8MLEN:W8 R
R9MLEN:W9 R
R10MLEN:W10
R11MLEN:W11
length of longest marriage
length of longest marriage
length of longest marriage
length of longest marriage
length of longest marriage
length of longest marriage
length of longest marriage
length of longest marriage
length of longest marriage
R length of longest marriage
R length of longest marriage
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1MLEN
S2MLEN
S3MLEN
S4MLEN
S5MLEN
S6MLEN
S7MLEN
S8MLEN
S9MLEN
S10MLEN
S11MLEN
S1MLEN:W1 S
S2MLEN:W2 S
S3MLEN:W3 S
S4MLEN:W4 S
S5MLEN:W5 S
S6MLEN:W6 S
S7MLEN:W7 S
S8MLEN:W8 S
S9MLEN:W9 S
S10MLEN:W10
S11MLEN:W11
length of longest marriage
length of longest marriage
length of longest marriage
length of longest marriage
length of longest marriage
length of longest marriage
length of longest marriage
length of longest marriage
length of longest marriage
S length of longest marriage
S length of longest marriage
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
R1MLENM
R2MLENM
R3MLENM
R4MLENM
R5MLENM
R6MLENM
R7MLENM
R8MLENM
R9MLENM
R10MLENM
R11MLENM
R1MLENM:W1 R
R2MLENM:W2 R
R3MLENM:W3 R
R4MLENM:W4 R
R5MLENM:W5 R
R6MLENM:W6 R
R7MLENM:W7 R
R8MLENM:W8 R
R9MLENM:W9 R
R10MLENM:W10
R11MLENM:W11
#
#
#
#
#
#
#
#
#
R
R
marriage lengths missng
marriage lengths missng
marriage lengths missng
marriage lengths missng
marriage lengths missng
marriage lengths missng
marriage lengths missng
marriage lengths missng
marriage lengths missng
# marriage lengths missng
# marriage lengths missng
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1MLENM
S2MLENM
S3MLENM
S4MLENM
S5MLENM
S6MLENM
S7MLENM
S8MLENM
S9MLENM
S10MLENM
S11MLENM
S1MLENM:W1 S
S2MLENM:W2 S
S3MLENM:W3 S
S4MLENM:W4 S
S5MLENM:W5 S
S6MLENM:W6 S
S7MLENM:W7 S
S8MLENM:W8 S
S9MLENM:W9 S
S10MLENM:W10
S11MLENM:W11
#
#
#
#
#
#
#
#
#
S
S
marriage lengths missng
marriage lengths missng
marriage lengths missng
marriage lengths missng
marriage lengths missng
marriage lengths missng
marriage lengths missng
marriage lengths missng
marriage lengths missng
# marriage lengths missng
# marriage lengths missng
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Descriptive Statistics
Variable
R1MLEN
R2MLEN
R3MLEN
R4MLEN
R5MLEN
N
12652
19642
17991
21384
19579
Mean
26.31
32.31
33.33
33.03
33.86
Std Dev
11.11
15.73
15.79
15.92
16.03
Minimum
0.0
0.0
0.0
0.0
0.0
Maximum
53.2
79.0
79.0
79.0
77.0
Section A: Demographics, Identifiers, and Weights
203
R6MLEN
R7MLEN
R8MLEN
R9MLEN
R10MLEN
R11MLEN
18165
20129
18469
17217
22034
20554
34.53
32.59
33.48
34.08
29.76
30.23
16.32
16.85
17.12
17.35
17.94
18.19
0.0
0.0
0.0
0.0
0.0
0.0
77.0
76.2
78.3
78.4
80.8
76.5
S1MLEN
S2MLEN
S3MLEN
S4MLEN
S5MLEN
S6MLEN
S7MLEN
S8MLEN
S9MLEN
S10MLEN
S11MLEN
9900
13088
11915
13978
12730
11639
12972
11735
10646
13517
12490
28.51
34.86
36.16
35.84
36.70
37.57
35.50
36.57
37.41
33.18
33.72
9.58
13.83
13.65
13.84
13.87
14.17
15.03
15.32
15.45
16.48
16.71
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
53.2
77.0
75.3
74.4
75.2
74.7
76.2
73.5
72.7
75.3
76.5
R1MLENM
R2MLENM
R3MLENM
R4MLENM
R5MLENM
R6MLENM
R7MLENM
R8MLENM
R9MLENM
R10MLENM
R11MLENM
12652
19642
17991
21384
19579
18165
20129
18469
17217
22034
20554
0.04
0.15
0.14
0.11
0.10
0.10
0.08
0.08
0.08
0.06
0.06
0.26
0.44
0.43
0.38
0.37
0.36
0.33
0.32
0.32
0.27
0.27
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
11.0
11.0
11.0
11.0
11.0
5.0
5.0
5.0
5.0
5.0
5.0
S1MLENM
S2MLENM
S3MLENM
S4MLENM
S5MLENM
S6MLENM
S7MLENM
S8MLENM
S9MLENM
S10MLENM
S11MLENM
9900
13088
11915
13978
12730
11639
12972
11735
10646
13517
12490
0.03
0.11
0.11
0.08
0.07
0.08
0.06
0.06
0.06
0.04
0.05
0.21
0.39
0.38
0.32
0.31
0.31
0.29
0.27
0.27
0.23
0.23
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
6.0
6.0
6.0
5.0
5.0
5.0
5.0
5.0
4.0
4.0
4.0
How Constructed:
RwMLEN is assigned by looking at marital histories, marital events, and marriage status. Data are not
collected on all marriages: up to four previous marriages if R enters the HRS in waves 1, 4, 5, or 7
forward, up to three previous marriages if R enters the study in wave 6, or up to two previous marriages
if R enters in waves 2H or 3. If the first interview is Wave 2A, there is information on at most one
previous marriage. If R gives a marriage date or length that indicates being married before age 12, the
dates or length are treated as missing, depending on what information is provided.
There are also abundant missing dates in the marriage history data. RwMLENM counts the number of
marriages for which the length is unknown. For marital events between interviews, there is about a two
year range when they can occur. If dates are missing for between-interview events, they are estimated
based on interview and other marriage dates, so as to compare lengths of marriages.
The spouse's information is examined if available to fill missing current marriage begin dates if they
are missing from the retrospective marriage history at a respondent's first interview. This step is
introduced to address the skip pattern problem in Wave 6, where no current marriage begin dates were
collected for married new interviewees.
Section A: Demographics, Identifiers, and Weights
204
RwMLEN is the maximum length of R's marriages up to wave 'w'. If R is married (or separated) at the
wave, the length of the current marriage is calculated as the time from the begin date to the interview
end date. Separations are treated as continuing marriages.
Spouse's length of longest marriage variables SwMLEN and SwMLENM are taken from the wave 'w' spouse's
RwMLEN and RwMLENM variables. They is set to .U if R is unmarried or unpartnered or .V if R's spouse or
partner did not respond in a given wave.
NOTE: In previous versions of the RAND HRS Data, the length of current marriage for married respondents
whose first interview is Wave 4 or 5 was missing much of the time due to a programming error. This also
affects the length of longest marriage for some cases. The problem is corrected in Version D, but
analysts using this variable may want to re-examine results based on it in earlier versions.
Another programming problem left many unmarried Ahead respondents with a longest marriage of zero years
and a missing marriage length, when a marriage length is available. Most of these are widows, and all
are not married in Wave 2A. This is corrected in Version H.
Cross Wave Differences in Original HRS Data
The asking and coding of marital status differs from wave to wave. In Waves 1 and 2H respondents are
specifically asked their marital status as married, partnered, separated, divorced, widowed or never
married. The marital status in the public use data also includes a "Married, spouse absent" status that
is split between those whose spouse is in a nursing home and whose spouse is not institutionalized. In
Wave 2A, a single item is used to assess marital status. Response categories include married (spouse
present), married (spouse absent), living with someone, separated/divorced, widowed, and never married.
The separated and divorced categories are not coded separately.
In Wave 3H, the respondent is not asked marital status; it is derived from preloaded marital status and a
series of questions in the Cover Sheet section. There is a "corrected" marital status included in the
Wave 3H public use data. In addition, the separated and divorced statuses are not coded separately. In
Waves 1, 2, and 3H, partnership overrides any other marital status. Marital status in Wave 3A is also
derived using questions from the Cover Sheet section. The separated and divorced statuses are in a
single category, and partnership overrides any other marital status.
Beginning in Wave 4, all partnered and unmarried single respondents are asked marital status. Through
Wave 6, the status must be an unmarried status, treating separated as an unmarried category apart from
divorced. Beginning in Wave 7, married or annulled may be coded in addition to the unmarried statuses.
Marital status in the raw data is set to married or separated for respondents determined to have these
statuses from Cover Sheet section questions.
The Cover Sheet Section sequence of questions that lead to a marital status and determination of
"coupleness", are included in the data starting in Wave 3. These questions are examined to help set the
cleaned marital status. Included in the Cover Sheet questions are dates for when a spouse died or
separated, and when R started living with a new spouse or partner.
Respondents who have an unmarried to married transition between interviews, or vice versa, are asked
about marriages and ends of marriages (divorce or widowhood) that may have occurred between interviews at
all waves after the initial interview in which a respondent appears. If a marriage, divorce, or
widowhood is reported, the month and year of the event is asked.
Marriage history is asked of individuals at the first interview to which they respond. The questions
generally proceed from current marital status and ask number of marriages, the date the first and most
recent marriage began, and either the length or end date of those marriages. For previous marriages,
questions ask how it ended.
The skip pattern and amount of marital history information gathered varies from wave to wave. In wave 1,
data are collected on three past and the current or most recent marriage. For new respondents in Wave 2H
data are collected only about the first marriage. For new respondents in Wave 3H data are collected on
the first and most recent marriages. In Waves 4 and 5, new respondents are asked about 3 past and the
current marriage. In Wave 6, new respondents are asked about three past marriages. In Wave 6, an
apparent skip pattern problem occurred so that the current marriage data are not collected for new
respondents who are married. From Wave 7 forward, this problem appears to be corrected, so that
respondents are asked about up to four marriages, including the current one.
Section A: Demographics, Identifiers, and Weights
205
In Wave 1, there is no maximum for the number of marriages the respondent can report. If R reports more
than four marriages, then all information about at least some marriages will be completely missing. The
begin and end month of the current or most recent marriage are asked. For past marriages only the year
is obtained.
Except for overlap cases, the first interview for Ahead sample members is Wave 2A. Here respondents can
report a maximum of four marriages (meaning 4 or more), and are asked for details about only their
current, or most recent marriage (if currently living with someone). There are some issues with the
questions in this section. First, the "year married" question, which follows the marital status
question, presumably is referring to the respondent's current spouse. However, at least of couple of
people may have misunderstood the question. When we compared the marriage beginning dates reported by
overlap cases in HRS W1 and AHEAD W1, we found that four people, all of whom had multiple marriages, gave
dates that corresponded to previous marriages. Second, respondents who report "living with someone" are
then asked if they have ever been married, and if so, what year that marriage ended. The problem with
this sequence of questions is that a person can be married more than one time, in which case we assume
that they are reporting on the most recent marriage. For those not married then year the marriage ended
and the length of the marriage are ascertained.
For new respondents in Wave 2H the respondent can report a maximum of 15 marriages. The begin and end
year of the first marriage is asked if the respondent reports more than one marriage. If the respondent
only reports one marriage, the begin month and, if applicable, end month of the most recent marriage are
only asked if the event occurred between interviews. If R reports more than two marriages, the
information about any except the first and perhaps the most recent marriage will be completely missing.
For Waves 3A and 3H, new respondents can report being married a maximum of four times. They are asked
the year when the first and most recent marriages began. If a begin year is after 1992, the month of
marriage is also asked. If the marriage ended, the respondent is asked how many years it lasted. If R
reports more than two marriages, the information about any besides the first and most recent is
completely missing.
From Wave 4 forward, new respondents can report a maximum of four marriages. They are asked the month
and year the first three and most recent marriages began and how many years each marriage lasted. In
these waves there can be information about up to four marriages, which is the maximum number marriages
that can be reported, so all known marriages are inquired about. In Wave 6, because of a question skip
problem, the fourth marriage information was not collected. The month and year that the current marriage
began is missing for all new married new interviewees. The month and year of the fourth marriage is
missing for those with four marriages.
HRS Variables Used
HRS 1992:
V10225
V225
V226
V227
V228
V230
V231
V232
V233
V234
V235
V236
V237
V238
V239
V240
V241
V242
V243
V244
V245
A10:CURRENT MAR STAT:IND
A10:CURRENT MARR STA:IMP
A10A:DATE MARRIED-MONTH
A10A:DATE MARRIED-YEAR
A10B:EVER BEEN MARRIED
A10D:LAST MARR BEGIN-M0
A10D:LAST MARR BEGIN-YR
A10E:LAST MARR END-MO
A10E:LAST MARR END-YEAR
CKPT:TIMES BEEN MARRIED
A10G:END LAST MARR-MONTH
A10G:END LAST MARR-YR
A10H:BEGIN LAST MARR-MO
A10H:BEGIN LAST MARR-YR
A11:1ST MARRIAGE
A12:TOTAL TIMES MARRIED
A13:MAR1:YEAR BEGAN
A14:MAR1:DVRCD/WDOWD/OTH
A15:MAR1:YEAR ENDED
A13:MAR2:YEAR BEGAN
A14:MAR2:DVRCD/WDOWD/OTH
Section A: Demographics, Identifiers, and Weights
V246
V247
V248
V249
AHEAD 1993:
B150
B156
B158
B159
B160
B162
B163
B166
HRS 1994:
W200
W201
W202
W203
W204
W205
W206
W207
W208
W209
W210
W211
AHEAD 1995:
D226
D227
D228
D229
D247
D248
D676
D677
D678
D679
D680
D681
D682
D683
D684
D685
D739
D741
D742
D746
D747
D748
DMSTATR
HRS 1996:
E226
E227
E228
E229
E247
E248
E256A
E676
E677
E678
E679
E680
A15:MAR2:YEAR ENDED
A13:MAR3:YEAR BEGAN
A14:MAR3:DVRCD/WDOWD/OTH
A15:MAR3:YEAR ENDED
A11. R'S MARITAL STATUS
A11a. YEAR MARRIED
A11c. LIVE TGHR: EVER MARRIED
A11d. LIVE TGHR: YEAR MARRIAGE ENDED
A11e. LIVE TGHR: DIVORCED OR WIDOWED
A11g. DIV/WID: YEAR DIV/WID MOST RECENT
A11h. DIV/WID: YEARS MARRIED MOST RECENT
A13. # OF MARRIAGES EVER
A1. Marital Status
A2. Marriage Start After
A3. Marriage Month
A3. Marriage Year
A4. Divorced/Widowed Since
A5. Divorced/Widowed-Month
A5. Divorced/Widowed-Year
A6. Ever Been Married?
A7. Number of Times Married
A8. 1st Marriage-Year Begin
A9. Marriage End Divorce/Widow
A10. 1st Marriage-Year End
CS4.R SAME SP/P
CS5.SP/P ALIVE
CS6.MO/YR SEPARATE/DIE
CS6A.YEAR SEPARATE/DIE
CS15.MO/YR ST LIVE W/NEW SP/P
CS15A.YEAR ST LIVE W/NEW SP/P
A21.L-EVER MARRIED
A21A.# MARRIAGES
A22.FIRST MAR-YR BEGIN
A22A. FIRST MAR-MO BEGIN
A22B.FIRST MAR-END DIV/WID
A22C.FIRST MAR-YRS MARRIED
A23.RECENT MAR-YR BEGIN
A23A. RECENT MAR-MO BEGIN
A23B.RECENT MAR-END DIV/WID
A23C.RECENT MAR-YRS MARRIED
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/SWIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
HRS 95: Marital Status (w/ partnered)
CS4.R SAME SP/P
CS5.SP/P ALIVE
CS6.MO/YR SEPARATE/DIE
CS6A.YEAR SEPARATE/DIE
CS15.MO/YR ST LIVE W/NEW SP/P
CS15A.YEAR ST LIVE W/NEW SP/P
MARRIAGE STATUS - CORRECTED
A21.L-EVER MARRIED
A21A.# MARRIAGES
A22.FIRST MAR-YR BEGIN
A22A.FIRST MAR-MO BEGIN
A22B.FIRST MAR-END DIV/WID
206
Section A: Demographics, Identifiers, and Weights
E681
E682
E683
E684
E685
E739
E741
E742
E746
E747
E748
E750
HRS 1998:
F1059
F1061
F1062
F1066
F1067
F1068
F1071
F1072
F1073
F1074
F1075
F1076
F1077
F1078
F1079
F1080
F1081
F1082
F1084
F1085
F1087
F1088
F502
F504
F506
F526
F527
HRS 2000:
G1146
G1148
G1149
G1153
G1154
G1155
G1158
G1159
G1160
G1161
G1162
G1163
G1164
G1165
G1166
G1167
G1168
G1169
G1171
G1172
G1174
G1175
A22C.FIRST MAR-YRS MARRIED
A23.RECENT MAR-YR BEGIN
A23A.RECENT MAR-MO BEGIN
A23B.RECENT MAR-END DIV/WID
A23C.RECENT MAR-YRS MARRIED
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/SWIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
A42.FIRST MARRIAGE ENDED
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/WIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
A43A.MARITAL STATUS, ASSIGNED
A44.# MARRIAGES
A45.FIRST MAR-YR BEGIN
A45A.FIRST MAR-MON BEGIN
A45B.FIRST MAR-END DIV/WID
A45C.FIRST MAR-YRS MARRIED
A46.SECOND MAR-YR BEGIN
A46A.SECOND MAR-MON BEGIN
A46B.SECOND MAR-END DIV/WID
A46C.SECOND MAR-YRS MARRIED
A47.THIRD MAR-YR BEGIN
A47A.THIRD MAR-MON BEGIN
A47C.THIRD MAR-YRS MARRIED
A48.RECENT MAR-YR BEGIN
A48B.RECENT MAR-END DIV/WID
A48C.RECENT MAR-YRS MARRIED
CS4.1ST R SAME SPOUSE/P
CS5.PRELOAD SPOUSE/P ALIVE
CS6A.YEAR SEPARATE/DIE
CS15MO./YR S/P START LIVE TOGETHER
CS15YR.YEAR ST LIVE W/NEW SP/P
A40.POST W1 MARRIAGE START
A40A.POST W1 MARRIAGE MO
A40C.YEAR
A41.POST W1 DIV/WIDOWED
A41A.POST W1 DIV/WIDOW MOR
A41B.YEAR
A43A.MARITAL STATUS_ASSIGNED
A44.# MARRIAGES
A45.FIRST MAR-YR BEGIN
A45A.FIRST MAR-MON BEGIN
A45B.FIRST MAR-END DIV/WID
A45C.FIRST MAR-YRS MARRIED
A46.SECOND MAR-YR BEGIN
A46A.SECOND MAR-MON BEGIN
A46B.SECOND MAR-END DIV/WID
A46C.SECOND MAR-YRS MARRIED
A47.THIRD MAR-YR BEGIN
A47A.THIRD MAR-MON BEGIN
A47C.THIRD MAR-YRS MARRIED
A48.RECENT MAR-YR BEGIN
A48B.RECENT MAR-END DIV/WID
A48C.RECENT MAR-YRS MARRIED
207
Section A: Demographics, Identifiers, and Weights
G543
G545
G547
G567
G568
HRS 2002:
HA020
HA023
HA025
HA036
HA037
HB055
HB056
HB057
HB058
HB059
HB060
HB065
HB066_1
HB066_2
HB066_3
HB067_1
HB067_2
HB067_3
HB068_1
HB068_2
HB070_1
HB070_2
HB070_3
HMARITAL
HRS 2004:
JA020
JA023
JA025
JA036
JA037
JB055
JB056
JB057
JB058
JB059
JB060
JB065
JB066_1
JB066_2
JB066_3
JB067_1
JB067_2
JB067_3
JB068_1
JB068_2
JB070_1
JB070_2
JB070_3
JPN_SP
JSUBHH
HRS 2006:
KA020
KA023
KA025
KA036
KA037
KB055
CS4.1ST R SAME SPOUSE/P
CS5.PRELOAD SPOUSE/P ALIVE
CS6A.YEAR SEPARATE/DIE
CS15MO./YR S/P START LIVE TOGETHER
CS15YR.YEAR ST LIVE W/NEW SP/P
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
SECOND MARRIAGE YEAR BEGAN
THIRD MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
SECOND MARRIAGE MONTH BEGAN
THIRD MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
FIRST MARRIAGE-YEARS MARRIAGE
SECOND MARRIAGE-YEARS MARRIAGE
THIRD MARRIAGE-YEARS MARRIAGE
MARITAL STATUS
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
SECOND MARRIAGE YEAR BEGAN
THIRD MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
SECOND MARRIAGE MONTH BEGAN
THIRD MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
FIRST MARRIAGE-YEARS MARRIAGE
SECOND MARRIAGE-YEARS MARRIAGE
THIRD MARRIAGE-YEARS MARRIAGE
2004 SPOUSE/PARTNER PERSON NUMBER
2004 SUB-HOUSEHOLD INDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
208
Section A: Demographics, Identifiers, and Weights
KB056
KB057
KB058
KB059
KB060
KB065
KB066_1
KB066_2
KB066_3
KB067_1
KB067_2
KB067_3
KB068_1
KB068_2
KB070_1
KB070_2
KB070_3
KPN_SP
KSUBHH
HRS 2008:
LA020
LA023
LA025
LA036
LA037
LB055
LB056
LB057
LB058
LB059
LB060
LB065
LB066_1
LB066_2
LB066_3
LB067_1
LB067_2
LB067_3
LB068_1
LB068_2
LB070_1
LB070_2
LB070_3
LPN_SP
LSUBHH
HRS 2010:
MA020
MA023
MA025
MA036
MA037
MB055
MB056
MB057
MB058
MB059
MB060
MB065
MB066_1
MB066_2
MB066_3
MB067_1
MB067_2
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
SECOND MARRIAGE YEAR BEGAN
THIRD MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
SECOND MARRIAGE MONTH BEGAN
THIRD MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
FIRST MARRIAGE-YEARS MARRIAGE
SECOND MARRIAGE-YEARS MARRIAGE
THIRD MARRIAGE-YEARS MARRIAGE
2006 SPOUSE/PARTNER PERSON NUMBER
2006 SUB-HOUSEHOLD IDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
SECOND MARRIAGE YEAR BEGAN
THIRD MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
SECOND MARRIAGE MONTH BEGAN
THIRD MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
FIRST MARRIAGE-YEARS MARRIAGE
SECOND MARRIAGE-YEARS MARRIAGE
THIRD MARRIAGE-YEARS MARRIAGE
2008 SPOUSE/PARTNER PERSON NUMBER
2008 SUB-HOUSEHOLD IDENTFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
SECOND MARRIAGE YEAR BEGAN
THIRD MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
SECOND MARRIAGE MONTH BEGAN
209
Section A: Demographics, Identifiers, and Weights
MB067_3
MB068_1
MB068_2
MB070_1
MB070_2
MB070_3
MPN_SP
MSUBHH
HRS 2012:
NA020
NA023
NA025
NA036
NA037
NB055
NB056
NB057
NB058
NB059
NB060
NB065
NB066_1
NB066_2
NB066_3
NB067_1
NB067_2
NB067_3
NB068_1
NB068_2
NB070_1
NB070_2
NB070_3
NPN_SP
NSUBHH
Tracker:
AALIVE
AIWTYPE
APPN
CALIVE
CIWTYPE
CPPN
DALIVE
DIWTYPE
DPPN
EALIVE
EIWTYPE
EPPN
FALIVE
FIWTYPE
FPPN
GALIVE
GIWTYPE
GPPN
HALIVE
HIWTYPE
HPPN
JALIVE
JIWTYPE
JPPN
KALIVE
KIWTYPE
KPPN
LALIVE
THIRD MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
FIRST MARRIAGE-YEARS MARRIAGE
SECOND MARRIAGE-YEARS MARRIAGE
THIRD MARRIAGE-YEARS MARRIAGE
2010 SPOUSE/PARTNER PERSON NUMBER
2010 SUB-HOUSEHOLD IDENTIFIER
1ST R SAME SP/P
PREVIOUS WAVE SP/P ALIVE
YEAR COUPLE STOPPED LIVE TOGETHER/DIE
MO STARTED LIVING WITH NEW SP/P
YEAR STARTED LIVING WITH NEW SP/P
NEW MARRIAGE SINCE PREVIOUS WAVE
BETWEEN WAVE MARRIAGE START-MONTH
BETWEEN WAVE MARRIAGE START-YEAR
DIVORCE/WIDOW SINCE PREVIOUS WAVE
BETWEEN WAVE DIVORCE/WIDOW-MONTH
BETWEEN WAVE DIVORCE/WIDOW-YEAR
NUMBER OF MARRIAGES
FIRST MARRIAGE YEAR BEGAN
SECOND MARRIAGE YEAR BEGAN
THIRD MARRIAGE YEAR BEGAN
FIRST MARRIAGE MONTH BEGAN
SECOND MARRIAGE MONTH BEGAN
THIRD MARRIAGE MONTH BEGAN
FIRST MARRIAGE END DIVORCE/WIDOW
SECOND MARRIAGE END DIVORCE/WIDOW
FIRST MARRIAGE-YEARS MARRIAGE
SECOND MARRIAGE-YEARS MARRIAGE
THIRD MARRIAGE-YEARS MARRIAGE
2012 SPOUSE/PARTNER PERSON NUMBER
2012 SUB-HOUSEHOLD IDENTIFIER
1992
1992
1992
1994
1994
1994
1995
1995
1995
1996
1996
1996
1998
1998
1998
2000
2000
2000
2002
2002
2002
2004
2004
2004
2006
2006
2006
2008
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER
VITAL STATUS
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
PERSON NUMBER
210
Section A: Demographics, Identifiers, and Weights
LIWTYPE
LPPN
MALIVE
MIWTYPE
MPPN
NALIVE
NIWTYPE
NPPN
2008
2008
2010
2010
2010
2012
2012
2012
INTERVIEW TYPE
SPOUSE-PARTNER PERSON NUMBER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER PERSON NUMBER
VITAL STATUS
INTERVIEW TYPE
SPOUSE-PARTNER PERSON NUMBER
211
Section A: Demographics, Identifiers, and Weights
212
Religion
Wave
Variable
Label
Type
1
RARELIG
RARELIG: R Religion
Categ
1
2
3
4
5
6
7
8
9
10
11
S1RELIG
S2RELIG
S3RELIG
S4RELIG
S5RELIG
S6RELIG
S7RELIG
S8RELIG
S9RELIG
S10RELIG
S11RELIG
S1RELIG: S Religion
S2RELIG: S Religion
S3RELIG: S Religion
S4RELIG: S Religion
S5RELIG: S Religion
S6RELIG: S Religion
S7RELIG: S Religion
S8RELIG: S Religion
S9RELIG: S Religion
S10RELIG: S Religion
S11RELIG: S Religion
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
RARELIG
37195
1.63
1.00
1.0
5.0
S1RELIG
S2RELIG
S3RELIG
S4RELIG
S5RELIG
S6RELIG
S7RELIG
S8RELIG
S9RELIG
S10RELIG
S11RELIG
10101
13410
12145
14303
12910
11739
13168
11897
10849
13843
12769
1.49
1.51
1.51
1.53
1.53
1.53
1.58
1.57
1.58
1.72
1.74
0.81
0.85
0.85
0.87
0.87
0.88
0.92
0.92
0.92
1.07
1.09
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
Categorical Variable Codes
Value----------------------|RARELIG
.D=DK
|30
.M=Oth missing
|69
.R=RF
|25
1.Protestant
|22585
2.Catholic
|10121
3.Jewish
|794
4.None/no pref
|2886
5.Other
|809
Value----------------------|S1RELIG
.D=DK
|5
.M=Oth missing
|14
.R=RF
|
.U=Unmar
|2373
.V=Sp NR
|159
1.Protestant
|6522
2.Catholic
|2845
3.Jewish
|185
4.None/no pref
|468
5.Other
|81
S2RELIG
3
49
1
5970
209
8616
3638
378
636
142
S3RELIG
4
41
2
5658
141
7810
3280
352
568
135
S4RELIG
8
35
2
6869
167
9122
3898
360
761
162
S5RELIG
7
35
1
6538
88
8195
3551
312
701
151
S6RELIG
7
35
4
6306
74
7444
3241
264
650
140
S7RELIG
11
33
7
6777
133
8116
3689
284
936
143
S8RELIG
9
34
5
6417
107
7386
3293
250
840
128
S9RELIG
11
29
5
6206
117
6713
3007
226
777
126
S10RELIG
11
25
10
7795
350
7951
3972
218
1316
386
S11RELIG
9
18
10
7473
275
7245
3689
196
1231
408
How Constructed:
This variable is assigned by looking at all waves of data for the first non-missing values. The Wave 1
and 2H values are recoded to 5 categories to be compatible with the codes from Wave 3H forward, and for
Section A: Demographics, Identifiers, and Weights
213
the AHEAD sample, from Wave 2A forward. The broader categories used for Waves 1 and 2H are: Protestant
(including 'non-traditional Christian'), Catholic, Jewish, none or no preference, and other.
From Wave 3H forward, the HRS variable is simply recoded for missing values.
2A forward.
The same is true for Wave
The spouse variable SwRELIG is taken from the Wave 'w' spouse's self-reported data, i.e., from the
spouse's RARELIG variable.
Cross Wave Differences in Original HRS Data
In Wave 1 the questions on religious preference are asked as follows:
What is your religious preference: Protestant, Roman Catholic, Jewish, or something else?
What denomination is that?
From Wave 2 forward, the wording of the first question is slightly different:
What is your religious preference; Is it Protestant, Catholic, Jewish, some other religion, or do you
have no preference?
In Waves 1 and 2H, the resulting variable codes only the "denomination" but the codebook lists them in
broader groupings: Protestant, Catholic, Jewish, non-traditional Christian (e.g., Quakers, Latter Day
Saints), non-Judeo-Christian (e.g., Hindu, Islam), no religion, and other (e.g., Jewish and Catholic, or
Catholic summers / Lutheran winters).
From Wave 3H forward, and for the AHEAD sample, from Wave 2A forward, the resulting variable appears to
be based on the first question with only 5 codes: Protestant, Catholic, Jewish, No preference, and Other.
HRS Variables Used
HRS 1992:
V214
AHEAD 1993:
B134
HRS 1994:
W226
AHEAD 1995:
D732
HRS 1996:
E732
HRS 1998:
F1052
HRS 2000:
G1139
HRS 2002:
HB050
HRS 2004:
JB050
HRS 2006:
KB050
HRS 2008:
LB050
HRS 2010:
MB050
HRS 2012:
NB050
A6:RELIGIOUS PREFERENCE
A6. R'S RELIGION
A14(a). Religious Preference
A36.R RELIGIOUS PREF
A36.R RELIGIOUS PREF
A36.R RELIGIOUS PREF
A36.R RELIGIOUS PREF
R RELIGIOUS PREFERENCE
R RELIGIOUS PREFERENCE
R RELIGIOUS PREFERENCE
R RELIGIOUS PREFERENCE
R RELIGIOUS PREFERENCE
R RELIGIOUS PREFERENCE
Section A: Demographics, Identifiers, and Weights
214
Veteran status
Wave
Variable
Label
Type
1
RAVETRN
RAVETRN: R Veteran Status
Categ
1
2
3
4
5
6
7
8
9
10
11
S1VETRN
S2VETRN
S3VETRN
S4VETRN
S5VETRN
S6VETRN
S7VETRN
S8VETRN
S9VETRN
S10VETRN
S11VETRN
S1VETRN: S Veteran Status
S2VETRN: S Veteran Status
S3VETRN: S Veteran Status
S4VETRN: S Veteran Status
S5VETRN: S Veteran Status
S6VETRN: S Veteran Status
S7VETRN: S Veteran Status
S8VETRN: S Veteran Status
S9VETRN: S Veteran Status
S10VETRN: S Veteran Status
S11VETRN: S Veteran Status
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
RAVETRN
37273
0.21
0.41
0.0
1.0
S1VETRN
S2VETRN
S3VETRN
S4VETRN
S5VETRN
S6VETRN
S7VETRN
S8VETRN
S9VETRN
S10VETRN
S11VETRN
10119
13429
12165
14329
12930
11764
13201
11926
10880
13873
12796
0.29
0.29
0.29
0.29
0.29
0.29
0.26
0.26
0.26
0.21
0.20
0.45
0.45
0.46
0.46
0.46
0.45
0.44
0.44
0.44
0.41
0.40
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Categorical Variable Codes
Value----------------------|RAVETRN
.D=DK/NA
|4
.M=Oth missing
|39
.R=RF
|3
0.no
|29453
1.yes
|7820
Value----------------------|S1VETRN
.D=DK/NA
|
.M=Oth missing
|4
.R=RF
|
.U=Unmar
|2373
.V=Sp NR
|156
0.no
|7182
1.yes
|2937
S2VETRN
S3VETRN
36
29
S4VETRN
1
23
5970
207
9502
3927
5658
139
8586
3579
6869
162
10105
4224
S5VETRN
2
20
1
6538
88
9140
3790
S6VETRN
2
18
1
6306
74
8342
3422
S7VETRN
1
16
1
6777
133
9734
3467
S8VETRN
1
17
1
6417
107
8819
3107
S9VETRN
1
12
1
6206
117
8067
2813
S10VETRN
1
13
2
7795
350
10975
2898
S11VETRN
1
8
2
7473
274
10232
2564
How Constructed:
This variable is assigned by looking at all waves of data for the first non-missing values. The first
non-missing value for veteran status is used. It is coded as 1 for yes, served in the military and 0 for
no.
The spouse's RwVETRN variable is taken from the Wave 'w' spouse's sel-reported veteran status, i.e., from
the Wave 'w' spouse's RAVETRN.
Section A: Demographics, Identifiers, and Weights
215
Cross Wave Differences in Original HRS Data
The question about military service is only asked at the respondent's first interview.
In Waves 1 and 2H the question wording is:
Have you ever been in the active military service?
From Wave 3H forward, and from Wave 2A of the AHEAD sample forward, the question wording is:
Have you ever served in the active military of the United States?
HRS Variables Used
HRS 1992:
V222
AHEAD 1993:
B146
HRS 1994:
W234
AHEAD 1995:
D670
HRS 1996:
E670
HRS 1998:
F1008
HRS 2000:
G1095
HRS 2002:
HB035
HRS 2004:
JB035
HRS 2006:
KB035
HRS 2008:
LB035
HRS 2010:
MB035
HRS 2012:
NB035
A9:EVER IN MILITARY
A10. MILITARY SERVICE
A17. Ever in Military
A10.MILITARY
A10.MILITARY
A10.MILITARY
A10.MILITARY
R SERVED IN MILITARY
R SERVED IN MILITARY
R SERVED IN MILITARY
R SERVED IN MILITARY
R SERVED IN MILITARY
R SERVED IN MILITARY
Section A: Demographics, Identifiers, and Weights
216
Place of birth
Wave
Variable
Label
Type
1
RABPLACE
RABPLACE: R Place of Birth (Cens Region)
Categ
1
2
3
4
5
6
7
8
9
10
11
S1BPLACE
S2BPLACE
S3BPLACE
S4BPLACE
S5BPLACE
S6BPLACE
S7BPLACE
S8BPLACE
S9BPLACE
S10BPLACE
S11BPLACE
S1BPLACE: S Place of Birth (Cens Region)
S2BPLACE: S Place of Birth (Cens Region)
S3BPLACE: S Place of Birth (Cens Region)
S4BPLACE: S Place of Birth (Cens Region)
S5BPLACE: S Place of Birth (Cens Region)
S6BPLACE: S Place of Birth (Cens Region)
S7BPLACE: S Place of Birth (Cens Region)
S8BPLACE: S Place of Birth (Cens Region)
S9BPLACE: S Place of Birth (Cens Region)
S10BPLACE: S Place of Birth (Cens Region)
S11BPLACE: S Place of Birth (Cens Region)
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
RABPLACF
RABPLACF: Flag diff RABPLACE/USBORN(trk)
Categ
1
2
3
4
5
6
7
8
9
10
11
S1BPLACF
S2BPLACF
S3BPLACF
S4BPLACF
S5BPLACF
S6BPLACF
S7BPLACF
S8BPLACF
S9BPLACF
S10BPLACF
S11BPLACF
S1BPLACF: Flag diff RABPLACE/USBORN(trk)
S2BPLACF: Flag diff RABPLACE/USBORN(trk)
S3BPLACF: Flag diff RABPLACE/USBORN(trk)
S4BPLACF: Flag diff RABPLACE/USBORN(trk)
S5BPLACF: Flag diff RABPLACE/USBORN(trk)
S6BPLACF: Flag diff RABPLACE/USBORN(trk)
S7BPLACF: Flag diff RABPLACE/USBORN(trk)
S8BPLACF: Flag diff RABPLACE/USBORN(trk)
S9BPLACF: Flag diff RABPLACE/USBORN(trk)
S10BPLACF: Flag diff RABPLACE/USBORN(trk)
S11BPLACF: Flag diff RABPLACE/USBORN(trk)
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
RABPLACE
37281
5.38
2.99
1.0
11.0
S1BPLACE
S2BPLACE
S3BPLACE
S4BPLACE
S5BPLACE
S6BPLACE
S7BPLACE
S8BPLACE
S9BPLACE
S10BPLACE
S11BPLACE
10122
13435
12169
14340
12942
11771
13205
11929
10882
13876
12798
5.25
5.13
5.14
5.10
5.12
5.14
5.23
5.21
5.24
5.53
5.57
2.85
2.85
2.85
2.83
2.85
2.86
2.94
2.92
2.95
3.13
3.15
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
11.0
11.0
11.0
11.0
11.0
11.0
11.0
11.0
11.0
11.0
11.0
RABPLACF
37319
0.00
0.07
0.0
3.0
S1BPLACF
S2BPLACF
S3BPLACF
S4BPLACF
S5BPLACF
S6BPLACF
S7BPLACF
S8BPLACF
S9BPLACF
10279
13608
12269
14453
13007
11822
13307
12001
10953
0.01
0.00
0.01
0.01
0.01
0.00
0.01
0.00
0.00
0.09
0.08
0.08
0.10
0.10
0.08
0.09
0.08
0.08
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
Section A: Demographics, Identifiers, and Weights
S10BPLACF
S11BPLACF
14151
12987
0.00
0.00
217
0.07
0.07
0.0
0.0
2.0
2.0
Categorical Variable Codes
Value----------------------|RABPLACE
.M=Oth missing
|38
1. New England
|1706
2. Mid Atlantic
|5088
3. EN Central
|6021
4. WN Central
|3230
5. S Atlantic
|6465
6. ES Central
|3020
7. WS Central
|3750
8. Mountain
|1020
9. Pacific
|1717
10.US/NA Division
|501
11.Not US/inc US terr
|4763
Value----------------------|S1BPLACE
.M=Oth missing
|1
.U=Unmar
|2373
.V=Sp NR
|156
1. New England
|408
2. Mid Atlantic
|1424
3. EN Central
|1612
4. WN Central
|1005
5. S Atlantic
|1712
6. ES Central
|985
7. WS Central
|1033
8. Mountain
|335
9. Pacific
|494
10.US/NA Division
|10
11.Not US/inc US terr
|1104
S2BPLACE
33
5970
204
584
2026
2308
1385
2079
1176
1385
436
668
34
1354
S3BPLACE
26
5658
138
517
1845
2113
1279
1835
1046
1248
406
623
28
1229
S4BPLACE
21
6869
154
653
2116
2546
1531
2184
1172
1455
482
811
30
1360
S5BPLACE
18
6538
81
598
1905
2304
1401
1925
1034
1327
434
717
24
1273
S6BPLACE
16
6306
72
516
1699
2144
1280
1724
943
1198
397
679
19
1172
S7BPLACE
15
6777
132
605
1802
2493
1403
1863
989
1225
481
833
27
1484
S8BPLACE
17
6417
106
547
1650
2262
1287
1618
899
1161
431
766
21
1287
S9BPLACE
12
6206
117
495
1464
2101
1166
1476
801
1030
398
708
19
1224
S10BPLACE
13
7795
350
662
1718
2433
1256
2209
934
1230
392
710
159
2173
S11BPLACE
8
7473
275
606
1555
2211
1145
2046
889
1092
374
660
156
2064
S2BPLACF
5970
64
13549
54
2
3
S3BPLACF
5658
64
12208
57
1
3
S4BPLACF
6869
62
14392
51
1
9
S5BPLACF
6538
34
12949
48
1
9
S6BPLACF
6306
37
11770
48
1
3
S7BPLACF
6777
45
13241
61
1
4
S8BPLACF
6417
51
11946
52
1
2
S9BPLACF
6206
58
10902
49
1
1
S10BPLACF
7795
88
14092
58
1
S11BPLACF
7473
94
12932
54
1
Value----------------------|RABPLACF
0.No Discrepancy
|37168
1.Trk=US/RABPLACE=outside U|144
2.Trk=not US/RABPLACE=US
|3
3.Trk=miss/RABPLACE=valid c|4
Value----------------------|S1BPLACF
.U=Unmar
|2373
.V=Sp NR
|
0.No Discrepancy
|10209
1.Trk=US/RABPLACE=outside U|67
2.Trk=not US/RABPLACE=US
|2
3.Trk=miss/RABPLACE=valid c|1
How Constructed:
RABPLACE indicates the respondent's birthplace. It is assigned by looking at all waves of data for the
first non-missing value. Place of birth is reported as Census Division; a code of 11 indicates not in
the US, including foreign countries and U.S. territories. A code of 10 indicates in the US but without
the Census Division information.
In Wave 2A of AHEAD, the Census Division is not available; only whether R was born in the US or not. This
is used to set the birthplace to code 10 or 11.
The HRS Region file also provides the Census Division of birthplace in the variable REGIONB. If RABPLACE
is missing or 10, and a more specific Census Division is available from this source, we use it to fill
RABPLACE.
There are some cases where REGIONB is 05, a valid Census Division, but the core data indicate that R is
foreign-born (RABPLACE=11). For these cases we leave RABPLACE as coded in the core data, i.e., as
foreign-born. Note that a code of 5 typically means No in the HRS.
We compare RABPLACE to the USBORN variable on the Tracker file and code the results in RABPLACF. There
are cases where USBORN indicates that R was born in the U.S. but the birth place given in the core data
and Region file is coded foreign-born. There are also cases where USBORN indicates that R was born
outside the U.S., but the core and Region file indicate a U.S. Census Division. In these cases we use the
birth place coded in the core data but indicate the discrepancy in RABPLACF.
Section A: Demographics, Identifiers, and Weights
218
The spouse's variable SwBPLACE is taken from the Wave 'w' spouse's self-reported birthplace, i.e., from
the Wave 'w' spouse's RABPLACE.
Cross Wave Differences in Original HRS Data
The first time a respondent is interviewed, the HRS survey asks where he/she was born.
U.S. are asked which state and those born outside the U.S. are asked which country.
Those born in the
In the public use data files, there is one variable which codes whether the respondent is U.S.-born and
another in which the state or country of birth is masked, that is, recoded to one variable indicating the
Census Region of birth, with a code for non-U.S. birthplaces.
In Wave 2A of AHEAD, only the first variable, whether R is U.S.-born, is available. In all other waves
the Census Region is also available.
There is also a variable available from the HRS Region file (REGIONB). The Tracker file also carries a
variable based on whether R reports being born in the U.S. (USBORN).
HRS Variables Used
HRS 1992:
V205
AHEAD 1993:
B117
HRS 1994:
W216
AHEAD 1995:
D639
D640M
HRS 1996:
E639
E640M
HRS 1998:
F971
F972M
HRS 2000:
G1060
G1061M
HRS 2002:
HB002
HB003M
HRS 2004:
JB002
JB003M
HRS 2006:
KB002
KB003M
HRS 2008:
LB002
LB003M
HRS 2010:
MB002
MB003M
HRS 2012:
NB002
NB003M
Tracker:
USBORN
Region:
REGIONB
A2AB:WHERE BORN
A2. BORN US?
A12a/b. State/Country of Birth
A2.BORN US?
A2A. REGION - US BORN
A2.BORN US?
A2A. REGION - US BORN
A2.BORN US?
A2A.REGION - US BORN
A2.BORN US?
A2A.REGION - US BORN
BORN IN US
STATE BORN - MASKED
BORN IN US
STATE BORN - MASKED
BORN IN US
STATE BORN - MASKED
BORN IN US
STATE BORN - MASKED
BORN IN US
STATE BORN - MASKED
BORN IN US
STATE BORN - MASKED
BORN IN THE U.S.
REGION OF BIRTH
Section A: Demographics, Identifiers, and Weights
219
Parental mortality
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1MOMLIV
R2MOMLIV
R3MOMLIV
R4MOMLIV
R5MOMLIV
R6MOMLIV
R7MOMLIV
R8MOMLIV
R9MOMLIV
R10MOMLIV
R11MOMLIV
R1MOMLIV:W1 Mother alive
R2MOMLIV:W2 Mother alive
R3MOMLIV:W3 Mother alive
R4MOMLIV:W4 Mother alive
R5MOMLIV:W5 Mother alive
R6MOMLIV:W6 Mother alive
R7MOMLIV:W7 Mother alive
R8MOMLIV:W8 Mother alive
R9MOMLIV:W9 Mother alive
R10MOMLIV:W10 Mother alive
R11MOMLIV:W11 Mother alive
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1MOMLIV
S2MOMLIV
S3MOMLIV
S4MOMLIV
S5MOMLIV
S6MOMLIV
S7MOMLIV
S8MOMLIV
S9MOMLIV
S10MOMLIV
S11MOMLIV
S1MOMLIV:W1 Mother alive
S2MOMLIV:W2 Mother alive
S3MOMLIV:W3 Mother alive
S4MOMLIV:W4 Mother alive
S5MOMLIV:W5 Mother alive
S6MOMLIV:W6 Mother alive
S7MOMLIV:W7 Mother alive
S8MOMLIV:W8 Mother alive
S9MOMLIV:W9 Mother alive
S10MOMLIV:W10 Mother alive
S11MOMLIV:W11 Mother alive
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
R1DADLIV
R2DADLIV
R3DADLIV
R4DADLIV
R5DADLIV
R6DADLIV
R7DADLIV
R8DADLIV
R9DADLIV
R10DADLIV
R11DADLIV
R1DADLIV:W1 Father alive
R2DADLIV:W2 Father alive
R3DADLIV:W3 Father alive
R4DADLIV:W4 Father alive
R5DADLIV:W5 Father alive
R6DADLIV:W6 Father alive
R7DADLIV:W7 Father alive
R8DADLIV:W8 Father alive
R9DADLIV:W9 Father alive
R10DADLIV:W10 Father alive
R11DADLIV:W11 Father alive
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1DADLIV
S2DADLIV
S3DADLIV
S4DADLIV
S5DADLIV
S6DADLIV
S7DADLIV
S8DADLIV
S9DADLIV
S10DADLIV
S11DADLIV
S1DADLIV:W1 Father alive
S2DADLIV:W2 Father alive
S3DADLIV:W3 Father alive
S4DADLIV:W4 Father alive
S5DADLIV:W5 Father alive
S6DADLIV:W6 Father alive
S7DADLIV:W7 Father alive
S8DADLIV:W8 Father alive
S9DADLIV:W9 Father alive
S10DADLIV:W10 Father alive
S11DADLIV:W11 Father alive
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
R1LIVPAR
R2LIVPAR
R3LIVPAR
R4LIVPAR
R5LIVPAR
R6LIVPAR
R7LIVPAR
R8LIVPAR
R9LIVPAR
R1LIVPAR:W1
R2LIVPAR:W2
R3LIVPAR:W3
R4LIVPAR:W4
R5LIVPAR:W5
R6LIVPAR:W6
R7LIVPAR:W7
R8LIVPAR:W8
R9LIVPAR:W9
Number
Number
Number
Number
Number
Number
Number
Number
Number
of
of
of
of
of
of
of
of
of
living
living
living
living
living
living
living
living
living
parents
parents
parents
parents
parents
parents
parents
parents
parents
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Section A: Demographics, Identifiers, and Weights
220
10
11
R10LIVPAR
R11LIVPAR
R10LIVPAR:W10 Number of living parents
R11LIVPAR:W11 Number of living parents
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1LIVPAR
S2LIVPAR
S3LIVPAR
S4LIVPAR
S5LIVPAR
S6LIVPAR
S7LIVPAR
S8LIVPAR
S9LIVPAR
S10LIVPAR
S11LIVPAR
S1LIVPAR:W1 Number of living parents
S2LIVPAR:W2 Number of living parents
S3LIVPAR:W3 Number of living parents
S4LIVPAR:W4 Number of living parents
S5LIVPAR:W5 Number of living parents
S6LIVPAR:W6 Number of living parents
S7LIVPAR:W7 Number of living parents
S8LIVPAR:W8 Number of living parents
S9LIVPAR:W9 Number of living parents
S10LIVPAR:W10 Number of living parents
S11LIVPAR:W11 Number of living parents
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
R1MOMAGE
R2MOMAGE
R3MOMAGE
R4MOMAGE
R5MOMAGE
R6MOMAGE
R7MOMAGE
R8MOMAGE
R9MOMAGE
R10MOMAGE
R11MOMAGE
R1MOMAGE:W1 Mother age current/at death
R2MOMAGE:W2 Mother age current/at death
R3MOMAGE:W3 Mother age current/at death
R4MOMAGE:W4 Mother age current/at death
R5MOMAGE:W5 Mother age current/at death
R6MOMAGE:W6 Mother age current/at death
R7MOMAGE:W7 Mother age current/at death
R8MOMAGE:W8 Mother age current/at death
R9MOMAGE:W9 Mother age current/at death
R10MOMAGE:W10 Mother age current/at death
R11MOMAGE:W11 Mother age current/at death
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1MOMAGE
S2MOMAGE
S3MOMAGE
S4MOMAGE
S5MOMAGE
S6MOMAGE
S7MOMAGE
S8MOMAGE
S9MOMAGE
S10MOMAGE
S11MOMAGE
S1MOMAGE:W1 Mother age current/at death
S2MOMAGE:W2 Mother age current/at death
S3MOMAGE:W3 Mother age current/at death
S4MOMAGE:W4 Mother age current/at death
S5MOMAGE:W5 Mother age current/at death
S6MOMAGE:W6 Mother age current/at death
S7MOMAGE:W7 Mother age current/at death
S8MOMAGE:W8 Mother age current/at death
S9MOMAGE:W9 Mother age current/at death
S10MOMAGE:W10 Mother age current/at death
S11MOMAGE:W11 Mother age current/at death
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
R1DADAGE
R2DADAGE
R3DADAGE
R4DADAGE
R5DADAGE
R6DADAGE
R7DADAGE
R8DADAGE
R9DADAGE
R10DADAGE
R11DADAGE
R1DADAGE:W1 Father age current/at death
R2DADAGE:W2 Father age current/at death
R3DADAGE:W3 Father age current/at death
R4DADAGE:W4 Father age current/at death
R5DADAGE:W5 Father age current/at death
R6DADAGE:W6 Father age current/at death
R7DADAGE:W7 Father age current/at death
R8DADAGE:W8 Father age current/at death
R9DADAGE:W9 Father age current/at death
R10DADAGE:W10 Father age current/at death
R11DADAGE:W11 Father age current/at death
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1DADAGE
S2DADAGE
S3DADAGE
S4DADAGE
S5DADAGE
S6DADAGE
S7DADAGE
S8DADAGE
S9DADAGE
S10DADAGE
S11DADAGE
S1DADAGE:W1 Father age current/at death
S2DADAGE:W2 Father age current/at death
S3DADAGE:W3 Father age current/at death
S4DADAGE:W4 Father age current/at death
S5DADAGE:W5 Father age current/at death
S6DADAGE:W6 Father age current/at death
S7DADAGE:W7 Father age current/at death
S8DADAGE:W8 Father age current/at death
S9DADAGE:W9 Father age current/at death
S10DADAGE:W10 Father age current/at death
S11DADAGE:W11 Father age current/at death
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Section A: Demographics, Identifiers, and Weights
221
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1MOMLIV
R2MOMLIV
R3MOMLIV
R4MOMLIV
R5MOMLIV
R6MOMLIV
R7MOMLIV
R8MOMLIV
R9MOMLIV
R10MOMLIV
R11MOMLIV
12483
19494
17769
21066
19176
17787
19768
18138
16915
21681
20276
0.44
0.24
0.21
0.22
0.19
0.17
0.22
0.19
0.17
0.26
0.24
0.50
0.43
0.41
0.42
0.40
0.38
0.41
0.39
0.38
0.44
0.42
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S1MOMLIV
S2MOMLIV
S3MOMLIV
S4MOMLIV
S5MOMLIV
S6MOMLIV
S7MOMLIV
S8MOMLIV
S9MOMLIV
S10MOMLIV
S11MOMLIV
10119
13297
11930
14019
12444
11143
12520
11246
10184
12899
11828
0.44
0.28
0.25
0.26
0.23
0.21
0.26
0.23
0.21
0.30
0.28
0.50
0.45
0.43
0.44
0.42
0.41
0.44
0.42
0.41
0.46
0.45
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R1DADLIV
R2DADLIV
R3DADLIV
R4DADLIV
R5DADLIV
R6DADLIV
R7DADLIV
R8DADLIV
R9DADLIV
R10DADLIV
R11DADLIV
12311
19451
17761
20988
19301
17925
19874
18244
17000
21664
20312
0.19
0.09
0.08
0.09
0.08
0.06
0.10
0.08
0.07
0.13
0.11
0.39
0.29
0.27
0.29
0.27
0.25
0.30
0.28
0.26
0.34
0.32
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S1DADLIV
S2DADLIV
S3DADLIV
S4DADLIV
S5DADLIV
S6DADLIV
S7DADLIV
S8DADLIV
S9DADLIV
S10DADLIV
S11DADLIV
9989
13254
11890
13898
12469
11153
12488
11208
10147
12757
11720
0.19
0.11
0.10
0.11
0.10
0.08
0.12
0.11
0.09
0.16
0.14
0.40
0.32
0.29
0.32
0.30
0.28
0.33
0.31
0.29
0.36
0.34
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R1LIVPAR
R2LIVPAR
R3LIVPAR
R4LIVPAR
R5LIVPAR
R6LIVPAR
R7LIVPAR
R8LIVPAR
R9LIVPAR
R10LIVPAR
R11LIVPAR
12296
19400
17649
20904
19057
17686
19646
18028
16803
21458
20127
0.62
0.33
0.29
0.31
0.27
0.24
0.32
0.27
0.24
0.39
0.35
0.69
0.58
0.54
0.56
0.54
0.50
0.59
0.55
0.52
0.64
0.61
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
Section A: Demographics, Identifiers, and Weights
222
S1LIVPAR
S2LIVPAR
S3LIVPAR
S4LIVPAR
S5LIVPAR
S6LIVPAR
S7LIVPAR
S8LIVPAR
S9LIVPAR
S10LIVPAR
S11LIVPAR
9979
13189
11771
13804
12242
10919
12268
10983
9917
12519
11480
0.63
0.40
0.35
0.37
0.33
0.29
0.38
0.34
0.30
0.46
0.41
0.70
0.62
0.58
0.61
0.59
0.55
0.63
0.60
0.57
0.68
0.65
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
2.0
R1MOMAGE
R2MOMAGE
R3MOMAGE
R4MOMAGE
R5MOMAGE
R6MOMAGE
R7MOMAGE
R8MOMAGE
R9MOMAGE
R10MOMAGE
R11MOMAGE
12482
18876
17306
20470
18669
17375
19373
17803
16634
21366
19995
72.53
73.56
74.09
74.62
74.99
75.37
75.23
75.75
76.19
75.52
76.01
13.20
15.11
15.23
14.93
15.08
15.18
14.72
14.82
14.86
14.23
14.36
16.0
16.0
16.0
15.0
15.0
16.0
16.0
16.0
16.0
16.0
16.0
95.0
110.0
110.0
113.0
113.0
110.0
113.0
113.0
113.0
113.0
114.0
S1MOMAGE
S2MOMAGE
S3MOMAGE
S4MOMAGE
S5MOMAGE
S6MOMAGE
S7MOMAGE
S8MOMAGE
S9MOMAGE
S10MOMAGE
S11MOMAGE
10115
12990
11700
13593
12041
10799
12183
10922
9882
12618
11479
72.62
73.80
74.43
74.86
75.21
75.84
75.58
76.20
76.69
75.85
76.46
13.03
14.52
14.61
14.35
14.52
14.55
14.07
14.20
14.24
13.74
13.86
17.0
17.0
17.0
17.0
17.0
17.0
16.0
16.0
16.0
16.0
16.0
95.0
110.0
110.0
113.0
113.0
110.0
113.0
110.0
110.0
110.0
110.0
R1DADAGE
R2DADAGE
R3DADAGE
R4DADAGE
R5DADAGE
R6DADAGE
R7DADAGE
R8DADAGE
R9DADAGE
R10DADAGE
R11DADAGE
12311
18542
17043
20006
18467
17212
19099
17567
16400
20880
19573
69.87
70.64
70.78
71.04
71.26
71.42
71.50
71.62
71.88
71.88
72.07
13.62
14.37
14.48
14.34
14.38
14.47
14.19
14.30
14.44
14.09
14.28
16.0
16.0
16.0
19.0
19.0
19.0
12.0
12.0
12.0
12.0
12.0
96.0
110.0
116.0
107.0
107.0
107.0
110.0
110.0
110.0
110.0
110.0
S1DADAGE
S2DADAGE
S3DADAGE
S4DADAGE
S5DADAGE
S6DADAGE
S7DADAGE
S8DADAGE
S9DADAGE
S10DADAGE
S11DADAGE
9987
12825
11526
13275
11957
10734
12031
10794
9781
12331
11273
70.03
70.60
70.77
71.08
71.39
71.60
71.77
72.00
72.25
72.13
72.36
13.44
14.12
14.24
14.11
14.14
14.26
13.96
14.05
14.22
13.90
14.12
16.0
16.0
16.0
19.0
19.0
19.0
12.0
12.0
12.0
12.0
12.0
95.0
105.0
116.0
106.0
106.0
106.0
110.0
110.0
110.0
110.0
110.0
Categorical Variable Codes
Section A: Demographics, Identifiers, and Weights
223
Value----------------------|R1MOMLIV
.D=DK/NA
|26
.M=Oth missing
|143
.R=RF
|
0.no
|7051
1.yes
|5432
R2MOMLIV R3MOMLIV R4MOMLIV
9
11
15
139
209
296
2
7
14848
13998
16388
4646
3771
4678
R5MOMLIV
14
388
1
15452
3724
R6MOMLIV
12
360
6
14751
3036
R7MOMLIV
19
341
1
15444
4324
Value----------------------|S1MOMLIV
.D=DK/NA
|22
.M=Oth missing
|138
.R=RF
|
.U=Unmar
|2373
.V=Sp NR
|
0.no
|5652
1.yes
|4467
S2MOMLIV S3MOMLIV S4MOMLIV
7
13
14
368
387
475
3
7
5970
5658
6869
S5MOMLIV
12
584
1
6538
9523
3774
8909
3021
10311
3708
9527
2917
S6MOMLIV
8
592
5
6306
111
8832
2311
Value----------------------|R1DADLIV
.D=DK/NA
|169
.M=Oth missing
|172
.R=RF
|
0.no
|10019
1.yes
|2292
R2DADLIV
58
132
1
17642
1809
R3DADLIV
40
188
2
16393
1368
R4DADLIV
67
323
6
19112
1876
R5DADLIV
45
232
1
17800
1501
Value----------------------|S1DADLIV
.D=DK/NA
|122
.M=Oth missing
|168
.R=RF
|
.U=Unmar
|2373
.V=Sp NR
|
0.no
|8055
1.yes
|1934
S2DADLIV
42
375
1
5970
S3DADLIV
35
403
5
5658
S4DADLIV
55
553
9
6869
S5DADLIV
36
534
2
6538
11747
1507
10756
1134
12333
1565
11209
1260
R8MOMLIV
15
315
1
14660
3478
R9MOMLIV
12
290
R10MOMLIV
25
326
2
16056
5625
R11MOMLIV
19
259
S7MOMLIV S8MOMLIV S9MOMLIV
15
8
9
602
642
633
1
6777
6417
6205
215
155
186
9236
8606
8027
3284
2640
2157
S10MOMLIV
19
688
2
9089
486
8994
3905
S11MOMLIV
11
727
8849
385
8550
3278
R6DADLIV
28
206
6
16765
1160
R7DADLIV R8DADLIV R9DADLIV
57
46
46
198
178
171
1
17923
16740
15797
1951
1504
1203
R10DADLIV
141
226
3
18873
2791
R11DADLIV
88
152
2
18033
2279
S6DADLIV
17
581
6
6306
102
10207
946
S7DADLIV S8DADLIV S9DADLIV
32
26
30
609
665
672
1
6777
6417
6205
223
152
163
10935
10015
9206
1553
1193
941
S10DADLIV
75
757
2
9089
503
10749
2008
S11DADLIV
48
832
14027
2888
15488
4788
8849
351
10116
1604
How Constructed:
RwMOMAGE and RwDADAGE are assigned respectively to R's mother's and R’s father’s current age if living or
age at death if deceased. SwMOMAGE and SwDADAGE are assigned respectively to R's mother-in-law's and R’s
father-in-law’s current age or age at death.
RwMOMLIV and RwDADLIV flag whether a respondent’s mother and father, respectively, are still alive.
SwMOMLIV and SwDADLIV flag whether a respondent’s mother-in-law and father-in-law, respectively, are
still alive. If the parent is alive, then the derived mortality status is set to 1; if deceased, it is
set to 0.
RwLIVPAR counts a respondent's own living parents and SwLIVPAR counts a respondent's living parents-inlaw. They are derived by summing the RwMOMLIV and RwDADLIV variables. If either RwMOMLIV or RwDADLIV is
missing, then RwLIVPAR is missing.
If the respondent is unmarried, RwMOMAGE, RwDADAGE, SwMOMLIV, SwDADLIV, and RwLIVPAR are assigned .U
missing values. In waves where the spouse did not provide an interview and the respondent only reports
on his/her own parents, they are assigned .V missing values.
For Waves 1 and 2H, the derivations use preprocessed variables that assign parent and in-law information
to respondents. In Waves 3H, 4, and 5, the derivations use household-level data, taking into account
whether the respondent is the Family Respondent or not. If R is the Family Respondent, then parent data
are assigned to the respondent's parent variables and parent-in-law data are assigned to the spouse's
parent variables. If R is not the Family Respondent, then parent-in-law data are assigned to the
respondent's parent variables and parent data are assigned to the respondent's parent-in-law variables.
In Waves 2A and 3A and from Wave 6 forward, parent data are collected from respondents about their own
parents. Information about parents-in-law is assigned from the spouse's report on his/her own parents.
If a parent is reported deceased at an interview and the parent data is missing at a subsequent
interview, the data is carried forward. If the parent data is given at an interview but is missing at a
prior interview, the data is carried back. When carrying data forward or back for in-laws, the spouse
IDs are compared to ensure that the information is for the same spouse.
Cross Wave Differences in Original HRS Data
Information about parent mortality and age is reported in the Family Section at each interview. In Waves
1, 2H, 3H, 4, and 5, the designated Family Respondent answers all questions about parents and parents-in-
Section A: Demographics, Identifiers, and Weights
224
law in a couple household. In Waves 2A and 3A, and from Wave 6 forward, each respondent answers the
questions about his/her own parents.
In Waves 1 and 2H, the raw HRS data provides parent data in separate modules with observations by parent.
In Wave 2H there may be multiple observations per parent. The modules may include information on up to 4
parents per household with the Family Respondent's parents and in-laws. In Waves 2A and 3A, and from Wave
6 forward, the raw data provide parent data in respondent level variables with one observation per
respondent. In Waves 3H, 4 and 5 the raw HRS data provide parent data in household level variables with
one observation per household holding information on up to four parents.
Preprocessing of Wave 1 and 2H data collapses the parent-level observations to each respondent as a set
of 4 variables for each measure pertaining to the R's mother, father, mother-in-law, and father-in-law.
The process takes into account whether R is the Family Respondent or not. For Waves 2A and 3A, and from
Wave 6 forward, each respondent provides information about their own mother and father, regardless of who
the Family Respondent is. Information about parents-in-law is based on the spouse's responses. In Waves
3H, 4, and 5 the assignment of parent data is adjusted to account for R's Family Respondent status.
Concerning RwMOMAGE and RwDADAGE if a parent is living, a question asks how old the parent is. If the
parent is deceased a question asks how old the parent was when he/she died. In Waves 1 and 2H the
question wordings are: "How old is she/he?" and "How old was he/she when he/she died?" In Waves 2A and
3H and from Wave 4 forward, the wording is slightly different: "About how old is she/he?" and "About how
old was he/she when he/she died?" These questions are skipped if preloaded information indicates that R
reported the parent deceased at a previous interview.
Unlike other waves, respondents in Wave 2A who either don't recall, or refuse to answer the question
about their parents' age at death, enter into a sequence of two "bracket" questions ("Was he/she older
than 65?"; and "Was he/she older than 85?"). The pattern of responses to these questions is captured in
four special missing codes (.E = died before 65; .F = died between 65-85; and .G = died after 65+; and .H
= died after age 85+).
Concerning RwMOMLIV, RwDADLIV, and RwLIVPAR in Wave 1, a question asks: "Is [your, your spouse/partner's]
[mother, father] living now?" At subsequent interviews the question is: "Is [your, your
spouse/partner's] [mother, father] still living?" This question is skipped if preloaded information
indicates that R reported that the parent had died at a previous interview.
From Wave 7 forward, the answer is set to "Yes" without asking the question if the parent is a resident
in the respondent’s household.
HRS Variables Used
HRS 1992:
V8203PF
V8203PM
V8203RF
V8203RM
V8205PF
V8205PM
V8205RF
V8205RM
V8209PF
V8209PM
V8209RF
V8209RM
AHEAD 1993:
B565
B566
B572
B573
B575
B576
B577
B583
B584
PARS:ALIVE NOW? /Sp-Prtnr Dad
PARS:ALIVE NOW? /Sp-Prtnr Mom
PARS:ALIVE NOW? /Own Dad
PARS:ALIVE NOW? /Own Mom
PARS:AGE
:IMP /Sp-Prtnr
PARS:AGE
:IMP /Sp-Prtnr
PARS:AGE
:IMP /Own Dad
PARS:AGE
:IMP /Own Mom
PARS:AGE WHEN DIED :IMP /Sp-Prtnr
PARS:AGE WHEN DIED :IMP /Sp-Prtnr
PARS:AGE WHEN DIED :IMP /Own Dad
PARS:AGE WHEN DIED :IMP /Own Mom
D60. MOTHER LIVING
D61a. MOTHER AGE
D61c. MOTHER AGE DIED
D61d. MOTHER AGE DIED DK 65+
D61e. MOTHER AGE DIED DK 85+
D62. FATHER LIVING
D63a. FATHER AGE
D63c. FATHER AGE DIED
D63d. FATHER AGE DIED DK 65+
Dad
Mom
Dad
Mom
Section A: Demographics, Identifiers, and Weights
B586
HRS 1994:
W8201PF
W8201PM
W8201RF
W8201RM
W8202PF
W8202PM
W8202RF
W8202RM
W8206PF
W8206RF
W950
W951
W954
W955
W958
W959
W960
W961
AHEAD 1995:
D1613
D1614
D1617
D1621
D1622
D1629
HRS 1996:
E1557_1
E1557_2
E1557_2A
E1558_1
E1558_2
E1561_1
E1561_2
E1566_1
E1566_2
E1566_2A
E1567_1
E1567_2
E1570_1
E1570_2
E1666_1
E1666_2
HRS 1998:
F1906
F1907
F1911
F1916
F1917
F1921
F2068
F2069
F2073
F2078
F2079
F2083
HRS 2000:
G2122
G2123
G2127
G2132
G2133
D63e. FATHER AGE DIED DK 85+
Parent still living? /P Dad
Parent still living? /P Mom
Parent still living? /R Dad
Parent still living? /R Mom
Parent age /P Dad
Parent age /P Mom
Parent age /R Dad
Parent age /R Mom
Parent age at death /P Dad
Parent age at death /R Dad
E: R Mother Alive Now
E: R Father Alive Now
E: S/P Mother Alive Now
E: S/P Father Alive Now
EE: R Mother Alive Now
EE: R Father Alive Now
EE: S/P Mother Alive Now
EE: S/P Father Alive Now
D90.MOTHER LIVING
D91A.MOTHER AGE
D91D. AGE MOTHER DIED
D92.FATHER LIVING
D93A.FATHER AGE
D93C.FATHER AGE DIED
D90.MOTHER LIVING
D90.MOTHER-IN-LAW LIVING
D90.MOTHER-IN-LAW LIVING-CORRECTED
D91A.MOTHER AGE
D91A.MOTHER-IN-LAW AGE
D92A. AGE MOTHER DIED
D92A. AGE MOTHER-IN-LAW DIED
D93.FATHER LIVING
D93.FATHER-IN-LAW LIVING
D93.FATHER-IN-LAW LIVING-CORRECTED
D94A.FATHER AGE
D94A.FATHER-IN-LAW AGE
D95A.FATHER AGE DIED
D95A.FATHER-IN-LAW AGE DIED
D145_.CKPT PARENTS ALIVE
D145.CKPT PARENTS-IN-LAW ALIVE
D90.MOTHER LIVING
D91A.MOTHER AGE
D92A. AGE MOTHER DIED
D93.FATHER LIVING
D94A.FATHER AGE
D95A.FATHER AGE DIED
D90-2.MOTHER-IN-LAW LIVING
D91A-2.MOTHER-IN-LAW AGE
D92A-2. AGE MOTHER-IN-LAW DIED
D93-2.FATHER-IN-LAW LIVING
D94A-2.FATHER-IN-LAW AGE
D95A-2.FATHER-IN-LAW AGE DIED
D90.MOTHER LIVING
D91A.MOTHER AGE
D92A. AGE MOTHER DIED
D93.FATHER LIVING
D94A.FATHER AGE
225
Section A: Demographics, Identifiers, and Weights
G2137
G2309
G2310
G2314
G2319
G2324
G658
HRS 2002:
HF001
HF002
HF006
HF011
HF012
HF016
HRS 2004:
JF001
JF002
JF006
JF011
JF012
JF016
HRS 2006:
KF001
KF002
KF006
KF011
KF012
KF016
HRS 2008:
LF001
LF002
LF006
LF011
LF012
LF016
HRS 2010:
MF001
MF002
MF006
MF011
MF012
MF016
HRS 2012:
NF001
NF002
NF006
NF011
NF012
NF016
Tracker:
AFAMR
APPN
BPPN
CFAMR
CPPN
DPPN
EFAMR
EPPN
FFAMR
FPPN
GFAMR
GPPN
HPPN
D95A.FATHER AGE DIED
D90-2.MOTHER-IN-LAW LIVING
D91A-2.MOTHER-IN-LAW AGE
D92A-2. AGE MOTHER-IN-LAW DIED
D93-2.FATHER-IN-LAW LIVING
D95A-2.FATHER-IN-LAW AGE DIED
CS15Y63.SAME SPOUSE AS LAST WAVE
MOTHER ALIVE
MOTHERS AGE
AGE MOTHER DIED
FATHER ALIVE
FATHER AGE
AGE FATHER DIED
MOTHER ALIVE
MOTHERS AGE
AGE MOTHER DIED
FATHER ALIVE
FATHER AGE
AGE FATHER DIED
MOTHER ALIVE
MOTHERS AGE
AGE MOTHER DIED
FATHER ALIVE
FATHER AGE
AGE FATHER DIED
MOTHER ALIVE
MOTHERS AGE
AGE MOTHER DIED
FATHER ALIVE
FATHER AGE
AGE FATHER DIED
MOTHER ALIVE
MOTHERS AGE
AGE MOTHER DIED
FATHER ALIVE
FATHER AGE
AGE FATHER DIED
MOTHER ALIVE
MOTHERS AGE
AGE MOTHER DIED
FATHER ALIVE
FATHER AGE
AGE FATHER DIED
1992
1992
1993
1994
1994
1995
1996
1996
1998
1998
2000
2000
2002
WHETHER FAMILY
SPOUSE-PARTNER
SPOUSE-PARTNER
WHETHER FAMILY
SPOUSE-PARTNER
SPOUSE-PARTNER
WHETHER FAMILY
SPOUSE-PARTNER
WHETHER FAMILY
SPOUSE-PARTNER
WHETHER FAMILY
SPOUSE-PARTNER
SPOUSE-PARTNER
RESPONDENT
PERSON NUMBER
PERSON NUMBER
RESPONDENT
PERSON NUMBER
PERSON NUMBER
RESPONDENT
PERSON NUMBER
RESPONDENT
PERSON NUMBER
RESPONDENT
PERSON NUMBER
PERSON NUMBER
226
Section A: Demographics, Identifiers, and Weights
JPPN
KPPN
LPPN
MPPN
NPPN
2004
2006
2008
2010
2012
SPOUSE-PARTNER
SPOUSE-PARTNER
SPOUSE-PARTNER
SPOUSE-PARTNER
SPOUSE-PARTNER
PERSON
PERSON
PERSON
PERSON
PERSON
227
NUMBER
NUMBER
NUMBER
NUMBER
NUMBER
Section B: Health
228
Section B: Health
Section B: Health
229
Self-report of health
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1SHLT
R2SHLT
R3SHLT
R4SHLT
R5SHLT
R6SHLT
R7SHLT
R8SHLT
R9SHLT
R10SHLT
R11SHLT
R1SHLT:W1 Self-report of health
R2SHLT:W2 Self-report of health
R3SHLT:W3 Self-report of health
R4SHLT:W4 Self-report of health
R5SHLT:W5 Self-report of health
R6SHLT:W6 Self-report of health
R7SHLT:W7 Self-report of health
R8SHLT:W8 Self-report of health
R9SHLT:W9 Self-report of health
R10SHLT:W10 Self-report of health
R11SHLT:W11 Self-report of health
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1SHLT
S2SHLT
S3SHLT
S4SHLT
S5SHLT
S6SHLT
S7SHLT
S8SHLT
S9SHLT
S10SHLT
S11SHLT
S1SHLT:W1 Self-report of health
S2SHLT:W2 Self-report of health
S3SHLT:W3 Self-report of health
S4SHLT:W4 Self-report of health
S5SHLT:W5 Self-report of health
S6SHLT:W6 Self-report of health
S7SHLT:W7 Self-report of health
S8SHLT:W8 Self-report of health
S9SHLT:W9 Self-report of health
S10SHLT:W10 Self-report of health
S11SHLT:W11 Self-report of health
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1SHLT
R2SHLT
R3SHLT
R4SHLT
R5SHLT
R6SHLT
R7SHLT
R8SHLT
R9SHLT
R10SHLT
R11SHLT
12652
19632
17984
21378
19571
18154
20112
18444
17203
22023
20533
2.58
2.81
2.79
2.92
2.84
2.88
2.88
2.88
2.94
2.89
2.90
1.21
1.19
1.18
1.18
1.16
1.13
1.14
1.13
1.11
1.11
1.10
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
S1SHLT
S2SHLT
S3SHLT
S4SHLT
S5SHLT
S6SHLT
S7SHLT
S8SHLT
S9SHLT
S10SHLT
S11SHLT
9900
13084
11911
13973
12726
11637
12962
11723
10640
13514
12479
2.51
2.70
2.69
2.82
2.73
2.75
2.77
2.76
2.83
2.78
2.79
1.17
1.16
1.15
1.15
1.13
1.10
1.12
1.11
1.08
1.09
1.08
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
Categorical Variable Codes
Value----------------------|R1SHLT
.D=DK/NA
|
.M=Oth missing
|
R2SHLT
8
R3SHLT
3
2
R4SHLT
6
R5SHLT
7
R6SHLT
8
R7SHLT
13
R8SHLT
23
1
R9SHLT
11
R10SHLT
11
R11SHLT
15
1
Section B: Health
230
.R=RF
1. Excellent
2. Very good
3. Good
4. Fair
5. Poor
|
|2807
|3481
|3544
|1807
|1013
Value----------------------|S1SHLT
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.U=Unmar
|2373
.V=Sp NR
|379
1. Excellent
|2293
2. Very good
|2848
3. Good
|2809
4. Fair
|1287
5. Poor
|663
2
2982
5241
5812
3660
1937
2
2664
5078
5262
3325
1655
S2SHLT
3
1
5970
584
2166
3819
3844
2225
1030
2633
5467
6541
4400
2337
1
2473
5652
5903
3681
1862
3
2049
5080
5739
3616
1670
4
2363
5476
6280
4135
1858
1
2032
5261
5623
3874
1654
3
1550
4881
5514
3625
1633
2190
6394
6898
4652
1889
S3SHLT
2
2
S4SHLT
5
S5SHLT
4
S6SHLT
2
S7SHLT
7
S8SHLT
12
S9SHLT
5
S10SHLT
3
5658
418
1926
3618
3487
1990
890
6869
537
1871
3887
4360
2606
1249
6538
311
1769
3984
3842
2147
984
6306
220
1498
3580
3700
2037
822
3
6777
380
1718
3857
4080
2339
968
6417
317
1502
3627
3612
2144
838
1
6206
365
1076
3276
3516
1978
794
7795
722
1495
4326
4232
2513
948
5
1928
6056
6512
4300
1737
S11SHLT
7
1
3
7473
591
1307
3998
4004
2310
860
How Constructed:
RwSHLT is the respondent's self-reported general health status. Codes range from 1 for Excellent to 5
for Poor. SwSHLT is the respondent's spouse or partner's self-reported general health status.
RwSHLT is assigned the value of the raw variable except that missing values for don't know, refused, and
other missings are recoded to .D, .R, and .M, respectively.
RwSHLT and SwSHLT are used in contruction of a change in health variable RwSHLTC. Please see "Change in
Health" for a description of these measures.
The SwSHLT variables are taken from the Wave 'w' spouse's self-reported RwSHLT variables.
Cross Wave Differences in Original HRS Data
In Wave 1 values for self-reported health status are imputed by HRS if missing.
used. From Wave 2 forward, values are not imputed by HRS.
HRS Variables Used
HRS 1992:
V301
AHEAD 1993:
B204
HRS 1994:
W301
AHEAD 1995:
D769
HRS 1996:
E769
HRS 1998:
F1097
HRS 2000:
G1226
HRS 2002:
HC001
HRS 2004:
JC001
HRS 2006:
KC001
HRS 2008:
LC001
HRS 2010:
MC001
HRS 2012:
NC001
B1:RATE CURRENT HEAL:IMP
B1. RATE HEALTH
B1.RATE CURRENT HEALTH
B1. RATE HEALTH
B1. RATE HEALTH
B1. RATE HEALTH
B1. RATE HEALTH
RATE HEALTH
RATE HEALTH
RATE HEALTH
RATE HEALTH
RATE HEALTH
RATE HEALTH
These imputations are
Section B: Health
231
Self-report of health change
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1HLTC
R2HLTC
R3HLTC
R4HLTC
R5HLTC
R6HLTC
R7HLTC
R8HLTC
R9HLTC
R10HLTC
R11HLTC
R1HLTC:W1 Self-report of health change
R2HLTC:W2 Self-report of health change
R3HLTC:W3 Self-report of health change
R4HLTC:W4 Self-report of health change
R5HLTC:W5 Self-report of health change
R6HLTC:W6 Self-report of health change
R7HLTC:W7 Self-report of health change
R8HLTC:W8 Self-report of health change
R9HLTC:W9 Self-report of health change
R10HLTC:W10 Self-report of health change
R11HLTC:W11 Self-report of health change
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1HLTC
S2HLTC
S3HLTC
S4HLTC
S5HLTC
S6HLTC
S7HLTC
S8HLTC
S9HLTC
S10HLTC
S11HLTC
S1HLTC:W1 Self-report of health change
S2HLTC:W2 Self-report of health change
S3HLTC:W3 Self-report of health change
S4HLTC:W4 Self-report of health change
S5HLTC:W5 Self-report of health change
S6HLTC:W6 Self-report of health change
S7HLTC:W7 Self-report of health change
S8HLTC:W8 Self-report of health change
S9HLTC:W9 Self-report of health change
S10HLTC:W10 Self-report of health change
S11HLTC:W11 Self-report of health change
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
3
4
5
6
7
8
9
10
11
R3HLTCF
R4HLTCF
R5HLTCF
R6HLTCF
R7HLTCF
R8HLTCF
R9HLTCF
R10HLTCF
R11HLTCF
R3HLTCF:W3 Flag self-report of hlth chg
R4HLTCF:W4 Flag self-report of hlth chg
R5HLTCF:W5 Flag self-report of hlth chg
R6HLTCF:W6 Flag self-report of hlth chg
R7HLTCF:W7 Flag self-report of hlth chg
R8HLTCF:W8 Flag self-report of hlth chg
R9HLTCF:W9 Flag self-report of hlth chg
R10HLTCF:W10 Flag self-report of hlth chg
R11HLTCF:W11 Flag self-report of hlth chg
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
3
4
5
6
7
8
9
10
11
S3HLTCF
S4HLTCF
S5HLTCF
S6HLTCF
S7HLTCF
S8HLTCF
S9HLTCF
S10HLTCF
S11HLTCF
S3HLTCF:W3 Flag self-report of hlth chg
S4HLTCF:W4 Flag self-report of hlth chg
S5HLTCF:W5 Flag self-report of hlth chg
S6HLTCF:W6 Flag self-report of hlth chg
S7HLTCF:W7 Flag self-report of hlth chg
S8HLTCF:W8 Flag self-report of hlth chg
S9HLTCF:W9 Flag self-report of hlth chg
S10HLTCF:W10 Flag self-report of hlth chg
S11HLTCF:W11 Flag self-report of hlth chg
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
R1HLTC
R2HLTC
R3HLTC
R4HLTC
R5HLTC
R6HLTC
R7HLTC
R8HLTC
R9HLTC
N
12651
19631
17786
16284
19300
17920
16642
18236
17053
Mean
2.94
3.10
3.16
3.23
3.19
3.22
3.19
3.17
3.18
Std Dev
0.73
0.94
0.81
0.83
0.80
0.80
0.59
0.59
0.59
Minimum
1.0
1.0
1.0
1.0
1.0
1.0
2.0
2.0
2.0
Maximum
5.0
5.0
5.0
5.0
5.0
5.0
4.0
4.0
4.0
Section B: Health
232
R10HLTC
R11HLTC
15564
20002
3.18
3.12
0.59
0.59
2.0
2.0
4.0
4.0
S1HLTC
S2HLTC
S3HLTC
S4HLTC
S5HLTC
S6HLTC
S7HLTC
S8HLTC
S9HLTC
S10HLTC
S11HLTC
9899
13080
11735
10469
12476
11416
10477
11525
10496
9400
12026
2.92
3.07
3.13
3.19
3.16
3.17
3.16
3.14
3.15
3.16
3.10
0.70
0.86
0.78
0.79
0.77
0.76
0.58
0.57
0.57
0.58
0.58
1.0
1.0
1.0
1.0
1.0
1.0
2.0
2.0
2.0
2.0
2.0
5.0
5.0
5.0
5.0
5.0
5.0
4.0
4.0
4.0
4.0
4.0
R3HLTCF
R4HLTCF
R5HLTCF
R6HLTCF
R7HLTCF
R8HLTCF
R9HLTCF
R10HLTCF
R11HLTCF
17991
21384
19579
18165
20129
18469
17217
22034
20554
0.10
2.15
0.13
0.12
2.20
0.86
0.83
3.18
0.96
0.96
3.84
1.07
1.04
3.24
1.33
1.25
3.84
1.64
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S3HLTCF
S4HLTCF
S5HLTCF
S6HLTCF
S7HLTCF
S8HLTCF
S9HLTCF
S10HLTCF
S11HLTCF
11915
13978
12730
11639
12972
11735
10646
13517
12490
0.14
2.26
0.18
0.17
2.31
0.85
0.81
3.24
1.00
1.10
3.90
1.26
1.23
3.38
1.45
1.36
3.89
1.83
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
Categorical Variable Codes
Value----------------------|R1HLTC
.D=DK/NA
|
.M=Oth missing
|1
.P=No prv IW
|
.R=RF
|
1. Much better
|714
2. Somewhat better
|1276
3. Same
|9072
4. Somewhat worse
|1248
5. Much worse
|341
R2HLTC
7
R6HLTC
12
6
226
1
686
905
11343
3715
1271
R7HLTC
10
5
3471
1
R8HLTC
16
7
207
3
R9HLTC
20
642
895
10169
3281
1297
R5HLTC
8
5
265
1
802
1060
12438
3718
1282
1675
10195
4772
Value----------------------|S1HLTC
.D=DK/NA
|
.M=Oth missing
|1
.P=No prv IW
|
.R=RF
|
.U=Unmar
|2373
.V=Sp NR
|379
1. Much better
|544
2. Somewhat better
|1011
3. Same
|7234
4. Somewhat worse
|895
5. Much worse
|215
S2HLTC
5
S3HLTC
1
2
175
2
5658
418
524
713
7900
1955
643
S4HLTC
3
3
3503
S5HLTC
3
4
247
6869
537
411
576
6831
1966
685
6538
311
517
677
8301
2312
669
S6HLTC
7
6
209
1
6306
220
441
585
7579
2199
612
Value----------------------|
0.No missing
|
1.F1=.,filled frm F2
|
2.F2=.,set to somewhat
|
9.Both missing
|
R3HLTCF
17776
1
9
205
R4HLTCF
16278
R5HLTCF
19288
6
5100
Value----------------------|
.U=Unmar
|
S3HLTCF
5658
S4HLTCF
6869
4
1558
1008
13236
1634
2195
3
5970
584
870
765
9176
1172
1097
R3HLTC
4
2
196
3
824
1040
11620
3120
1182
R4HLTC
7
3
5090
143
1
R10HLTC
16
11
6439
4
R11HLTC
27
187
333
5
1887
11364
4985
1712
10640
4701
1540
9611
4413
2424
12658
4920
S7HLTC
5
5
2484
1
6777
380
S8HLTC
5
6
198
1
6417
317
S9HLTC
10
139
1
6206
365
S10HLTC
3
11
4100
3
7795
722
S11HLTC
11
137
315
1
7473
591
1043
6707
2727
1197
7500
2828
1051
6861
2584
940
6008
2452
1448
7879
2699
R6HLTCF
17909
R7HLTCF
10195
R8HLTCF
11364
R9HLTCF
10640
R10HLTCF
9611
R11HLTCF
12658
12
279
11
245
6447
3487
6872
233
6413
164
5953
6470
7344
552
S5HLTCF
6538
S6HLTCF
6306
S7HLTCF
6777
S8HLTCF
6417
S9HLTCF
6206
S10HLTCF
7795
S11HLTCF
7473
Section B: Health
233
.V=Sp NR
0.No missing
1.F1=.,filled frm F2
2.F2=.,set to somewhat
9.Both missing
|
|
|
|
|
418
11733
1
1
180
537
10468
311
12469
220
11409
380
6707
317
7500
365
6861
722
6008
591
7879
1
3509
7
254
7
223
3770
2495
4025
210
3635
150
3392
4117
4147
464
How Constructed:
RwHLTC is the respondent's self-reported change in health since the last interview or in the last two
years. SwHLTC is the respondent's spouse or partner's self-reported change in health.
In Waves 1 and 2 RwHLTC is derived directly from the raw variables, with missing values recoded. For
subsequent waves the question is asked in two parts, one for whether the respondent's health is better or
worse, and a follow-up question reveals how much better or worse. The derivation combines the lead-in
and follow-up questions to arrive at the same 5-point scale used in the single Wave 1 and 2 questions. A
few cases are missing values for one of the questions. If the follow-up question is not missing, its
answer is used. If the lead-in question is answered but the follow-up is missing, 'somewhat' was assumed
and these cases are flagged in the RwHLTCF and SwHLTCF variables. Most cases that answer both questions
give 'somewhat' as the follow-up answer. From Wave 7 forward, the follow-up questions have been dropped,
and R is asked only if health is better, about the same or worse since the last interview.
Please see also the calculated change in self-reported health variable (RwSHLTC) described later in this
section. Note that RwHLTC asks the respondent to assess retrospectively how his/her health has changed
since the last interview while RwSHLTC compares measures of self-reported current health from the two
time points.
The SwHLTC variables are taken from the Wave 'w' spouse's self-reported RwHLTC variables.
Cross Wave Differences in Original HRS Data
In Wave 1, the question asks R to compare his/her health to that of 1 year ago. The question asks R to
rate change in health into 5 categories: much better, somewhat better, about the same, somewhat worse and
much worse.
In Wave 2H, the question asks R to compare his/her health to that of 2 years ago or Wave 1 interview.
The question uses the same 5-category ratings as Wave 1. The question is skipped for interviews by proxy
for deceased respondents.
In Wave 2A, the question asks R to compare his/her health to that of 1 years ago. The question uses 3category ratings: better, about the same and worse.
The question is asked for all respondents.
From Wave 3 forward, the question is only asked of those who had a prior interview and asks R to compare
his/her health to that at the last interview. It is asked in two parts. The first question asks R if
health is better, about the same or worse since the last interview. If R responds better, a followup
question asks whether it is much better or somewhat better. Similarly if R responds worse, the follow-up
asks whether it is much worse or somewhat worse.
From Wave 7 forward, the follow-up questions have been dropped, and R is asked only if health is better,
about the same or worse since the last interview.
HRS Variables Used
HRS 1992:
V302
AHEAD 1993:
B208
HRS 1994:
W302
AHEAD 1995:
D772
D776
B2:HEALTH:NOW, 1 YR :IMP
B2. RATE HEALTH PAST
B2.HEALTH NOW VERSUS 2 Y
B1A.RATE HEALTH PAST
B1B.RATE BETTER
Section B: Health
D777
HRS 1996:
E772
E776
E777
HRS 1998:
F1100
F1104
F1105
HRS 2000:
G1229
G1233
G1234
HRS 2002:
HC002
HC003
HC004
HRS 2004:
JC002
HRS 2006:
KC002
HRS 2008:
LC002
HRS 2010:
MC002
HRS 2012:
NC002
234
B1C.RATE WORSE
B1A.RATE HEALTH PAST
B1B.RATE BETTER
B1C.RATE WORSE
B1A.RATE HEALTH PAST
B1B.RATE BETTER
B1C.RATE WORSE
B1A.RATE HEALTH PAST
B1B.RATE BETTER
B1C.RATE WORSE
COMPARE HEALTH TO PREVIOUS WAVE
HEALTH BETTER-DEGREE
HEALTH WORSE-DEGREE
COMPARE HEALTH TO PREVIOUS WAVE
COMPARE HEALTH TO PREVIOUS WAVE
COMPARE HEALTH TO PREVIOUS WAVE
COMPARE HEALTH TO PREVIOUS WAVE
COMPARE HEALTH TO PREVIOUS WAVE
Section B: Health
235
Medical care utilization: Hospital
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1HOSP
R2HOSP
R3HOSP
R4HOSP
R5HOSP
R6HOSP
R7HOSP
R8HOSP
R9HOSP
R10HOSP
R11HOSP
R1HOSP:W1 Hospital stay, prv 12 mos
R2HOSP:W2 Hospital stay, prv 2 yrs
R3HOSP:W3 Hospital stay, prv 2 yrs
R4HOSP:W4 Hospital stay, prv 2 yrs
R5HOSP:W5 Hospital stay, prv 2 yrs
R6HOSP:W6 Hospital stay, prv 2 yrs
R7HOSP:W7 Hospital stay, prv 2 yrs
R8HOSP:W8 Hospital stay, prv 2 yrs
R9HOSP:W9 Hospital stay, prv 2 yrs
R10HOSP:W10 Hospital stay, prv 2 yrs
R11HOSP:W11 Hospital stay, prv 2 yrs
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1HOSP
S2HOSP
S3HOSP
S4HOSP
S5HOSP
S6HOSP
S7HOSP
S8HOSP
S9HOSP
S10HOSP
S11HOSP
S1HOSP:W1 Hospital stay, prv 12 mos
S2HOSP:W2 Hospital stay, prv 2 yrs
S3HOSP:W3 Hospital stay, prv 2 yrs
S4HOSP:W4 Hospital stay, prv 2 yrs
S5HOSP:W5 Hospital stay, prv 2 yrs
S6HOSP:W6 Hospital stay, prv 2 yrs
S7HOSP:W7 Hospital stay, prv 2 yrs
S8HOSP:W8 Hospital stay, prv 2 yrs
S9HOSP:W9 Hospital stay, prv 2 yrs
S10HOSP:W10 Hospital stay, prv 2 yrs
S11HOSP:W11 Hospital stay, prv 2 yrs
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
R1HSPTIM
R2HSPTIM
R3HSPTIM
R4HSPTIM
R5HSPTIM
R6HSPTIM
R7HSPTIM
R8HSPTIM
R9HSPTIM
R10HSPTIM
R11HSPTIM
R1HSPTIM:W1 #
R2HSPTIM:W2 #
R3HSPTIM:W3 #
R4HSPTIM:W4 #
R5HSPTIM:W5 #
R6HSPTIM:W6 #
R7HSPTIM:W7 #
R8HSPTIM:W8 #
R9HSPTIM:W9 #
R10HSPTIM:W10
R11HSPTIM:W11
Hospitl stys, prv 12 mos
Hospital stays, prv 2 yrs
Hospital stays, prv 2 yrs
Hospital stays, prv 2 yrs
Hospital stays, prv 2 yrs
Hospital stays, prv 2 yrs
Hospital stays, prv 2 yrs
Hospital stays, prv 2 yrs
Hospital stays, prv 2 yrs
# Hospital stays, prv 2 yrs
# Hospital stays, prv 2 yrs
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1HSPTIM
S2HSPTIM
S3HSPTIM
S4HSPTIM
S5HSPTIM
S6HSPTIM
S7HSPTIM
S8HSPTIM
S9HSPTIM
S10HSPTIM
S11HSPTIM
S1HSPTIM:W1 #
S2HSPTIM:W2 #
S3HSPTIM:W3 #
S4HSPTIM:W4 #
S5HSPTIM:W5 #
S6HSPTIM:W6 #
S7HSPTIM:W7 #
S8HSPTIM:W8 #
S9HSPTIM:W9 #
S10HSPTIM:W10
S11HSPTIM:W11
Hospitl stys, prv 12 mos
Hospital stays, prv 2 yrs
Hospital stays, prv 2 yrs
Hospital stays, prv 2 yrs
Hospital stays, prv 2 yrs
Hospital stays, prv 2 yrs
Hospital stays, prv 2 yrs
Hospital stays, prv 2 yrs
Hospital stays, prv 2 yrs
# Hospital stays, prv 2 yrs
# Hospital stays, prv 2 yrs
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
R1HSPNIT
R2HSPNIT
R3HSPNIT
R4HSPNIT
R5HSPNIT
R6HSPNIT
R7HSPNIT
R8HSPNIT
R9HSPNIT
R1HSPNIT:W1
R2HSPNIT:W2
R3HSPNIT:W3
R4HSPNIT:W4
R5HSPNIT:W5
R6HSPNIT:W6
R7HSPNIT:W7
R8HSPNIT:W8
R9HSPNIT:W9
Hospitl nghts, prv 12
Nights in hosp, prv 2
Nights in hosp, prv 2
Nights in hosp, prv 2
Nights in hosp, prv 2
Nights in hosp, prv 2
Nights in hosp, prv 2
Nights in hosp, prv 2
Nights in hosp, prv 2
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
#
#
#
#
#
#
#
#
#
mos
yrs
yrs
yrs
yrs
yrs
yrs
yrs
yrs
Section B: Health
236
10
11
R10HSPNIT
R11HSPNIT
R10HSPNIT:W10 # Nights in hosp, prv 2 yrs
R11HSPNIT:W11 # Nights in hosp, prv 2 yrs
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1HSPNIT
S2HSPNIT
S3HSPNIT
S4HSPNIT
S5HSPNIT
S6HSPNIT
S7HSPNIT
S8HSPNIT
S9HSPNIT
S10HSPNIT
S11HSPNIT
S1HSPNIT:W1 #
S2HSPNIT:W2 #
S3HSPNIT:W3 #
S4HSPNIT:W4 #
S5HSPNIT:W5 #
S6HSPNIT:W6 #
S7HSPNIT:W7 #
S8HSPNIT:W8 #
S9HSPNIT:W9 #
S10HSPNIT:W10
S11HSPNIT:W11
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Hospitl nghts, prv 12
Nights in hosp, prv 2
Nights in hosp, prv 2
Nights in hosp, prv 2
Nights in hosp, prv 2
Nights in hosp, prv 2
Nights in hosp, prv 2
Nights in hosp, prv 2
Nights in hosp, prv 2
# Nights in hosp, prv
# Nights in hosp, prv
mos
yrs
yrs
yrs
yrs
yrs
yrs
yrs
yrs
2 yrs
2 yrs
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1HOSP
R2HOSP
R3HOSP
R4HOSP
R5HOSP
R6HOSP
R7HOSP
R8HOSP
R9HOSP
R10HOSP
R11HOSP
12640
19807
17945
21345
19541
18121
20066
18431
17166
21725
20456
0.11
0.20
0.25
0.26
0.26
0.28
0.26
0.27
0.28
0.28
0.26
0.32
0.40
0.43
0.44
0.44
0.45
0.44
0.45
0.45
0.45
0.44
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S1HOSP
S2HOSP
S3HOSP
S4HOSP
S5HOSP
S6HOSP
S7HOSP
S8HOSP
S9HOSP
S10HOSP
S11HOSP
9891
13281
11898
13970
12716
11624
12953
11727
10629
13339
12458
0.11
0.18
0.22
0.24
0.23
0.25
0.23
0.25
0.26
0.25
0.23
0.31
0.39
0.42
0.43
0.42
0.43
0.42
0.43
0.44
0.44
0.42
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R1HSPTIM
R2HSPTIM
R3HSPTIM
R4HSPTIM
R5HSPTIM
R6HSPTIM
R7HSPTIM
R8HSPTIM
R9HSPTIM
R10HSPTIM
R11HSPTIM
12634
19795
17925
21321
19522
18077
20021
18384
17127
21675
20396
0.19
0.37
0.45
0.48
0.45
0.49
0.47
0.48
0.51
0.56
0.49
0.96
1.68
1.27
1.29
1.45
1.27
1.34
1.13
1.24
1.63
1.30
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
60.0
99.0
75.0
51.0
120.0
60.0
60.0
25.0
50.0
75.0
33.0
S1HSPTIM
S2HSPTIM
S3HSPTIM
S4HSPTIM
S5HSPTIM
S6HSPTIM
S7HSPTIM
S8HSPTIM
9888
13078
11890
13958
12710
11604
12934
11711
0.17
0.32
0.38
0.42
0.39
0.43
0.40
0.43
0.66
1.45
1.07
1.18
1.50
1.26
1.05
1.07
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
21.0
96.0
50.0
51.0
120.0
60.0
30.0
25.0
Section B: Health
237
S9HSPTIM
S10HSPTIM
S11HSPTIM
10615
13318
12428
0.44
0.49
0.43
1.21
1.48
1.21
0.0
0.0
0.0
50.0
75.0
30.0
R1HSPNIT
R2HSPNIT
R3HSPNIT
R4HSPNIT
R5HSPNIT
R6HSPNIT
R7HSPNIT
R8HSPNIT
R9HSPNIT
R10HSPNIT
R11HSPNIT
12626
19645
17865
21261
19466
17998
19957
18325
17047
21590
20318
1.22
2.14
2.61
2.60
2.41
2.65
2.45
2.57
2.43
2.42
2.15
7.36
10.39
10.64
12.18
10.86
12.19
11.46
12.31
10.60
10.06
9.70
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
182.0
350.0
520.0
970.0
730.0
730.0
712.0
614.0
609.0
400.0
450.0
S1HSPNIT
S2HSPNIT
S3HSPNIT
S4HSPNIT
S5HSPNIT
S6HSPNIT
S7HSPNIT
S8HSPNIT
S9HSPNIT
S10HSPNIT
S11HSPNIT
9881
13065
11869
13939
12691
11568
12913
11684
10591
13288
12402
1.06
1.85
2.02
2.15
1.92
2.06
1.98
2.07
2.08
2.07
1.83
6.50
9.32
9.25
12.08
10.73
7.53
9.94
10.02
10.33
9.42
8.47
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
182.0
300.0
520.0
970.0
730.0
152.0
712.0
500.0
609.0
365.0
393.0
Categorical Variable Codes
Value----------------------|R1HOSP
.D=DK/NA
|3
.M=Oth missing
|9
.R=RF
|
0.no
|11197
1.yes
|1443
R2HOSP
8
1
1
15830
3977
R3HOSP
13
30
3
13462
4483
R4HOSP
16
20
3
15720
5625
R5HOSP
15
20
3
14513
5028
R6HOSP
23
15
6
13108
5013
R7HOSP
34
21
8
14803
5263
R8HOSP
18
16
4
13371
5060
R9HOSP
29
17
5
12306
4860
R10HOSP
33
262
14
15620
6105
R11HOSP
29
64
5
15235
5221
Value----------------------|S1HOSP
.D=DK/NA
|2
.M=Oth missing
|7
.R=RF
|
.U=Unmar
|2373
.V=Sp NR
|379
0.no
|8817
1.yes
|1074
S2HOSP
5
1
1
5970
384
10829
2452
S3HOSP
6
10
1
5658
418
9244
2654
S4HOSP
2
6
S5HOSP
8
5
1
6538
311
9800
2916
S6HOSP
6
5
4
6306
220
8754
2870
S7HOSP
9
4
6
6777
380
9911
3042
S8HOSP
4
3
1
6417
317
8808
2919
S9HOSP
10
4
3
6206
365
7914
2715
S10HOSP
19
149
10
7795
722
9944
3395
S11HOSP
12
19
1
7473
591
9553
2905
6869
537
10616
3354
How Constructed:
RwHOSP indicates whether the respondent reports any overnight hospital stay in the reference period. In
Wave 1 and 2A, the reference period is 12 months; in other waves it is the period since the last
interview, or the last 2 years for new interviewees. If the respondent reports any overnight hospital
stay, RwHSPTIM is the reported number of stays and RwHSPNIT is the reported number of nights over all
stays. If the previous interview was more than two years ago, it is possible for RwHSPNIT to exceed 720
(365 x 2 years; 365 x 4 years; etc.). These high values can be checked against the INW variables, which
indicate whether R was present for the wave in question.
SwHOSP, SwHSPTIM, and SwHSPNIT give this information for the respondent's spouse or partner.
Medical care utilization variables are recoded for missing values. In Wave 1, the medical utilization
variables are imputed in the original HRS data. Imputed values are recoded to missing. RwHOSP is recoded
as a yes/no indicator. If the respondent did not report any hospital stay, then RwHSPTIM and RwHSPNIT are
set to zero.
In Wave 2A, questions about hospital utilization were asked of the financial respondent (FinR) for both
in a couple. In addition, the question about any overnight hospital stay was asked of all individual
Section B: Health
238
respondents. When both levels of information are available, the FinR's HH-level information may not
agree with the information given by individual respondents in all cases. If there is any disagreement,
the respondent's own report is used. Where necessary and possible, we use HH level data to fill missing
spouse/partners' information.
In Wave 2A, the S2HOSP is taken from spouses' or HH-level response. For all other waves, the spouse
variables are taken from the Wave 'w' spouse's self-reported information, e.g., S3HOSP is taken from the
Wave 3 spouse's R3HOSP variable.
Cross Wave Differences in Original HRS Data
The questions about medical service utilization vary across waves. Wave 1 and 2A questions ask about the
last 12 months, while questions in subsequent waves ask about the period since the previous interview or
the last 2 years.
In Wave 1, questions ask about hospital and nursing home stays, doctor visits, and home health care.
Wave 2H, questions are added that ask about prescription drugs. In Wave 2A and from Wave 3 forward,
questions are added that ask about outpatient surgery, dentist, and special facilities or services.
In
In Wave 2A, the Financial respondent was asked the medical utilization and expenditure questions, which
differs from all other waves. Questions asked only of the FinR yield HH-level data, and those asked of
all respondents yield respondent-level data. Note that when both levels are available the FinR's HHlevel information may not agree with the information given by individual respondents in all cases. If
there is any disagreement, the respondent's own report is used. Where necessary and possible for
utilization variables, we use HH level data to fill missing spouse/partners' information.
For hospital stays, the questions ask if the respondent was a patient overnight, how many times, and how
many nights altogether. In Wave 2A and from Wave 3 on, the question wording refers to "how many different
times", instead of "how many times".
HRS Variables Used
HRS 1992:
V10533
V533
V534
V535
AHEAD 1993:
B605R
B606
B607
HRS 1994:
W410
W411
W412
AHEAD 1995:
D1664
D1665
D1666
HRS 1996:
E1770
E1771
E1772
HRS 1998:
F2295
F2296
F2297
HRS 2000:
G2567
G2568
G2569
HRS 2002:
B45:PST YR:HOSP OVRN:IND
B45:PST YR:HOSP OVRN:IMP
B45A:PST YR:TIMES HO:IMP
B45B:PST YR:#NIGHTS :IMP
E1. R IN HOSPITAL LAST 12 MOS
E2. # TIMES R IN HOSPITAL LAST 12 MOS
E3. # NIGHTS IN HOSPITAL LAST 12 MOS
B29.HOSPITAL OVERNIGHT
B29a.TIMES IN HOSPITAL O
B29b.NUMBER OF NIGHTS IN
E1. HOSPITAL
E2. HOSPITAL TIMES
E3. HOSP-1 #NIGHTS
E1. HOSPITAL-YR
E2. HOSPITAL TIMES
E3. HOSP-1 #NIGHTS
E1. HOSPITAL-YR
E2. HOSPITAL TIMES
E3. HOSP-1 #NIGHTS
E1. HOSPITAL-YR
E2. HOSPITAL TIMES
E3. HOSP-1 #NIGHTS
Section B: Health
HRS
HRS
HRS
HRS
HRS
HN099
HN100
HN101
2004:
JN099
JN100
JN101
2006:
KN099
KN100
KN101
2008:
LN099
LN100
LN101
2010:
MN099
MN100
MN101
2012:
NN099
NN100
NN101
239
OVERNIGHT STAY IN HOSP-SINCE PREV IW/2YR
NUM TIMES R STAYED OVERNIGHT IN HOSP
NUM NIGHTS R SPENT OVERNIGHT IN HOSPITAL
OVERNIGHT STAY IN HOSP-SINCE PREV IW/2YR
NUM TIMES R STAYED OVERNIGHT IN HOSP
NUM NIGHTS R SPENT OVERNIGHT IN HOSPITAL
OVERNIGHT STAY IN HOSP-SINCE PREV IW/2YR
NUM TIMES R STAYED OVERNIGHT IN HOSP
NUM NIGHTS R SPENT OVERNIGHT IN HOSPITAL
OVERNIGHT STAY IN HOSP-SINCE PREV IW/2YR
NUM TIMES R STAYED OVERNIGHT IN HOSP
NUM NIGHTS R SPENT OVERNIGHT IN HOSPITAL
OVERNIGHT STAY IN HOSP-SINCE PREV IW/2YR
NUM TIMES R STAYED OVERNIGHT IN HOSP
NUM NIGHTS R SPENT OVERNIGHT IN HOSPITAL
OVERNIGHT STAY IN HOSP-SINCE PREV IW/2YR
NUM TIMES R STAYED OVERNIGHT IN HOSP
NUM NIGHTS R SPENT OVERNIGHT IN HOSPITAL
Section B: Health
240
Medical care utilization: Nursing Home
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1NRSHOM
R2NRSHOM
R3NRSHOM
R4NRSHOM
R5NRSHOM
R6NRSHOM
R7NRSHOM
R8NRSHOM
R9NRSHOM
R10NRSHOM
R11NRSHOM
R1NRSHOM:W1 Nurs home stay, prv 12 mos
R2NRSHOM:W2 Nurs home stay, prv 2 yrs
R3NRSHOM:W3 Nurs home stay, prv 2 yrs
R4NRSHOM:W4 Nurs home stay, prv 2 yrs
R5NRSHOM:W5 Nurs home stay, prv 2 yrs
R6NRSHOM:W6 Nurs home stay, prv 2 yrs
R7NRSHOM:W7 Nurs home stay, prv 2 yrs
R8NRSHOM:W8 Nurs home stay, prv 2 yrs
R9NRSHOM:W9 Nurs home stay, prv 2 yrs
R10NRSHOM:W10 Nurs home stay, prv 2 yrs
R11NRSHOM:W11 Nurs home stay, prv 2 yrs
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1NRSHOM
S2NRSHOM
S3NRSHOM
S4NRSHOM
S5NRSHOM
S6NRSHOM
S7NRSHOM
S8NRSHOM
S9NRSHOM
S10NRSHOM
S11NRSHOM
S1NRSHOM:W1 Nurs home stay, prv 12 mos
S2NRSHOM:W2 Nurs home stay, prv 2 yrs
S3NRSHOM:W3 Nurs home stay, prv 2 yrs
S4NRSHOM:W4 Nurs home stay, prv 2 yrs
S5NRSHOM:W5 Nurs home stay, prv 2 yrs
S6NRSHOM:W6 Nurs home stay, prv 2 yrs
S7NRSHOM:W7 Nurs home stay, prv 2 yrs
S8NRSHOM:W8 Nurs home stay, prv 2 yrs
S9NRSHOM:W9 Nurs home stay, prv 2 yrs
S10NRSHOM:W10 Nurs home stay, prv 2 yrs
S11NRSHOM:W11 Nurs home stay, prv 2 yrs
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
R1NRSTIM
R2NRSTIM
R3NRSTIM
R4NRSTIM
R5NRSTIM
R6NRSTIM
R7NRSTIM
R8NRSTIM
R9NRSTIM
R10NRSTIM
R11NRSTIM
R1NRSTIM:W1 #
R2NRSTIM:W2 #
R3NRSTIM:W3 #
R4NRSTIM:W4 #
R5NRSTIM:W5 #
R6NRSTIM:W6 #
R7NRSTIM:W7 #
R8NRSTIM:W8 #
R9NRSTIM:W9 #
R10NRSTIM:W10
R11NRSTIM:W11
Nrs home stys, prv 12 mos
Nurs home stays, prv 2 yrs
Nurs home stays, prv 2 yrs
Nurs home stays, prv 2 yrs
Nurs home stays, prv 2 yrs
Nurs home stays, prv 2 yrs
Nurs home stays, prv 2 yrs
Nurs home stays, prv 2 yrs
Nurs home stays, prv 2 yrs
# Nurs home stays, prv 2 yrs
# Nurs home stays, prv 2 yrs
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1NRSTIM
S2NRSTIM
S3NRSTIM
S4NRSTIM
S5NRSTIM
S6NRSTIM
S7NRSTIM
S8NRSTIM
S9NRSTIM
S10NRSTIM
S11NRSTIM
S1NRSTIM:W1 #
S2NRSTIM:W2 #
S3NRSTIM:W3 #
S4NRSTIM:W4 #
S5NRSTIM:W5 #
S6NRSTIM:W6 #
S7NRSTIM:W7 #
S8NRSTIM:W8 #
S9NRSTIM:W9 #
S10NRSTIM:W10
S11NRSTIM:W11
Nrs home stys, prv 12 mos
Nurs home stays, prv 2 yrs
Nurs home stays, prv 2 yrs
Nurs home stays, prv 2 yrs
Nurs home stays, prv 2 yrs
Nurs home stays, prv 2 yrs
Nurs home stays, prv 2 yrs
Nurs home stays, prv 2 yrs
Nurs home stays, prv 2 yrs
# Nurs home stays, prv 2 yrs
# Nurs home stays, prv 2 yrs
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
R1NRSNIT
R2NRSNIT
R3NRSNIT
R4NRSNIT
R5NRSNIT
R6NRSNIT
R7NRSNIT
R8NRSNIT
R9NRSNIT
R1NRSNIT:W1
R2NRSNIT:W2
R3NRSNIT:W3
R4NRSNIT:W4
R5NRSNIT:W5
R6NRSNIT:W6
R7NRSNIT:W7
R8NRSNIT:W8
R9NRSNIT:W9
Nrs home nghts, prv 12 mos
Nights in nurs home, prv 2
Nights in nurs home, prv 2
Nights in nurs home, prv 2
Nights in nurs home, prv 2
Nights in nurs home, prv 2
Nights in nurs home, prv 2
Nights in nurs home, prv 2
Nights in nurs home, prv 2
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
#
#
#
#
#
#
#
#
#
yrs
yrs
yrs
yrs
yrs
yrs
yrs
yrs
Section B: Health
241
10
11
R10NRSNIT
R11NRSNIT
R10NRSNIT:W10 # Nights in nurs home, prv 2 yrs
R11NRSNIT:W11 # Nights in nurs home, prv 2 yrs
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1NRSNIT
S2NRSNIT
S3NRSNIT
S4NRSNIT
S5NRSNIT
S6NRSNIT
S7NRSNIT
S8NRSNIT
S9NRSNIT
S10NRSNIT
S11NRSNIT
S1NRSNIT:W1 #
S2NRSNIT:W2 #
S3NRSNIT:W3 #
S4NRSNIT:W4 #
S5NRSNIT:W5 #
S6NRSNIT:W6 #
S7NRSNIT:W7 #
S8NRSNIT:W8 #
S9NRSNIT:W9 #
S10NRSNIT:W10
S11NRSNIT:W11
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
3
4
5
6
7
8
9
10
11
R3NHMLIV
R4NHMLIV
R5NHMLIV
R6NHMLIV
R7NHMLIV
R8NHMLIV
R9NHMLIV
R10NHMLIV
R11NHMLIV
R3NHMLIV:W3 Live in Nurs home at Iview
R4NHMLIV:W4 Live in Nurs home at Iview
R5NHMLIV:W5 Live in Nurs home at Iview
R6NHMLIV:W6 Live in Nurs home at Iview
R7NHMLIV:W7 Live in Nurs home at Iview
R8NHMLIV:W8 Live in Nurs home at Iview
R9NHMLIV:W9 Live in Nurs home at Iview
R10NHMLIV:W10 Live in Nurs home at Iview
R11NHMLIV:W11 Live in Nurs home at Iview
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
3
4
5
6
7
8
9
10
11
S3NHMLIV
S4NHMLIV
S5NHMLIV
S6NHMLIV
S7NHMLIV
S8NHMLIV
S9NHMLIV
S10NHMLIV
S11NHMLIV
S3NHMLIV:W3 Live in Nurs home at Iview
S4NHMLIV:W4 Live in Nurs home at Iview
S5NHMLIV:W5 Live in Nurs home at Iview
S6NHMLIV:W6 Live in Nurs home at Iview
S7NHMLIV:W7 Live in Nurs home at Iview
S8NHMLIV:W8 Live in Nurs home at Iview
S9NHMLIV:W9 Live in Nurs home at Iview
S10NHMLIV:W10 Live in Nurs home at Iview
S11NHMLIV:W11 Live in Nurs home at Iview
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
3
4
5
6
7
8
9
10
11
R3NHMMVY
R4NHMMVY
R5NHMMVY
R6NHMMVY
R7NHMMVY
R8NHMMVY
R9NHMMVY
R10NHMMVY
R11NHMMVY
R3NHMMVY:W3 Year moved to Nurs home
R4NHMMVY:W4 Year moved to Nurs home
R5NHMMVY:W5 Year moved to Nurs home
R6NHMMVY:W6 Year moved to Nurs home
R7NHMMVY:W7 Year moved to Nurs home
R8NHMMVY:W8 Year moved to Nurs home
R9NHMMVY:W9 Year moved to Nurs home
R10NHMMVY:W10 Year moved to Nurs home
R11NHMMVY:W11 Year moved to Nurs home
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
3
4
5
6
7
8
9
10
11
S3NHMMVY
S4NHMMVY
S5NHMMVY
S6NHMMVY
S7NHMMVY
S8NHMMVY
S9NHMMVY
S10NHMMVY
S11NHMMVY
S3NHMMVY:W3 Year moved to Nurs home
S4NHMMVY:W4 Year moved to Nurs home
S5NHMMVY:W5 Year moved to Nurs home
S6NHMMVY:W6 Year moved to Nurs home
S7NHMMVY:W7 Year moved to Nurs home
S8NHMMVY:W8 Year moved to Nurs home
S9NHMMVY:W9 Year moved to Nurs home
S10NHMMVY:W10 Year moved to Nurs home
S11NHMMVY:W11 Year moved to Nurs home
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
3
4
5
6
7
8
9
10
R3NHMMVM
R4NHMMVM
R5NHMMVM
R6NHMMVM
R7NHMMVM
R8NHMMVM
R9NHMMVM
R10NHMMVM
R3NHMMVM:W3 Month moved to Nurs home
R4NHMMVM:W4 Month moved to Nurs home
R5NHMMVM:W5 Month moved to Nurs home
R6NHMMVM:W6 Month moved to Nurs home
R7NHMMVM:W7 Month moved to Nurs home
R8NHMMVM:W8 Month moved to Nurs home
R9NHMMVM:W9 Month moved to Nurs home
R10NHMMVM:W10 Month moved to Nurs home
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Nrs home nghts, prv 12 mos
Nights in nurs home, prv 2
Nights in nurs home, prv 2
Nights in nurs home, prv 2
Nights in nurs home, prv 2
Nights in nurs home, prv 2
Nights in nurs home, prv 2
Nights in nurs home, prv 2
Nights in nurs home, prv 2
# Nights in nurs home, prv
# Nights in nurs home, prv
yrs
yrs
yrs
yrs
yrs
yrs
yrs
yrs
2 yrs
2 yrs
Section B: Health
242
11
R11NHMMVM
R11NHMMVM:W11 Month moved to Nurs home
Cont
3
4
5
6
7
8
9
10
11
S3NHMMVM
S4NHMMVM
S5NHMMVM
S6NHMMVM
S7NHMMVM
S8NHMMVM
S9NHMMVM
S10NHMMVM
S11NHMMVM
S3NHMMVM:W3 Month moved to Nurs home
S4NHMMVM:W4 Month moved to Nurs home
S5NHMMVM:W5 Month moved to Nurs home
S6NHMMVM:W6 Month moved to Nurs home
S7NHMMVM:W7 Month moved to Nurs home
S8NHMMVM:W8 Month moved to Nurs home
S9NHMMVM:W9 Month moved to Nurs home
S10NHMMVM:W10 Month moved to Nurs home
S11NHMMVM:W11 Month moved to Nurs home
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
3
4
5
6
7
8
9
10
11
R3NHMDAY
R4NHMDAY
R5NHMDAY
R6NHMDAY
R7NHMDAY
R8NHMDAY
R9NHMDAY
R10NHMDAY
R11NHMDAY
R3NHMDAY:W3 Days in NH from Move/PrvIvw
R4NHMDAY:W4 Days in NH from Move/PrvIvw
R5NHMDAY:W5 Days in NH from Move/PrvIvw
R6NHMDAY:W6 Days in NH from Move/PrvIvw
R7NHMDAY:W7 Days in NH from Move/PrvIvw
R8NHMDAY:W8 Days in NH from Move/PrvIvw
R9NHMDAY:W9 Days in NH from Move/PrvIvw
R10NHMDAY:W10 Days in NH from Move/PrvIvw
R11NHMDAY:W11 Days in NH from Move/PrvIvw
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
3
4
5
6
7
8
9
10
11
S3NHMDAY
S4NHMDAY
S5NHMDAY
S6NHMDAY
S7NHMDAY
S8NHMDAY
S9NHMDAY
S10NHMDAY
S11NHMDAY
S3NHMDAY:W3 Days in NH from Move/PrvIvw
S4NHMDAY:W4 Days in NH from Move/PrvIvw
S5NHMDAY:W5 Days in NH from Move/PrvIvw
S6NHMDAY:W6 Days in NH from Move/PrvIvw
S7NHMDAY:W7 Days in NH from Move/PrvIvw
S8NHMDAY:W8 Days in NH from Move/PrvIvw
S9NHMDAY:W9 Days in NH from Move/PrvIvw
S10NHMDAY:W10 Days in NH from Move/PrvIvw
S11NHMDAY:W11 Days in NH from Move/PrvIvw
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1NRSHOM
R2NRSHOM
R3NRSHOM
R4NRSHOM
R5NRSHOM
R6NRSHOM
R7NRSHOM
R8NRSHOM
R9NRSHOM
R10NRSHOM
R11NRSHOM
12623
19815
17953
21362
19560
18137
20101
18445
17188
21744
20481
0.00
0.01
0.03
0.03
0.04
0.05
0.04
0.05
0.05
0.05
0.05
0.03
0.09
0.16
0.18
0.19
0.21
0.19
0.21
0.22
0.21
0.22
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S1NRSHOM
S2NRSHOM
S3NRSHOM
S4NRSHOM
S5NRSHOM
S6NRSHOM
S7NRSHOM
S8NRSHOM
S9NRSHOM
S10NRSHOM
S11NRSHOM
9878
13286
11902
13972
12725
11627
12962
11729
10635
13354
12467
0.00
0.01
0.01
0.01
0.02
0.02
0.02
0.02
0.02
0.03
0.03
0.03
0.09
0.11
0.12
0.13
0.14
0.13
0.15
0.15
0.16
0.16
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R1NRSTIM
R2NRSTIM
R3NRSTIM
12623
19811
17941
0.00
0.01
0.03
0.03
0.39
0.25
0.0
0.0
0.0
1.0
50.0
11.0
Section B: Health
243
R4NRSTIM
R5NRSTIM
R6NRSTIM
R7NRSTIM
R8NRSTIM
R9NRSTIM
R10NRSTIM
R11NRSTIM
21333
19539
18107
20077
18426
17164
21705
20404
0.04
0.04
0.06
0.05
0.06
0.07
0.06
0.07
0.62
0.26
0.57
0.69
0.49
0.57
0.48
1.00
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
73.0
10.0
58.0
71.0
30.0
56.0
50.0
90.0
S1NRSTIM
S2NRSTIM
S3NRSTIM
S4NRSTIM
S5NRSTIM
S6NRSTIM
S7NRSTIM
S8NRSTIM
S9NRSTIM
S10NRSTIM
S11NRSTIM
9878
13085
11897
13963
12717
11623
12958
11725
10630
13344
12457
0.00
0.00
0.02
0.02
0.02
0.03
0.02
0.03
0.03
0.04
0.04
0.03
0.07
0.18
0.34
0.18
0.35
0.18
0.38
0.58
0.51
0.39
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
3.0
10.0
36.0
9.0
30.0
9.0
24.0
56.0
50.0
36.0
R1NRSNIT
R2NRSNIT
R3NRSNIT
R4NRSNIT
R5NRSNIT
R6NRSNIT
R7NRSNIT
R8NRSNIT
R9NRSNIT
R10NRSNIT
R11NRSNIT
12623
19805
17926
21328
19525
18097
20069
18412
17147
21696
20409
0.10
0.40
6.10
9.47
11.02
13.05
11.05
12.53
13.11
12.67
10.98
4.91
8.79
56.89
77.23
82.97
97.21
84.01
90.81
90.70
104.04
83.59
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
365.0
510.0
1644.0
1440.0
1674.0
2283.0
3349.0
2344.0
1614.0
5325.0
2922.0
S1NRSNIT
S2NRSNIT
S3NRSNIT
S4NRSNIT
S5NRSNIT
S6NRSNIT
S7NRSNIT
S8NRSNIT
S9NRSNIT
S10NRSNIT
S11NRSNIT
9878
13082
11894
13964
12715
11618
12960
11720
10629
13344
12445
0.10
0.17
2.99
3.12
3.55
3.65
2.77
3.58
3.10
3.78
3.96
5.15
5.44
43.05
44.48
46.67
50.64
39.62
48.66
39.50
46.73
50.71
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
365.0
360.0
1644.0
1308.0
1583.0
2252.0
1371.0
2100.0
945.0
1034.0
2922.0
R3NHMLIV
R4NHMLIV
R5NHMLIV
R6NHMLIV
R7NHMLIV
R8NHMLIV
R9NHMLIV
R10NHMLIV
R11NHMLIV
17991
21384
19579
18165
20129
18469
17217
22034
20554
0.02
0.02
0.02
0.03
0.02
0.02
0.03
0.02
0.02
0.13
0.14
0.15
0.16
0.15
0.15
0.16
0.14
0.15
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S3NHMLIV
S4NHMLIV
S5NHMLIV
S6NHMLIV
S7NHMLIV
S8NHMLIV
S9NHMLIV
S10NHMLIV
11915
13978
12730
11639
12972
11735
10646
13517
0.01
0.01
0.01
0.01
0.01
0.01
0.01
0.01
0.08
0.08
0.09
0.08
0.08
0.08
0.08
0.09
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Section B: Health
244
S11NHMLIV
12490
0.01
0.09
0.0
1.0
R3NHMMVY
R4NHMMVY
R5NHMMVY
R6NHMMVY
R7NHMMVY
R8NHMMVY
R9NHMMVY
R10NHMMVY
R11NHMMVY
290
416
450
434
436
421
411
443
450
1994.48
1995.53
1997.99
1999.64
2001.69
2002.61
2005.93
2007.90
2009.54
1.52
6.17
2.77
5.31
2.64
9.79
2.33
3.36
5.19
1978.0
1919.0
1968.0
1910.0
1984.0
1913.0
1994.0
1963.0
1917.0
1996.0
1999.0
2000.0
2002.0
2005.0
2007.0
2008.0
2011.0
2013.0
S3NHMMVY
S4NHMMVY
S5NHMMVY
S6NHMMVY
S7NHMMVY
S8NHMMVY
S9NHMMVY
S10NHMMVY
S11NHMMVY
79
84
93
73
76
82
75
107
95
1994.10
1993.25
1997.63
2000.03
2002.13
2003.40
2006.61
2008.83
2010.14
2.32
11.64
4.07
2.25
2.80
7.91
1.77
1.97
2.28
1978.0
1919.0
1968.0
1989.0
1989.0
1935.0
1999.0
1998.0
1998.0
1996.0
1999.0
2000.0
2002.0
2004.0
2006.0
2008.0
2011.0
2013.0
R3NHMMVM
R4NHMMVM
R5NHMMVM
R6NHMMVM
R7NHMMVM
R8NHMMVM
R9NHMMVM
R10NHMMVM
R11NHMMVM
289
412
436
382
388
380
368
406
419
5.90
5.75
5.84
5.99
5.95
6.43
6.50
7.03
6.38
3.73
3.54
3.43
3.38
3.30
3.37
3.37
3.35
3.49
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
S3NHMMVM
S4NHMMVM
S5NHMMVM
S6NHMMVM
S7NHMMVM
S8NHMMVM
S9NHMMVM
S10NHMMVM
S11NHMMVM
77
83
90
66
70
77
70
106
92
6.19
5.16
5.58
7.09
5.91
6.55
7.09
6.92
5.55
3.90
3.50
3.39
3.62
3.29
3.34
3.38
3.57
3.54
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
12.0
R3NHMDAY
R4NHMDAY
R5NHMDAY
R6NHMDAY
R7NHMDAY
R8NHMDAY
R9NHMDAY
R10NHMDAY
R11NHMDAY
290
416
450
434
435
421
411
443
450
371.16
452.76
469.46
518.41
469.89
492.36
480.66
537.50
452.43
266.11
303.35
304.21
338.45
307.52
306.34
304.49
350.13
290.35
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
1644.0
1581.0
1736.0
2283.0
3349.0
2100.0
1614.0
1765.0
2769.0
S3NHMDAY
S4NHMDAY
S5NHMDAY
S6NHMDAY
S7NHMDAY
S8NHMDAY
S9NHMDAY
S10NHMDAY
S11NHMDAY
79
84
93
73
76
82
75
107
95
428.30
475.15
455.92
498.27
385.86
439.21
371.41
414.56
409.22
312.44
326.26
307.89
358.94
307.38
376.84
267.35
306.64
244.40
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
15.0
1644.0
1581.0
1583.0
2252.0
1371.0
2100.0
945.0
1034.0
884.0
Section B: Health
245
Categorical Variable Codes
Value----------------------|R1NRSHOM
.D=DK/NA
|7
.M=Oth missing
|22
.R=RF
|
0.no
|12609
1.yes
|14
R2NRSHOM R3NRSHOM
1
1
35
1
2
19665
17456
150
497
R4NRSHOM R5NRSHOM
1
18
17
4
1
20651
18836
711
724
R6NRSHOM
6
15
7
17303
834
R7NRSHOM
3
18
7
19306
795
R8NRSHOM
4
16
4
17580
865
R9NRSHOM
8
16
5
16319
869
R10NRSHOM
15
262
13
20701
1043
R11NRSHOM
7
63
3
19469
1012
Value----------------------|S1NRSHOM
.D=DK/NA
|6
.M=Oth missing
|16
.R=RF
|
.U=Unmar
|2373
.V=Sp NR
|379
0.no
|9868
1.yes
|10
S2NRSHOM S3NRSHOM S4NRSHOM S5NRSHOM S6NRSHOM
3
1
13
6
5
5
1
4
5970
5658
6869
6538
6306
384
418
537
311
220
13185
11752
13776
12522
11384
101
150
196
203
243
S7NRSHOM
1
4
5
6777
380
12750
212
S8NRSHOM
1
3
2
6417
317
11464
265
S9NRSHOM
4
4
3
6206
365
10399
236
S10NRSHOM
4
150
9
7795
722
13007
347
S11NRSHOM
2
19
2
7473
591
12140
327
Value----------------------|
0.no
|
1.yes
|
R3NHMLIV R4NHMLIV R5NHMLIV R6NHMLIV R7NHMLIV R8NHMLIV R9NHMLIV
17693
20955
19122
17705
19669
18031
16776
298
429
457
460
460
438
441
R10NHMLIV R11NHMLIV
21565
20076
469
478
Value----------------------|
.U=Unmar
|
.V=Sp NR
|
0.no
|
1.yes
|
S3NHMLIV
5658
418
11834
81
S10NHMLIV
7795
722
13409
108
S4NHMLIV
6869
537
13891
87
S5NHMLIV
6538
311
12635
95
S6NHMLIV
6306
220
11557
82
S7NHMLIV
6777
380
12892
80
S8NHMLIV
6417
317
11652
83
S9NHMLIV
6206
365
10570
76
S11NHMLIV
7473
591
12393
97
How Constructed:
RwNRSHOM indicates
period. In Wave 1
last interview, or
nursing home stay,
over all stays.
whether the respondent reports any overnight nursing home stay in the reference
and 2A, the reference period is 12 months; in other waves it is the period since the
the last 2 years for new interviewees. If the respondent reports any overnight
RwNRSTIM is the reported number of stays and RwNRSNIT is the reported number of nights
From Wave 3 forward, a set of related variables provides information about nursing home residence when
the respondent is living in a nursing home at the time of the interview. RwNHMLIV indicates whether the
respondent lives in a nursing home or other health care facility at the time of the interview. For those
living in a nursing home, RwNHMMVY and RwNHMMVM give the year and month of moving into the facility.
RwNHMDAY is the calculated number days since the last interview that the respondent has been living in a
nursing home. If the move-in date is after the previous interview then RwNHMDAY is assigned the number
of days between the 15th of the move-in month and the 15th of the current interview month. If the movein date is earlier than the previous interview then RwNHMDAY is assigned the numer of days between
interviews.
Beginning with Tracker 2004 V1, HRS implemented a verified nursing home residence flag for each wave
(xNURSHM). From Wave 5 forward, there are cases at each interview where this information conflicts with
nursing home residency reported in the core data cover sheet section. We incorporate the verified
nursing home information from Tracker with nursing home utilization information. The question about any
nursing home stay is filled by default as Yes for those living in a nursing home; in some cases the
interviewer seems to have over-ridden this with a No, but in others this did not occur. We examine these
cases for length of stay, residency move-in date, and missing answers to estimate whether there is any
nursing home utilization besides the residency reported in the core data, which HRS has determined is NOT
a nursing home. If the length of stay is reported as zero nights, continuous since move-in (996), or is
about the same as the length of residency as determined from move-in dates, then we assume that the stay
is the same as the residence which is not a nursing home, i.e., that there is no nursing home
utilization. If the answers to the number of times or number of nights are missing we assume these
indicate the realization that the current residence is not a nursing home, without knowing how to undo
the default assumption of a nursing home stay, so in this case we also assume no nursing home
utilization. If the number of stays is given as 5, we assume this was intended to be the normal code for
No, and assume no nursing home utilization in this situation as well. We also apply the Tracker
information to RwNHMLIV, RwNHMMVM, RwNHMMVY, and RwNHMDAY. If Tracker indicates that R is not a nursing
home resident, RwNHMLIV is set to No and the rest of the variables are irrelevant.
SwNRSHOM, SwNRSTIM, SwNRSNIT, SwNHMLIV, SwNHMMVY, SwNHMMVM, SwNHMDAY give this information for the
respondent's spouse or partner.
Section B: Health
246
Medical care utilization variables are recoded for missing values. In Wave 1, the medical utilization
variables are imputed in the original HRS data. Imputed values are recoded to missing. RwNRSHOM is
recoded as a yes/no indicator. Beginning in Wave 3, if R is currently in a nursing home, RwNRSHOM is set
to yes. If the respondent did not report any nursing home stay, then RwNRSTIM and RwNRSNIT are set to
zero. Beginning in Wave 3, the number of nights in a nursing home could be reported as 996, indicating
“continuous since entered”, if the respondent is living in a nursing home at the time of the interview.
For these cases, RwNHMDAY is assigned to RwNRSNIT, unless more than one stay is reported and the number
of days for the current stay is less than the time since last interview. If more than one stay is
reported and RwNHMDAY is less than the entire time since last interview, then RwNRSNIT is assigned the
special missing value .L, as the length of at least one prior stays is unknown. If the previous
interview was more than two years ago, then it is possible for RwNRSNIT to exceed 720 (365 x 2 years; 365
x 4 years; etc.). These high values can be checked against the INW variables, which indicate whether R
was present for the Wave in question.
In Wave 2A, the question about any overnight nursing home stay was asked at the household level of
financial respondents for both the FinR and spouse, and of all individual respondents as well. When both
levels of information are available the FinR's HH-level information may not agree with the information
given by individual respondents in all cases. If there is any disagreement, the respondent's own report
is used. Where necessary and possible, we use HH level data to fill missing spouse/partners'
information.
In Wave 2A, the S2NRSHOM is taken from spouses' or HH-level response. For all other waves, the spouse
variables are taken from the Wave 'w' spouse's self-reported information, e.g., S3NRSHOM is taken from
the Wave 3 spouse's R3NRSHOM variable.
Cross Wave Differences in Original HRS Data
The questions about medical service utilization vary across waves. Wave 1 and 2A questions ask about the
last 12 months, while questions in subsequent waves ask about the period since the previous interview or
the last 2 years.
In Wave 1, questions ask about hospital and nursing home stays, doctor visits, and home health care.
Wave 2H, questions are added that ask about prescription drugs. In Wave 2A and from Wave 3 forward,
questions are added that ask about outpatient surgery, dentist, and special facilities or services.
In
In Wave 2A, the Financial respondent was asked the medical utilization and expenditure questions, which
differs from all other waves. Questions asked only of the FinR yield HH-level data, and those asked of
all respondents yield respondent-level data. Note that when both levels are available the FinR's HHlevel information may not agree with the information given by individual respondents in all cases. If
there is any disagreement, the respondent's own report is used. Where necessary and possible for
utilization variables, we use HH level data to fill missing spouse/partners' information.
For nursing home stays, the questions ask if the respondent was a patient in a nursing home overnight,
how many times, and how many nights altogether. In Wave 2A and from Wave 3 on, the initial question text
includes convalescent home or other long-term health care facility along with nursing home. Beginning in
Wave 3, the initial question was skipped if the respondent is currently living in a nursing home. For
these nursing home residents, the second question asks how many times including now, and the third
question regarding number of nights can be coded 996=continuous since entered.
The questions about residence in the nursing home at the time of the interview and when the respondent
moved into the nursing home begin in Wave 3. Note that in Waves 1 and 2A there are no respondents living
in a nursing home. In Wave 2H, there are only 6 respondents who are nursing home residents, and there is
no provision in the utilization section for using this information to determine use or length of stay.
So we have chosen not to consider this information for so few respondents. If others are interested in
exploring this in Wave 2H, these cases are flagged by W109=21 in the core data. Move month and year are
W107 and W108, also in the core data.
Beginning with Tracker 2004 V1, HRS implemented a verified nursing home residence flag for each wave,
xNURSHM, e.g., GNURSHM for Wave 5 (2000). From Wave 5 forward, there are cases at each interview where
this information conflicts with nursing home residency reported in the core data cover sheet section. In
the questions about nursing home utilization, a cover-sheet reported nursing home resident is assigned as
Yes for any nursing home stays by default. In some cases where Tracker indicates residence is NOT a
nursing home, the interviewer had over-ridden this with a No for any nursing home stays, but in many
Section B: Health
247
cases this did not occur. We examine these cases for length of stay, residency move-in date, and missing
answers to estimate whether there is any nursing home utilization besides the residency reported in the
core data, which HRS has determined is NOT a nursing home.
HRS Variables Used
HRS 1992:
V10536
V536
V537
V538
AHEAD 1993:
B622R
B623
B624
HRS 1994:
W415
W416
W417
AHEAD 1995:
D1681
D1682
D1683
D1684
D240
D417
D418
HRS 1996:
E1776
E1777
E1778
E1779
E240
E417
E418
HRS 1998:
F2299
F2300
F2301
F2302
F517
F718
F719
HRS 2000:
G2571
G2572
G2573
G2574
G558
G789
G790
HRS 2002:
HA028
HA065
HA066
HN114
HN115
HN116
HN117
HRS 2004:
JA028
JA065
JA066
B46:PST YR:EVR IF NR:IND
B46:PST YR:EVR IF NR:IMP
B46A:1 YR:TIMES NURS
B46B:YR:NIGHTS NURSG
E5. R IN NURSING HOME LAST 12 MOS
E6. # TIMES R IN NURSING HOME LAST 12 MO
E7. # NIGHTS IN NURSING HOME LAST 12 MOS
B30.NURSING HOME OVERNIG
B30a.TIMES IN NURSING HO
B30b.NUMBER OF NIGHTS IN
E5. NURSING HOME
E6. NURHM # TIMES
E7. NURHM-1 NIGHTS
E7A.NURHM-1 MONTHS
CS11.R-WHERE LIVE
CS25.MONTH MOVED TO NURS HOME
CS25.YEAR MOVED TO NURS HOME
E5. NURSING HOME-YR
E6. NURHM # TIMES
E7. NURHM-1 NIGHTS
E7A.NURHM-1 MONTHS
CS11.R-WHERE LIVE
CS25.MONTH MOVED TO NURS HOME
CS25.YEAR MOVED TO NURS HOME
E5. NURSING HOME-YR
E6. NURHM # TIMES
E7. NURHM-1 NIGHTS
E7A.NURHM-1 MONTHS
CS11.R IN NURSING HOME
CS25.MONTH MOVED TO NURS HOME
CS25.YEAR MOVED TO NURS HOME
E5. NURSING HOME-YR
E6. NURHM # TIMES
E7. NURHM-1 NIGHTS
E7A.NURHM-1 MONTHS
CS11.R IN NURSING HOME
CS25.MONTH MOVED TO NURS HOME
CS25A. YEAR MOVED TO NURS HOME
R IN NURSING HOME
MONTH MOVED TO NH
YEAR MOVED TO NURS HOME
EVER PATIENT OVERNIGHT IN NURSING HOME
# TIMES SPENT OVERNIGHT IN NURSING HOME
NUM NIGHTS R SPENT OVERNIGHT IN NH
NUM MOS R SPENT OVERNIGHT IN NH
R IN NURSING HOME
MONTH MOVED TO NH
YEAR MOVED TO NURS HOME
Section B: Health
JN114
JN115
JN116
JN117
HRS 2006:
KA028
KA065
KA066
KN114
KN115
KN116
KN117
HRS 2008:
LA028
LA065
LA066
LN114
LN115
LN116
LN117
HRS 2010:
MA028
MA065
MA066
MN114
MN115
MN116
MN117
HRS 2012:
NA028
NA065
NA066
NN114
NN115
NN116
NN117
Tracker:
GNURSHM
HNURSHM
JNURSHM
248
EVER PATIENT OVERNIGHT IN NURSING HOME
# TIMES SPENT OVERNIGHT IN NURSING HOME
NUM NIGHTS R SPENT OVERNIGHT IN NH
NUM MOS R SPENT OVERNIGHT IN NH
R IN NURSING HOME
MONTH MOVED TO NH
YEAR MOVED TO NURS HOME
EVER PATIENT OVERNIGHT IN NURSING HOME
# TIMES SPENT OVERNIGHT IN NURSING HOME
NUM NIGHTS R SPENT OVERNIGHT IN NH
NUM MOS R SPENT OVERNIGHT IN NH
R IN NURSING HOME
MONTH MOVED TO NH
YEAR MOVED TO NURS HOME
EVER PATIENT OVERNIGHT IN NURSING HOME
# TIMES SPENT OVERNIGHT IN NURSING HOME
NUM NIGHTS R SPENT OVERNIGHT IN NH
NUM MOS R SPENT OVERNIGHT IN NH
R IN NURSING HOME
MONTH MOVED TO NH
YEAR MOVED TO NURS HOME
EVER PATIENT OVERNIGHT IN NURSING HOME
# TIMES SPENT OVERNIGHT IN NURSING HOME
NUM NIGHTS R SPENT OVERNIGHT IN NH
NUM MOS R SPENT OVERNIGHT IN NH
R IN NURSING HOME
MONTH MOVED TO NH
YEAR MOVED TO NURS HOME
EVER PATIENT OVERNIGHT IN NURSING HOME
# TIMES SPENT OVERNIGHT IN NURSING HOME
NUM NIGHTS R SPENT OVERNIGHT IN NH
NUM MOS R SPENT OVERNIGHT IN NH
2000 NURSING HOME STATUS
2002 NURSING HOME STATUS
2004 NURSING HOME STATUS
Section B: Health
249
Medical care utilization: Doctor
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1DOCTOR
R2DOCTOR
R3DOCTOR
R4DOCTOR
R5DOCTOR
R6DOCTOR
R7DOCTOR
R8DOCTOR
R9DOCTOR
R10DOCTOR
R11DOCTOR
R1DOCTOR:W1 Doctor visit, prv 12 mos
R2DOCTOR:W2 Doctor visit, prv 2 yrs
R3DOCTOR:W3 Doctor visit, prv 2 yrs
R4DOCTOR:W4 Doctor visit, prv 2 yrs
R5DOCTOR:W5 Doctor visit, prv 2 yrs
R6DOCTOR:W6 Doctor visit, prv 2 yrs
R7DOCTOR:W7 Doctor visit, prv 2 yrs
R8DOCTOR:W8 Doctor visit, prv 2 yrs
R9DOCTOR:W9 Doctor visit, prv 2 yrs
R10DOCTOR:W10 Doctor visit, prv 2 yrs
R11DOCTOR:W11 Doctor visit, prv 2 yrs
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1DOCTOR
S2DOCTOR
S3DOCTOR
S4DOCTOR
S5DOCTOR
S6DOCTOR
S7DOCTOR
S8DOCTOR
S9DOCTOR
S10DOCTOR
S11DOCTOR
S1DOCTOR:W1 Doctor visit, prv 12 mos
S2DOCTOR:W2 Doctor visit, prv 2 yrs
S3DOCTOR:W3 Doctor visit, prv 2 yrs
S4DOCTOR:W4 Doctor visit, prv 2 yrs
S5DOCTOR:W5 Doctor visit, prv 2 yrs
S6DOCTOR:W6 Doctor visit, prv 2 yrs
S7DOCTOR:W7 Doctor visit, prv 2 yrs
S8DOCTOR:W8 Doctor visit, prv 2 yrs
S9DOCTOR:W9 Doctor visit, prv 2 yrs
S10DOCTOR:W10 Doctor visit, prv 2 yrs
S11DOCTOR:W11 Doctor visit, prv 2 yrs
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
R1DOCTIM
R2DOCTIM
R3DOCTIM
R4DOCTIM
R5DOCTIM
R6DOCTIM
R7DOCTIM
R8DOCTIM
R9DOCTIM
R10DOCTIM
R11DOCTIM
R1DOCTIM:W1 #
R2DOCTIM:W2 #
R3DOCTIM:W3 #
R4DOCTIM:W4 #
R5DOCTIM:W5 #
R6DOCTIM:W6 #
R7DOCTIM:W7 #
R8DOCTIM:W8 #
R9DOCTIM:W9 #
R10DOCTIM:W10
R11DOCTIM:W11
Doctor vists, prv 12 mos
Doctor vists, prv 2 yrs
Doctor vists, prv 2 yrs
Doctor vists, prv 2 yrs
Doctor vists, prv 2 yrs
Doctor vists, prv 2 yrs
Doctor vists, prv 2 yrs
Doctor vists, prv 2 yrs
Doctor vists, prv 2 yrs
# Doctor vists, prv 2 yrs
# Doctor vists, prv 2 yrs
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1DOCTIM
S2DOCTIM
S3DOCTIM
S4DOCTIM
S5DOCTIM
S6DOCTIM
S7DOCTIM
S8DOCTIM
S9DOCTIM
S10DOCTIM
S11DOCTIM
S1DOCTIM:W1 #
S2DOCTIM:W2 #
S3DOCTIM:W3 #
S4DOCTIM:W4 #
S5DOCTIM:W5 #
S6DOCTIM:W6 #
S7DOCTIM:W7 #
S8DOCTIM:W8 #
S9DOCTIM:W9 #
S10DOCTIM:W10
S11DOCTIM:W11
Doctor vists, prv 12 mos
Doctor vists, prv 2 yrs
Doctor vists, prv 2 yrs
Doctor vists, prv 2 yrs
Doctor vists, prv 2 yrs
Doctor vists, prv 2 yrs
Doctor vists, prv 2 yrs
Doctor vists, prv 2 yrs
Doctor vists, prv 2 yrs
# Doctor vists, prv 2 yrs
# Doctor vists, prv 2 yrs
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Descriptive Statistics
Variable
N
R1DOCTOR
R2DOCTOR
R3DOCTOR
R4DOCTOR
R5DOCTOR
12594
19555
17551
20920
19516
Mean
0.79
0.89
0.93
0.93
0.94
Std Dev
0.41
0.31
0.26
0.25
0.23
Minimum
0.0
0.0
0.0
0.0
0.0
Maximum
1.0
1.0
1.0
1.0
1.0
Section B: Health
250
R6DOCTOR
R7DOCTOR
R8DOCTOR
R9DOCTOR
R10DOCTOR
R11DOCTOR
18143
20092
18440
17191
21753
20476
0.94
0.94
0.95
0.95
0.90
0.90
0.23
0.24
0.22
0.22
0.30
0.30
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
S1DOCTOR
S2DOCTOR
S3DOCTOR
S4DOCTOR
S5DOCTOR
S6DOCTOR
S7DOCTOR
S8DOCTOR
S9DOCTOR
S10DOCTOR
S11DOCTOR
9859
13184
11712
13792
12714
11631
12959
11728
10637
13356
12465
0.79
0.88
0.93
0.93
0.94
0.94
0.94
0.95
0.95
0.91
0.90
0.41
0.32
0.26
0.25
0.23
0.23
0.24
0.22
0.23
0.29
0.30
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R1DOCTIM
R2DOCTIM
R3DOCTIM
R4DOCTIM
R5DOCTIM
R6DOCTIM
R7DOCTIM
R8DOCTIM
R9DOCTIM
R10DOCTIM
R11DOCTIM
12594
19555
17551
20920
19052
17451
19428
17623
16191
20817
19502
4.46
6.18
9.00
10.17
9.86
10.78
10.68
10.62
10.62
10.98
10.04
8.67
10.88
14.63
18.52
16.21
20.37
23.27
18.65
17.83
24.53
25.43
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
95.0
336.0
600.0
730.0
500.0
900.0
840.0
612.0
525.0
900.0
900.0
S1DOCTIM
S2DOCTIM
S3DOCTIM
S4DOCTIM
S5DOCTIM
S6DOCTIM
S7DOCTIM
S8DOCTIM
S9DOCTIM
S10DOCTIM
S11DOCTIM
9859
12984
11712
13792
12481
11328
12653
11331
10174
12950
12043
4.23
5.90
8.53
9.55
9.32
10.19
10.18
10.14
10.18
10.40
9.58
8.15
10.33
14.90
18.54
15.18
20.15
22.75
18.84
17.90
21.99
24.02
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
95.0
300.0
600.0
730.0
360.0
900.0
840.0
612.0
500.0
900.0
900.0
Categorical Variable Codes
Value----------------------|R1DOCTOR
.D=DK/NA
|41
.M=Oth missing
|17
.R=RF
|
0.no
|2625
1.yes
|9969
R2DOCTOR
250
2
10
2100
17455
R3DOCTOR
373
56
11
1284
16267
R4DOCTOR
433
20
11
1418
19502
R5DOCTOR
37
20
6
1137
18379
R6DOCTOR
2
15
5
1058
17085
R7DOCTOR
9
21
7
1269
18823
Value----------------------|S1DOCTOR
.D=DK/NA
|29
.M=Oth missing
|12
.R=RF
|
.U=Unmar
|2373
.V=Sp NR
|379
0.no
|2066
1.yes
|7793
S2DOCTOR S3DOCTOR S4DOCTOR
99
176
174
24
6
5
3
6
5970
5658
6869
384
418
537
1581
842
922
11603
10870
12870
S5DOCTOR
8
5
3
6538
311
715
11999
S6DOCTOR S7DOCTOR
4
5
4
3
5
6306
6777
220
380
666
792
10965
12167
R8DOCTOR
2
22
5
954
17486
R9DOCTOR
2
18
6
917
16274
R10DOCTOR
4
264
13
2129
19624
R11DOCTOR
8
64
6
2082
18394
S8DOCTOR S9DOCTOR
S10DOCTOR
2
150
9
7795
722
1268
12088
S11DOCTOR
3
19
3
7473
591
1256
11209
5
2
6417
317
609
11119
5
4
6206
365
570
10067
How Constructed:
RwDOCTOR indicates whether the respondent reports any doctor visit in the reference period. In Wave 1
and 2A, the reference period is 12 months; in other waves it is the period since the last interview, or
Section B: Health
the last 2 years for new interviewees.
reported number of visits.
251
If the respondent reports any doctor visit, RwDOCTIM is the
SwDOCTOR and SwDOCTIM give this information for the respondent's spouse or partner.
Medical care utilization variables are recoded for missing values. In Wave 1, the medical utilization
variables are imputed in the original HRS data. Imputed values are recoded to missing. If the
respondent did not report any doctor visit, then RwDOCTIM is zero. RwDOCTOR is recoded as a yes/no
indicator based on the number of visits reported.
Beginning in Wave 5 unfolding bracket questions are introduced for those who don't know or refuse this
question. Any response of "about" to these questions assigns the value to RwDOCTIM. For example if R
responds about 20 then 20 is assigned RwDOCTIM. In addition SAS special missing values indicate the
resulting bracket:
.E indicates 1-4 times
.F indicates 6-19 times
.G indicates 21-49 times
.H indicates 51 or more times
.I indicates at least once
.J indicates 0-5 times
.K indicates 1-19 times
.L indicates 21 or more times
If R falls into any of these brackets except 0-5 times (.J), then RwDOCTOR is set to yes (=1). If R says
no to seeing a doctor at least once, RwDOCTIM is set to zero and RwDOCTOR is set to no (=0).
In Wave 2A, the S2DOCTOR is taken from spouses' or HH-level response. For all other waves, the spouse
variables are taken from the Wave 'w' spouse's self-reported information, e.g., S3DOCTOR is taken from
the Wave 3 spouse's R3DOCTOR variable.
Cross Wave Differences in Original HRS Data
The questions about medical service utilization vary across waves. Wave 1 and 2A questions ask about the
last 12 months, while questions in subsequent waves ask about the period since the previous interview or
the last 2 years.
In Wave 1, questions ask about hospital and nursing home stays, doctor visits, and home health care.
Wave 2H, questions are added that ask about prescription drugs. In Wave 2A and from Wave 3 forward,
questions are added that ask about outpatient surgery, dentist, and special facilities or services.
In
In Wave 2A, the Financial respondent was asked the medical utilization and expenditure questions, which
differs from all other waves. Questions asked only of the FinR yield HH-level data, and those asked of
all respondents yield respondent-level data. Note that when both levels are available the FinR's HHlevel information may not agree with the information given by individual respondents in all cases. If
there is any disagreement, the respondent's own report is used. Where necessary and possible for
utilization variables, we use HH level data to fill missing spouse/partners' information.
For doctor visits, the question asks how many times the respondent has seen or talked to a medical doctor
including emergency room or clinic visits. In Wave 1, 2, the question text instructs the respondent not
to include overnight hospital or nursing home stays. Beginning in Wave 3, the question text only
instructs the respondent not to include any hospital stays.
Beginning in Wave 5, there are unfolding bracket questions if R doesn't know or refuses to answer the
question. The amounts in this series of questions are at least once, 5, 20, and 50 times. The order
Section B: Health
252
presented is 20, then 5 and at least once if less than 20, or 50 if more than 20.
less than, more than or about.
HRS Variables Used
HRS 1992:
V10539
V539
AHEAD 1993:
B640
HRS 1994:
W420
AHEAD 1995:
D1698
HRS 1996:
E1790
HRS 1998:
F2331
HRS 2000:
G2603
G2604
G2605
G2606
G2607
HRS 2002:
HN147
HN148
HN149
HN150
HN151
HRS 2004:
JN147
JN148
JN149
JN150
JN151
HRS 2006:
KN147
KN148
KN149
KN150
KN151
HRS 2008:
LN147
LN148
LN149
LN150
LN151
HRS 2010:
MN147
MN148
MN149
MN150
MN151
HRS 2012:
NN147
NN148
NN149
NN150
NN151
B47:YR:TIMES W/ DOCT:IND
B47:YR:TIMES W/ DOCT:IMP
E12. #TIMES R TALK TO DOCTOR LAST 12 MOS
B31.NUMBER OF DOCTOR VIS
E11. DR TIMES
E11. DR TIMES
E11. DR TIMES
E11. DR TIMES
E11A. DR 20 TIMES
E11B. DR 5 TIMES
E11C. DR ANY TIME
E11D. DR 50 TIMES
# TIMES SEEN DR- PREV IW/2 YRS
NUMBER TIMES SEEN DOCTOR 20X
NUMBER TIMES SEEN DOCTOR 5X
HAS R SOUGHT DOC ADVICE IN PAST 2 YRS
R SEEK DOC ADVICE 50X
# TIMES SEEN DR- PREV IW/2 YRS
NUMBER TIMES SEEN DOCTOR 20X
NUMBER TIMES SEEN DOCTOR 5X
HAS R SOUGHT DOC ADVICE IN PAST 2 YRS
R SEEK DOC ADVICE 50X
# TIMES SEEN DR- PREV IW/2 YRS
NUMBER TIMES SEEN DOCTOR 20X
NUMBER TIMES SEEN DOCTOR 5X
HAS R SOUGHT DOC ADVICE IN PAST 2 YRS
R SEEK DOC ADVICE 50X
# TIMES SEEN DR- PREV IW/2 YRS
NUMBER TIMES SEEN DOCTOR 20X
NUMBER TIMES SEEN DOCTOR 5X
HAS R SOUGHT DOC ADVICE IN PAST 2 YRS
R SEEK DOC ADVICE 50X
# TIMES SEEN DR- PREV IW/2 YRS
NUMBER TIMES SEEN DOCTOR 20X
NUMBER TIMES SEEN DOCTOR 5X
HAS R SOUGHT DOC ADVICE IN PAST 2 YRS
R SEEK DOC ADVICE 50X
# TIMES SEEN DR- PREV IW/2 YRS
NUMBER TIMES SEEN DOCTOR 20X
NUMBER TIMES SEEN DOCTOR 5X
HAS R SOUGHT DOC ADVICE IN PAST 2 YRS
R SEEK DOC ADVICE 50X
The responses could be
Section B: Health
253
Medical care utilization: Home Care
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1HOMCAR
R2HOMCAR
R3HOMCAR
R4HOMCAR
R5HOMCAR
R6HOMCAR
R7HOMCAR
R8HOMCAR
R9HOMCAR
R10HOMCAR
R11HOMCAR
R1HOMCAR:W1 Home hlth care, prv 12 mos
R2HOMCAR:W2 Home hlth care, prv 2 yrs
R3HOMCAR:W3 Home hlth care, prv 2 yrs
R4HOMCAR:W4 Home hlth care, prv 2 yrs
R5HOMCAR:W5 Home hlth care, prv 2 yrs
R6HOMCAR:W6 Home hlth care, prv 2 yrs
R7HOMCAR:W7 Home hlth care, prv 2 yrs
R8HOMCAR:W8 Home hlth care, prv 2 yrs
R9HOMCAR:W9 Home hlth care, prv 2 yrs
R10HOMCAR:W10 Home hlth care, prv 2 yrs
R11HOMCAR:W11 Home hlth care, prv 2 yrs
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1HOMCAR
S2HOMCAR
S3HOMCAR
S4HOMCAR
S5HOMCAR
S6HOMCAR
S7HOMCAR
S8HOMCAR
S9HOMCAR
S10HOMCAR
S11HOMCAR
S1HOMCAR:W1 Home hlth care, prv 12 mos
S2HOMCAR:W2 Home hlth care, prv 2 yrs
S3HOMCAR:W3 Home hlth care, prv 2 yrs
S4HOMCAR:W4 Home hlth care, prv 2 yrs
S5HOMCAR:W5 Home hlth care, prv 2 yrs
S6HOMCAR:W6 Home hlth care, prv 2 yrs
S7HOMCAR:W7 Home hlth care, prv 2 yrs
S8HOMCAR:W8 Home hlth care, prv 2 yrs
S9HOMCAR:W9 Home hlth care, prv 2 yrs
S10HOMCAR:W10 Home hlth care, prv 2 yrs
S11HOMCAR:W11 Home hlth care, prv 2 yrs
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1HOMCAR
R2HOMCAR
R3HOMCAR
R4HOMCAR
R5HOMCAR
R6HOMCAR
R7HOMCAR
R8HOMCAR
R9HOMCAR
R10HOMCAR
R11HOMCAR
12635
19762
17651
20933
19073
17945
19938
18288
17041
21622
20328
0.01
0.06
0.08
0.08
0.07
0.07
0.07
0.08
0.09
0.09
0.09
0.11
0.23
0.26
0.26
0.25
0.26
0.25
0.27
0.28
0.28
0.28
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S1HOMCAR
S2HOMCAR
S3HOMCAR
S4HOMCAR
S5HOMCAR
S6HOMCAR
S7HOMCAR
S8HOMCAR
S9HOMCAR
S10HOMCAR
S11HOMCAR
9886
13242
11820
13885
12619
11597
12937
11711
10620
13339
12438
0.01
0.03
0.05
0.06
0.05
0.05
0.05
0.06
0.06
0.06
0.07
0.10
0.18
0.22
0.23
0.22
0.23
0.22
0.24
0.24
0.25
0.25
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Categorical Variable Codes
Value----------------------|R1HOMCAR R2HOMCAR R3HOMCAR R4HOMCAR R5HOMCAR R6HOMCAR R7HOMCAR R8HOMCAR R9HOMCAR
.D=DK/NA
|3
2
2
5
13
9
10
10
.M=Missing
|14
52
37
20
42
21
23
18
19
R10HOMCAR R11HOMCAR
10
11
267
65
Section B: Health
254
.N=In NHM
.R=RF
0.No
1.Yes
|
|
|12487
|148
Value----------------------|S1HOMCAR
.D=DK/NA
|3
.M=Missing
|11
.N=In NHM
|
.R=RF
|
.U=Unmar
|2373
.V=Sp NR
|379
0.No
|9795
1.Yes
|91
1
18632
1130
298
3
16325
1326
429
2
19350
1583
457
2
17770
1303
S2HOMCAR S3HOMCAR S4HOMCAR S5HOMCAR
3
24
13
6
12
81
87
95
1
1
5970
5658
6869
6538
406
418
537
311
12807
11211
13109
11982
435
609
776
637
180
6
16631
1314
149
10
18577
1361
148
5
16817
1471
142
5
15553
1488
123
12
19709
1913
148
2
18564
1764
S6HOMCAR
4
6
29
3
6306
220
10964
633
S7HOMCAR
1
5
22
7
6777
380
12308
629
S8HOMCAR
2
3
16
3
6417
317
11014
697
S9HOMCAR
1
5
18
2
6206
365
9943
677
S10HOMCAR
4
152
15
7
7795
722
12480
859
S11HOMCAR
3
19
30
7473
591
11621
817
How Constructed:
RwHOMCAR indicates whether the respondent reports any home health care in the reference period. In Wave
1 and 2A the reference period is 12 months; in other waves it is the period since the last interview, or
the last 2 years for new interviewees.
SwHOMCAR gives this information for the respondent's spouse or partner.
RwHOMCAR is recoded as a yes/no indicator and for missing values. In Wave 1, the medical utilization
variables are imputed in the original HRS data. Imputed values are recoded to missing. From Wave 3
forward this question is skipped if R lives in a nursing home at the time of the interview (see RwNHMLIV
earlier in this section). If the question is skipped for this reason, RwHOMCAR is set to .N, R lives in
a nursing home.
In Wave 2A, only the Financial respondent was asked to answer either himself/herself, partner or both
used home health care. If Financial respondent answer 'himself/herself' or 'both' then R2HOMCAR set to 1
for yes.
In Wave 2A, the S2HOMCAR is taken from spouses' or HH-level response. For all other waves, the spouse
variables are taken from the Wave 'w' spouse's self-reported information, e.g., S3HOMCAR is taken from
the Wave 3 spouse's R3HOMCAR variable.
Cross Wave Differences in Original HRS Data
The questions about medical service utilization vary across waves. Wave 1 and 2A questions ask about the
last 12 months, while questions in subsequent waves ask about the period since the previous interview or
the last 2 years.
In Wave 1, questions ask about hospital and nursing home stays, doctor visits, and home health care.
Wave 2, questions are added that ask about prescription drugs. In Wave 2A and from Wave 3 forward,
questions are added that ask about outpatient surgery, dentist, and special facilities or services.
In
In Wave 2A, the Financial respondent was asked the medical utilization and expenditure questions, which
differs from all other waves. Questions asked only of the FinR yield HH-level data, and those asked of
all respondents yield respondent-level data. Note that when both levels are available the FinR's HHlevel information may not agree with the information given by individual respondents in all cases. If
there is any disagreement, the respondent's own report is used. Where necessary and possible for
utilization variables, we use HH level data to fill missing spouse/partners' information.
For home health care, the questions in Waves 1 and 2H ask if the respondent required any professional
nursing care in his/her own home, and on how many days he/she had home nursing care. In Wave 2A and from
Wave 3 on, the question asks if any medically-trained person has come to the respondent's home to help
him/her. In Wave 2A, only the Financial respondent was asked to answer either himself/herself, partner
or both used home health care. Beginning Wave 3, the question is skipped if the respondent is in a
nursing home. There is no follow-up question about the number of days.
HRS Variables Used
HRS 1992:
V10541
B49:PST YR:PRO NURS :IND
Section B: Health
V541
AHEAD 1993:
B701
HRS 1994:
W424
AHEAD 1995:
D1760
D240
HRS 1996:
E1827
E240
HRS 1998:
F2357
F517
HRS 2000:
G2634
G558
HRS 2002:
HA028
HN189
HRS 2004:
JA028
JN189
HRS 2006:
KA028
KN189
HRS 2008:
LA028
LN189
HRS 2010:
MA028
MN189
HRS 2012:
NA028
NN189
255
B49:PST YR:PRO NURS :IMP
E22. R/SP IN-HOME MED SERV NOT COVERED
B33.PROFESSIONAL NURSING
E22.IN-HOME SERV
CS11.R-WHERE LIVE
E22.IN-HOME SERV
CS11.R-WHERE LIVE
E22.IN-HOME SERV
CS11.R IN NURSING HOME
E22.IN-HOME SERV
CS11.R IN NURSING HOME
R IN NURSING HOME
USED HOME HEALTH SVC- PREV IW/2 YRS
R IN NURSING HOME
USED HOME HEALTH SVC- PREV IW/2 YRS
R IN NURSING HOME
USED HOME HEALTH SVC- PREV IW/2 YRS
R IN NURSING HOME
USED HOME HEALTH SVC- PREV IW/2 YRS
R IN NURSING HOME
USED HOME HEALTH SVC- PREV IW/2 YRS
R IN NURSING HOME
USED HOME HEALTH SVC- PREV IW/2 YRS
Section B: Health
256
Medical care utilization: Other Medical Care Utilization
Wave
Variable
Label
Type
2
3
4
5
6
7
8
9
10
11
R2DRUGS
R3DRUGS
R4DRUGS
R5DRUGS
R6DRUGS
R7DRUGS
R8DRUGS
R9DRUGS
R10DRUGS
R11DRUGS
R2DRUGS:W2 Reg take Rx, prv 1-yr(A)
R3DRUGS:W3 Reg take Rx, Prv 2 yrs
R4DRUGS:W4 Reg take Rx, Prv 2 yrs
R5DRUGS:W5 Reg take Rx, Prv 2 yrs
R6DRUGS:W6 Reg take Rx, Prv 2 yrs
R7DRUGS:W7 Reg take Rx, Prv 2 yrs
R8DRUGS:W8 Reg take Rx, Prv 2 yrs
R9DRUGS:W9 Reg take Rx, Prv 2 yrs
R10DRUGS:W10 Reg take Rx, Prv 2 yrs
R11DRUGS:W11 Reg take Rx, Prv 2 yrs
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2DRUGS
S3DRUGS
S4DRUGS
S5DRUGS
S6DRUGS
S7DRUGS
S8DRUGS
S9DRUGS
S10DRUGS
S11DRUGS
S2DRUGS:W2 Reg take Rx, prv 1-yr(A)
S3DRUGS:W3 Reg take Rx, Prv 2 yrs
S4DRUGS:W4 Reg take Rx, Prv 2 yrs
S5DRUGS:W5 Reg take Rx, Prv 2 yrs
S6DRUGS:W6 Reg take Rx, Prv 2 yrs
S7DRUGS:W7 Reg take Rx, Prv 2 yrs
S8DRUGS:W8 Reg take Rx, Prv 2 yrs
S9DRUGS:W9 Reg take Rx, Prv 2 yrs
S10DRUGS:W10 Reg take Rx, Prv 2 yrs
S11DRUGS:W11 Reg take Rx, Prv 2 yrs
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2OUTPT
R3OUTPT
R4OUTPT
R5OUTPT
R6OUTPT
R7OUTPT
R8OUTPT
R9OUTPT
R10OUTPT
R11OUTPT
R2OUTPT:W2 OutpatSurg, prv 1-,2-yr(A,H)
R3OUTPT:W3 Outpatient surgry, prv 2 yrs
R4OUTPT:W4 Outpatient surgry, prv 2 yrs
R5OUTPT:W5 Outpatient surgry, prv 2 yrs
R6OUTPT:W6 Outpatient surgry, prv 2 yrs
R7OUTPT:W7 Outpatient surgry, prv 2 yrs
R8OUTPT:W8 Outpatient surgry, prv 2 yrs
R9OUTPT:W9 Outpatient surgry, prv 2 yrs
R10OUTPT:W10 Outpatient surgry, prv 2 yrs
R11OUTPT:W11 Outpatient surgry, prv 2 yrs
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2OUTPT
S3OUTPT
S4OUTPT
S5OUTPT
S6OUTPT
S7OUTPT
S8OUTPT
S9OUTPT
S10OUTPT
S11OUTPT
S2OUTPT:W2 OutpatSurg, prv 1-,2-yr(A,H)
S3OUTPT:W3 Outpatient surgry, prv 2 yrs
S4OUTPT:W4 Outpatient surgry, prv 2 yrs
S5OUTPT:W5 Outpatient surgry, prv 2 yrs
S6OUTPT:W6 Outpatient surgry, prv 2 yrs
S7OUTPT:W7 Outpatient surgry, prv 2 yrs
S8OUTPT:W8 Outpatient surgry, prv 2 yrs
S9OUTPT:W9 Outpatient surgry, prv 2 yrs
S10OUTPT:W10 Outpatient surgry, prv 2 yrs
S11OUTPT:W11 Outpatient surgry, prv 2 yrs
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2DENTST
R3DENTST
R4DENTST
R5DENTST
R6DENTST
R7DENTST
R8DENTST
R9DENTST
R10DENTST
R11DENTST
R2DENTST:W2 DentVisit, prv 1-,2-yr(A,H)
R3DENTST:W3 Dental visit, prv 2 yrs
R4DENTST:W4 Dental visit, prv 2 yrs
R5DENTST:W5 Dental visit, prv 2 yrs
R6DENTST:W6 Dental visit, prv 2 yrs
R7DENTST:W7 Dental visit, prv 2 yrs
R8DENTST:W8 Dental visit, prv 2 yrs
R9DENTST:W9 Dental visit, prv 2 yrs
R10DENTST:W10 Dental visit, prv 2 yrs
R11DENTST:W11 Dental visit, prv 2 yrs
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
S2DENTST
S3DENTST
S2DENTST:W2 DentVisit, prv 1-,2-yr(A,H)
S3DENTST:W3 Dental visit, prv 2 yrs
Categ
Categ
Section B: Health
257
4
5
6
7
8
9
10
11
S4DENTST
S5DENTST
S6DENTST
S7DENTST
S8DENTST
S9DENTST
S10DENTST
S11DENTST
S4DENTST:W4 Dental visit, prv 2
S5DENTST:W5 Dental visit, prv 2
S6DENTST:W6 Dental visit, prv 2
S7DENTST:W7 Dental visit, prv 2
S8DENTST:W8 Dental visit, prv 2
S9DENTST:W9 Dental visit, prv 2
S10DENTST:W10 Dental visit, prv
S11DENTST:W11 Dental visit, prv
yrs
yrs
yrs
yrs
yrs
yrs
2 yrs
2 yrs
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2SPCFAC
R3SPCFAC
R4SPCFAC
R5SPCFAC
R6SPCFAC
R7SPCFAC
R8SPCFAC
R9SPCFAC
R10SPCFAC
R11SPCFAC
R2SPCFAC:W2 SpcHlthFac, prv 1-,2-yr(A,H)
R3SPCFAC:W3 Spec hlth facilty, prv 2 yrs
R4SPCFAC:W4 Spec hlth facilty, prv 2 yrs
R5SPCFAC:W5 Spec hlth facilty, prv 2 yrs
R6SPCFAC:W6 Spec hlth facilty, prv 2 yrs
R7SPCFAC:W7 Spec hlth facilty, prv 2 yrs
R8SPCFAC:W8 Spec hlth facilty, prv 2 yrs
R9SPCFAC:W9 Spec hlth facilty, prv 2 yrs
R10SPCFAC:W10 Spec hlth facilty, prv 2 yrs
R11SPCFAC:W11 Spec hlth facilty, prv 2 yrs
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2SPCFAC
S3SPCFAC
S4SPCFAC
S5SPCFAC
S6SPCFAC
S7SPCFAC
S8SPCFAC
S9SPCFAC
S10SPCFAC
S11SPCFAC
S2SPCFAC:W2 SpcHlthFac, prv 1-,2-yr(A,H)
S3SPCFAC:W3 Spec hlth facilty, prv 2 yrs
S4SPCFAC:W4 Spec hlth facilty, prv 2 yrs
S5SPCFAC:W5 Spec hlth facilty, prv 2 yrs
S6SPCFAC:W6 Spec hlth facilty, prv 2 yrs
S7SPCFAC:W7 Spec hlth facilty, prv 2 yrs
S8SPCFAC:W8 Spec hlth facilty, prv 2 yrs
S9SPCFAC:W9 Spec hlth facilty, prv 2 yrs
S10SPCFAC:W10 Spec hlth facilty, prv 2 yrs
S11SPCFAC:W11 Spec hlth facilty, prv 2 yrs
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R2DRUGS
R3DRUGS
R4DRUGS
R5DRUGS
R6DRUGS
R7DRUGS
R8DRUGS
R9DRUGS
R10DRUGS
R11DRUGS
19792
17952
21351
19547
18147
20092
18451
17199
21874
20512
0.70
0.69
0.73
0.78
0.81
0.79
0.82
0.84
0.80
0.81
0.46
0.46
0.44
0.42
0.39
0.41
0.38
0.37
0.40
0.39
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2DRUGS
S3DRUGS
S4DRUGS
S5DRUGS
S6DRUGS
S7DRUGS
S8DRUGS
S9DRUGS
S10DRUGS
S11DRUGS
13274
11905
13967
12722
11634
12957
11727
10639
13421
12476
0.67
0.67
0.71
0.76
0.80
0.78
0.80
0.83
0.78
0.80
0.47
0.47
0.45
0.42
0.40
0.42
0.40
0.38
0.41
0.40
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2OUTPT
R3OUTPT
R4OUTPT
R5OUTPT
R6OUTPT
R7OUTPT
8217
17939
21349
19542
18120
20076
0.14
0.17
0.19
0.18
0.20
0.21
0.34
0.38
0.39
0.38
0.40
0.40
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
Section B: Health
258
R8OUTPT
R9OUTPT
R10OUTPT
R11OUTPT
18425
17155
21702
20450
0.21
0.21
0.21
0.18
0.41
0.41
0.41
0.38
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
S2OUTPT
S3OUTPT
S4OUTPT
S5OUTPT
S6OUTPT
S7OUTPT
S8OUTPT
S9OUTPT
S10OUTPT
S11OUTPT
4548
11895
13964
12718
11618
12949
11716
10617
13333
12453
0.14
0.18
0.19
0.19
0.21
0.21
0.22
0.21
0.21
0.19
0.35
0.38
0.39
0.39
0.41
0.41
0.41
0.41
0.41
0.39
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2DENTST
R3DENTST
R4DENTST
R5DENTST
R6DENTST
R7DENTST
R8DENTST
R9DENTST
R10DENTST
R11DENTST
8216
17941
21340
19532
18101
20064
18411
17164
21725
20444
0.45
0.60
0.62
0.61
0.59
0.63
0.63
0.63
0.63
0.61
0.50
0.49
0.49
0.49
0.49
0.48
0.48
0.48
0.48
0.49
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2DENTST
S3DENTST
S4DENTST
S5DENTST
S6DENTST
S7DENTST
S8DENTST
S9DENTST
S10DENTST
S11DENTST
4546
11895
13963
12714
11615
12949
11716
10624
13346
12456
0.50
0.65
0.67
0.67
0.65
0.68
0.68
0.68
0.67
0.65
0.50
0.48
0.47
0.47
0.48
0.47
0.47
0.47
0.47
0.48
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2SPCFAC
R3SPCFAC
R4SPCFAC
R5SPCFAC
R6SPCFAC
R7SPCFAC
R8SPCFAC
R9SPCFAC
R10SPCFAC
R11SPCFAC
8168
17647
20932
19076
18126
20084
18424
17169
21728
20465
0.08
0.06
0.07
0.07
0.08
0.08
0.09
0.09
0.17
0.15
0.27
0.24
0.26
0.25
0.27
0.28
0.29
0.29
0.37
0.36
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2SPCFAC
S3SPCFAC
S4SPCFAC
S5SPCFAC
S6SPCFAC
S7SPCFAC
S8SPCFAC
S9SPCFAC
S10SPCFAC
S11SPCFAC
4503
11817
13885
12622
11623
12960
11726
10632
13348
12464
0.04
0.05
0.06
0.05
0.07
0.07
0.08
0.08
0.15
0.14
0.21
0.21
0.24
0.22
0.25
0.25
0.27
0.27
0.36
0.34
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Categorical Variable Codes
Section B: Health
259
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
0.no
|
1.yes
|
R2DRUGS
19
4
2
5970
13822
R3DRUGS
5
32
2
5561
12391
R4DRUGS
9
21
3
5801
15550
R5DRUGS
7
22
3
4378
15169
R6DRUGS
5
7
6
3459
14688
R7DRUGS
4
22
11
4196
15896
R8DRUGS
4
9
5
3330
15121
R9DRUGS
4
8
6
2766
14433
R10DRUGS
2
147
11
4473
17401
R11DRUGS
3
34
5
3865
16647
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
0.no
|
1.yes
|
S2DRUGS
9
4
1
5970
384
4418
8856
S3DRUGS
S5DRUGS
2
5
1
6538
311
3003
9719
S6DRUGS
5658
418
3919
7986
S4DRUGS
4
6
1
6869
537
4021
9946
2
3
6306
220
2365
9269
S7DRUGS
1
5
9
6777
380
2903
10054
S8DRUGS
1
3
4
6417
317
2295
9432
S9DRUGS
1
1
5
6206
365
1849
8790
S10DRUGS
1
90
5
7795
722
2938
10483
S11DRUGS
1
11
2
7473
591
2529
9947
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wave
|
.R=RF
|
0.no
|
1.yes
|
R2OUTPT
4
1
11420
R3OUTPT
18
32
R4OUTPT
11
20
R5OUTPT
11
22
R6OUTPT
23
15
R7OUTPT
23
21
R8OUTPT
24
17
R9OUTPT
39
17
R10OUTPT
56
264
R11OUTPT
35
64
2
14843
3096
4
17334
4015
4
16044
3498
7
14451
3669
9
15946
4130
3
14490
3935
6
13586
3569
12
17160
4542
5
16768
3682
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wave
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
0.no
|
1.yes
|
S2OUTPT
S3OUTPT
9
11
S4OUTPT
8
6
S5OUTPT
5
5
S6OUTPT
12
5
S7OUTPT
12
4
S8OUTPT
14
3
S9OUTPT
21
4
S10OUTPT
25
150
S11OUTPT
14
19
5658
418
9790
2105
6869
537
11287
2677
2
6538
311
10348
2370
4
6306
220
9175
2443
7
6777
380
10200
2749
2
6417
317
9153
2563
4
6206
365
8362
2255
9
7795
722
10473
2860
4
7473
591
10118
2335
7086
1131
1
9123
5970
3893
655
10
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wave
|
.R=RF
|
0.no
|
1.yes
|
R2DENTST R3DENTST R4DENTST
5
17
22
1
32
20
11420
1
2
4518
7184
8134
3698
10757
13206
R5DENTST R6DENTST R7DENTST R8DENTST R9DENTST
23
39
35
35
28
22
15
21
17
19
R10DENTST R11DENTST
27
39
264
64
2
7583
11949
18
7983
13742
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wave
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
0.no
|
1.yes
|
S2DENTST S3DENTST S4DENTST S5DENTST S6DENTST
2
10
9
10
13
1
10
6
5
5
9123
1
6
5970
5658
6869
6538
6306
418
537
311
220
2290
4173
4623
4259
4085
2256
7722
9340
8455
7530
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wave
|
.R=RF
|
0.no
|
1.yes
|
R2SPCFAC
1
52
11420
1
7520
648
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wave
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
0.no
|
1.yes
|
S2SPCFAC S3SPCFAC
2
24
95
9123
1
5970
5658
22
418
4304
11250
199
567
10
7343
10758
9
7497
12567
6
6890
11521
6
6428
10736
7
8056
12388
S7DENTST S8DENTST S9DENTST
14
14
14
4
3
5
S10DENTST S11DENTST
10
12
150
19
5
6777
380
4164
8785
11
7795
722
4352
8994
2
6417
317
3805
7911
3
6206
365
3426
7198
3
7473
591
4364
8092
R3SPCFAC R4SPCFAC R5SPCFAC R6SPCFAC R7SPCFAC R8SPCFAC R9SPCFAC
6
3
15
14
19
20
335
449
499
15
22
18
19
R10SPCFAC R11SPCFAC
25
20
266
65
3
16535
1112
15
18061
3667
3
19449
1483
1
17788
1288
9
16706
1420
9
18391
1693
8
16674
1750
9
15546
1623
S4SPCFAC S5SPCFAC S6SPCFAC S7SPCFAC S8SPCFAC S9SPCFAC
1
7
3
3
5
93
107
5
5
3
5
6869
537
13067
818
6538
311
11958
664
4
6306
220
10850
773
4
6777
380
12065
895
3
6417
317
10804
922
4
6206
365
9804
828
4
17348
3117
S10SPCFAC S11SPCFAC
11
5
150
19
8
7795
722
11290
2058
2
7473
591
10773
1691
How Constructed:
RwOUTPT, RwDENTST, RwSPCFAC and RwDRUGS, indicate whether the respondent reports outpatient surgery,
dental visits, use of special facilities or services, or regular use of prescription drugs during the
reference period. In Wave 2A the reference period is 12 months; in subsequent waves it is the period
since the last interview, or the last 2 years for new interviewees.
SwDRUGS, SwOUTPT, SwDENTST, and SwSPCFAC give this information for the respondent's spouse or partner.
Section B: Health
260
In Wave 1, questions ask about hospital and nursing home stays, doctor visits, and home health care.
Wave 2H, questions are added that ask about prescription drugs. In Wave 2A and from Wave 3 forward,
questions are added that ask about outpatient surgery, dentist, and special facilities or services.
In
These medical care utilization variables are recoded as yes/no indicators and for missing values.
In Wave 2A, the question about outpatient surgery, dental visits, or regular use of prescription drugs
was asked of financial and non-financial respondents. When information is available for both respondent
types, the FinR's HH-level information may not agree with the information given by individual
respondents, in all cases. If there is any disagreement, the respondent's own report is used. Where
necessary and possible, we use HH level data to fill missing spouse/partners' information. Only the
Financial respondent was asked to answer whether himself/herself, partner or both have any use of special
facilities or services. If Financial respondent answer 'himself/herself' or 'both' then R2SPCFAC set to
1 for yes.
In Wave 2A, the S2DRUGS, S2OUTPT, S2DENTST is taken from spouses' or HH-level response. For all other
waves, the spouse variables are taken from the Wave 'w' spouse's self-reported information, e.g., S3OUTPT
is taken from the Wave 3 spouse's R3OUTPT variable.
Cross Wave Differences in Original HRS Data
The questions about medical service utilization vary across waves. Wave 1 and 2A questions ask about the
last 12 months, while questions in other waves ask about the period since the previous interview or the
last 2 years.
In Wave 1, questions ask about hospital and nursing home stays, doctor visits, and home health care.
Wave 2H, questions are added that ask about prescription drugs. In Wave 2A and from Wave 3 forward,
questions are added that ask about outpatient surgery, dentist, and special facilities or services.
In
In Wave 2A, the Financial respondent was asked the medical utilization and expenditure questions, which
differs from all other waves. Questions asked only of the FinR yield HH-level data, and those asked of
all respondents yield respondent-level data. Note that when both levels are available the FinR's HHlevel information may not agree with the information given by individual respondents in all cases. If
there is any disagreement, the respondent's own report is used. Where necessary and possible for
utilization variables, we use HH level data to fill missing spouse/partners' information.
For prescription drugs, the Wave 2H question asks if the respondent regularly purchases medications
prescribed for him/her by a doctor. In Wave 2A and from Wave 3 on, the question asks if the respondent
regularly takes prescription medications. From Wave 4 forward, if R reported taking drugs when asked
about health conditions, the question is not asked, but the variable is filled indicating the use of
prescription drugs (Medications Known - Assigned).
From Wave 2A and Wave 3 on, questions are added which ask if the respondent has seen a dentist for dental
care including dentures; had outpatient surgery, not counting hospital stays; and used any special
facility or service not already asked about, such as an adult care center, a social worker, an outpatient
rehabilitation program, or transportation or meals for the elderly or disabled. These questions are not
asked in Waves 1 and 2H. In Wave 2A, only the Financial respondent was asked to answer either
himself/herself, partner or both used special facilities or services.
HRS Variables Used
AHEAD 1993:
B654R
B669R
B685R
B715
HRS 1994:
W433
AHEAD 1995:
D1713
D1728
E14.
E17.
E20.
E24.
R OUTPATIENT SURGERY LAST 12 MOS
R DENTIST LAST 12 MOS
R TAKEN MEDS LAST 12 MOS
R/SP USE OTHER SERVICE LAST 12 MOS
B33-1a.PURCHASE MEDICATI
E14. OUTPATIENT SURGERY
E17. DENTIST
Section B: Health
HRS
HRS
HRS
HRS
HRS
HRS
HRS
HRS
HRS
D1744
D1774
1996:
E1795
E1800
E1811
E1831
1998:
F2333
F2335
F2345
F2361
2000:
G2610
G2612
G2622
G2638
2002:
HN134
HN164
HN175
HN202
2004:
JN134
JN164
JN175
JN202
2006:
KN134
KN164
KN175
KN202
2008:
LN134
LN164
LN175
LN202
2010:
MN134
MN164
MN175
MN202
2012:
NN134
NN164
NN175
NN202
261
E20. DRUGS
E24.R USE SERVICE
E14. OUTPATIENT SURGERY-YR
E17.DENTIST-YR
E20. DRUGS-YR
E24.R USE SERVICE
E14. OUTPATIENT SURGERY-YR
E17.DENTIST-YR
E20. DRUGS-YR
E24.R USE SERVICE
E14. OUTPATIENT SURGERY-YR
E17.DENTIST-YR
E20. DRUGS-YR
E24.R USE SERVICE
OUTPATIENT SURGERY- PREV IW/2 YRS
SEEN DENTIST SINCE PREV IW/2YRS
TAKE PRESCRIPTION DRUGS REGULARLY
USED OTHER HEALTH SVC- PREV IW/2 YRS
OUTPATIENT SURGERY- PREV IW/2 YRS
SEEN DENTIST SINCE PREV IW/2YRS
TAKE PRESCRIPTION DRUGS REGULARLY
USED OTHER HEALTH SVC- PREV IW/2 YRS
OUTPATIENT SURGERY- PREV IW/2 YRS
SEEN DENTIST SINCE PREV IW/2YRS
TAKE RX DRUGS REGULARLY
USED OTHER HEALTH SVC- PREV IW/2 YRS
OUTPATIENT SURGERY- PREV IW/2 YRS
SEEN DENTIST SINCE PREV IW/2YRS
TAKE RX DRUGS REGULARLY
USED OTHER HEALTH SVC- PREV IW/2 YRS
OUTPATIENT SURGERY- PREV IW/2 YRS
SEEN DENTIST SINCE PREV IW/2YRS
TAKE RX DRUGS REGULARLY
USED OTHER HEALTH SVC- PREV IW/2 YRS
OUTPATIENT SURGERY- PREV IW/2 YRS
SEEN DENTIST SINCE PREV IW/2YRS
TAKE RX DRUGS REGULARLY
USED OTHER HEALTH SVC- PREV IW/2 YRS
Section B: Health
262
Medical expenditures: Out of Pocket and Total
Wave
Variable
Label
Type
2
H2OOPMD
H2OOPMD:W2 HH OOP med exp, prv 12 mos
Cont
1
2
3
4
5
6
7
8
9
10
11
R1OOPMD
R2OOPMD
R3OOPMD
R4OOPMD
R5OOPMD
R6OOPMD
R7OOPMD
R8OOPMD
R9OOPMD
R10OOPMD
R11OOPMD
R1OOPMD:W1 Out of pkt med exp, prv 12 mos
R2OOPMD:W2 OOP med exp, prv 1-,2-yr(A,H)
R3OOPMD:W3 Out of pkt med exp, prv 2 yrs
R4OOPMD:W4 Out of pkt med exp, prv 2 yrs
R5OOPMD:W5 Out of pkt med exp, prv 2 yrs
R6OOPMD:W6 Out of pkt med exp, prv 2 yrs
R7OOPMD:W7 Out of pkt med exp, prv 2 yrs
R8OOPMD:W8 Out of pkt med exp, prv 2 yrs
R9OOPMD:W9 Out of pkt med exp, prv 2 yrs
R10OOPMD:W10 Out of pkt med exp, prv 2 yrs
R11OOPMD:W11 Out of pkt med exp, prv 2 yrs
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
S1OOPMD
S2OOPMD
S3OOPMD
S4OOPMD
S5OOPMD
S6OOPMD
S7OOPMD
S8OOPMD
S9OOPMD
S10OOPMD
S11OOPMD
S1OOPMD:W1 Out of pkt med exp, prv 12 mos
S2OOPMD:W2 OOP med exp, prv 1-,2-yr(A,H)
S3OOPMD:W3 Out of pkt med exp, prv 2 yrs
S4OOPMD:W4 Out of pkt med exp, prv 2 yrs
S5OOPMD:W5 Out of pkt med exp, prv 2 yrs
S6OOPMD:W6 Out of pkt med exp, prv 2 yrs
S7OOPMD:W7 Out of pkt med exp, prv 2 yrs
S8OOPMD:W8 Out of pkt med exp, prv 2 yrs
S9OOPMD:W9 Out of pkt med exp, prv 2 yrs
S10OOPMD:W10 Out of pkt med exp, prv 2 yrs
S11OOPMD:W11 Out of pkt med exp, prv 2 yrs
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
2
H2OOPMDF
H2OOPMDF:W2 HH Out of pkt imputed
Categ
1
2
3
4
5
6
7
8
9
10
11
R1OOPMDF
R2OOPMDF
R3OOPMDF
R4OOPMDF
R5OOPMDF
R6OOPMDF
R7OOPMDF
R8OOPMDF
R9OOPMDF
R10OOPMDF
R11OOPMDF
R1OOPMDF:W1 Out of pkt imputed
R2OOPMDF:W2 Out of pkt imputed
R3OOPMDF:W3 Out of pkt imputed
R4OOPMDF:W4 Out of pkt imputed
R5OOPMDF:W5 Out of pkt imputed
R6OOPMDF:W6 Out of pkt imputed
R7OOPMDF:W7 Out of pkt imputed
R8OOPMDF:W8 Out of pkt imputed
R9OOPMDF:W9 Out of pkt imputed
R10OOPMDF:W10 Out of pkt imputed
R11OOPMDF:W11 Out of pkt imputed
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1OOPMDF
S2OOPMDF
S3OOPMDF
S4OOPMDF
S5OOPMDF
S6OOPMDF
S7OOPMDF
S8OOPMDF
S9OOPMDF
S10OOPMDF
S11OOPMDF
S1OOPMDF:W1 Out of pkt imputed
S2OOPMDF:W2 Out of pkt imputed
S3OOPMDF:W3 Out of pkt imputed
S4OOPMDF:W4 Out of pkt imputed
S5OOPMDF:W5 Out of pkt imputed
S6OOPMDF:W6 Out of pkt imputed
S7OOPMDF:W7 Out of pkt imputed
S8OOPMDF:W8 Out of pkt imputed
S9OOPMDF:W9 Out of pkt imputed
S10OOPMDF:W10 Out of pkt imputed
S11OOPMDF:W11 Out of pkt imputed
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
H2OOPMA
H2OOPMA:W2 HH OOP MedExp for all,prv 12 mos
Cont
2
H2OOPMAF
H2OOPMAF:W2 HH OOP imputed for all
Categ
3
R3TOTMB
R3TOTMB:W3 Tot Med Exp Bkt, prv 2-yrs
Categ
Section B: Health
263
4
5
6
R4TOTMB
R5TOTMB
R6TOTMB
R4TOTMB:W4 Tot Med Exp Bkt, prv 2-yrs
R5TOTMB:W5 Tot Med Exp Bkt, prv 2-yrs
R6TOTMB:W6 Tot Med Exp Bkt, prv 2-yrs
Categ
Categ
Categ
3
4
5
6
S3TOTMB
S4TOTMB
S5TOTMB
S6TOTMB
S3TOTMB:W3
S4TOTMB:W4
S5TOTMB:W5
S6TOTMB:W6
3
4
5
6
R3TOTMBI
R4TOTMBI
R5TOTMBI
R6TOTMBI
R3TOTMBI:W3
R4TOTMBI:W4
R5TOTMBI:W5
R6TOTMBI:W6
Imputed
Imputed
Imputed
Imputed
Tot
Tot
Tot
Tot
3
4
5
6
S3TOTMBI
S4TOTMBI
S5TOTMBI
S6TOTMBI
S3TOTMBI:W3
S4TOTMBI:W4
S5TOTMBI:W5
S6TOTMBI:W6
Imputed
Imputed
Imputed
Imputed
3
4
5
6
R3TOTMBF
R4TOTMBF
R5TOTMBF
R6TOTMBF
R3TOTMBF:W3
R4TOTMBF:W4
R5TOTMBF:W5
R6TOTMBF:W6
Tot
Tot
Tot
Tot
3
4
5
6
S3TOTMBF
S4TOTMBF
S5TOTMBF
S6TOTMBF
S3TOTMBF:W3
S4TOTMBF:W4
S5TOTMBF:W5
S6TOTMBF:W6
Tot
Tot
Tot
Tot
8
R8PARTD
R8PARTD:W8 Medicare Part D status
Categ
8
S8PARTD
S8PARTD:W8 Medicare Part D status
Categ
Tot
Tot
Tot
Tot
Med
Med
Med
Med
Exp
Exp
Exp
Exp
Bkt,
Bkt,
Bkt,
Bkt,
prv
prv
prv
prv
2-yrs
2-yrs
2-yrs
2-yrs
Categ
Categ
Categ
Categ
Med
Med
Med
Med
Exp
Exp
Exp
Exp
Bkt
Bkt
Bkt
Bkt
Categ
Categ
Categ
Categ
Tot
Tot
Tot
Tot
Med
Med
Med
Med
Exp
Exp
Exp
Exp
Bkt
Bkt
Bkt
Bkt
Categ
Categ
Categ
Categ
Med
Med
Med
Med
Exp
Exp
Exp
Exp
Bkt,
Bkt,
Bkt,
Bkt,
ImpFlag
ImpFlag
ImpFlag
ImpFlag
Categ
Categ
Categ
Categ
Med
Med
Med
Med
Exp
Exp
Exp
Exp
Bkt,
Bkt,
Bkt,
Bkt,
ImpFlag
ImpFlag
ImpFlag
ImpFlag
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
H2OOPMD
N
Mean
Std Dev
Minimum
Maximum
8222
966.81
2629.93
0.0
60400.0
R1OOPMD
R2OOPMD
R3OOPMD
R4OOPMD
R5OOPMD
R6OOPMD
R7OOPMD
R8OOPMD
R9OOPMD
R10OOPMD
R11OOPMD
12652
19817
17991
21384
19579
18165
20129
18469
17217
22034
20554
1317.25
1162.05
2293.46
2239.05
2492.13
3838.38
4458.24
3549.88
3400.18
3592.08
3539.03
3789.91
3574.81
7075.11
6401.20
6993.08
14961.83
16754.47
9391.28
10135.18
10042.73
9288.10
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
118802.7
115479.1
286516.1
207742.4
230800.0
1206575.0
840000.0
289210.0
471640.0
604278.0
217161.1
S1OOPMD
S2OOPMD
S3OOPMD
S4OOPMD
S5OOPMD
S6OOPMD
S7OOPMD
S8OOPMD
S9OOPMD
S10OOPMD
S11OOPMD
9900
13288
11915
13978
12730
11639
12972
11735
10646
13517
12490
1320.80
1226.01
2173.09
2036.47
2198.35
3402.52
4046.80
3222.59
3055.17
3418.37
3299.56
3762.74
3811.04
6099.58
5168.28
5419.33
14284.42
14649.29
7586.17
7000.65
8753.57
7694.04
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
118802.7
115479.1
255350.0
132500.0
230800.0
1206575.0
840000.0
289210.0
270050.0
604278.0
207300.0
Section B: Health
H2OOPMDF
264
8222
0.20
0.40
0.0
1.0
R1OOPMDF
R2OOPMDF
R3OOPMDF
R4OOPMDF
R5OOPMDF
R6OOPMDF
R7OOPMDF
R8OOPMDF
R9OOPMDF
R10OOPMDF
R11OOPMDF
12652
19817
17991
21384
19579
18165
20129
18469
17217
22034
20554
1.00
0.93
0.23
0.18
0.16
0.23
0.20
0.21
0.19
0.16
0.17
0.00
0.57
0.42
0.38
0.36
0.42
0.40
0.41
0.39
0.37
0.37
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
2.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S1OOPMDF
S2OOPMDF
S3OOPMDF
S4OOPMDF
S5OOPMDF
S6OOPMDF
S7OOPMDF
S8OOPMDF
S9OOPMDF
S10OOPMDF
S11OOPMDF
9900
13288
11915
13978
12730
11639
12972
11735
10646
13517
12490
1.00
1.12
0.22
0.17
0.16
0.23
0.20
0.21
0.18
0.15
0.16
0.00
0.51
0.42
0.38
0.36
0.42
0.40
0.41
0.39
0.36
0.36
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
2.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
H2OOPMA
8222
1031.26
2719.79
0.0
60400.0
H2OOPMAF
8222
0.23
0.42
0.0
1.0
R3TOTMB
R4TOTMB
R5TOTMB
R6TOTMB
17363
20777
19070
17747
4.40
6.02
6.15
8.58
4.69
7.11
6.97
8.72
1.0
1.0
1.0
1.0
26.0
26.0
26.0
26.0
S3TOTMB
S4TOTMB
S5TOTMB
S6TOTMB
11519
13610
12437
11387
4.08
5.59
5.65
8.38
4.19
6.70
6.49
8.70
1.0
1.0
1.0
1.0
26.0
26.0
26.0
26.0
R3TOTMBI
R4TOTMBI
R5TOTMBI
R6TOTMBI
17363
20777
19070
17747
3.45
3.56
3.78
4.27
2.01
2.01
2.06
2.21
1.0
1.0
1.0
1.0
11.0
11.0
11.0
11.0
S3TOTMBI
S4TOTMBI
S5TOTMBI
S6TOTMBI
11519
13610
12437
11387
3.36
3.48
3.67
4.15
1.95
1.97
2.00
2.15
1.0
1.0
1.0
1.0
11.0
11.0
11.0
11.0
R3TOTMBF
R4TOTMBF
R5TOTMBF
R6TOTMBF
17363
20777
19070
17747
0.05
0.11
0.11
0.21
0.21
0.32
0.32
0.41
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
S3TOTMBF
S4TOTMBF
S5TOTMBF
S6TOTMBF
11519
13610
12437
11387
0.03
0.10
0.09
0.20
0.18
0.30
0.29
0.40
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
R8PARTD
18469
0.41
0.73
0.0
2.0
S8PARTD
11735
0.34
0.69
0.0
2.0
Section B: Health
265
Categorical Variable Codes
Value----------------------|
.Q=Not asked this wv
|
0.Not imputed
|
1.Imputed
|
H2OOPMDF
11420
6545
1677
Value----------------------|R1OOPMDF
0.Not imputed
|
1.Imputed
|12652
2.Couple allocation
|
R2OOPMDF R3OOPMDF R4OOPMDF R5OOPMDF R6OOPMDF R7OOPMDF R8OOPMDF R9OOPMDF
3945
13817
17601
16486
13964
16097
14537
13891
13266
4174
3783
3093
4201
4032
3932
3326
2606
R10OOPMDF R11OOPMDF
18476
17140
3558
3414
Value----------------------|S1OOPMDF
.U=Unmar
|2373
.V=Sp NR
|379
0.Not imputed
|
1.Imputed
|9900
2.Couple allocation
|
S2OOPMDF
5970
384
1026
9658
2604
S10OOPMDF
7795
722
11474
2043
Value----------------------|
.Q=Not asked this wv
|
0.Not imputed
|
1.Imputed
|
H2OOPMAF
11420
6300
1922
S3OOPMDF
5658
418
9242
2673
S4OOPMDF
6869
537
11539
2439
S5OOPMDF
6538
311
10736
1994
S6OOPMDF
6306
220
9019
2620
Value----------------------|
.N : no utilization
|
1 : 0 to 1000|
2 : about 1000
|
3 : 1001 to 5000|
4 : about 5000
|
5 : 5001 to 25000|
6 : about 25000
|
7 : 25001 to 100000|
8 : about 100000
|
9 : 100001 to 500000|
10: about 500000
|
11: 500000 above
|
12 : 0 - 5000|
13 : 0 - 25000|
14 : 0 - 100000|
19 : 1001 above
|
22 : 5001 above
|
24 : 25001 above
|
25 : 100001 above
|
26 : No bracket reported
|
R3TOTMB
628
4121
339
5734
234
4308
39
1476
26
276
R4TOTMB
607
4060
1134
5205
1308
4124
583
1531
148
259
24
19
90
66
R5TOTMB
509
3177
1022
4654
1332
3929
603
1614
215
287
19
34
73
91
R6TOTMB
418
2036
725
3161
1132
3688
655
1787
264
462
37
84
82
67
113
51
85
54
9
2027
89
108
70
10
1743
Value----------------------|
.N : no utilization
|
.U=Unmar
|
.V=Sp NR
|
1 : 0 to 1000|
2 : about 1000
|
3 : 1001 to 5000|
4 : about 5000
|
5 : 5001 to 25000|
6 : about 25000
|
7 : 25001 to 100000|
8 : about 100000
|
9 : 100001 to 500000|
10: about 500000
|
11: 500000 above
|
12 : 0 - 5000|
13 : 0 - 25000|
14 : 0 - 100000|
19 : 1001 above
|
22 : 5001 above
|
24 : 25001 above
|
25 : 100001 above
|
26 : No bracket reported
|
S3TOTMB
396
5658
418
2849
270
3962
175
2791
31
864
23
163
S4TOTMB
368
6869
537
2808
757
3616
848
2705
346
942
81
163
11
10
46
37
S5TOTMB
293
6538
311
2207
667
3276
864
2631
354
960
122
163
11
13
37
41
49
24
1
262
13
40
27
6
1154
45
42
27
8
969
28
170
9
1956
Value----------------------|
.N : no utilization
|
1 : 0 to 1000|
2 : about 1000
|
3 : 1001 to 5000|
4 : about 5000
|
5 : 5001 to 25000|
6 : about 25000
|
R3TOTMBI
628
4424
686
5544
638
4092
140
R4TOTMBI
607
4677
1299
5897
1455
4586
636
R5TOTMBI
509
3621
1177
5261
1480
4376
681
R6TOTMBI
418
2619
931
4018
1409
4528
788
25
96
131
41
8
509
10
45
58
360
27
3009
S6TOTMB
252
6306
220
1357
488
2141
759
2430
392
1041
149
261
22
51
47
31
55
S7OOPMDF
6777
380
10421
2551
S8OOPMDF
6417
317
9277
2458
S9OOPMDF
6206
365
8694
1952
S11OOPMDF
7473
591
10534
1956
Section B: Health
7 :
8 :
9 :
10:
11:
25001 to 100000about 100000
100001 to 500000about 500000
500000 above
266
|
|
|
|
|
1475
67
267
30
1708
168
303
26
22
1817
247
341
23
46
2357
342
585
49
121
S5TOTMBI
293
6538
311
2479
759
3606
949
2854
395
1035
139
191
12
18
S6TOTMBI
252
6306
220
1746
624
2699
960
2956
474
1330
183
324
28
63
Value----------------------|
.N : no utilization
|
.U=Unmar
|
.V=Sp NR
|
1 : 0 to 1000|
2 : about 1000
|
3 : 1001 to 5000|
4 : about 5000
|
5 : 5001 to 25000|
6 : about 25000
|
7 : 25001 to 100000|
8 : about 100000
|
9 : 100001 to 500000|
10: about 500000
|
11: 500000 above
|
S3TOTMBI
396
5658
418
2974
528
3804
454
2599
98
854
52
145
11
S4TOTMBI
368
6869
537
3183
856
4024
925
2944
370
1012
91
183
11
11
Value----------------------|
.N=No utilization
|
0.Not imputed
|
1.Imputed
|
R3TOTMBF
628
16578
785
R4TOTMBF
607
18395
2382
R5TOTMBF
509
16886
2184
R6TOTMBF
418
14031
3716
Value----------------------|
.N=No utilization
|
.U=Unmar
|
.V=Sp NR
|
0.Not imputed
|
1.Imputed
|
S3TOTMBF
396
5658
418
11138
381
S4TOTMBF
368
6869
537
12287
1323
S5TOTMBF
293
6538
311
11268
1169
S6TOTMBF
252
6306
220
9091
2296
Value----------------------|
0.No part D
|
1.Part D but no change
|
2.Part D and change in use |
R8PARTD
13602
2180
2687
Value----------------------|
.U=Unmar
|
.V=Sp NR
|
0.No part D
|
1.Part D but no change
|
2.Part D and change in use |
S8PARTD
6417
317
9159
1142
1434
How Constructed:
RwOOPMD is the total out of pocket medical expenditure in the reference period. In Wave 1 and 2A the
reference period is 12 months; in other waves it is the period since the last interview, or the last 2
years for new interviewees. RwTOTMB provides the estimated bracket for total medical expenditure,
including that paid by insurance. This information is obtained from unfolding bracket questions, except
if a continuous estimate is given in Wave 3H. In that case, RwTOTMB and RwTOTMBI provide the same, but
with incomplete brackets imputed. RwOOPMDF and RwTOTMBF indicate whether RwOOPMD and RwTOTMBI are
imputed. RwTOTMB, RwTOTMBI, and RwTOTMBF are available from Wave 3 to Wave 6.
SwOOPMD, SwOOPMDF, SwTOTMB, SwTOTMBI and SwTOTMBF are this information for the respondent's spouse or
partner.
H2OOPMD, H2OOPMDF, H2OOPMA, H2OOPMAF are the total out of pocket medical expenditure at the HH-level.
Total medical expenditures are imputed for all cases in Waves 1, 2.
are imputed for all cases in Waves 1 and 2H.
Out of pocket medical expenditures
In Wave 2A, for out of pocket expenses, only Financial respondent was asked about nursing home costs and
everything else lumped together (excluding nursing home). For nursing home expenditure, we are able to
allocate the expense to either respondent or partner so we can impute this at the individual level. For
out of pocket expense excluding nursing home, it is imputed at the HH-level and then allocated to
individuals. The HH-level imputed values are included in the file(H2OOPMD), along with the individual
level out of pocket expense(R2OOPMD). Also we include an additional variable for total HH-level OOP
medical expenses (H2OOPMA) that include all expenses, not just those for which utilization is explicitly
asked, i.e., to impute using ownership=1 for all HH, regardless of utilization and insurance coverage.
H2OOPMD and H2OOPMA and their imputation flags are set to .Q for Wave 2H.
Section B: Health
267
For out of pocket expenses, all components are imputed separately. In Wave 3A, 4 and 5, the components
are (1) hospital and nursing home costs; (2)doctor, dentist, and outpatient surgery costs; (3)average
monthly prescription drug costs; and (4)home health care and special facilities or services costs.
Beginning in Wave 6, the components are (1) hospital costs; (2) nursing home costs; (3)doctor visits
costs; (4)dentist costs; (5)outpatient surgery costs; (6)average monthly prescription drug costs; (7)
home health care and (8) special facilities cost.
In Wave 8 only, average monthly prescription drug costs can be reported in three places. For those whose
prescription drug use and cost are unaffected by Medicare Part D, the reported or imputed monthly average
is multiplied by 24 months to estimate drug costs for the last two years. For those enrolled in Part D
and whose use or cost changed, the average monthly costs for both before and after Part D are reported or
imputed. The number of months after Part D to the current interview is estimated using January 2006 as
the month Part D begins. Total prescription drug costs for the last two years is derived as the sum of
the number of Part D months is multiplied by the post-Part D average monthly costs plus 24 less that
number is multiplied by the pre-Part D costs. RwPARTD contains the flag for Medicare Part D status. The
RwPARTD variable has the following format: 0=No part D, 1=Part D but no change, 2=Part D and change in
use or cost.
Please see the section titled "Health Care Utilization and Medical Expenditures" earlier in this document
for a description of the imputation method.
A number of covariates are used in the imputations including health insurance as derived for this
file(RwHIGOV, RwCOVR, RwCOVS).
From Wave 3 forward, the out of pocket components are summed. Prescription drugs, which are reported as
a monthly amount, are multiplied by 24 months. All amounts are reported in nominal dollars.
In Wave 2A, the S2OOPMD, S2OOPMDF are taken from spouses' or HH-level response. For all other waves, the
spouse variables are taken from the Wave 'w' spouse's self-reported information, e.g., S3OOPMD is taken
from the Wave 3 spouse's R3OOPMD.
Cross Wave Differences in Original HRS Data
In Wave 1, questions ask about medical utilization in the last 12 months, i.e., hospital and nursing home
stays, doctor visits, and home health care, but there are no questions about medical expenditures.
In Wave 2H, medical utilization questions cover the last 2 years or the period since last interview, and
other questions ask about total costs, out of pocket and including insurance, of hospitals, nursing
homes, and doctors all together.
In Wave 2A, questions ask Financial respondents and individual respondents about medical utilization in
the last 12 months, and other questions ask about out of pocket costs for nursing home and everything
else lumped together (excluding nursing home). Medical expenditure questions are asked only of the
Financial Respondent.
In Waves 3 and forward, medical utilization questions cover the last 2 years or the period since last
interview. In Wave 3, 4 and 5, questions ask about out of pocket costs for hospital/nursing home,
doctors/dentists/outpatient surgery, prescription drugs per month, and in-home medical care/special
facilities, separately.
Beginning in Wave 6, all the questions were asked separately. If the continuous value is not given, then
unfolding bracket questions are asked. To impute missing values falling in the highest bracket range for
nursing home costs, we used the "nearest neighbor" approach rather than the tobit draw usually used for
the open-ended bracket at the top of the distribution (see Amount Imputation in Wealth and Income
Imputations for imputation methodology as well as Health Care Utilization and Medical Expenditures). The
tobit model was a particularly poor fit for the data, and we determined that were no extreme outliers in
the distribution of reported continuous values that would be used as the nearest neighbor donor pool.
Beginning in Wave 7, another value (6) is included as an answer to “Were Outpatient Surgery Costs covered
by Health Insurance? 1)COMPLETELY COVERED; 2)MOSTLY COVERED; 3)PARTIALLY COVERED; 5)NOT COVERED AT ALL;
6)No charge (professional courtesy, friend or relative provided services; part of a study, free clinic,
pro bono); 7)COSTS NOT SETTLED YET”.
Section B: Health
268
In Wave 8, prescription drug expenses are reported differently depending on Medicare Part D experience.
For those who are enrolled in Medicare Part D and report a change in their use or costs of prescription
drugs, two sets of questions are asked, one for the 12 months before Part D coverage, and the other for
the time since being enrolled in Part D. Those not enrolled in Part D or who reported no change in their
drug use or costs are asked the same questions as asked in prior waves.
From Wave 9, all respondents are asked the same questions as in Wave 7.
Beginning with Tracker 2004 V1, HRS implemented a verified nursing home residence flag for each wave,
xNURSHM, e.g., GNURSHM for Wave 5 (2000). From Wave 5 forward, there are cases at each interview where
this information conflicts with nursing home residency reported in the core data cover sheet section. In
the questions about nursing home utilization, a cover-sheet reported nursing home resident is assigned as
Yes for any nursing home stays by default. In some cases where Tracker indicates residence is NOT a
nursing home, the interviewer had over-ridden this with a No for any nursing home stays, but in many
cases this did not occur. We examine these cases for length of stay, residency move-in date, and missing
answers to estimate whether there is any nursing home utilization besides the residency reported in the
core data, which HRS has determined is NOT a nursing home. Please see Medical Care Utilization: Nursing
Home for more details on how these items are assessed.
HRS Variables Used
HRS 1992:
V10533
V10536
V10539
V10541
V533
V536
V539
V541
AHEAD 1993:
B605R
B610
B622R
B627
B629
B629C
B640
B642
B654R
B657
B669R
B672
B685R
B689
B701
B703
B715
B740
B740C
HRS 1994:
W415
W419
W420
W424
AHEAD 1995:
D1664
D1669
D1681
D1686
D1688
D1689B
B45:PST YR:HOSP OVRN:IND
B46:PST YR:EVR IF NR:IND
B47:YR:TIMES W/ DOCT:IND
B49:PST YR:PRO NURS :IND
B45:PST YR:HOSP OVRN:IMP
B46:PST YR:EVR IF NR:IMP
B47:YR:TIMES W/ DOCT:IMP
B49:PST YR:PRO NURS :IMP
E1. R IN HOSPITAL LAST 12 MOS
E4. HOSPITAL $ NOT COVERED BY INS
E5. R IN NURSING HOME LAST 12 MOS
E8. NURSING HOME $ NOT COVERED BY INS
E10. $ R/SP PAY NURSING HOME
CATEG: E10. $ R/SP PAY NURSING HOME
E12. #TIMES R TALK TO DOCTOR LAST 12 MOS
E13. R/SP DOCTOR FEE NOT COVERED BY INS
E14. R OUTPATIENT SURGERY LAST 12 MOS
E16. R/SP OUTPT SURG $ NOT COVER BY INS
E17. R DENTIST LAST 12 MOS
E18. R/SP DENTIST $ NOT COVER BY INS
E20. R TAKEN MEDS LAST 12 MOS
E21. R/SP MEDS NOT COVERED LAST 12 MOS
E22. R/SP IN-HOME MED SERV NOT COVERED
E23. R/SP IN-HOME NOT COVER LAST 12 MOS
E24. R/SP USE OTHER SERVICE LAST 12 MOS
E26. $ R/SP PAY ANY MED EXP LAST 12 MOS
CATEG: E26. $ R/SP PAY ANY MED EXP
B30.NURSING HOME OVERNIG
B30c.NURSING HOME COSTS
B31.NUMBER OF DOCTOR VIS
B33.PROFESSIONAL NURSING
E1. HOSPITAL
E4. HOSP $ NOT COV
E5. NURSING HOME
E8.NURHM NOT COV
E10. NURHM OR HOSP R PAY $
E10. NURHM OR HOSP R PAY $/Bkt
Section B: Health
D1698
D1701
D1713
D1716
D1728
D1731
D1732
D1733B
D1744
D1748
D1749
D1750B
D1760
D1762
D1774
D1781
D1782B
HRS 1996:
E1770
E1775
E1776
E1781
E1783
E1784
E1785
E1786
E1787
E1788
E1790
E1793
E1795
E1798
E1800
E1803
E1804
E1805
E1806
E1807
E1808
E1809
E1811
E1815
E1816
E1817
E1818
E1819
E1820
E1821
E1827
E1827
E1829
E1831
E1834
E1834
E1835
E1836
E1837
E1838
E1839
E1841
E1842
E1843
E1844
269
E11. DR TIMES
E13.DR, NOT COV
E14. OUTPATIENT SURGERY
E16. OUTSURG, NOT COV
E17. DENTIST
E18. DENTIST, NOT COV
E18A.DOCTOR/OUT/DENTAL R PAY $
E18A.DOCTOR/OUT/DENTAL R PAY $/Bkt
E20. DRUGS
E21. DRUGS, NOT COV
E21A.PRESCR R PAY $
E21A.PRESCR R PAY $/Bkt
E22.IN-HOME SERV
E23. IN-HOME R PAY $
E24.R USE SERVICE
E24A.SPECIAL R PAY $
E24A.SPECIAL R PAY $/Bkt
E1. HOSPITAL-YR
E4. HOSP $ NOT COV
E5. NURSING HOME-YR
E8.NURHM NOT COV
E10. NURHM OR HOSP R PAY $
E10A. NURHM OR HOSP R PAY $ DK-1
E10B. NURHM OR HOSP R PAY $ DK-2
E10C. NURHM OR HOSP R PAY $ DK-3
E10D. NURHM OR HOSP R PAY $ DK-4
E10E. NURHM OR HOSP R PAY $ DK-5
E11. DR TIMES
E13.DR, NOT COV
E14. OUTPATIENT SURGERY-YR
E16. OUTSURG, NOT COV
E17.DENTIST-YR
E18. DENTIST, NOT COV
E18A.DOCTOR/OUT/DENTAL R PAY $
E18B.DR/OUT/DENTAL $ DK-1
E18C.DR/OUT/DENTAL $ DK-2
E18D.DR/OUT/DENTAL $ DK-3
E18E.DR/OUT/DENTAL $ DK-4
E18F.DR/OUT/DENTAL $ DK-5
E20. DRUGS-YR
E21. DRUGS, NOT COV
E21A.PRESCR R PAY $
E21B.PRESCR R PAY $ DK-1
E21C.PRESCR R PAY $ DK-2
E21D.PRESCR R PAY $ DK-3
E21E.PRESCR R PAY $ DK-4
E21F.PRESCR R PAY $ DK-5
E22.IN-HOME SERV
E22.IN-HOME SERV
E23. IN-HOME R PAY $
E24.R USE SERVICE
E24A.SPECIAL R PAY $
E24A.SPECIAL R PAY $
E24B.SPECIAL R PAY $ DK-1
E24C.SPECIAL R PAY $ DK-2
E24D.SPECIAL R PAY $ DK-3
E24E.SPECIAL R PAY $ DK-4
E24F.SPECIAL R PAY $ DK-5
E26.TOTAL COST MEDICAL
E26A.TOTAL MEDICAL $ DK-5K
E26B.TOTAL MEDICAL $ DK-1K
E26C.TOTAL MEDICAL $ DK-25K
Section B: Health
E1845
E1846
E240
HRS 1998:
F2295
F2298
F2299
F2304
F2305
F2306
F2307
F2308
F2309
F2310
F2311
F2312
F2331
F2332
F2333
F2334
F2335
F2336
F2337
F2338
F2339
F2340
F2341
F2342
F2343
F2344
F2345
F2346
F2347
F2348
F2349
F2350
F2351
F2352
F2353
F2354
F2357
F2357
F2359
F2361
F2361
F2364
F2365
F2366
F2367
F2368
F2369
F2383
F2384
F2385
F2386
F2387
F517
HRS 2000:
G2567
G2570
G2571
G2576
G2577
270
E26D.TOTAL MEDICAL $ DK-100K
E26E.TOTAL MEDICAL $ DK-500K
CS11.R-WHERE LIVE
E1. HOSPITAL-YR
E4. HOSP $ NOT COV
E5. NURSING HOME-YR
E8.NURHM NOT COV
E10. NURHM OR HOSP R PAY $
E10A. NURHM OR HOSP DK-1
E10B. NURHM OR HOSP DK-2
E10C. NURHM OR HOSP DK-3
E10B1. NURHM OR HOSP DK-2
E10B1. NURHM OR HOSP DK-2
E10D. NURHM OR HOSP DK-4
E10E. NURHM OR HOSP DK-5
E11. DR TIMES
E13.DR, NOT COV
E14. OUTPATIENT SURGERY-YR
E16. OUTSURG, NOT COV
E17.DENTIST-YR
E18. DENTIST, NOT COV
E18A.DOCTOR/OUT/DENTAL R PAY $
E18B.DR/OUT/DENTAL DK-1
E18C.DR/OUT/DENTAL DK-2
E18D.DR/OUT/DENTAL DK-3
E18E.DR/OUT/DENTAL DK-4
E18C1.DR/OUT/DENTAL DK-2
E18F.DR/OUT/DENTAL DK-4
E18G.DR/OUT/DENTAL DK-5
E20. DRUGS-YR
E21. DRUGS, NOT COV
E21A.PRESCR R PAY $
E21B.PRESCR DK-1
E21C.PRESCR DK-2
E21D.PRESCR DK-3
E21E.PRESCR DK-4
E21B1.PRESCR DK-2
E21E.PRESCR DK-4
E21F.PRESCR DK-5
E22.IN-HOME SERV
E22.IN-HOME SERV
E23. IN-HOME R PAY $
E24.R USE SERVICE
E24.R USE SERVICE
E24A.SPECIAL R PAY $
E24B.SPECIAL DK-1
E24C.SPECIAL DK-2
E24D.SPECIAL DK-3
E24E.SPECIAL DK-4
E24F.SPECIAL DK-5
E26.TOTAL COST MEDICAL-5K
E26A.TOTAL MEDICAL COSTS-2ND
E26B.TOTAL MEDICAL COSTS-3RD
E26C.TOTAL MEDICAL COSTS-4TH
E26D.TOTAL MEDICAL COSTS-5TH
CS11.R IN NURSING HOME
E1. HOSPITAL-YR
E4. HOSP $ NOT COV
E5. NURSING HOME-YR
E8.NURHM NOT COV
E10. NURHM OR HOSP R PAY $
Section B: Health
G2578
G2579
G2580
G2581
G2582
G2583
G2584
G2603
G2609
G2610
G2611
G2612
G2613
G2614
G2615
G2616
G2617
G2618
G2619
G2620
G2621
G2622
G2623
G2624
G2625
G2626
G2627
G2628
G2629
G2630
G2631
G2634
G2634
G2636
G2638
G2638
G2641
G2642
G2643
G2644
G2645
G2646
G2660
G2661
G2683
G2684
G2685
G558
HRS 2002:
HA028
HN099
HN102
HN106
HN107
HN108
HN109
HN114
HN118
HN119
HN120
HN121
HN122
HN134
271
E10A. NURHM OR HOSP DK-1
E10B. NURHM OR HOSP DK-2
E10C. NURHM OR HOSP DK-3
E10B1. NURHM OR HOSP DK-2
E10Y1B1. NURHM OR HOSP DK-2
E10D. NURHM OR HOSP DK-4
E10E. NURHM OR HOSP DK-5
E11. DR TIMES
E13.DR-NOT COVERED
E14. OUTPATIENT SURGERY-YR
E16. OUTSURG-NOT COVERED
E17.DENTIST-YR
E18. DENTIST-NOT COVERED
E18A.DOCTOR/OUT/DENTAL R PAY $
E18B.DR/OUT/DENTAL DK-1
E18C.DR/OUT/DENTAL DK-2
E18D.DR/OUT/DENTAL DK-3
E18E.DR/OUT/DENTAL DK-4
E18C1.DR/OUT/DENTAL DK-2
E18F.DR/OUT/DENTAL DK-4
E18G.DR/OUT/DENTAL DK-5
E20. DRUGS-YR
E21. DRUGS-NOT COVERED
E21A.PRESCR R PAY $
E21B.PRESCR DK-1
E21C.PRESCR DK-2
E21D.PRESCR DK-3
E21E.PRESCR DK-4
E21B1.PRESCR DK-2
E21Y1E.PRESCR DK-4
E21F.PRESCR DK-5
E22.IN-HOME SERV
E22.IN-HOME SERV
E23. IN-HOME R PAY $
E24.R USE SERVICE
E24.R USE SERVICE
E24A.SPECIAL R PAY $
E24B.SPECIAL DK-1
E24C.SPECIAL DK-2
E24D.SPECIAL DK-3
E24E.SPECIAL DK-4
E24F.SPECIAL DK-5
E26.TOTAL COST MEDICAL-5K
E26A.TOTAL MEDICAL COSTS-2ND
E26B.TOTAL MEDICAL COSTS-3RD
E26C.TOTAL MEDICAL COSTS-4TH
E26D.TOTAL MEDICAL COSTS-5TH
CS11.R IN NURSING HOME
R IN NURSING HOME
OVERNIGHT STAY IN HOSP-SINCE PREV IW/2YR
HOSPITAL STAYS COVERED BY INS
AMT PAID O-O-P HOSPITAL COSTS
AMT PAID O-O-P HOSPITAL COSTS - MIN
AMT PAID O-O-P HOSPITAL COSTS - MAX
AMT PAID O-O-P HOSPITAL COSTS - RESULT
EVER PATIENT OVERNIGHT IN NURSING HOME
NH COSTS COVERED BY INSURANCE
AMT PAID O-O-P NURSING HOME
AMT PAID O-O-P NURSING HOME- MIN
AMT PAID O-O-P NURSING HOME- MAX
AMT PAID O-O-P NURSING HOME- RESULT
OUTPATIENT SURGERY- PREV IW/2 YRS
Section B: Health
HN135
HN139
HN140
HN141
HN142
HN147
HN148
HN149
HN150
HN151
HN152
HN156
HN157
HN158
HN159
HN164
HN165
HN168
HN169
HN170
HN171
HN175
HN176
HN180
HN181
HN182
HN183
HN189
HN189
HN190
HN194
HN195
HN196
HN197
HN202
HN202
HN204
HN221
HN222
HN223
HN224
HN239
HRS 2004:
JA028
JN099
JN102
JN106
JN107
JN108
JN109
JN114
JN118
JN119
JN120
JN121
JN122
JN134
JN135
JN139
JN140
JN141
JN142
JN147
272
OUTPATIENT SURG COSTS COVERED BY HI
AMT PAID O-O-P OUTPAT SURGERY
AMT PAID O-O-P OUTPAT SURGERY - MIN
AMT PAID O-O-P OUTPAT SURGERY - MAX
AMT PAID O-O-P OUTPAT SURGERY - RESULT
# TIMES SEEN DR- PREV IW/2 YRS
NUMBER TIMES SEEN DOCTOR 20X
NUMBER TIMES SEEN DOCTOR 5X
HAS R SOUGHT DOC ADVICE IN PAST 2 YRS
R SEEK DOC ADVICE 50X
DOCTOR VISITS COVERED BY INSURANCE
AMT PAY O-O-P FOR DOC VISITS
AMT PAY O-O-P FOR DOC VISITS - MIN
AMT PAY O-O-P FOR DOC VISITS - MAX
AMT PAY O-O-P FOR DOC VISITS - RESULT
SEEN DENTIST SINCE PREV IW/2YRS
DENTAL COSTS COVERED BY INSURANCE
AMT PAY O-O-P DENTAL
AMT PAY O-O-P DENTAL - MIN
AMT PAY O-O-P DENTAL - MAX
AMT PAY O-O-P DENTAL - RESULT
TAKE PRESCRIPTION DRUGS REGULARLY
DRUG COSTS COVERED BY INSURANCE
AMT PAY O-O-P RX DRUGS PER MONTH
AMT PAY O-O-P RX DRUGS PER MONTH- MIN
AMT PAY O-O-P RX DRUGS PER MONTH- MAX
AMT PAY O-O-P RX DRUGS PER MONTH- RESULT
USED HOME HEALTH SVC- PREV IW/2 YRS
USED HOME HEALTH SVC- PREV IW/2 YRS
HOME HEALTH SERVICE COST COVERED BY INS
AMT PAY O-O-P HOME HEALTH SVC
AMT PAY O-O-P HOME HEALTH SVC - MIN
AMT PAY O-O-P HOME HEALTH SVC - MAX
AMT PAY O-O-P HOME HEALTH SVC - RESULT
USED OTHER HEALTH SVC- PREV IW/2 YRS
USED OTHER HEALTH SVC- PREV IW/2 YRS
ASSIGN HOSPITAL COSTS
TOTAL MEDICAL COSTS
TOTAL MEDICAL COSTS - MIN
TOTAL MEDICAL COSTS - MAX
TOTAL MEDICAL COSTS - RESULT
AMT PAY O-O-P OTHER HEALTH SERVICE
R IN NURSING HOME
OVERNIGHT STAY IN HOSP-SINCE PREV IW/2YR
HOSPITAL STAYS COVERED BY INS
AMT PAID O-O-P HOSPITAL COSTS
AMT PAID O-O-P HOSPITAL COSTS - MIN
AMT PAID O-O-P HOSPITAL COSTS - MAX
AMT PAID O-O-P HOSPITAL COSTS - RESULT
EVER PATIENT OVERNIGHT IN NURSING HOME
NH COSTS COVERED BY INSURANCE
AMT PAID O-O-P NURSING HOME
AMT PAID O-O-P NURSING HOME- MIN
AMT PAID O-O-P NURSING HOME- MAX
AMT PAID O-O-P NURSING HOME- RESULT
OUTPATIENT SURGERY- PREV IW/2 YRS
OUTPATIENT SURG COSTS COVERED BY HI
AMT PAID O-O-P OUTPAT SURGERY
AMT PAID O-O-P OUTPAT SURGERY - MIN
AMT PAID O-O-P OUTPAT SURGERY - MAX
AMT PAID O-O-P OUTPAT SURGERY - RESULT
# TIMES SEEN DR- PREV IW/2 YRS
Section B: Health
JN148
JN149
JN150
JN151
JN152
JN156
JN157
JN158
JN159
JN164
JN165
JN168
JN169
JN170
JN171
JN175
JN176
JN180
JN181
JN182
JN183
JN189
JN189
JN190
JN194
JN195
JN196
JN197
JN202
JN202
JN204
HRS 2006:
KA028
KN099
KN102
KN106
KN107
KN108
KN109
KN114
KN118
KN119
KN120
KN121
KN122
KN134
KN135
KN139
KN140
KN141
KN142
KN147
KN148
KN149
KN150
KN151
KN152
KN156
KN157
KN158
KN159
KN164
KN165
273
NUMBER TIMES SEEN DOCTOR 20X
NUMBER TIMES SEEN DOCTOR 5X
HAS R SOUGHT DOC ADVICE IN PAST 2 YRS
R SEEK DOC ADVICE 50X
DOCTOR VISITS COVERED BY INSURANCE
AMT PAY O-O-P FOR DOC VISITS
AMT PAY O-O-P FOR DOC VISITS - MIN
AMT PAY O-O-P FOR DOC VISITS - MAX
AMT PAY O-O-P FOR DOC VISITS - RESULT
SEEN DENTIST SINCE PREV IW/2YRS
DENTAL COSTS COVERED BY INSURANCE
AMT PAY O-O-P DENTAL
AMT PAY O-O-P DENTAL - MIN
AMT PAY O-O-P DENTAL - MAX
AMT PAY O-O-P DENTAL - RESULT
TAKE PRESCRIPTION DRUGS REGULARLY
DRUG COSTS COVERED BY INSURANCE
AMT PAY O-O-P RX DRUGS PER MONTH
AMT PAY O-O-P RX DRUGS PER MONTH- MIN
AMT PAY O-O-P RX DRUGS PER MONTH- MAX
AMT PAY O-O-P RX DRUGS PER MONTH- RESULT
USED HOME HEALTH SVC- PREV IW/2 YRS
USED HOME HEALTH SVC- PREV IW/2 YRS
HOME HEALTH SERVICE COST COVERED BY INS
AMT PAY O-O-P HOME HEALTH SVC
AMT PAY O-O-P HOME HEALTH SVC - MIN
AMT PAY O-O-P HOME HEALTH SVC - MAX
AMT PAY O-O-P HOME HEALTH SVC - RESULT
USED OTHER HEALTH SVC- PREV IW/2 YRS
USED OTHER HEALTH SVC- PREV IW/2 YRS
ASSIGN HOSPITAL COSTS
R IN NURSING HOME
OVERNIGHT STAY IN HOSP-SINCE PREV IW/2YR
HOSPITAL STAYS COVERED BY INS
AMT PAID O-O-P HOSPITAL COSTS
AMT PAID O-O-P HOSPITAL COSTS - MIN
AMT PAID O-O-P HOSPITAL COSTS - MAX
AMT PAID O-O-P HOSPITAL COSTS - RESULT
EVER PATIENT OVERNIGHT IN NURSING HOME
NH COSTS COVERED BY INSURANCE
AMT PAID O-O-P NURSING HOME
AMT PAID O-O-P NURSING HOME- MIN
AMT PAID O-O-P NURSING HOME- MAX
AMT PAID O-O-P NURSING HOME- RESULT
OUTPATIENT SURGERY- PREV IW/2 YRS
OUTPATIENT SURG COSTS COVERED BY HI
AMT PAID O-O-P OUTPAT SURGERY
AMT PAID O-O-P OUTPAT SURGERY - MIN
AMT PAID O-O-P OUTPAT SURGERY - MAX
AMT PAID O-O-P OUTPAT SURGERY - RESULT
# TIMES SEEN DR- PREV IW/2 YRS
NUMBER TIMES SEEN DOCTOR 20X
NUMBER TIMES SEEN DOCTOR 5X
HAS R SOUGHT DOC ADVICE IN PAST 2 YRS
R SEEK DOC ADVICE 50X
DOCTOR VISITS COVERED BY INSURANCE
AMT PAY O-O-P FOR DOC VISITS
AMT PAY O-O-P FOR DOC VISITS - MIN
AMT PAY O-O-P FOR DOC VISITS - MAX
AMT PAY O-O-P FOR DOC VISITS - RESULT
SEEN DENTIST SINCE PREV IW/2YRS
DENTAL COSTS COVERED BY INSURANCE
Section B: Health
KN168
KN169
KN170
KN171
KN175
KN176
KN180
KN181
KN182
KN183
KN189
KN189
KN190
KN194
KN195
KN196
KN197
KN202
KN202
KN204
HRS 2008:
LA028
LN099
LN102
LN106
LN107
LN108
LN109
LN114
LN118
LN119
LN120
LN121
LN122
LN134
LN135
LN139
LN140
LN141
LN142
LN147
LN148
LN149
LN150
LN151
LN152
LN156
LN157
LN158
LN159
LN164
LN165
LN168
LN169
LN170
LN171
LN175
LN176
LN180
LN181
LN182
LN183
LN189
274
AMT PAY O-O-P DENTAL
AMT PAY O-O-P DENTAL - MIN
AMT PAY O-O-P DENTAL - MAX
AMT PAY O-O-P DENTAL - RESULT
TAKE RX DRUGS REGULARLY
DRUG COSTS COVERED BY INSURANCE
AMT PAY O-O-P RX DRUGS PER MONTH
AMT PAY O-O-P RX DRUGS PER MONTH- MIN
AMT PAY O-O-P RX DRUGS PER MONTH- MAX
AMT PAY O-O-P RX DRUGS PER MONTH- RESULT
USED HOME HEALTH SVC- PREV IW/2 YRS
USED HOME HEALTH SVC- PREV IW/2 YRS
HOME HEALTH SERVICE COST COVERED BY INS
AMT PAY O-O-P HOME HEALTH SVC
AMT PAY O-O-P HOME HEALTH SVC - MIN
AMT PAY O-O-P HOME HEALTH SVC - MAX
AMT PAY O-O-P HOME HEALTH SVC - RESULT
USED OTHER HEALTH SVC- PREV IW/2 YRS
USED OTHER HEALTH SVC- PREV IW/2 YRS
ASSIGN HOSPITAL COSTS
R IN NURSING HOME
OVERNIGHT STAY IN HOSP-SINCE PREV IW/2YR
HOSPITAL STAYS COVERED BY INS
AMT PAID O-O-P HOSPITAL COSTS
AMT PAID O-O-P HOSPITAL COSTS - MIN
AMT PAID O-O-P HOSPITAL COSTS - MAX
AMT PAID O-O-P HOSPITAL COSTS - RESULT
EVER PATIENT OVERNIGHT IN NURSING HOME
NH COSTS COVERED BY INSURANCE
AMT PAID O-O-P NURSING HOME
AMT PAID O-O-P NURSING HOME- MIN
AMT PAID O-O-P NURSING HOME- MAX
AMT PAID O-O-P NURSING HOME- RESULT
OUTPATIENT SURGERY- PREV IW/2 YRS
OUTPATIENT SURG COSTS COVERED BY HI
AMT PAID O-O-P OUTPAT SURGERY
AMT PAID O-O-P OUTPAT SURGERY - MIN
AMT PAID O-O-P OUTPAT SURGERY - MAX
AMT PAID O-O-P OUTPAT SURGERY - RESULT
# TIMES SEEN DR- PREV IW/2 YRS
NUMBER TIMES SEEN DOCTOR 20X
NUMBER TIMES SEEN DOCTOR 5X
HAS R SOUGHT DOC ADVICE IN PAST 2 YRS
R SEEK DOC ADVICE 50X
DOCTOR VISITS COVERED BY INSURANCE
AMT PAY O-O-P FOR DOC VISITS
AMT PAY O-O-P FOR DOC VISITS - MIN
AMT PAY O-O-P FOR DOC VISITS - MAX
AMT PAY O-O-P FOR DOC VISITS - RESULT
SEEN DENTIST SINCE PREV IW/2YRS
DENTAL COSTS COVERED BY INSURANCE
AMT PAY O-O-P DENTAL
AMT PAY O-O-P DENTAL - MIN
AMT PAY O-O-P DENTAL - MAX
AMT PAY O-O-P DENTAL - RESULT
TAKE RX DRUGS REGULARLY
DRUG COSTS COVERED BY INSURANCE
AMT PAY O-O-P RX DRUGS PER MONTH
AMT PAY O-O-P RX DRUGS PER MONTH- MIN
AMT PAY O-O-P RX DRUGS PER MONTH- MAX
AMT PAY O-O-P RX DRUGS PER MONTH- RESULT
USED HOME HEALTH SVC- PREV IW/2 YRS
Section B: Health
LN189
LN190
LN194
LN195
LN196
LN197
LN202
LN202
LN204
HRS 2010:
MA028
MN099
MN102
MN106
MN107
MN108
MN109
MN114
MN118
MN119
MN120
MN121
MN122
MN134
MN135
MN139
MN140
MN141
MN142
MN147
MN148
MN149
MN150
MN151
MN152
MN156
MN157
MN158
MN159
MN164
MN165
MN168
MN169
MN170
MN171
MN175
MN176
MN180
MN181
MN182
MN183
MN189
MN189
MN190
MN194
MN195
MN196
MN197
MN202
MN202
MN204
HRS 2012:
NA028
275
USED HOME HEALTH SVC- PREV IW/2 YRS
HOME HEALTH SERVICE COST COVERED BY INS
AMT PAY O-O-P HOME HEALTH SVC
AMT PAY O-O-P HOME HEALTH SVC - MIN
AMT PAY O-O-P HOME HEALTH SVC - MAX
AMT PAY O-O-P HOME HEALTH SVC - RESULT
USED OTHER HEALTH SVC- PREV IW/2 YRS
USED OTHER HEALTH SVC- PREV IW/2 YRS
ASSIGN HOSPITAL COSTS
R IN NURSING HOME
OVERNIGHT STAY IN HOSP-SINCE PREV IW/2YR
HOSPITAL STAYS COVERED BY INS
AMT PAID O-O-P HOSPITAL COSTS
AMT PAID O-O-P HOSPITAL COSTS - MIN
AMT PAID O-O-P HOSPITAL COSTS - MAX
AMT PAID O-O-P HOSPITAL COSTS - RESULT
EVER PATIENT OVERNIGHT IN NURSING HOME
NH COSTS COVERED BY INSURANCE
AMT PAID O-O-P NURSING HOME
AMT PAID O-O-P NURSING HOME- MIN
AMT PAID O-O-P NURSING HOME- MAX
AMT PAID O-O-P NURSING HOME- RESULT
OUTPATIENT SURGERY- PREV IW/2 YRS
OUTPATIENT SURG COSTS COVERED BY HI
AMT PAID O-O-P OUTPAT SURGERY
AMT PAID O-O-P OUTPAT SURGERY - MIN
AMT PAID O-O-P OUTPAT SURGERY - MAX
AMT PAID O-O-P OUTPAT SURGERY - RESULT
# TIMES SEEN DR- PREV IW/2 YRS
NUMBER TIMES SEEN DOCTOR 20X
NUMBER TIMES SEEN DOCTOR 5X
HAS R SOUGHT DOC ADVICE IN PAST 2 YRS
R SEEK DOC ADVICE 50X
DOCTOR VISITS COVERED BY INSURANCE
AMT PAY O-O-P FOR DOC VISITS
AMT PAY O-O-P FOR DOC VISITS - MIN
AMT PAY O-O-P FOR DOC VISITS - MAX
AMT PAY O-O-P FOR DOC VISITS - RESULT
SEEN DENTIST SINCE PREV IW/2YRS
DENTAL COSTS COVERED BY INSURANCE
AMT PAY O-O-P DENTAL
AMT PAY O-O-P DENTAL - MIN
AMT PAY O-O-P DENTAL - MAX
AMT PAY O-O-P DENTAL - RESULT
TAKE RX DRUGS REGULARLY
DRUG COSTS COVERED BY INSURANCE
AMT PAY O-O-P RX DRUGS PER MONTH
AMT PAY O-O-P RX DRUGS PER MONTH- MIN
AMT PAY O-O-P RX DRUGS PER MONTH- MAX
AMT PAY O-O-P RX DRUGS PER MONTH- RESULT
USED HOME HEALTH SVC- PREV IW/2 YRS
USED HOME HEALTH SVC- PREV IW/2 YRS
HOME HEALTH SERVICE COST COVERED BY INS
AMT PAY O-O-P HOME HEALTH SVC
AMT PAY O-O-P HOME HEALTH SVC - MIN
AMT PAY O-O-P HOME HEALTH SVC - MAX
AMT PAY O-O-P HOME HEALTH SVC - RESULT
USED OTHER HEALTH SVC- PREV IW/2 YRS
USED OTHER HEALTH SVC- PREV IW/2 YRS
ASSIGN HOSPITAL COSTS
R IN NURSING HOME
Section B: Health
NN099
NN102
NN106
NN107
NN108
NN109
NN114
NN118
NN119
NN120
NN121
NN122
NN134
NN135
NN139
NN140
NN141
NN142
NN147
NN148
NN149
NN150
NN151
NN152
NN156
NN157
NN158
NN159
NN164
NN165
NN168
NN169
NN170
NN171
NN175
NN176
NN180
NN181
NN182
NN183
NN189
NN189
NN190
NN194
NN195
NN196
NN197
NN202
NN202
NN204
276
OVERNIGHT STAY IN HOSP-SINCE PREV IW/2YR
HOSPITAL STAYS COVERED BY INS
AMT PAID O-O-P HOSPITAL COSTS
AMT PAID O-O-P HOSPITAL COSTS - MIN
AMT PAID O-O-P HOSPITAL COSTS - MAX
AMT PAID O-O-P HOSPITAL COSTS - RESULT
EVER PATIENT OVERNIGHT IN NURSING HOME
NH COSTS COVERED BY INSURANCE
AMT PAID O-O-P NURSING HOME
AMT PAID O-O-P NURSING HOME- MIN
AMT PAID O-O-P NURSING HOME- MAX
AMT PAID O-O-P NURSING HOME- RESULT
OUTPATIENT SURGERY- PREV IW/2 YRS
OUTPATIENT SURG COSTS COVERED BY HI
AMT PAID O-O-P OUTPAT SURGERY
AMT PAID O-O-P OUTPAT SURGERY - MIN
AMT PAID O-O-P OUTPAT SURGERY - MAX
AMT PAID O-O-P OUTPAT SURGERY - RESULT
# TIMES SEEN DR- PREV IW/2 YRS
NUMBER TIMES SEEN DOCTOR 20X
NUMBER TIMES SEEN DOCTOR 5X
HAS R SOUGHT DOC ADVICE IN PAST 2 YRS
R SEEK DOC ADVICE 50X
DOCTOR VISITS COVERED BY INSURANCE
AMT PAY O-O-P FOR DOC VISITS
AMT PAY O-O-P FOR DOC VISITS - MIN
AMT PAY O-O-P FOR DOC VISITS - MAX
AMT PAY O-O-P FOR DOC VISITS - RESULT
SEEN DENTIST SINCE PREV IW/2YRS
DENTAL COSTS COVERED BY INSURANCE
AMT PAY O-O-P DENTAL
AMT PAY O-O-P DENTAL - MIN
AMT PAY O-O-P DENTAL - MAX
AMT PAY O-O-P DENTAL - RESULT
TAKE RX DRUGS REGULARLY
DRUG COSTS COVERED BY INSURANCE
AMT PAY O-O-P RX DRUGS PER MONTH
AMT PAY O-O-P RX DRUGS PER MONTH- MIN
AMT PAY O-O-P RX DRUGS PER MONTH- MAX
AMT PAY O-O-P RX DRUGS PER MONTH- RESULT
USED HOME HEALTH SVC- PREV IW/2 YRS
USED HOME HEALTH SVC- PREV IW/2 YRS
HOME HEALTH SERVICE COST COVERED BY INS
AMT PAY O-O-P HOME HEALTH SVC
AMT PAY O-O-P HOME HEALTH SVC - MIN
AMT PAY O-O-P HOME HEALTH SVC - MAX
AMT PAY O-O-P HOME HEALTH SVC - RESULT
USED OTHER HEALTH SVC- PREV IW/2 YRS
USED OTHER HEALTH SVC- PREV IW/2 YRS
ASSIGN HOSPITAL COSTS
Section B: Health
277
Whether health limits work
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1HLTHLM
R2HLTHLM
R3HLTHLM
R4HLTHLM
R5HLTHLM
R6HLTHLM
R7HLTHLM
R8HLTHLM
R9HLTHLM
R10HLTHLM
R11HLTHLM
R1HLTHLM:W1 Hlth problems limit work
R2HLTHLM:W2 Hlth problems limit work
R3HLTHLM:W3 Hlth problems limit work
R4HLTHLM:W4 Hlth problems limit work
R5HLTHLM:W5 Hlth problems limit work
R6HLTHLM:W6 Hlth problems limit work
R7HLTHLM:W7 Hlth problems limit work
R8HLTHLM:W8 Hlth problems limit work
R9HLTHLM:W9 Hlth problems limit work
R10HLTHLM:W10 Hlth problems limit work
R11HLTHLM:W11 Hlth problems limit work
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1HLTHLM
S2HLTHLM
S3HLTHLM
S4HLTHLM
S5HLTHLM
S6HLTHLM
S7HLTHLM
S8HLTHLM
S9HLTHLM
S10HLTHLM
S11HLTHLM
S1HLTHLM:W1 Hlth problems limit work
S2HLTHLM:W2 Hlth problems limit work
S3HLTHLM:W3 Hlth problems limit work
S4HLTHLM:W4 Hlth problems limit work
S5HLTHLM:W5 Hlth problems limit work
S6HLTHLM:W6 Hlth problems limit work
S7HLTHLM:W7 Hlth problems limit work
S8HLTHLM:W8 Hlth problems limit work
S9HLTHLM:W9 Hlth problems limit work
S10HLTHLM:W10 Hlth problems limit work
S11HLTHLM:W11 Hlth problems limit work
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1HLTHLM
R2HLTHLM
R3HLTHLM
R4HLTHLM
R5HLTHLM
R6HLTHLM
R7HLTHLM
R8HLTHLM
R9HLTHLM
R10HLTHLM
R11HLTHLM
12624
11383
10906
21251
19451
18069
13815
16259
15232
20733
19449
0.22
0.25
0.27
0.32
0.31
0.32
0.17
0.31
0.32
0.34
0.34
0.41
0.43
0.44
0.47
0.46
0.47
0.38
0.46
0.47
0.47
0.47
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S1HLTHLM
S2HLTHLM
S3HLTHLM
S4HLTHLM
S5HLTHLM
S6HLTHLM
S7HLTHLM
S8HLTHLM
S9HLTHLM
S10HLTHLM
S11HLTHLM
9890
8721
8282
13931
12682
11585
9779
10876
9893
12962
12045
0.20
0.22
0.24
0.28
0.27
0.27
0.15
0.27
0.27
0.29
0.30
0.40
0.42
0.43
0.45
0.44
0.44
0.36
0.44
0.45
0.45
0.46
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Categorical Variable Codes
Value----------------------|R1HLTHLM R2HLTHLM R3HLTHLM R4HLTHLM R5HLTHLM R6HLTHLM R7HLTHLM R8HLTHLM R9HLTHLM
.D=DK/NA
|
14
12
53
53
50
48
43
49
.M=Oth missing
|
14
38
53
40
25
12
10
11
R10HLTHLM R11HLTHLM
112
96
232
27
Section B: Health
278
.Q=Not asked this wave
.R=RF
.W=Not working
.Y=Assumed Yes
0.no
1.yes
|
|28
|
|
|9907
|2717
Value----------------------|S1HLTHLM
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wave
|
.R=RF
|10
.U=Unmar
|2373
.V=Sp NR
|379
.W=Not working
|
.Y=Assumed Yes
|
0.no
|7924
1.yes
|1966
8222
9
7027
8
27
35
21
8557
2826
8014
2892
14482
6769
13335
6116
12312
5757
S2HLTHLM
9
2
4549
7
5970
384
S3HLTHLM
9
11
3704
4
5658
323
S4HLTHLM S5HLTHLM S6HLTHLM S7HLTHLM S8HLTHLM S9HLTHLM
18
28
29
29
25
22
15
8
16
2
2
2
S10HLTHLM S11HLTHLM
56
54
133
6
14
6869
537
12
6538
311
9
6306
220
6773
1948
6276
2006
10096
3835
9273
3409
8470
3115
20
7795
722
342
4
9217
3745
14
1376
4864
11438
2377
9
6777
380
559
2594
8287
1492
8
2147
2
11145
5114
4
6417
317
828
7918
2958
10
1910
5
10385
4847
4
6206
365
723
2
7173
2720
32
916
9
13693
7040
31
933
18
12806
6643
15
7473
591
365
5
8482
3563
How Constructed:
RwHLTHLM indicates whether an impairment or health problem limits the kind or amount of paid work for the
respondent. SwHLTHLM is the same information for the respondent's spouse or partner.
RwHLTHLM simply recodes the original HRS variable as a yes/no indicator and sets missing values to
missing codes.
In Waves 2A and 3A, this questions was not asked. So for Ahead respondents, R2HLTHLM and R3HLTHLM are set
to the .Q SAS special missing value, to indicate that no information is available.
The spouse variables are taken from the Wave 'w' spouse's self-reported information, e.g., S1HLTHLM is
taken from the Wave 1 spouse's R1HLTHLM.
Cross Wave Differences in Original HRS Data
In Waves 2A and 3A, question about health affects or limits any work is not asked.
The question wording is the same in all other waves:
Now I want to ask how your health affects paid work activities. Do you have any impairment or health
problem that limits the kind or amount of paid work you can do?
Beginning in Wave 4, the same question is asked in two sections. One is the disability section for reinterviewees; one is the disability section for new interviewees.
In Wave 7, if re-interviewees have previously reported a health limitation, these questions are skipped
and assigned “.Y=Assumed Yes”. This skip pattern bypasses Rs that have previously reported a health
limitation, but may no longer have a limitation. Beginning in Wave 7, “not working”, recoded .W, is
added as a possible answer.
HRS Variables Used
HRS 1992:
V4001
HRS 1994:
W5200
HRS 1996:
E3507
HRS 1998:
F4017
F4201
HRS 2000:
G4307
G4553
HRS 2002:
HM002
J1:HAVE DISABILITY
J1.HEALTH PROBLEM THAT L
GD1. HEALTH PROB
GD1. HEALTH PROB
GJ1.HEALTH PROB
GD1. HEALTH PROB
GJ1.HEALTH PROB
HM002 HEALTH PROB
Section B: Health
HM502
HRS 2004:
JM002
JM502
HRS 2006:
KM002
KM502
HRS 2008:
LM002
LM502
HRS 2010:
MM002
MM502
HRS 2012:
NM002
NM502
279
HEALTH PROB
HM002 HEALTH PROB
HM502 HEALTH PROB
HM002 HEALTH PROB
HM502 HEALTH PROB
HM002 HEALTH PROB
HM502 HEALTH PROB
HM002 HEALTH PROB
HM502 HEALTH PROB
HM002 HEALTH PROB
HM502 HEALTH PROB
Section B: Health
280
Activities of daily living (ADLs): Raw recodes
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1WALKR
R2WALKR
R3WALKR
R4WALKR
R5WALKR
R6WALKR
R7WALKR
R8WALKR
R9WALKR
R10WALKR
R11WALKR
R1WALKR:W1 R
R2WALKR:W2 R
R3WALKR:W3 R
R4WALKR:W4 R
R5WALKR:W5 R
R6WALKR:W6 R
R7WALKR:W7 R
R8WALKR:W8 R
R9WALKR:W9 R
R10WALKR:W10
R11WALKR:W11
Diff-Walk across room
Diff-Walk across room
Diff-Walk across room
Diff-Walk across room
Diff-Walk across room
Diff-Walk across room
Diff-Walk across room
Diff-Walk across room
Diff-Walk across room
R Diff-Walk across room
R Diff-Walk across room
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1WALKR
S2WALKR
S3WALKR
S4WALKR
S5WALKR
S6WALKR
S7WALKR
S8WALKR
S9WALKR
S10WALKR
S11WALKR
S1WALKR:W1 S
S2WALKR:W2 S
S3WALKR:W3 S
S4WALKR:W4 S
S5WALKR:W5 S
S6WALKR:W6 S
S7WALKR:W7 S
S8WALKR:W8 S
S9WALKR:W9 S
S10WALKR:W10
S11WALKR:W11
Diff-Walk across room
Diff-Walk across room
Diff-Walk across room
Diff-Walk across room
Diff-Walk across room
Diff-Walk across room
Diff-Walk across room
Diff-Walk across room
Diff-Walk across room
S Diff-Walk across room
S Diff-Walk across room
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2WALKRH
R3WALKRH
R4WALKRH
R5WALKRH
R6WALKRH
R7WALKRH
R8WALKRH
R9WALKRH
R10WALKRH
R11WALKRH
R2WALKRH:W2 R
R3WALKRH:W3 R
R4WALKRH:W4 R
R5WALKRH:W5 R
R6WALKRH:W6 R
R7WALKRH:W7 R
R8WALKRH:W8 R
R9WALKRH:W9 R
R10WALKRH:W10
R11WALKRH:W11
Gets Help-Walk across room
Gets Help-Walk across room
Gets Help-Walk across room
Gets Help-Walk across room
Gets Help-Walk across room
Gets Help-Walk across room
Gets Help-Walk across room
Gets Help-Walk across room
R Gets Help-Walk across room
R Gets Help-Walk across room
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2WALKRH
S3WALKRH
S4WALKRH
S5WALKRH
S6WALKRH
S7WALKRH
S8WALKRH
S9WALKRH
S10WALKRH
S11WALKRH
S2WALKRH:W2 S
S3WALKRH:W3 S
S4WALKRH:W4 S
S5WALKRH:W5 S
S6WALKRH:W6 S
S7WALKRH:W7 S
S8WALKRH:W8 S
S9WALKRH:W9 S
S10WALKRH:W10
S11WALKRH:W11
Gets Help-Walk across room
Gets Help-Walk across room
Gets Help-Walk across room
Gets Help-Walk across room
Gets Help-Walk across room
Gets Help-Walk across room
Gets Help-Walk across room
Gets Help-Walk across room
S Gets Help-Walk across room
S Gets Help-Walk across room
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2WALKRE
R3WALKRE
R4WALKRE
R5WALKRE
R6WALKRE
R7WALKRE
R8WALKRE
R9WALKRE
R10WALKRE
R11WALKRE
R2WALKRE:W2 R
R3WALKRE:W3 R
R4WALKRE:W4 R
R5WALKRE:W5 R
R6WALKRE:W6 R
R7WALKRE:W7 R
R8WALKRE:W8 R
R9WALKRE:W9 R
R10WALKRE:W10
R11WALKRE:W11
Eqp-Walk across room
Eqp-Walk across room
Eqp-Walk across room
Eqp-Walk across room
Eqp-Walk across room
Eqp-Walk across room
Eqp-Walk across room
Eqp-Walk across room
R Eqp-Walk across room
R Eqp-Walk across room
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Section B: Health
281
2
3
4
5
6
7
8
9
10
11
S2WALKRE
S3WALKRE
S4WALKRE
S5WALKRE
S6WALKRE
S7WALKRE
S8WALKRE
S9WALKRE
S10WALKRE
S11WALKRE
S2WALKRE:W2 S
S3WALKRE:W3 S
S4WALKRE:W4 S
S5WALKRE:W5 S
S6WALKRE:W6 S
S7WALKRE:W7 S
S8WALKRE:W8 S
S9WALKRE:W9 S
S10WALKRE:W10
S11WALKRE:W11
1
2
3
4
5
6
7
8
9
10
11
R1DRESS
R2DRESS
R3DRESS
R4DRESS
R5DRESS
R6DRESS
R7DRESS
R8DRESS
R9DRESS
R10DRESS
R11DRESS
R1DRESS:W1 R
R2DRESS:W2 R
R3DRESS:W3 R
R4DRESS:W4 R
R5DRESS:W5 R
R6DRESS:W6 R
R7DRESS:W7 R
R8DRESS:W8 R
R9DRESS:W9 R
R10DRESS:W10
R11DRESS:W11
Diff-Dressing
Diff-Dressing
Diff-Dressing
Diff-Dressing
Diff-Dressing
Diff-Dressing
Diff-Dressing
Diff-Dressing
Diff-Dressing
R Diff-Dressing
R Diff-Dressing
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1DRESS
S2DRESS
S3DRESS
S4DRESS
S5DRESS
S6DRESS
S7DRESS
S8DRESS
S9DRESS
S10DRESS
S11DRESS
S1DRESS:W1 S
S2DRESS:W2 S
S3DRESS:W3 S
S4DRESS:W4 S
S5DRESS:W5 S
S6DRESS:W6 S
S7DRESS:W7 S
S8DRESS:W8 S
S9DRESS:W9 S
S10DRESS:W10
S11DRESS:W11
Diff-Dressing
Diff-Dressing
Diff-Dressing
Diff-Dressing
Diff-Dressing
Diff-Dressing
Diff-Dressing
Diff-Dressing
Diff-Dressing
S Diff-Dressing
S Diff-Dressing
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2DRESSH
R3DRESSH
R4DRESSH
R5DRESSH
R6DRESSH
R7DRESSH
R8DRESSH
R9DRESSH
R10DRESSH
R11DRESSH
R2DRESSH:W2 R
R3DRESSH:W3 R
R4DRESSH:W4 R
R5DRESSH:W5 R
R6DRESSH:W6 R
R7DRESSH:W7 R
R8DRESSH:W8 R
R9DRESSH:W9 R
R10DRESSH:W10
R11DRESSH:W11
Gets Help-Dressing
Gets Help-Dressing
Gets Help-Dressing
Gets Help-Dressing
Gets Help-Dressing
Gets Help-Dressing
Gets Help-Dressing
Gets Help-Dressing
R Gets Help-Dressing
R Gets Help-Dressing
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2DRESSH
S3DRESSH
S4DRESSH
S5DRESSH
S6DRESSH
S7DRESSH
S8DRESSH
S9DRESSH
S10DRESSH
S11DRESSH
S2DRESSH:W2 S
S3DRESSH:W3 S
S4DRESSH:W4 S
S5DRESSH:W5 S
S6DRESSH:W6 S
S7DRESSH:W7 S
S8DRESSH:W8 S
S9DRESSH:W9 S
S10DRESSH:W10
S11DRESSH:W11
Gets Help-Dressing
Gets Help-Dressing
Gets Help-Dressing
Gets Help-Dressing
Gets Help-Dressing
Gets Help-Dressing
Gets Help-Dressing
Gets Help-Dressing
S Gets Help-Dressing
S Gets Help-Dressing
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
R1BATH
R2BATH
R3BATH
R4BATH
R5BATH
R6BATH
R1BATH:W1
R2BATH:W2
R3BATH:W3
R4BATH:W4
R5BATH:W5
R6BATH:W6
R
R
R
R
R
R
Eqp-Walk across room
Eqp-Walk across room
Eqp-Walk across room
Eqp-Walk across room
Eqp-Walk across room
Eqp-Walk across room
Eqp-Walk across room
Eqp-Walk across room
S Eqp-Walk across room
S Eqp-Walk across room
Diff-Bathing
Diff-Bathing
Diff-Bathing
Diff-Bathing
Diff-Bathing
Diff-Bathing
or
or
or
or
or
or
showerng
showerng
showerng
showerng
showerng
showerng
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Section B: Health
282
7
8
9
10
11
R7BATH
R8BATH
R9BATH
R10BATH
R11BATH
R7BATH:W7 R
R8BATH:W8 R
R9BATH:W9 R
R10BATH:W10
R11BATH:W11
Diff-Bathing or showerng
Diff-Bathing or showerng
Diff-Bathing or showerng
R Diff-Bathing or showerng
R Diff-Bathing or showerng
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1BATH
S2BATH
S3BATH
S4BATH
S5BATH
S6BATH
S7BATH
S8BATH
S9BATH
S10BATH
S11BATH
S1BATH:W1 S
S2BATH:W2 S
S3BATH:W3 S
S4BATH:W4 S
S5BATH:W5 S
S6BATH:W6 S
S7BATH:W7 S
S8BATH:W8 S
S9BATH:W9 S
S10BATH:W10
S11BATH:W11
Diff-Bathing or showerng
Diff-Bathing or showerng
Diff-Bathing or showerng
Diff-Bathing or showerng
Diff-Bathing or showerng
Diff-Bathing or showerng
Diff-Bathing or showerng
Diff-Bathing or showerng
Diff-Bathing or showerng
S Diff-Bathing or showerng
S Diff-Bathing or showerng
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2BATHH
R3BATHH
R4BATHH
R5BATHH
R6BATHH
R7BATHH
R8BATHH
R9BATHH
R10BATHH
R11BATHH
R2BATHH:W2 R
R3BATHH:W3 R
R4BATHH:W4 R
R5BATHH:W5 R
R6BATHH:W6 R
R7BATHH:W7 R
R8BATHH:W8 R
R9BATHH:W9 R
R10BATHH:W10
R11BATHH:W11
Gets Help-Bathing, showerng
Gets Help-Bathing, showerng
Gets Help-Bathing, showerng
Gets Help-Bathing, showerng
Gets Help-Bathing, showerng
Gets Help-Bathing, showerng
Gets Help-Bathing, showerng
Gets Help-Bathing, showerng
R Gets Help-Bathing, showerng
R Gets Help-Bathing, showerng
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2BATHH
S3BATHH
S4BATHH
S5BATHH
S6BATHH
S7BATHH
S8BATHH
S9BATHH
S10BATHH
S11BATHH
S2BATHH:W2 S
S3BATHH:W3 S
S4BATHH:W4 S
S5BATHH:W5 S
S6BATHH:W6 S
S7BATHH:W7 S
S8BATHH:W8 S
S9BATHH:W9 S
S10BATHH:W10
S11BATHH:W11
Gets Help-Bathing, showerng
Gets Help-Bathing, showerng
Gets Help-Bathing, showerng
Gets Help-Bathing, showerng
Gets Help-Bathing, showerng
Gets Help-Bathing, showerng
Gets Help-Bathing, showerng
Gets Help-Bathing, showerng
S Gets Help-Bathing, showerng
S Gets Help-Bathing, showerng
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
R1EAT
R2EAT
R3EAT
R4EAT
R5EAT
R6EAT
R7EAT
R8EAT
R9EAT
R10EAT
R11EAT
R1EAT:W1 R
R2EAT:W2 R
R3EAT:W3 R
R4EAT:W4 R
R5EAT:W5 R
R6EAT:W6 R
R7EAT:W7 R
R8EAT:W8 R
R9EAT:W9 R
R10EAT:W10
R11EAT:W11
Diff-Eating
Diff-Eating
Diff-Eating
Diff-Eating
Diff-Eating
Diff-Eating
Diff-Eating
Diff-Eating
Diff-Eating
R Diff-Eating
R Diff-Eating
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1EAT
S2EAT
S3EAT
S4EAT
S5EAT
S6EAT
S7EAT
S8EAT
S9EAT
S10EAT
S11EAT
S1EAT:W1 S
S2EAT:W2 S
S3EAT:W3 S
S4EAT:W4 S
S5EAT:W5 S
S6EAT:W6 S
S7EAT:W7 S
S8EAT:W8 S
S9EAT:W9 S
S10EAT:W10
S11EAT:W11
Diff-Eating
Diff-Eating
Diff-Eating
Diff-Eating
Diff-Eating
Diff-Eating
Diff-Eating
Diff-Eating
Diff-Eating
S Diff-Eating
S Diff-Eating
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Section B: Health
283
2
3
4
5
6
7
8
9
10
11
R2EATH
R3EATH
R4EATH
R5EATH
R6EATH
R7EATH
R8EATH
R9EATH
R10EATH
R11EATH
R2EATH:W2 R
R3EATH:W3 R
R4EATH:W4 R
R5EATH:W5 R
R6EATH:W6 R
R7EATH:W7 R
R8EATH:W8 R
R9EATH:W9 R
R10EATH:W10
R11EATH:W11
Gets Help-Eating
Gets Help-Eating
Gets Help-Eating
Gets Help-Eating
Gets Help-Eating
Gets Help-Eating
Gets Help-Eating
Gets Help-Eating
R Gets Help-Eating
R Gets Help-Eating
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2EATH
S3EATH
S4EATH
S5EATH
S6EATH
S7EATH
S8EATH
S9EATH
S10EATH
S11EATH
S2EATH:W2 S
S3EATH:W3 S
S4EATH:W4 S
S5EATH:W5 S
S6EATH:W6 S
S7EATH:W7 S
S8EATH:W8 S
S9EATH:W9 S
S10EATH:W10
S11EATH:W11
Gets Help-Eating
Gets Help-Eating
Gets Help-Eating
Gets Help-Eating
Gets Help-Eating
Gets Help-Eating
Gets Help-Eating
Gets Help-Eating
S Gets Help-Eating
S Gets Help-Eating
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
R1BED
R2BED
R3BED
R4BED
R5BED
R6BED
R7BED
R8BED
R9BED
R10BED
R11BED
R1BED:W1 R
R2BED:W2 R
R3BED:W3 R
R4BED:W4 R
R5BED:W5 R
R6BED:W6 R
R7BED:W7 R
R8BED:W8 R
R9BED:W9 R
R10BED:W10
R11BED:W11
Diff-Get in/out of bed
Diff-Get in/out of bed
Diff-Get in/out of bed
Diff-Get in/out of bed
Diff-Get in/out of bed
Diff-Get in/out of bed
Diff-Get in/out of bed
Diff-Get in/out of bed
Diff-Get in/out of bed
R Diff-Get in/out of bed
R Diff-Get in/out of bed
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1BED
S2BED
S3BED
S4BED
S5BED
S6BED
S7BED
S8BED
S9BED
S10BED
S11BED
S1BED:W1 S
S2BED:W2 S
S3BED:W3 S
S4BED:W4 S
S5BED:W5 S
S6BED:W6 S
S7BED:W7 S
S8BED:W8 S
S9BED:W9 S
S10BED:W10
S11BED:W11
Diff-Get in/out of bed
Diff-Get in/out of bed
Diff-Get in/out of bed
Diff-Get in/out of bed
Diff-Get in/out of bed
Diff-Get in/out of bed
Diff-Get in/out of bed
Diff-Get in/out of bed
Diff-Get in/out of bed
S Diff-Get in/out of bed
S Diff-Get in/out of bed
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2BEDH
R3BEDH
R4BEDH
R5BEDH
R6BEDH
R7BEDH
R8BEDH
R9BEDH
R10BEDH
R11BEDH
R2BEDH:W2 R
R3BEDH:W3 R
R4BEDH:W4 R
R5BEDH:W5 R
R6BEDH:W6 R
R7BEDH:W7 R
R8BEDH:W8 R
R9BEDH:W9 R
R10BEDH:W10
R11BEDH:W11
Gets Help-Get in/out of bed
Gets Help-Get in/out of bed
Gets Help-Get in/out of bed
Gets Help-Get in/out of bed
Gets Help-Get in/out of bed
Gets Help-Get in/out of bed
Gets Help-Get in/out of bed
Gets Help-Get in/out of bed
R Gets Help-Get in/out of bed
R Gets Help-Get in/out of bed
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
S2BEDH
S3BEDH
S4BEDH
S5BEDH
S6BEDH
S2BEDH:W2
S3BEDH:W3
S4BEDH:W4
S5BEDH:W5
S6BEDH:W6
Gets
Gets
Gets
Gets
Gets
Categ
Categ
Categ
Categ
Categ
S
S
S
S
S
Help-Get
Help-Get
Help-Get
Help-Get
Help-Get
in/out
in/out
in/out
in/out
in/out
of
of
of
of
of
bed
bed
bed
bed
bed
Section B: Health
284
7
8
9
10
11
S7BEDH
S8BEDH
S9BEDH
S10BEDH
S11BEDH
S7BEDH:W7 S
S8BEDH:W8 S
S9BEDH:W9 S
S10BEDH:W10
S11BEDH:W11
Gets Help-Get in/out of bed
Gets Help-Get in/out of bed
Gets Help-Get in/out of bed
S Gets Help-Get in/out of bed
S Gets Help-Get in/out of bed
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2BEDE
R3BEDE
R4BEDE
R5BEDE
R6BEDE
R7BEDE
R8BEDE
R9BEDE
R10BEDE
R11BEDE
R2BEDE:W2 R
R3BEDE:W3 R
R4BEDE:W4 R
R5BEDE:W5 R
R6BEDE:W6 R
R7BEDE:W7 R
R8BEDE:W8 R
R9BEDE:W9 R
R10BEDE:W10
R11BEDE:W11
Use Eqp-Get in/out of bed
Use Eqp-Get in/out of bed
Use Eqp-Get in/out of bed
Use Eqp-Get in/out of bed
Use Eqp-Get in/out of bed
Use Eqp-Get in/out of bed
Use Eqp-Get in/out of bed
Use Eqp-Get in/out of bed
R Use Eqp-Get in/out of bed
R Use Eqp-Get in/out of bed
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2BEDE
S3BEDE
S4BEDE
S5BEDE
S6BEDE
S7BEDE
S8BEDE
S9BEDE
S10BEDE
S11BEDE
S2BEDE:W2 S
S3BEDE:W3 S
S4BEDE:W4 S
S5BEDE:W5 S
S6BEDE:W6 S
S7BEDE:W7 S
S8BEDE:W8 S
S9BEDE:W9 S
S10BEDE:W10
S11BEDE:W11
Use Eqp-Get in/out of bed
Use Eqp-Get in/out of bed
Use Eqp-Get in/out of bed
Use Eqp-Get in/out of bed
Use Eqp-Get in/out of bed
Use Eqp-Get in/out of bed
Use Eqp-Get in/out of bed
Use Eqp-Get in/out of bed
S Use Eqp-Get in/out of bed
S Use Eqp-Get in/out of bed
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2TOILT
R3TOILT
R4TOILT
R5TOILT
R6TOILT
R7TOILT
R8TOILT
R9TOILT
R10TOILT
R11TOILT
R2TOILT:W2 R
R3TOILT:W3 R
R4TOILT:W4 R
R5TOILT:W5 R
R6TOILT:W6 R
R7TOILT:W7 R
R8TOILT:W8 R
R9TOILT:W9 R
R10TOILT:W10
R11TOILT:W11
Diff-Using the toilet
Diff-Using the toilet
Diff-Using the toilet
Diff-Using the toilet
Diff-Using the toilet
Diff-Using the toilet
Diff-Using the toilet
Diff-Using the toilet
R Diff-Using the toilet
R Diff-Using the toilet
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2TOILT
S3TOILT
S4TOILT
S5TOILT
S6TOILT
S7TOILT
S8TOILT
S9TOILT
S10TOILT
S11TOILT
S2TOILT:W2 S
S3TOILT:W3 S
S4TOILT:W4 S
S5TOILT:W5 S
S6TOILT:W6 S
S7TOILT:W7 S
S8TOILT:W8 S
S9TOILT:W9 S
S10TOILT:W10
S11TOILT:W11
Diff-Using the toilet
Diff-Using the toilet
Diff-Using the toilet
Diff-Using the toilet
Diff-Using the toilet
Diff-Using the toilet
Diff-Using the toilet
Diff-Using the toilet
S Diff-Using the toilet
S Diff-Using the toilet
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2TOILTH
R3TOILTH
R4TOILTH
R5TOILTH
R6TOILTH
R7TOILTH
R8TOILTH
R9TOILTH
R10TOILTH
R11TOILTH
R2TOILTH:W2 R
R3TOILTH:W3 R
R4TOILTH:W4 R
R5TOILTH:W5 R
R6TOILTH:W6 R
R7TOILTH:W7 R
R8TOILTH:W8 R
R9TOILTH:W9 R
R10TOILTH:W10
R11TOILTH:W11
2
3
S2TOILTH
S3TOILTH
S2TOILTH:W2 S Gets Help-Using the toilet
S3TOILTH:W3 S Gets Help-Using the toilet
Gets Help-Using the toilet
Gets Help-Using the toilet
Gets Help-Using the toilet
Gets Help-Using the toilet
Gets Help-Using the toilet
Gets Help-Using the toilet
Gets Help-Using the toilet
Gets Help-Using the toilet
R Gets Help-Using the toilet
R Gets Help-Using the toilet
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Section B: Health
4
5
6
7
8
9
10
11
285
S4TOILTH
S5TOILTH
S6TOILTH
S7TOILTH
S8TOILTH
S9TOILTH
S10TOILTH
S11TOILTH
S4TOILTH:W4 S
S5TOILTH:W5 S
S6TOILTH:W6 S
S7TOILTH:W7 S
S8TOILTH:W8 S
S9TOILTH:W9 S
S10TOILTH:W10
S11TOILTH:W11
Gets Help-Using the toilet
Gets Help-Using the toilet
Gets Help-Using the toilet
Gets Help-Using the toilet
Gets Help-Using the toilet
Gets Help-Using the toilet
S Gets Help-Using the toilet
S Gets Help-Using the toilet
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
R1WALKR
R2WALKR
R3WALKR
R4WALKR
R5WALKR
R6WALKR
R7WALKR
R8WALKR
R9WALKR
R10WALKR
R11WALKR
12652
19286
17950
21355
19548
18155
20117
18458
17206
21898
20519
1.08
0.11
0.09
0.09
0.10
0.11
0.10
0.10
0.11
0.09
0.09
0.46
0.49
0.42
0.45
0.52
0.49
0.46
0.46
0.51
0.40
0.36
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S1WALKR
S2WALKR
S3WALKR
S4WALKR
S5WALKR
S6WALKR
S7WALKR
S8WALKR
S9WALKR
S10WALKR
S11WALKR
9900
12818
11903
13970
12721
11635
12969
11734
10644
13436
12477
1.07
0.07
0.06
0.06
0.06
0.07
0.06
0.06
0.07
0.06
0.06
0.44
0.42
0.37
0.36
0.36
0.38
0.36
0.33
0.39
0.34
0.31
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
R2WALKRH
R3WALKRH
R4WALKRH
R5WALKRH
R6WALKRH
R7WALKRH
R8WALKRH
R9WALKRH
R10WALKRH
R11WALKRH
8221
1342
1567
1531
1527
1548
1535
1488
1788
1682
0.14
0.43
0.40
0.41
0.43
0.44
0.42
0.43
0.51
0.51
0.68
0.49
0.49
0.49
0.50
0.50
0.49
0.50
0.50
0.50
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
1.0
1.0
1.0
1.0
2.0
1.0
1.0
1.0
1.0
S2WALKRH
S3WALKRH
S4WALKRH
S5WALKRH
S6WALKRH
S7WALKRH
S8WALKRH
S9WALKRH
S10WALKRH
S11WALKRH
4348
590
643
653
636
642
633
554
718
695
0.12
0.41
0.42
0.42
0.42
0.44
0.43
0.43
0.52
0.50
0.66
0.49
0.49
0.49
0.49
0.50
0.50
0.50
0.50
0.50
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
1.0
1.0
1.0
1.0
2.0
1.0
1.0
1.0
1.0
8221
11612
10330
9722
0.20
0.17
0.22
0.24
0.59
0.38
0.42
0.43
0.0
0.0
0.0
0.0
9.0
1.0
1.0
1.0
R2WALKRE
R3WALKRE
R4WALKRE
R5WALKRE
Mean
Std Dev
Minimum
Maximum
Section B: Health
286
R6WALKRE
R7WALKRE
R8WALKRE
R9WALKRE
R10WALKRE
R11WALKRE
9574
10283
9846
9229
11083
10316
0.26
0.25
0.26
0.27
0.27
0.30
0.44
0.43
0.44
0.45
0.45
0.46
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
S2WALKRE
S3WALKRE
S4WALKRE
S5WALKRE
S6WALKRE
S7WALKRE
S8WALKRE
S9WALKRE
S10WALKRE
S11WALKRE
4348
7143
5977
5601
5431
5849
5523
5021
6046
5537
0.15
0.12
0.16
0.17
0.19
0.18
0.18
0.19
0.21
0.23
0.57
0.32
0.37
0.37
0.39
0.39
0.39
0.39
0.40
0.42
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R1DRESS
R2DRESS
R3DRESS
R4DRESS
R5DRESS
R6DRESS
R7DRESS
R8DRESS
R9DRESS
R10DRESS
R11DRESS
12652
19638
17950
21353
19549
18153
20115
18453
17207
21899
20523
1.05
0.08
0.12
0.12
0.13
0.13
0.12
0.13
0.13
0.13
0.12
0.33
0.39
0.43
0.46
0.54
0.49
0.47
0.48
0.50
0.41
0.40
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S1DRESS
S2DRESS
S3DRESS
S4DRESS
S5DRESS
S6DRESS
S7DRESS
S8DRESS
S9DRESS
S10DRESS
S11DRESS
9900
13087
11903
13970
12723
11635
12970
11733
10644
13438
12482
1.04
0.05
0.09
0.09
0.10
0.09
0.08
0.10
0.10
0.09
0.09
0.31
0.34
0.38
0.40
0.40
0.37
0.37
0.37
0.43
0.33
0.35
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
R2DRESSH
R3DRESSH
R4DRESSH
R5DRESSH
R6DRESSH
R7DRESSH
R8DRESSH
R9DRESSH
R10DRESSH
R11DRESSH
8221
1883
2196
2095
1939
2009
2060
1938
2573
2318
0.19
0.52
0.53
0.53
0.56
0.57
0.55
0.55
0.57
0.59
0.73
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.49
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2DRESSH
S3DRESSH
S4DRESSH
S5DRESSH
S6DRESSH
S7DRESSH
S8DRESSH
S9DRESSH
S10DRESSH
S11DRESSH
4348
953
1116
1061
930
977
1015
881
1225
1063
0.18
0.55
0.53
0.52
0.57
0.58
0.57
0.54
0.59
0.59
0.73
0.50
0.50
0.50
0.50
0.49
0.50
0.50
0.49
0.49
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Section B: Health
287
R1BATH
R2BATH
R3BATH
R4BATH
R5BATH
R6BATH
R7BATH
R8BATH
R9BATH
R10BATH
R11BATH
12652
19634
17950
21350
19551
18154
20112
18455
17207
21897
20525
1.08
0.08
0.09
0.10
0.10
0.11
0.10
0.10
0.10
0.09
0.09
0.47
0.39
0.43
0.44
0.49
0.48
0.45
0.44
0.44
0.36
0.36
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S1BATH
S2BATH
S3BATH
S4BATH
S5BATH
S6BATH
S7BATH
S8BATH
S9BATH
S10BATH
S11BATH
9900
13084
11903
13969
12724
11635
12969
11732
10644
13436
12483
1.06
0.05
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.06
0.41
0.30
0.31
0.33
0.33
0.33
0.34
0.28
0.34
0.28
0.29
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
R2BATHH
R3BATHH
R4BATHH
R5BATHH
R6BATHH
R7BATHH
R8BATHH
R9BATHH
R10BATHH
R11BATHH
8219
1390
1758
1617
1549
1599
1530
1497
1873
1794
0.23
0.65
0.60
0.64
0.69
0.66
0.65
0.66
0.64
0.65
0.80
0.48
0.49
0.48
0.46
0.47
0.48
0.47
0.48
0.48
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2BATHH
S3BATHH
S4BATHH
S5BATHH
S6BATHH
S7BATHH
S8BATHH
S9BATHH
S10BATHH
S11BATHH
4347
567
727
637
588
617
593
537
718
680
0.17
0.63
0.58
0.62
0.68
0.64
0.65
0.61
0.65
0.61
0.69
0.48
0.49
0.49
0.47
0.48
0.48
0.49
0.48
0.49
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R1EAT
R2EAT
R3EAT
R4EAT
R5EAT
R6EAT
R7EAT
R8EAT
R9EAT
R10EAT
R11EAT
12652
19639
17951
21353
19555
18154
20110
18456
17206
21895
20531
1.02
0.02
0.05
0.05
0.05
0.05
0.05
0.06
0.05
0.05
0.06
0.23
0.21
0.31
0.34
0.41
0.38
0.39
0.41
0.38
0.37
0.37
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S1EAT
S2EAT
S3EAT
S4EAT
9900
13085
11903
13969
1.02
0.01
0.03
0.03
0.22
0.19
0.26
0.27
1.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
Section B: Health
S5EAT
S6EAT
S7EAT
S8EAT
S9EAT
S10EAT
S11EAT
288
12725
11634
12971
11733
10643
13435
12485
0.03
0.03
0.03
0.03
0.03
0.03
0.04
0.31
0.29
0.27
0.27
0.31
0.26
0.28
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
R2EATH
R3EATH
R4EATH
R5EATH
R6EATH
R7EATH
R8EATH
R9EATH
R10EATH
R11EATH
8221
691
826
749
752
776
795
724
956
916
0.11
0.60
0.60
0.68
0.63
0.63
0.64
0.62
0.52
0.55
0.54
0.49
0.49
0.47
0.48
0.48
0.48
0.48
0.50
0.50
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2EATH
S3EATH
S4EATH
S5EATH
S6EATH
S7EATH
S8EATH
S9EATH
S10EATH
S11EATH
4348
305
362
312
290
301
319
256
376
378
0.08
0.59
0.64
0.67
0.65
0.63
0.64
0.60
0.51
0.54
0.50
0.49
0.48
0.47
0.48
0.48
0.48
0.49
0.50
0.50
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R1BED
R2BED
R3BED
R4BED
R5BED
R6BED
R7BED
R8BED
R9BED
R10BED
R11BED
12652
19631
17950
21352
19551
18150
20114
18455
17202
21891
20520
1.12
0.07
0.08
0.09
0.09
0.09
0.08
0.09
0.09
0.09
0.09
0.50
0.38
0.35
0.39
0.43
0.45
0.40
0.42
0.41
0.38
0.41
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S1BED
S2BED
S3BED
S4BED
S5BED
S6BED
S7BED
S8BED
S9BED
S10BED
S11BED
9900
13081
11903
13969
12724
11633
12970
11731
10644
13434
12479
1.11
0.06
0.06
0.06
0.06
0.06
0.05
0.07
0.06
0.06
0.07
0.47
0.37
0.30
0.31
0.34
0.33
0.33
0.35
0.35
0.29
0.34
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
8220
1353
1568
1402
1316
1343
1377
1257
1748
0.10
0.40
0.39
0.43
0.47
0.48
0.46
0.49
0.50
0.56
0.49
0.49
0.49
0.50
0.50
0.50
0.50
0.50
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2BEDH
R3BEDH
R4BEDH
R5BEDH
R6BEDH
R7BEDH
R8BEDH
R9BEDH
R10BEDH
Section B: Health
289
R11BEDH
1664
0.53
0.50
0.0
1.0
S2BEDH
S3BEDH
S4BEDH
S5BEDH
S6BEDH
S7BEDH
S8BEDH
S9BEDH
S10BEDH
S11BEDH
4347
645
746
667
582
604
660
522
792
756
0.09
0.39
0.38
0.40
0.47
0.49
0.44
0.44
0.51
0.51
0.57
0.49
0.49
0.49
0.50
0.50
0.50
0.50
0.50
0.50
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2BEDE
R3BEDE
R4BEDE
R5BEDE
R6BEDE
R7BEDE
R8BEDE
R9BEDE
R10BEDE
R11BEDE
8220
11611
10328
9722
9566
10279
9838
9225
11073
10310
0.06
0.07
0.09
0.09
0.11
0.10
0.10
0.10
0.11
0.12
0.38
0.25
0.28
0.29
0.31
0.30
0.31
0.31
0.31
0.33
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2BEDE
S3BEDE
S4BEDE
S5BEDE
S6BEDE
S7BEDE
S8BEDE
S9BEDE
S10BEDE
S11BEDE
4347
7143
5977
5603
5429
5849
5521
5021
6043
5535
0.05
0.05
0.06
0.06
0.07
0.06
0.07
0.07
0.08
0.09
0.42
0.21
0.23
0.24
0.26
0.24
0.25
0.25
0.27
0.28
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2TOILT
R3TOILT
R4TOILT
R5TOILT
R6TOILT
R7TOILT
R8TOILT
R9TOILT
R10TOILT
R11TOILT
8218
17950
21347
19548
18148
20113
18455
17202
21886
20530
0.05
0.07
0.08
0.08
0.09
0.08
0.10
0.09
0.08
0.08
0.28
0.37
0.41
0.44
0.49
0.49
0.51
0.52
0.41
0.42
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
2.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S2TOILT
S3TOILT
S4TOILT
S5TOILT
S6TOILT
S7TOILT
S8TOILT
S9TOILT
S10TOILT
S11TOILT
4347
11902
13967
12725
11631
12968
11731
10644
13432
12485
0.03
0.05
0.05
0.05
0.05
0.05
0.06
0.05
0.05
0.06
0.23
0.30
0.34
0.34
0.35
0.37
0.39
0.37
0.31
0.37
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
2.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
R2TOILTH
R3TOILTH
R4TOILTH
R5TOILTH
R6TOILTH
R7TOILTH
8219
1064
1334
1251
1190
1221
0.06
0.36
0.34
0.35
0.39
0.37
0.41
0.48
0.48
0.48
0.49
0.48
0.0
0.0
0.0
0.0
0.0
0.0
3.0
1.0
1.0
1.0
1.0
1.0
Section B: Health
290
R8TOILTH
R9TOILTH
R10TOILTH
R11TOILTH
1343
1200
1544
1453
0.33
0.37
0.33
0.38
0.47
0.48
0.47
0.48
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
S2TOILTH
S3TOILTH
S4TOILTH
S5TOILTH
S6TOILTH
S7TOILTH
S8TOILTH
S9TOILTH
S10TOILTH
S11TOILTH
4347
460
607
571
483
503
565
470
615
586
0.05
0.35
0.33
0.30
0.37
0.35
0.30
0.31
0.31
0.34
0.37
0.48
0.47
0.46
0.48
0.48
0.46
0.46
0.46
0.47
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
3.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Categorical Variable Codes
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
R3WALKR
2
3
36
16607
1159
165
19
R4WALKR
1
S3WALKR
S4WALKR
1
28
19789
1338
199
29
R5WALKR
5
3
23
18021
1317
166
44
R6WALKR
3
S5WALKR
2
2
5
6538
311
12070
579
61
11
S6WALKR
1
7
16630
1336
156
33
R7WALKR
1
1
10
18562
1361
164
30
R8WALKR
2
2
7
16922
1327
183
26
R9WALKR
1
1
9
15719
1310
142
35
R10WALKR
4
1
131
20113
1667
98
20
R11WALKR
15
2
18
18845
1564
99
11
S7WALKR
1
1
1
6777
380
12326
574
57
12
S8WALKR
S9WALKR
S10WALKR
2
S11WALKR
9
1
6417
317
11100
563
65
6
2
6206
365
10090
500
42
12
79
7795
722
12719
680
27
10
4
7473
591
11789
643
40
5
Value----------------------|R1WALKR
1.Not at all diff
|12102
2.A little diff
|295
3.Somewhat diff
|152
4.Very diff/cant do
|87
9. Dont do
|16
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
9. Dont do
|
R2WALKR
354
1
1
17954
727
579
4
1
21
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
1
11
5658
418
11310
504
78
11
Value----------------------|S1WALKR
.U=Unmar
|2373
.V=Sp NR
|379
1.Not at all diff
|9533
2.A little diff
|202
3.Somewhat diff
|96
4.Very diff/cant do
|55
9. Dont do
|14
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
S2WALKR
268
1
1
5970
584
12215
336
252
2
7
6869
537
13328
552
78
12
3
6306
220
11000
571
52
12
Section B: Health
4.Yes,RF how much
9. Dont do
291
|
|
Value----------------------|
.M=Oth missing
|
.Q=Not asked this wv
|
0.No
|
1.Yes,occasionally
|
2.Yes,some of the time
|
3.Yes,most of the time
|
9. Dont do
|
1
12
R2WALKRH
1
11420
7711
194
112
183
21
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.no
|
1.yes
|
2.Cant do
|
Value----------------------|
.M=Oth missing
|
.Q=Not asked this wv
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,occasionally
|
2.Yes,some of the time
|
3.Yes,most of the time
|
9. Dont do
|
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.no
|
1.yes
|
2.Cant do
|
R3WALKRH R4WALKRH R5WALKRH R6WALKRH R7WALKRH
1
1
1
3
1
1
3
1
16646
19817
18044
16637
18572
5
770
938
907
870
876
572
629
624
657
669
3
2
16929
15728
1
20244
1
18863
892
643
841
647
881
907
819
863
S9WALKRH
S10WALKRH S11WALKRH
1
2
10092
6206
365
12798
7795
722
11793
7473
591
315
239
346
372
349
346
S3WALKRH S4WALKRH S5WALKRH S6WALKRH S7WALKRH S8WALKRH
1
1
1
2
1
11323
13335
12075
11003
12327
11101
5658
6869
6538
6306
6777
6417
418
537
311
220
380
317
2
349
374
380
371
362
362
241
269
273
265
278
271
2
R2WALKRE R3WALKRE
1
1
11420
1
6377
6733
9614
1467
1998
21
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0. No
|
1. Yes
|
9. Dont do
|
S2WALKRE S3WALKRE S4WALKRE
2
1
9123
1
4771
7999
5970
5658
6869
200
418
537
3778
6307
5016
558
836
961
12
Value----------------------|R1DRESS
1.Not at all diff
|12278
2.A little diff
|238
3.Somewhat diff
|85
R10WALKRH R11WALKRH
1
8
S2WALKRH
1
9123
5970
200
4121
84
51
80
12
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
0. No
|
1. Yes
|
9. Dont do
|
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
R8WALKRH R9WALKRH
3
1
R3DRESS
3
1
1
36
16068
1719
148
15
R4WALKRE R5WALKRE R6WALKRE R7WALKRE R8WALKRE R9WALKRE
3
2
2
1
1
11051
8007
2323
3
9852
7379
2343
8589
7107
2467
1
9845
7693
2590
2
8620
7276
2570
7987
6716
2513
R10WALKRE R11WALKRE
3
7
1
10947
8038
3045
1
10230
7208
3108
S5WALKRE S6WALKRE S7WALKRE S8WALKRE S9WALKRE
1
1
S10WALKRE S11WALKRE
1
2
2
7127
6538
311
4655
946
6207
6306
220
4423
1008
1
7122
6777
380
4772
1077
6211
6417
317
4513
1010
5625
6206
365
4066
955
7470
7795
722
4802
1244
6951
7473
591
4273
1264
R4DRESS
3
R5DRESS
6
R6DRESS
5
R7DRESS
3
R8DRESS
7
R9DRESS
1
R10DRESS
2
R11DRESS
10
28
19160
1981
185
27
1
23
17458
1917
130
44
7
16216
1790
118
29
1
10
18104
1850
131
30
2
7
16398
1889
140
26
9
15269
1798
110
30
2
131
19328
2495
60
16
3
18
18212
2237
60
14
Section B: Health
4.Very diff/cant do
9. Dont do
292
|44
|7
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
9. Dont do
|
R2DRESS
3
1
18574
690
363
11
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
S3DRESS
S4DRESS
1
S5DRESS
1
1
5
6538
311
11662
997
52
12
S6DRESS
1
S7DRESS
S9DRESS
S10DRESS
S11DRESS
4
1
6417
317
10719
949
58
7
2
6206
365
9762
834
34
14
79
7795
722
12213
1202
19
4
4
7473
591
11421
1028
27
6
R9DRESSH
1
R10DRESSH
1
1
19459
1114
1459
R11DRESSH
4
2
18230
959
1359
1
11
5658
418
10949
884
62
8
7
6869
537
12855
1026
76
13
R3DRESSH
3
1
16104
897
986
R4DRESSH R5DRESSH
1
2
19188
17481
1039
993
1157
1102
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.no
|
1.yes
|
S3DRESSH
1
1
10960
5658
418
433
520
S4DRESSH S5DRESSH S6DRESSH
1
2
12862
11667
10708
6869
6538
6306
537
311
220
520
514
403
596
547
527
S7DRESSH
1
2
11992
6777
380
409
568
S8DRESSH S9DRESSH
1
S10DRESSH S11DRESSH
2
10720
6417
317
440
575
9764
6206
365
402
479
12292
7795
722
503
722
11425
7473
591
441
622
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
R3BATH
3
1
1
36
R4BATH
6
R5BATH
5
R6BATH
4
R7BATH
5
R8BATH
5
R9BATH
1
R10BATH
5
R11BATH
9
28
23
7
2
10
2
7
9
1
131
2
18
3
6306
220
10705
880
42
8
1
1
6777
380
11991
919
51
9
S8DRESS
1
Value----------------------|S1DRESS
.U=Unmar
|2373
.V=Sp NR
|379
1.Not at all diff
|9655
2.A little diff
|152
3.Somewhat diff
|55
4.Very diff/cant do
|33
9. Dont do
|5
Value----------------------|
.M=Oth missing
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
9. Dont do
|
S2DRESS
1
5970
584
12603
322
154
8
Value----------------------|
.M=Oth missing
|
.Q=Not asked this wv
|
0.No
|
1.Yes,occasionally
|
2.Yes,some of the time
|
3.Yes,most of the time
|
9. Dont do
|
R2DRESSH
1
11420
7560
157
150
343
11
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
0.no
|
1.yes
|
Value----------------------|
.M=Oth missing
|
.Q=Not asked this wv
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,occasionally
|
2.Yes,some of the time
|
3.Yes,most of the time
|
9. Dont do
|
R6DRESSH R7DRESSH R8DRESSH
3
4
2
2
2
16223
18114
16405
850
866
917
1089
1143
1143
15278
873
1065
S2DRESSH
1
9123
5970
200
4036
79
64
161
8
Section B: Health
0.No
1.Yes
2.Cant do
9. Dont do
293
|
|
|
|
16562
1232
135
21
19595
1551
178
26
17936
1463
115
37
16608
1397
117
32
18514
1455
113
30
16929
1379
123
24
15711
1367
107
22
20028
1791
67
11
18736
1723
55
11
S3BATH
S4BATH
2
S5BATH
1
S6BATH
1
S7BATH
S8BATH
2
S9BATH
S10BATH
2
7
6869
537
13243
647
71
8
5
6538
311
12087
585
44
8
3
6306
220
11048
542
37
8
1
6417
317
11141
544
44
3
2
6206
365
10107
499
30
8
79
7795
722
12720
692
20
4
S11BATH
2
1
4
7473
591
11804
654
21
4
R3BATHH
2
1
16598
R4BATHH
3
R5BATHH
3
R6BATHH
1
R9BATHH
19623
17959
16615
R8BATHH
1
2
16936
15720
R10BATHH
1
1
20159
R11BATHH
4
2
18754
483
907
695
1063
576
1041
474
1075
529
1001
507
990
671
1202
632
1162
Value----------------------|R1BATH
1.Not at all diff
|12081
2.A little diff
|268
3.Somewhat diff
|172
4.Very diff/cant do
|118
9. Dont do
|13
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
4.Yes,RF how much
|
9. Dont do
|
R2BATH
7
1
18642
519
464
1
8
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
1
11
5658
418
11336
510
51
6
2
1
6777
380
12352
576
31
10
Value----------------------|S1BATH
.U=Unmar
|2373
.V=Sp NR
|379
1.Not at all diff
|9555
2.A little diff
|166
3.Somewhat diff
|101
4.Very diff/cant do
|70
9. Dont do
|8
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
9. Dont do
|
S2BATH
3
1
5970
584
12651
238
192
3
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
0.No
|
1.Yes,occasionally
|
2.Yes,some of the time
|
3.Yes,most of the time
|
9. Dont do
|
R2BATHH
2
1
11420
7511
96
91
513
8
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.no
|
1.yes
|
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,occasionally
|
2.Yes,some of the time
|
3.Yes,most of the time
|
9. Dont do
|
S2BATHH
1
1
9123
5970
200
4076
33
34
201
3
R7BATHH
4
1
18524
1
539
1060
Section B: Health
294
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.no
|
1.yes
|
S3BATHH
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
S4BATHH
1
S5BATHH
1
S6BATHH
S7BATHH
S8BATHH
S9BATHH
S10BATHH
11142
6417
317
10109
6206
365
12799
7795
722
S11BATHH
1
1
11808
7473
591
1
11347
5658
418
13250
6869
537
12092
6538
311
11051
6306
220
210
357
302
425
242
395
191
397
1
12353
6777
380
1
224
393
208
385
210
327
248
470
263
417
R3EAT
3
1
36
17260
607
74
10
R4EAT
3
R5EAT
1
R6EAT
4
R7EAT
9
R9EAT
2
10
19340
672
71
27
R8EAT
3
3
7
17662
697
69
28
9
16483
651
51
21
R10EAT
7
1
131
20941
888
41
25
R11EAT
4
1
18
19617
852
39
23
28
20529
717
89
18
23
18805
657
63
30
7
17405
663
64
22
S3EAT
S4EAT
2
S5EAT
S6EAT
2
S7EAT
S8EAT
S9EAT
1
S10EAT
3
S11EAT
1
7
6869
537
13608
315
39
7
5
6538
311
12413
274
27
11
3
6306
220
11346
258
22
8
1
6777
380
12670
271
23
7
1
1
6417
317
11414
290
23
6
2
6206
365
10388
233
13
9
79
7795
722
13061
351
17
6
4
7473
591
12106
354
18
7
R4EATH
1
R5EATH
2
R6EATH
1
R7EATH
3
R8EATH
2
R9EATH
1
R10EATH
5
R11EATH
2
1
1
Value----------------------|R1EAT
1.Not at all diff
|12529
2.A little diff
|78
3.Somewhat diff
|21
4.Very diff/cant do
|19
9. Dont do
|5
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
4.Yes,RF how much
|
9. Dont do
|
R2EAT
1
1
1
19410
130
94
1
4
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
1
11
5658
418
11597
268
33
5
Value----------------------|S1EAT
.U=Unmar
|2373
.V=Sp NR
|379
1.Not at all diff
|9819
2.A little diff
|50
3.Somewhat diff
|13
4.Very diff/cant do
|14
9. Dont do
|4
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
4.Yes,RF how much
|
9. Dont do
|
S2EAT
1
1
1
5970
584
12989
52
40
1
3
Value----------------------|
.M=Oth missing
|
.Q=Not asked this wv
|
0.No
|
1.Yes,occasionally
|
2.Yes,some of the time
|
3.Yes,most of the time
|
9. Dont do
|
R2EATH
1
11420
7858
94
58
207
4
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
R3EATH
2
1
1
3
Section B: Health
.S=Skip
0.no
1.yes
295
|
|
|
Value----------------------|
.M=Oth missing
|
.Q=Not asked this wv
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,occasionally
|
2.Yes,some of the time
|
3.Yes,most of the time
|
9. Dont do
|
17296
277
414
20557
334
492
18828
243
506
17412
276
476
19350
289
487
17669
284
511
16492
272
452
21072
460
496
19635
409
507
S3EATH
S4EATH
1
S5EATH
S6EATH
S7EATH
S8EATH
S9EATH
S10EATH
1
S11EATH
2
13615
6869
537
130
232
12418
6538
311
103
209
11349
6306
220
102
188
12671
6777
380
111
190
1
11415
6417
317
115
204
10390
6206
365
103
153
13140
7795
722
183
193
12110
7473
591
173
205
R8BED
4
3
7
17080
1248
106
21
R9BED
6
R10BED
11
1
131
20149
1670
55
17
R11BED
14
2
18
18871
1584
41
24
S8BED
2
1
1
6417
317
11072
616
34
9
S9BED
S10BED
4
2
6206
365
10122
492
21
9
79
7795
722
12644
768
18
4
S11BED
6
1
4
7473
591
11730
720
20
9
S2EATH
1
9123
5970
200
4195
43
28
79
3
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.no
|
1.yes
|
1
1
11608
5658
418
125
180
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
R3BED
4
1
36
16599
1250
92
9
R4BED
4
R5BED
5
R6BED
8
R7BED
5
28
19783
1436
115
18
23
18150
1284
90
27
7
16840
1185
97
28
10
18773
1222
97
22
S3BED
S4BED
2
S5BED
1
S6BED
3
S7BED
1
7
6869
537
13220
697
46
6
5
6538
311
12057
626
32
9
3
6306
220
11053
542
30
8
1
6777
380
12366
562
33
9
9
15949
1148
87
18
Value----------------------|R1BED
1.Not at all diff
|11672
2.A little diff
|575
3.Somewhat diff
|277
4.Very diff/cant do
|118
9. Dont do
|10
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
9. Dont do
|
R2BED
8
1
2
18622
650
344
1
3
11
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
1
11
5658
418
11258
603
38
4
Value----------------------|S1BED
.U=Unmar
|2373
.V=Sp NR
|379
1.Not at all diff
|9235
2.A little diff
|403
3.Somewhat diff
|179
4.Very diff/cant do
|76
9. Dont do
|7
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
S2BED
4
1
2
5970
584
12557
347
164
Section B: Health
3.Yes,DK/NA how much
4.Yes,RF how much
9. Dont do
296
|
|
|
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
0.No
|
1.Yes,occasionally
|
2.Yes,some of the time
|
3.Yes,most of the time
|
9. Dont do
|
1
3
9
R2BEDH
1
1
11420
7917
70
48
175
10
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.no
|
1.yes
|
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,occasionally
|
2.Yes,some of the time
|
3.Yes,most of the time
|
9. Dont do
|
R4BEDH
5
R5BEDH
4
R6BEDH
2
R7BEDH
2
19811
18173
16847
812
541
951
617
803
599
693
623
18783
1
698
645
S3BEDH
S4BEDH
5
S5BEDH
1
S6BEDH
1
S7BEDH
1
11269
5658
418
13227
6869
537
12062
6538
311
11056
6306
220
392
253
461
285
397
270
308
274
12367
6777
380
1
306
298
R3BEDE
1
1
R4BEDE
4
R5BEDE
4
R6BEDE
10
1
6377
10818
793
1
11051
9446
882
1
9852
8808
914
S3BEDE
S4BEDE
1
1
4771
5658
418
6816
327
1
7999
6869
537
5633
344
R3TOILT
4
1
36
16886
954
95
15
R4TOILT
8
1
28
20015
1203
103
26
R8BEDH
2
3
17087
R9BEDH
2
15958
R10BEDH
5
1
20280
R11BEDH
1
18889
741
636
639
618
878
870
785
879
S8BEDH
1
1
11073
6417
317
S9BEDH
S10BEDH
2
S11BEDH
10124
6206
365
12723
7795
722
11734
7473
591
372
288
292
230
388
404
368
388
R7BEDE
5
R8BEDE
7
R9BEDE
5
R10BEDE
12
R11BEDE
12
8589
8554
1012
9845
9281
998
4
8620
8816
1022
7987
8258
967
2
10947
9864
1209
2
10230
9057
1253
S5BEDE
S6BEDE
3
S7BEDE
1
S8BEDE
2
S10BEDE
3
S11BEDE
3
7127
6538
311
5258
345
6207
6306
220
5045
384
7122
6777
380
5490
359
1
6211
6417
317
5143
378
1
7470
7795
722
5578
465
1
6951
7473
591
5056
479
R5TOILT
8
R6TOILT
9
1
7
16962
1063
84
39
R7TOILT
5
1
10
18890
1103
77
43
R8TOILT
3
4
7
17115
1213
86
41
R10TOILT
15
2
131
20351
1462
47
26
R11TOILT
4
2
18
19070
1398
35
27
S2BEDH
1
1
9123
5970
200
4210
35
18
76
8
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.no
|
1.yes
|
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
0. No
|
1. Yes
|
9. Dont do
|
R2BEDE
1
1
11420
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0. No
|
1. Yes
|
9. Dont do
|
S2BEDE
1
1
9123
7813
397
10
5970
200
4191
148
8
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.R=RF
|
0.No
|
R3BEDH
2
1
16635
R2TOILT
2
1
11420
1
7925
23
18300
1135
83
30
S9BEDE
5625
6206
365
4686
335
R9TOILT
6
9
16005
1091
63
43
Section B: Health
1.Yes,a little
2.Yes,a lot
297
|
|
161
132
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
S2TOILT
1
1
9123
5970
200
4243
57
47
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.R=RF
|
0.No
|
1.Yes,occasionally
|
2.Yes,some of the time
|
3.Yes,most of the time
|
R2TOILTH
1
1
11420
1
8009
35
43
132
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.no
|
1.yes
|
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,occasionally
|
2.Yes,some of the time
|
3.Yes,most of the time
|
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.no
|
1.yes
|
S3TOILT
1
1
11
5658
418
11442
408
46
6
S4TOILT
3
1
7
6869
537
13359
554
43
11
R3TOILTH
3
2
16922
R4TOILTH
6
1
20043
679
385
874
460
S3TOILTH
1
1
11453
5658
418
S4TOILTH
4
1
13366
6869
537
297
163
409
198
S5TOILT
5
6538
311
12154
530
30
11
S6TOILT
4
1
3
6306
220
11150
444
26
11
S7TOILT
2
1
1
6777
380
12462
471
20
15
S8TOILT
1
2
1
6417
317
11167
525
24
15
S9TOILT
2
6206
365
10174
439
19
12
S10TOILT
5
1
79
7795
722
12821
587
16
8
S11TOILT
1
4
7473
591
11895
561
15
14
R5TOILTH R6TOILTH R7TOILTH
4
6
3
1
1
18323
16969
18900
4
813
723
772
438
467
449
R8TOILTH R9TOILTH
3
4
17122
16014
R10TOILTH
6
2
20482
R11TOILTH
11
2
19088
897
446
1030
514
908
545
S5TOILTH S6TOILTH S7TOILTH
3
2
1
12159
11153
12463
6538
6306
6777
311
220
380
3
402
304
326
169
179
177
S8TOILTH S9TOILTH
762
438
S2TOILTH
1
1
9123
5970
200
4255
15
21
56
S10TOILTH S11TOILTH
2
5
2
11168
6417
317
10176
6206
365
12900
7795
722
11899
7473
591
394
171
325
145
423
192
388
198
How Constructed:
These variables recode the raw variables for difficulty with activities of daily living (ADLs) as they
appear in the HRS data except for missing values and accounting for skip patterns. The ADLs include
walking across a room (RwWALKR), dressing (RwDRESS), bathing (RwBATH), eating (RwEAT), getting in and out
of bed (RwBED), and using the toilet (RwTOILT). In the following, references to Rw[adl] apply to all
these variables. Also described here are variables coding whether the respondent gets help with ADLs
(Rw[adl]H, e.g., RwDRESSH) or uses equipment to walk across a room or get in and out of bed (RwWALKRE and
RwBEDE).
Note that questions about using the toilet are not asked in Waves 1 and 2H. Thus there is no R1TOILT
variable and for HRS respondents in Wave 2, R2TOILT is set to .Q (question not asked). Questions about
receiving help or using equipment are not asked in these waves for any of the ADLs. So in Wave 1, the
Section B: Health
298
variables R1[adl]H, R1WALKRE, or R1BEDE are not present, and for HRS respondents in Wave 2H, the
R2[adl]H, R2WALKRE, and R2BEDE variables are set to .Q.
The recodes vary across waves because the question and responses can vary across waves. In Wave 1, the
HRS imputations are left in place. In all other waves don’t know is recoded to special missing code .D
and refused is recoded to .R. In Wave 1 difficulty with an ADL is rated on a 4-point scale from no
difficulty to very difficult/can’t do. These are assigned without change. A "don’t do" answer is recoded
to 9.
In Wave 2, the question asks if R has any difficulty with an ADL and if so, asks followup questions about
the degree of difficulty. In Wave 2H, the raw variable codes both questions as one categorical variable.
In Wave 2A the answer to the first question and a categorical variable for the followup are given. In
either case, a "no" answer to the first question about any difficulty is recoded to 0, and the
categorical levels of difficulty are recoded appropriately to "a little" and "a lot", or "don’t
know/refused how much". A "don’t do" response is coded as 9.
From Wave 3 forward, the answers are simply yes for difficulty and no if not, which are coded 1 and 0,
respectively. A "can't do" response is recoded to 2 and a "don't do" response is recoded to 9. If the
response to the difficulty question is missing and R says yes to the followup question about getting help
with the ADL, then Rw[adl] is set to 1, or yes, difficulty.
In some waves, questions about activities are skipped based on answers to previous questions. In Waves 1
and 2H, if a respondent said no difficulty jogging a mile, walking several blocks, or walking one block,
the question about walking across a room is skipped. In these cases, RwWALKR is set to 0 for no
difficulty.
From Wave 3 forward, ADL questions are skipped if no difficulty was reported with any of the tasks asked
about earlier. In these cases, Rw[adl] is set to no difficulty. From Wave 4 forward, if difficulty with
only one prior task and no difficulty with dressing was reported, the questions about the rest of the
ADLs are skipped. In these cases, the rest of the Rw[adl] variables are also set to no difficulty. The
assumption is that, since the respondent had no difficulty with the earlier activities, he/she would also
have reported no difficulty the activities in the skipped questions.
In Wave 2A and from Wave 3 forward, there are questions about getting help with all ADLs and about use of
equipment for walking across a room and getting in and out of bed. The help variables are named
Rw[adl]H, e.g., RwWALKRH and the equipment variables are named RwWALKRE and RwBEDE. These are coded 1
for yes, 0 for no, .D for "don't know", and .R for refusals. If R reported no difficulty the help
question is skipped, and the help variable (e.g., RwWALKRH) is set to .S. The equipment question is asked
regardless of the answer to the difficulty question. If the difficulty question is skipped because of
previous answers, then both the help and equipment questions are also skipped and Rw[adl]H and
RwWALKRE/RwBEDE are set to .S.
In Wave 2A, the question about getting help was asked before the one about difficulty and using equipment
walking across a room. So if respondents answered "don't do" on getting help question, then both the
help and, if applicable, equipment variables, e.g., R2WALKRH and R2WALKRE, are set to 9. In other waves,
the question about help is asked even if the response to whether any difficulty is "don't do". In Wave 7
for the help questions, a mistake in the Spanish instrument allowed "can't do" and "don't do" responses,
which are recoded to 2 and 9, respectively.
For all waves when the help question is asked, if respondents answer yes to getting help and are missing
Rw[adl], we set Rw[adl] to yes.
In Wave 2H, the data needed to derive the help variables (R2[adl]H) and R2WALKRE/R2BEDE are not
collected. R2[adl]H and R2WALKRE/R2BEDE are set to .Q to indicate that this information is not available
for HRS respondents in this wave.
The spouse variables are taken from the spouse's self-reported Wave 'w' data. If R is not married,
spouse variables are set to .U=unmarried. If R's spouse did not respond then the variables are set to
.V=Spouse is non-response.
There are other versions of the Rw[adl] variables that recode to a yes/no measure for use in creating
indices. One version of this variable is derived that attempts to code a consistent cross-wave yes/no
dummy that indicates "some difficulty" (Rw[adl]A). These are available from Wave 2 forward. Because of
Section B: Health
299
the inconsistent coding of the underlying HRS data, we do not construct R1[adl]A variables in Wave 1.
Please see the description of the Rw[adl]A variables under "Activities of daily living (ADLs): Some
difficulty" for this version. Rw[adl]A variables are used to construct a number of functional limitation
indices, including an ADL summary index. Please see "ADL Summary" and "Other Summary Indices".
A third version of these variables are derived for Wave 1 only (R1[adl]W). They code a yes/no dummy that
indicates "any difficulty" in a manner used by Wallace and Herzog in their paper. These are provided for
comparison to the results found in that paper. Please see "ADLs: Recodes for comparison to Wallace and
Herzog" for a description of the R1[adl]W variables. Note that the Wallace and Herzog variables result
in more limitation than the 0/1 recodes done in other waves (Rw[adl]A) solely due to measurement
differences in the raw data. The R1[adl]W variables are not appropriate for comparison to the Rw[adl]A
variables in other waves.
Cross Wave Differences in Original HRS Data
Each wave has a series of questions about limits on activities of daily living (ADLs), but the ADLs, the
question wording, and possible answers vary.
In all waves questions ask about a number of activities, such as climbing stairs or picking up a dime. In
Wave 1 these include those identified as ADLs. The Wave 1 questions ask:
We are interested in how much difficulty people have with various activities because of a health or
physical problem. ... Exclude any difficulties that you expect to last less than three months. How
difficult is it for you to [...]? Is it not at all difficult, a little difficult, somewhat difficult,
very difficult, or something that you can't do at all?
The respondent can also answer "Don't do". The answers translate into 4 codes from 1 for not at all
difficult to 4 for very difficult/can't do. Another code is used for the "Don't do" response. The
specific wording for the ADLs is: walk across a room, get in and out of bed without help, bathe or shower
without help, eat without help, and dress without help.
In Wave 2H the ADL questions continue to be embedded among other activities as in Wave 1 but the question
and answers differ. The questions ask:
We are interested in how much difficulty people have with various activities because of a health or
physical problem. Please tell me how difficult each of the following activities is for you. Exclude any
difficulties that you expect to last less than three months. Do you have any difficulty with ...? [IF
YES] Is that a little difficulty or a lot of difficulty?
In the data the answers to the 2-part question are recoded into 5-categories: 1=yes, a little difficult;
2=yes, a lot; 3=yes, DK; 4=yes, RF; 5=No; 6=doesn't do. Note that there is no "Can't do" category and
that "Don't do" is not an option in the instrument. The "Doesn't do" category is likely the result of
post-interview interpretation of interview comments so may be observed less frequently than in other
waves, simply because of questionnaire differences. This does not appear to have a large impact among
the ADLs. The specific wording for the ADLs is: walking across the room, getting in and out of bed
without help, bathing or showering without help, eating without help, and dressing without help.
In Waves 1 and 2H, if the respondent reported no difficulty with jogging a mile, walking several blocks,
or walking one block, then the question about walking across the room is skipped.
In Wave 2A, the question asks:
We need to understand difficulties people may have with various activities because of a health or
physical problem. Please tell me whether you get help or have any difficulty doing each of the everyday
activities. If you never do that activity, just tell me so. Does anyone ever help you ...? Yes, No or
Don't do. [IF YES] Do you get help most of the time, some of the time, only occasionally?
The exact wording for the ADLs in the help question is: get across a room; get in and out of bed; bathe
or shower; dress, including putting on socks and shoes; eat, such as cutting up your food; and use the
toilet, including getting up and down.
Regardless of whether any difficulty is reported for walking across the room: Do you ever use equipment
or devices such as a cane, walker or wheelchair when crossing a room?
Section B: Health
300
Regardless of whether any difficulty is reported for getting in and out of bed: Do you ever use equipment
or devices such as a rail, cane, walker, wheelchair or lift to help you get in and out of bed?
And for walking across a room and getting in and out of bed: (Even when someone helps you/Even when using
the (EQUIPMENT)/Without any help or special equipment) do you have any difficulty [...]? Yes or No. [if
YES] Is that a lot or a little difficulty? The exact wording for the task is: walking across the room
and getting in and out of bed.
And for other ADLS: Do you have any difficulty [...](even when someone helps you/without any help)? Yes
or No. [if YES] Is that a lot or a little difficulty? The exact wording for these tasks is: bathing,
eating, dressing, and using the toilet.
Note that in Wave 2A, the question about getting help was asked before any difficulty and using
equipment. So if respondent answered "don't do" on the getting help question, then the questions on any
difficulty and equipment are skipped. Note that there is no "Can't do" category.
From Wave 3 forward, the questions about ADLs are removed from the initial list of activities. If the
respondent has no difficulty with any of these activities then the questions about ADLs are skipped.
Questions ask about ADLs ONLY if the respondent reported difficulty with some activity on the initial
list. The questions on ADLs ask:
Here are a few more everyday activities. Please tell me if you have any difficulty with these because of
a physical, mental, emotional or memory problem. Again exclude any difficulties you expect to last less
than three months. Because of a health or memory problem do you have any difficulty with ...?
The answers to the difficulty questions are simply yes, no, can't do, or don't do. The exact wording for
the ADLs is: walking across a room; dressing,including putting on socks and shoes; bathing or showering;
eating, such as cutting up your food; getting in and out of bed; and using the toilet, including getting
up and down.
Regardless of whether any difficulty is reported for walking across the room: Do you ever use equipment
or devices such as a cane, walker or wheelchair when crossing a room? Yes or No.
Regardless of whether any difficulty is reported for getting in and out of bed: Do you ever use equipment
or devices such as a cane, walker or railing when getting in or out of bed? Yes or No.
Unless the respondent reports having no difficulty with an ADL then he/she is asked:
Does anyone ever help you [...]? Yes or No. The exact wording for each of the ADLs is: get across a
room, dress, bathe, eat, get in or out of bed, and use the toilet.
From Wave 4 forward, the question organization and wording are the same as in Wave 3, with one exception.
If the first basic ADL, dressing, showed no difficulty, and among the prior tasks at most one difficulty
was reported, the rest of the basic ADLs of walking across a room, bathing, eating, getting in/out of
bed, and using the toilet were skipped.
In Wave 7, a mistake in the Spanish instrument allowed "can't do" and "don't do" responses for the help
questions, and a few of these responses are given for all of the ADLs except help with dressing and
eating.
For HRS respondents in Wave 1 and Wave 2H, the information for the equipment and help questions is not
available. For Wave 2H, R2WALKRE, R2BEDE, R2WALKRH, are set to .Q and only Wave 2A respondents have nonmissing values for these variables. Also not asked in Wave 1 and 2H are all the questions about using
the toilet, so for Wave 2H, R2TOILT and R2TOILTH are set to .Q.
HRS Variables Used
HRS 1992:
V304
V305
V306
V307
B4A:RUN OR JOG 1 MIL:IMP
B4B:WALK SEVERAL BLO:IMP
B4C:WALK 1 BLOCK
:IMP
B4D:WALK ACROSS A RO:IMP
Section B: Health
V310
V316
V319
V320
AHEAD 1993:
B768
B770
B773
B779
B781
B787
B789
B795
B797
B803
B808
B811
B814
B816
HRS 1994:
W306
W307
W308
W309
W312
W318
W321
W322
AHEAD 1995:
D1870
D1871
D1874
D1877
D1884
D1887
D1894
D1897
D1904
D1907
D1914
D1917
D1920
D1927
D1930
HRS 1996:
E1894
E1894
E1895
E1898
E1901
E1908
E1911
E1918
E1921
E1928
E1931
E1938
E1941
E1944
E1951
E1954
HRS 1998:
F2421
301
B4G:IN/OUT BED UNAID:IMP
B4P:BATHE/SHOWR W/O :IMP
B4S:EAT W/O HELP
:IMP
B4T:DRESS W/O HELP :IMP
E33. ADL WALK HELP EVER
E33b. WALK USE EQUIPMENT
E33e. WALK ANY DIFFICULTY
E35. ADL DRESS HELP EVER
E35b. DRESS ANY DIFFICULTY
E37. ADL BATHE HELP EVER
E37b. BATHE ANY DIFFICULTY
E39. ADL EAT GET HELP EVER
E39b. EAT DIFFICULTY
E41. ADL IN/OUT BED HELP EVER
E43. BED USE EQUIPMENT EVER
E43c. BED ANY DIFFICULTY
E44. ADL TOILET HELP EVER
E44b. TOILET ANY DIFFICULTY
B4.RUNNING/JOGGING 1 MIL
B4a.WALKING SEVERAL BLOC
B4b.WALKING ONE BLOCK
B4c.WALKING ACROSS A ROO
B4f.GETTING IN/OUT OF BE
B4n.BATHING/SHOWERING WI
B4r.EATING WITHOUT HELP
B4s.DRESSING WITHOUT HEL
ADLCK.CKPT FOR SKIPPING ADL SERIES
E72.WALK DIFF
E72C.WALK EQUIPMENT
E72F.ADL WALK HELP
E73.DRESS DIFF
E73F.ADL DRESS HELP
E74.BATHING DIFF
E74F.ADL BATHE HELP
E75.EAT DIFF
E75F.ADL EAT HELP
E76.BED DIFF
E76C.BED EQUIPMENT
E76F.ADL BED HELP
E77.TOILET DIFF
E77F.ADL TOILET HELP
ADLCK.CKPT FOR SKIPPING ADL SERIES
ADLCK.CKPT FOR SKIPPING ADL SERIES
E72.WALK DIFF
E72C.WALK EQUIPMENT
E72F.ADL WALK HELP
E73.DRESS DIFF
E73F.ADL DRESS HELP
E74.BATHING DIFF
E74F.ADL BATHE HELP
E75.EAT DIFF
E75F.ADL EAT HELP
E76.BED DIFF
E76C.BED EQUIPMENT
E76F.ADL BED HELP
E77.TOILET DIFF
E77F.ADL TOILET HELP
E71.PICK DIME
Section B: Health
HRS
HRS
HRS
HRS
F2425
F2426
F2427
F2428
F2431
F2444
F2447
F2454
F2457
F2464
F2467
F2470
F2477
F2480
2000:
G2719
G2723
G2724
G2725
G2726
G2729
G2742
G2745
G2752
G2755
G2762
G2765
G2768
G2775
G2778
2002:
HG012
HG014
HG015
HG016
HG017
HG020
HG021
HG022
HG023
HG024
HG025
HG026
HG029
HG030
HG031
2004:
JG012
JG014
JG015
JG016
JG017
JG020
JG021
JG022
JG023
JG024
JG025
JG026
JG029
JG030
JG031
2006:
302
E73F.DRESS DIFF
E73F.ADL DRESS HELP
E72.WALK DIFF
E72C.WALK EQUIPMENT
E72.ADL WALK HELP
E74.BATHING DIFF
E74F.ADL BATHE HELP
E75.EAT DIFF
E75F.ADL EAT HELP
E76.BED DIFF
E76C.BED EQUIPMENT
E76F.ADL BED HELP
E77.TOILET DIFF
E77F.ADL TOILET HELP
E71.PICK DIME
E73Y1.DRESS DIFF
E73F.ADL DRESS HELP
E72.WALK DIFF
E72C.WALK EQUIPMENT
E72Y1.ADL WALK HELP
E74.BATHING DIFF
E74F.ADL BATHE HELP
E75.EAT DIFF
E75F.ADL EAT HELP
E76.BED DIFF
E76C.BED EQUIPMENT
E76F.ADL BED HELP
E77.TOILET DIFF
E77F.ADL TOILET HELP
DIFFICULTY- PICKING UP DIME
DIFFICULTY- DRESSING
HELP W/DRESS
DIFFICULTY WALKING
WALK EQUIPMENT
ADL WALK HELP
DIFFICULTY BATHING
ADL BATHE HELP
DIFFICULTY EATING
ADL EAT HELP
DIFFICULTY GET IN/OUT BED
BED EQUIPMENT
ADL BED HELP
DIFFICULTY USING TOILET
ADL TOILET HELP
DIFFICULTY- PICKING UP DIME
DIFFICULTY- DRESSING
HELP W/DRESS
DIFFICULTY WALKING
WALK EQUIPMENT
ADL WALK HELP
DIFFICULTY BATHING
ADL BATHE HELP
DIFFICULTY EATING
ADL EAT HELP
DIFFICULTY GET IN/OUT BED
BED EQUIPMENT
ADL BED HELP
DIFFICULTY USING TOILET
ADL TOILET HELP
Section B: Health
KG012
KG014
KG015
KG016
KG017
KG020
KG021
KG022
KG023
KG024
KG025
KG026
KG029
KG030
KG031
HRS 2008:
LG012
LG014
LG015
LG016
LG017
LG020
LG021
LG022
LG023
LG024
LG025
LG026
LG029
LG030
LG031
HRS 2010:
MG012
MG014
MG015
MG016
MG017
MG020
MG021
MG022
MG023
MG024
MG025
MG026
MG029
MG030
MG031
HRS 2012:
NG012
NG014
NG015
NG016
NG017
NG020
NG021
NG022
NG023
NG024
NG025
NG026
NG029
NG030
NG031
303
DIFFICULTY- PICKING UP DIME
DIFFICULTY- DRESSING
HELP W/DRESS
DIFFICULTY WALKING
WALK EQUIPMENT
ADL WALK HELP
DIFFICULTY BATHING
ADL BATHE HELP
DIFFICULTY EATING
ADL EAT HELP
DIFFICULTY GET IN/OUT BED
BED EQUIPMENT
ADL BED HELP
DIFFICULTY USING TOILET
ADL TOILET HELP
DIFFICULTY- PICKING UP DIME
DIFFICULTY- DRESSING
HELP W/DRESS
DIFFICULTY WALKING
WALK EQUIPMENT
ADL WALK HELP
DIFFICULTY BATHING
ADL BATHE HELP
DIFFICULTY EATING
ADL EAT HELP
DIFFICULTY GET IN/OUT BED
BED EQUIPMENT
ADL BED HELP
DIFFICULTY USING TOILET
ADL TOILET HELP
DIFFICULTY- PICKING UP DIME
DIFFICULTY- DRESSING
HELP W/DRESS
DIFFICULTY WALKING
WALK EQUIPMENT
ADL WALK HELP
DIFFICULTY BATHING
ADL BATHE HELP
DIFFICULTY EATING
ADL EAT HELP
DIFFICULTY GET IN/OUT BED
BED EQUIPMENT
ADL BED HELP
DIFFICULTY USING TOILET
ADL TOILET HELP
DIFFICULTY- PICKING UP DIME
DIFFICULTY- DRESSING
HELP W/DRESS
DIFFICULTY WALKING
WALK EQUIPMENT
ADL WALK HELP
DIFFICULTY BATHING
ADL BATHE HELP
DIFFICULTY EATING
ADL EAT HELP
DIFFICULTY GET IN/OUT BED
BED EQUIPMENT
ADL BED HELP
DIFFICULTY USING TOILET
ADL TOILET HELP
Section B: Health
304
Activities of daily living (ADLs): Some difficulty
Wave
Variable
Label
Type
2
3
4
5
6
7
8
9
10
11
R2WALKRA
R3WALKRA
R4WALKRA
R5WALKRA
R6WALKRA
R7WALKRA
R8WALKRA
R9WALKRA
R10WALKRA
R11WALKRA
R2WALKRA:W2 R
R3WALKRA:W3 R
R4WALKRA:W4 R
R5WALKRA:W5 R
R6WALKRA:W6 R
R7WALKRA:W7 R
R8WALKRA:W8 R
R9WALKRA:W9 R
R10WALKRA:W10
R11WALKRA:W11
Some Diff-Walk across room
Some Diff-Walk across room
Some Diff-Walk across room
Some Diff-Walk across room
Some Diff-Walk across room
Some Diff-Walk across room
Some Diff-Walk across room
Some Diff-Walk across room
R Some Diff-Walk across room
R Some Diff-Walk across room
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2WALKRA
S3WALKRA
S4WALKRA
S5WALKRA
S6WALKRA
S7WALKRA
S8WALKRA
S9WALKRA
S10WALKRA
S11WALKRA
S2WALKRA:W2 S
S3WALKRA:W3 S
S4WALKRA:W4 S
S5WALKRA:W5 S
S6WALKRA:W6 S
S7WALKRA:W7 S
S8WALKRA:W8 S
S9WALKRA:W9 S
S10WALKRA:W10
S11WALKRA:W11
Some Diff-Walk across room
Some Diff-Walk across room
Some Diff-Walk across room
Some Diff-Walk across room
Some Diff-Walk across room
Some Diff-Walk across room
Some Diff-Walk across room
Some Diff-Walk across room
S Some Diff-Walk across room
S Some Diff-Walk across room
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2DRESSA
R3DRESSA
R4DRESSA
R5DRESSA
R6DRESSA
R7DRESSA
R8DRESSA
R9DRESSA
R10DRESSA
R11DRESSA
R2DRESSA:W2 R
R3DRESSA:W3 R
R4DRESSA:W4 R
R5DRESSA:W5 R
R6DRESSA:W6 R
R7DRESSA:W7 R
R8DRESSA:W8 R
R9DRESSA:W9 R
R10DRESSA:W10
R11DRESSA:W11
Some Diff-Dressing
Some Diff-Dressing
Some Diff-Dressing
Some Diff-Dressing
Some Diff-Dressing
Some Diff-Dressing
Some Diff-Dressing
Some Diff-Dressing
R Some Diff-Dressing
R Some Diff-Dressing
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2DRESSA
S3DRESSA
S4DRESSA
S5DRESSA
S6DRESSA
S7DRESSA
S8DRESSA
S9DRESSA
S10DRESSA
S11DRESSA
S2DRESSA:W2 S
S3DRESSA:W3 S
S4DRESSA:W4 S
S5DRESSA:W5 S
S6DRESSA:W6 S
S7DRESSA:W7 S
S8DRESSA:W8 S
S9DRESSA:W9 S
S10DRESSA:W10
S11DRESSA:W11
Some Diff-Dressing
Some Diff-Dressing
Some Diff-Dressing
Some Diff-Dressing
Some Diff-Dressing
Some Diff-Dressing
Some Diff-Dressing
Some Diff-Dressing
S Some Diff-Dressing
S Some Diff-Dressing
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2BATHA
R3BATHA
R4BATHA
R5BATHA
R6BATHA
R7BATHA
R8BATHA
R9BATHA
R10BATHA
R11BATHA
R2BATHA:W2 R
R3BATHA:W3 R
R4BATHA:W4 R
R5BATHA:W5 R
R6BATHA:W6 R
R7BATHA:W7 R
R8BATHA:W8 R
R9BATHA:W9 R
R10BATHA:W10
R11BATHA:W11
2
3
S2BATHA
S3BATHA
S2BATHA:W2 S Some Diff-Bathing, shower
S3BATHA:W3 S Some Diff-Bathing, shower
Some Diff-Bathing, shower
Some Diff-Bathing, shower
Some Diff-Bathing, shower
Some Diff-Bathing, shower
Some Diff-Bathing, shower
Some Diff-Bathing, shower
Some Diff-Bathing, shower
Some Diff-Bathing, shower
R Some Diff-Bathing, shower
R Some Diff-Bathing, shower
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Section B: Health
305
4
5
6
7
8
9
10
11
S4BATHA
S5BATHA
S6BATHA
S7BATHA
S8BATHA
S9BATHA
S10BATHA
S11BATHA
S4BATHA:W4 S
S5BATHA:W5 S
S6BATHA:W6 S
S7BATHA:W7 S
S8BATHA:W8 S
S9BATHA:W9 S
S10BATHA:W10
S11BATHA:W11
Some Diff-Bathing, shower
Some Diff-Bathing, shower
Some Diff-Bathing, shower
Some Diff-Bathing, shower
Some Diff-Bathing, shower
Some Diff-Bathing, shower
S Some Diff-Bathing, shower
S Some Diff-Bathing, shower
2
3
4
5
6
7
8
9
10
11
R2EATA
R3EATA
R4EATA
R5EATA
R6EATA
R7EATA
R8EATA
R9EATA
R10EATA
R11EATA
R2EATA:W2 R
R3EATA:W3 R
R4EATA:W4 R
R5EATA:W5 R
R6EATA:W6 R
R7EATA:W7 R
R8EATA:W8 R
R9EATA:W9 R
R10EATA:W10
R11EATA:W11
Some Diff-Eating
Some Diff-Eating
Some Diff-Eating
Some Diff-Eating
Some Diff-Eating
Some Diff-Eating
Some Diff-Eating
Some Diff-Eating
R Some Diff-Eating
R Some Diff-Eating
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2EATA
S3EATA
S4EATA
S5EATA
S6EATA
S7EATA
S8EATA
S9EATA
S10EATA
S11EATA
S2EATA:W2 S
S3EATA:W3 S
S4EATA:W4 S
S5EATA:W5 S
S6EATA:W6 S
S7EATA:W7 S
S8EATA:W8 S
S9EATA:W9 S
S10EATA:W10
S11EATA:W11
Some Diff-Eating
Some Diff-Eating
Some Diff-Eating
Some Diff-Eating
Some Diff-Eating
Some Diff-Eating
Some Diff-Eating
Some Diff-Eating
S Some Diff-Eating
S Some Diff-Eating
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2BEDA
R3BEDA
R4BEDA
R5BEDA
R6BEDA
R7BEDA
R8BEDA
R9BEDA
R10BEDA
R11BEDA
R2BEDA:W2 R
R3BEDA:W3 R
R4BEDA:W4 R
R5BEDA:W5 R
R6BEDA:W6 R
R7BEDA:W7 R
R8BEDA:W8 R
R9BEDA:W9 R
R10BEDA:W10
R11BEDA:W11
Some Diff-Get in/out bed
Some Diff-Get in/out bed
Some Diff-Get in/out bed
Some Diff-Get in/out bed
Some Diff-Get in/out bed
Some Diff-Get in/out bed
Some Diff-Get in/out bed
Some Diff-Get in/out bed
R Some Diff-Get in/out bed
R Some Diff-Get in/out bed
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2BEDA
S3BEDA
S4BEDA
S5BEDA
S6BEDA
S7BEDA
S8BEDA
S9BEDA
S10BEDA
S11BEDA
S2BEDA:W2 S
S3BEDA:W3 S
S4BEDA:W4 S
S5BEDA:W5 S
S6BEDA:W6 S
S7BEDA:W7 S
S8BEDA:W8 S
S9BEDA:W9 S
S10BEDA:W10
S11BEDA:W11
Some Diff-Get in/out bed
Some Diff-Get in/out bed
Some Diff-Get in/out bed
Some Diff-Get in/out bed
Some Diff-Get in/out bed
Some Diff-Get in/out bed
Some Diff-Get in/out bed
Some Diff-Get in/out bed
S Some Diff-Get in/out bed
S Some Diff-Get in/out bed
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2TOILTA
R3TOILTA
R4TOILTA
R5TOILTA
R6TOILTA
R7TOILTA
R8TOILTA
R9TOILTA
R10TOILTA
R11TOILTA
R2TOILTA:W2 R
R3TOILTA:W3 R
R4TOILTA:W4 R
R5TOILTA:W5 R
R6TOILTA:W6 R
R7TOILTA:W7 R
R8TOILTA:W8 R
R9TOILTA:W9 R
R10TOILTA:W10
R11TOILTA:W11
Some Diff-Using the toilet
Some Diff-Using the toilet
Some Diff-Using the toilet
Some Diff-Using the toilet
Some Diff-Using the toilet
Some Diff-Using the toilet
Some Diff-Using the toilet
Some Diff-Using the toilet
R Some Diff-Using the toilet
R Some Diff-Using the toilet
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Section B: Health
2
3
4
5
6
7
8
9
10
11
306
S2TOILTA
S3TOILTA
S4TOILTA
S5TOILTA
S6TOILTA
S7TOILTA
S8TOILTA
S9TOILTA
S10TOILTA
S11TOILTA
S2TOILTA:W2 S
S3TOILTA:W3 S
S4TOILTA:W4 S
S5TOILTA:W5 S
S6TOILTA:W6 S
S7TOILTA:W7 S
S8TOILTA:W8 S
S9TOILTA:W9 S
S10TOILTA:W10
S11TOILTA:W11
Some Diff-Using the toilet
Some Diff-Using the toilet
Some Diff-Using the toilet
Some Diff-Using the toilet
Some Diff-Using the toilet
Some Diff-Using the toilet
Some Diff-Using the toilet
Some Diff-Using the toilet
S Some Diff-Using the toilet
S Some Diff-Using the toilet
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R2WALKRA
R3WALKRA
R4WALKRA
R5WALKRA
R6WALKRA
R7WALKRA
R8WALKRA
R9WALKRA
R10WALKRA
R11WALKRA
19266
17933
21341
19532
18143
20103
18445
17193
21890
20525
0.07
0.07
0.07
0.08
0.08
0.08
0.08
0.09
0.08
0.08
0.25
0.26
0.26
0.27
0.28
0.27
0.28
0.28
0.27
0.27
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2WALKRA
S3WALKRA
S4WALKRA
S5WALKRA
S6WALKRA
S7WALKRA
S8WALKRA
S9WALKRA
S10WALKRA
S11WALKRA
12806
11892
13965
12720
11632
12966
11732
10639
13433
12481
0.05
0.05
0.05
0.05
0.05
0.05
0.05
0.05
0.05
0.06
0.21
0.22
0.21
0.22
0.23
0.22
0.23
0.22
0.22
0.23
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2DRESSA
R3DRESSA
R4DRESSA
R5DRESSA
R6DRESSA
R7DRESSA
R8DRESSA
R9DRESSA
R10DRESSA
R11DRESSA
19628
17938
21352
19551
18152
20114
18453
17204
21897
20523
0.05
0.10
0.10
0.11
0.11
0.10
0.11
0.11
0.12
0.11
0.23
0.31
0.30
0.31
0.31
0.30
0.31
0.32
0.32
0.32
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2DRESSA
S3DRESSA
S4DRESSA
S5DRESSA
S6DRESSA
S7DRESSA
S8DRESSA
S9DRESSA
S10DRESSA
S11DRESSA
13079
11896
13968
12722
11635
12970
11732
10643
13438
12482
0.04
0.08
0.08
0.08
0.08
0.08
0.09
0.08
0.09
0.09
0.19
0.27
0.27
0.28
0.27
0.26
0.28
0.28
0.29
0.28
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2BATHA
R3BATHA
R4BATHA
19627
17930
21350
0.05
0.08
0.08
0.22
0.27
0.27
0.0
0.0
0.0
1.0
1.0
1.0
Section B: Health
307
R5BATHA
R6BATHA
R7BATHA
R8BATHA
R9BATHA
R10BATHA
R11BATHA
19546
18151
20107
18451
17202
21895
20524
0.08
0.09
0.08
0.08
0.09
0.09
0.09
0.27
0.28
0.27
0.28
0.28
0.28
0.28
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2BATHA
S3BATHA
S4BATHA
S5BATHA
S6BATHA
S7BATHA
S8BATHA
S9BATHA
S10BATHA
S11BATHA
13081
11897
13970
12723
11635
12968
11732
10642
13435
12482
0.03
0.05
0.05
0.05
0.05
0.05
0.05
0.05
0.05
0.05
0.18
0.21
0.22
0.22
0.22
0.21
0.22
0.22
0.22
0.23
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2EATA
R3EATA
R4EATA
R5EATA
R6EATA
R7EATA
R8EATA
R9EATA
R10EATA
R11EATA
19635
17943
21345
19548
18144
20098
18445
17197
21881
20519
0.01
0.04
0.04
0.04
0.04
0.04
0.04
0.04
0.04
0.04
0.11
0.19
0.19
0.19
0.20
0.19
0.20
0.20
0.20
0.21
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2EATA
S3EATA
S4EATA
S5EATA
S6EATA
S7EATA
S8EATA
S9EATA
S10EATA
S11EATA
13082
11899
13966
12722
11631
12968
11730
10640
13431
12481
0.01
0.03
0.03
0.02
0.02
0.02
0.03
0.02
0.03
0.03
0.08
0.16
0.16
0.15
0.15
0.15
0.16
0.15
0.16
0.17
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2BEDA
R3BEDA
R4BEDA
R5BEDA
R6BEDA
R7BEDA
R8BEDA
R9BEDA
R10BEDA
R11BEDA
19621
17942
21344
19547
18137
20104
18445
17193
21883
20510
0.05
0.07
0.07
0.07
0.07
0.07
0.07
0.07
0.08
0.08
0.22
0.26
0.26
0.26
0.26
0.25
0.26
0.26
0.27
0.27
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2BEDA
S3BEDA
S4BEDA
S5BEDA
S6BEDA
S7BEDA
S8BEDA
S9BEDA
S10BEDA
S11BEDA
13072
11899
13966
12723
11631
12964
11725
10639
13433
12477
0.04
0.05
0.05
0.05
0.05
0.05
0.06
0.05
0.06
0.06
0.19
0.23
0.22
0.22
0.22
0.21
0.23
0.22
0.24
0.24
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Section B: Health
308
R2TOILTA
R3TOILTA
R4TOILTA
R5TOILTA
R6TOILTA
R7TOILTA
R8TOILTA
R9TOILTA
R10TOILTA
R11TOILTA
8218
17937
21334
19533
18128
20083
18428
17176
21866
20509
0.04
0.06
0.06
0.06
0.06
0.06
0.07
0.07
0.07
0.07
0.19
0.23
0.24
0.24
0.25
0.24
0.26
0.25
0.25
0.26
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2TOILTA
S3TOILTA
S4TOILTA
S5TOILTA
S6TOILTA
S7TOILTA
S8TOILTA
S9TOILTA
S10TOILTA
S11TOILTA
4347
11897
13961
12719
11627
12958
11722
10638
13425
12473
0.02
0.04
0.04
0.04
0.04
0.04
0.05
0.04
0.04
0.05
0.15
0.19
0.20
0.21
0.20
0.19
0.21
0.20
0.21
0.21
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Categorical Variable Codes
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2WALKRA R3WALKRA R4WALKRA
353
2
1
1
1
2
36
28
21
18
14
17954
16607
19789
1312
1326
1552
R5WALKRA R6WALKRA R7WALKRA R8WALKRA R9WALKRA
3
1
1
1
R10WALKRA R11WALKRA
3
6
3
23
18
18021
1511
1
131
9
20113
1777
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.No
|
1.Yes
|
S2WALKRA S3WALKRA S4WALKRA
268
1
1
1
1
11
7
5970
5658
6869
584
418
537
12
11
5
12215
11310
13328
591
582
637
S5WALKRA S6WALKRA S7WALKRA S8WALKRA S9WALKRA
1
1
S10WALKRA S11WALKRA
1
4
2
5
6538
311
2
12070
650
79
7795
722
4
12719
714
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2DRESSA R3DRESSA
2
2
1
1
1
36
11
13
18574
16068
1054
1870
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.No
|
1.Yes
|
S2DRESSA S3DRESSA S4DRESSA S5DRESSA
1
1
1
1
11
7
5
5970
5658
6869
6538
584
418
537
311
8
7
3
1
12603
10949
12855
11662
476
947
1113
1060
S6DRESSA S7DRESSA S8DRESSA S9DRESSA
1
1
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2BATHA
6
1
8
18642
985
R3BATHA
3
1
1
36
20
16562
1368
7
15
16630
1513
3
6306
220
4
11000
632
1
10
14
18562
1541
1
1
6777
380
3
12326
640
2
7
14
16922
1523
1
6417
317
2
11100
632
1
9
13
15719
1474
2
6206
365
5
10090
549
R4DRESSA R5DRESSA R6DRESSA R7DRESSA R8DRESSA R9DRESSA
3
4
3
5
28
4
19160
2192
1
23
1
17458
2093
7
2
16216
1936
1
10
1
18104
2010
3
6306
220
1
1
6777
380
10705
930
2
7
2
16398
2055
9
4
15269
1935
2
18
3
18845
1680
4
7473
591
1
11789
692
R10DRESSA R11DRESSA
2
9
1
131
3
19328
2569
2
18
2
18212
2311
S10DRESSA S11DRESSA
4
2
6206
365
1
9762
881
79
7795
722
4
7473
591
11991
979
1
6417
317
1
10719
1013
12213
1225
11421
1061
R4BATHA
3
R5BATHA
4
R6BATHA
1
R7BATHA
4
R8BATHA
2
R9BATHA
1
R10BATHA
4
R11BATHA
7
28
3
19595
1755
23
6
17936
1610
7
6
16608
1543
2
10
6
18514
1593
2
7
7
16929
1522
9
5
15711
1491
1
131
3
20028
1867
2
18
3
18736
1788
Section B: Health
309
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.No
|
1.Yes
|
S2BATHA
3
1
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2EATA
1
1
1
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.No
|
1.Yes
|
S2EATA
1
1
1
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2BEDA
7
1
2
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.No
|
1.Yes
|
S2BEDA
4
1
2
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2TOILTA R3TOILTA R4TOILTA
2
2
6
1
11420
1
1
1
36
28
15
15
7925
16886
20015
293
1051
1319
R5TOILTA R6TOILTA R7TOILTA R8TOILTA R9TOILTA
7
5
4
2
3
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.No
|
1.Yes
|
S2TOILTA S3TOILTA S4TOILTA
1
2
1
9123
1
1
11
7
5970
5658
6869
200
418
537
6
7
4243
11442
13359
104
455
602
S5TOILTA S6TOILTA S7TOILTA S8TOILTA S9TOILTA
3
1
1
5970
584
3
12651
430
4
19410
225
5970
584
3
12989
93
11
18622
999
5970
584
9
12557
515
S3BATHA
S4BATHA
1
S5BATHA
1
S6BATHA
S7BATHA
S8BATHA
1
S9BATHA
S10BATHA
1
S11BATHA
2
7
6869
537
13243
727
5
6538
311
1
12087
636
3
6306
220
1
11048
587
2
1
6777
380
1
12352
616
1
6417
317
1
11141
591
2
6206
365
2
10107
535
79
7795
722
2
12720
715
1
4
7473
591
1
11804
678
R3EATA
2
R4EATA
2
R5EATA
1
R6EATA
3
R7EATA
8
R8EATA
2
R9EATA
2
R10EATA
5
R11EATA
1
1
36
9
17260
683
28
9
20529
816
23
7
18805
743
7
11
17405
739
10
13
19340
758
3
7
12
17662
783
9
9
16483
714
1
131
16
20941
940
1
18
15
19617
902
S4EATA
2
S5EATA
S6EATA
2
S7EATA
S8EATA
S9EATA
1
S10EATA
2
S11EATA
1
1
11
5658
418
4
11597
302
7
6869
537
3
13608
358
5
6538
311
3
12413
309
3
6306
220
3
11346
285
1
6777
380
3
12670
298
1
1
6417
317
3
11414
316
2
6206
365
3
10388
252
79
7795
722
5
13061
370
4
7473
591
4
12106
375
R3BEDA
3
R4BEDA
4
R5BEDA
4
R6BEDA
2
R7BEDA
2
R8BEDA
3
R9BEDA
2
R10BEDA
6
R11BEDA
9
1
36
9
16599
1343
28
8
19783
1561
23
5
18150
1397
7
19
16840
1297
10
13
18773
1331
3
7
11
17080
1365
9
13
15949
1244
1
131
13
20149
1734
2
18
15
18871
1639
S4BEDA
2
S5BEDA
1
S6BEDA
1
S7BEDA
S9BEDA
S10BEDA
1
S11BEDA
4
7
6869
537
3
13220
746
5
6538
311
1
12057
666
3
6306
220
4
11053
578
1
6777
380
7
12366
598
2
6206
365
5
10122
517
79
7795
722
4
12644
789
1
4
7473
591
4
11730
747
1
11
5658
418
6
11336
561
S3EATA
S3BEDA
1
11
5658
418
4
11258
641
23
16
18300
1233
5
6538
311
6
12154
565
1
7
24
16962
1166
1
3
6306
220
5
11150
477
1
10
31
18890
1193
1
1
6777
380
11
12462
496
S8BEDA
1
1
1
6417
317
7
11072
653
4
7
28
17115
1313
2
1
6417
317
9
11167
555
9
29
16005
1171
2
6206
365
6
10174
464
R10TOILTA R11TOILTA
13
3
2
131
22
20351
1515
2
18
22
19070
1439
S10TOILTA S11TOILTA
4
1
1
79
7795
722
8
12821
604
4
7473
591
12
11895
578
How Constructed:
These variables recode raw data about difficulty with activities of daily living (ADLs) as yes/no dummy
variables, where 1 means some difficulty and 0 means not. The ADLs include walking across a room
(RwWALKRA), dressing (RwDRESSA), bathing (RwBATHA), eating (RwEATA), getting in and out of bed (RwBEDA),
and using the toilet (RwTOILTA). In the following, references to Rw[adl]A apply to all these variables.
Section B: Health
310
Note that questions about using the toilet were not asked in Wave 2H. For HRS respondents in Wave 2H,
R2TOILTA is set to .Q (question not asked).
We attempt to make consistent variables across waves. Because of significant differences in question
wording in Wave 1, we do not include these variables for this interview year. There are other cross wave
differences in the way HRS presented these questions in Wave 2H and 2A and the later waves, that may
introduce measurement errors in these variables. In addition the criteria used for skipping some
questions changed between Wave 3 and later waves, which may also influence the consistency of measurement
before Wave 4 for all ADLs except dressing.
The variable derivations for some difficulty with ADLs(Rw[adl]A) vary across waves because the question
and responses can vary across waves. In Wave 2, if a respondent answers "yes" to the first question ("Do
you have any difficulty with ...") Rw[adl]A is set to 1 for some difficulty, regardless of how much
difficulty the respondent says he/she has in the follow-up question. From Wave 3 forward, if a
respondent answers "yes" or "can't do" to the any difficulty question, Rw[adl]A is set to 1 for some
difficulty.
In all waves, if the respondent answers "no" to the any difficulty question, Rw[adl]A is set to zero. A
"don't do" response is recoded to missing value .X, since the respondent hasn't revealed whether he/she
would have difficulty with the activity if he/she ever did it. If the response is don’t know or refuse
Rw[adl]A is set to special missing codes .D or .R, respectively.
In some waves, questions about activities are skipped based on answers to previous questions. In Wave 2H,
if a respondent said no difficulty jogging a mile, walking several blocks, or walking one block, the
question about walking across a room is skipped. In these cases, R2WALKRA is set to 0 for no difficulty.
This does not apply to Wave 2A.
From Wave 3 forward, ADL questions are skipped if no difficulty was reported with any of the tasks asked
about earlier. In these cases, Rw[adl]A is set to no difficulty. From Wave 4 forward, if difficulty
with only one prior task and no difficulty with dressing was reported, the questions about the rest of
the ADLs are skipped. In these cases, the rest of the Rw[adl]A variables are also set to no difficulty.
The assumption is that, since the respondent had no difficulty with the earlier activities, he/she would
also have reported no difficulty the activities in the skipped questions.
In Wave 2A and from Wave 3 forward, there are questions about getting help with all ADLs. For waves when
the help question is asked, we set Rw[adl]A to yes if respondents answer yes to getting help and are
missing Rw[adl]A, i.e., the response to the any difficulty question is don’t do, don’t know, or refuse.
A "can't do" response would have already been coded as yes.
The spouse variables are taken from the spouse's self-reported Wave 'w' data. If R is not married,
spouse variables are set to .U=unmarried. If R's spouse did not respond then the variables are set to
.V=Spouse is non-response.
Some of these variables are used to construct a number of functional limitation indices, including an ADL
summary index. Please see "ADL Summary" and "Other Summary Indices".
Another version of these variables simply recode the raw HRS variables. Please see the description of
the Rw[adl] variables under "Activities of Daily Living (ADLs): Raw recodes " for this version.
A third version of ADL variables are derived for Wave 1 only (R1[adl]W). They codes a yes/no dummy that
indicates "any difficulty" in a manner used by Wallace and Herzog in their paper. These are provided for
comparison to the results found in that paper. Please see "ADLs: Recodes for comparison to Wallace and
Herzog" for a description of the R1[adl]W variables. Note that the Wallace and Herzog variables result
in more limitation than the 0/1 recodes described here for other waves (Rw[adl]A) solely due to
measurement differences in the raw data. The R1[adl]W variables are not appropriate for comparison to the
Rw{adl]A variables in other waves.
Cross Wave Differences in Original HRS Data
Each wave has a series of questions about limits on activities of daily living (ADLs), but the ADLs, the
question wording, and possible answers vary.
Section B: Health
311
In all waves questions ask about a number of activities, such as climbing stairs or picking up a dime. In
Wave 1 these include those identified as ADLs. The Wave 1 questions ask:
We are interested in how much difficulty people have with various activities because of a health or
physical problem. ... Exclude any difficulties that you expect to last less than three months. How
difficult is it for you to [...]? Is it not at all difficult, a little difficult, somewhat difficult,
very difficult, or something that you can't do at all?
The respondent can also answer "Don't do". The answers translate into 4 codes from 1 for not at all
difficult to 4 for very difficult/can't do. Another code is used for the "Don't do" response. The
specific wording for the ADLs is: walk across a room, get in and out of bed without help, bathe or shower
without help, eat without help, and dress without help.
In Wave 2H the ADL questions continue to be embedded among other activities as in Wave 1 but the question
and answers differ. The questions ask:
We are interested in how much difficulty people have with various activities because of a health or
physical problem. Please tell me how difficult each of the following activities is for you. Exclude any
difficulties that you expect to last less than three months. Do you have any difficulty with ...? [IF
YES] Is that a little difficulty or a lot of difficulty?
In the data the answers to the 2-part question are recoded into 5-categories: 1=yes, a little difficult;
2=yes, a lot; 3=yes, DK; 4=yes, RF; 5=No; 6=doesn't do. Note that there is no "Can't do" category and
that "Don't do" is not an option in the instrument. The "Doesn't do" category is likely the result of
post-interview interpretation of interview comments so may be observed less frequently than in other
waves, simply because of questionnaire differences. This does not appear to have a large impact among
the ADLs. The specific wording for the ADLs is: walking across the room, getting in and out of bed
without help, bathing or showering without help, eating without help, and dressing without help.
In Waves 1 and 2H, if the respondent reported no difficulty with jogging a mile, walking several blocks,
or walking one block, then the question about walking across the room is skipped.
In Wave 2A, the question asks:
We need to understand difficulties people may have with various activities because of a health or
physical problem. Please tell me whether you get help or have any difficulty doing each of the everyday
activities. If you never do that activity, just tell me so. Does anyone ever help you ...? Yes, No or
Don't do. [IF YES] Do you get help most of the time, some of the time, only occasionally?
The exact wording for the ADLs in the help question is: get across a room; get in and out of bed; bathe
or shower; dress, including putting on socks and shoes; eat, such as cutting up your food; and use the
toilet, including getting up and down.
Regardless of whether any difficulty is reported for walking across the room: Do you ever use equipment
or devices such as a cane, walker or wheelchair when crossing a room?
Regardless of whether any difficulty is reported for getting in and out of bed: Do you ever use equipment
or devices such as a rail, cane, walker, wheelchair or lift to help you get in and out of bed?
And for walking across a room and getting in and out of bed: (Even when someone helps you/Even when using
the (EQUIPMENT)/Without any help or special equipment) do you have any difficulty [...]? Yes or No. [if
YES] Is that a lot or a little difficulty? The exact wording for the task is: walking across the room
and getting in and out of bed.
And for other ADLS: Do you have any difficulty [...](even when someone helps you/without any help)? Yes
or No. [if YES] Is that a lot or a little difficulty? The exact wording for these tasks is: bathing,
eating, dressing, and using the toilet.
Note that in Wave 2A, the question about getting help was asked before any difficulty and using
equipment. So if respondent answered "don't do" on the getting help question, then the questions on any
difficulty and equipment are skipped. Note that there is no "Can't do" category.
Section B: Health
312
From Wave 3 forward, the questions about ADLs are removed from the initial list of activities. If the
respondent has no difficulty with any of these activities then the questions about ADLs are skipped.
Questions ask about ADLs ONLY if the respondent reported difficulty with some activity on the initial
list. The questions on ADLs ask:
Here are a few more everyday activities. Please tell me if you have any difficulty with these because of
a physical, mental, emotional or memory problem. Again exclude any difficulties you expect to last less
than three months. Because of a health or memory problem do you have any difficulty with ...?
The answers to the difficulty questions are simply yes, no, can't do, or don't do. The exact wording for
the ADLs is: walking across a room; dressing,including putting on socks and shoes; bathing or showering;
eating, such as cutting up your food; getting in and out of bed; and using the toilet, including getting
up and down.
Regardless of whether any difficulty is reported for walking across the room: Do you ever use equipment
or devices such as a cane, walker or wheelchair when crossing a room? Yes or No.
Regardless of whether any difficulty is reported for getting in and out of bed: Do you ever use equipment
or devices such as a cane, walker or railing when getting in or out of bed? Yes or No.
Unless the respondent reports having no difficulty with an ADL then he/she is asked:
Does anyone ever help you [...]? Yes or No. The exact wording for each of the ADLs is: get across a
room, dress, bathe, eat, get in or out of bed, and use the toilet.
From Wave 4 forward, the question organization and wording are the same as in Wave 3, with one exception.
If the first basic ADL, dressing, showed no difficulty, and among the prior tasks at most one difficulty
was reported, the rest of the basic ADLs of walking across a room, bathing, eating, getting in/out of
bed, and using the toilet were skipped.
In Wave 7, a mistake in the Spanish instrument allowed "can't do" and "don't do" responses for the help
questions, and a few of these responses are given for all of the ADLs except help with dressing and
eating.
In Wave 1 and 2H questions about using the toilet are not asked, so for Wave 2H, R2TOILTA is set to .Q.
HRS Variables Used
AHEAD 1993:
B768
B770
B773
B779
B781
B787
B789
B795
B797
B803
B808
B811
B814
B816
HRS 1994:
W306
W307
W308
W309
W312
W318
W321
W322
AHEAD 1995:
E33. ADL WALK HELP EVER
E33b. WALK USE EQUIPMENT
E33e. WALK ANY DIFFICULTY
E35. ADL DRESS HELP EVER
E35b. DRESS ANY DIFFICULTY
E37. ADL BATHE HELP EVER
E37b. BATHE ANY DIFFICULTY
E39. ADL EAT GET HELP EVER
E39b. EAT DIFFICULTY
E41. ADL IN/OUT BED HELP EVER
E43. BED USE EQUIPMENT EVER
E43c. BED ANY DIFFICULTY
E44. ADL TOILET HELP EVER
E44b. TOILET ANY DIFFICULTY
B4.RUNNING/JOGGING 1 MIL
B4a.WALKING SEVERAL BLOC
B4b.WALKING ONE BLOCK
B4c.WALKING ACROSS A ROO
B4f.GETTING IN/OUT OF BE
B4n.BATHING/SHOWERING WI
B4r.EATING WITHOUT HELP
B4s.DRESSING WITHOUT HEL
Section B: Health
D1870
D1871
D1874
D1877
D1884
D1887
D1894
D1897
D1904
D1907
D1914
D1917
D1920
D1927
D1930
HRS 1996:
E1894
E1895
E1898
E1901
E1908
E1911
E1918
E1921
E1928
E1931
E1938
E1941
E1944
E1951
E1954
HRS 1998:
F2421
F2425
F2426
F2427
F2428
F2431
F2444
F2447
F2454
F2457
F2464
F2467
F2470
F2477
F2480
HRS 2000:
G2719
G2723
G2724
G2725
G2726
G2729
G2742
G2745
G2752
G2755
G2762
G2765
G2768
G2775
G2778
313
ADLCK.CKPT FOR SKIPPING ADL SERIES
E72.WALK DIFF
E72C.WALK EQUIPMENT
E72F.ADL WALK HELP
E73.DRESS DIFF
E73F.ADL DRESS HELP
E74.BATHING DIFF
E74F.ADL BATHE HELP
E75.EAT DIFF
E75F.ADL EAT HELP
E76.BED DIFF
E76C.BED EQUIPMENT
E76F.ADL BED HELP
E77.TOILET DIFF
E77F.ADL TOILET HELP
ADLCK.CKPT FOR SKIPPING ADL SERIES
E72.WALK DIFF
E72C.WALK EQUIPMENT
E72F.ADL WALK HELP
E73.DRESS DIFF
E73F.ADL DRESS HELP
E74.BATHING DIFF
E74F.ADL BATHE HELP
E75.EAT DIFF
E75F.ADL EAT HELP
E76.BED DIFF
E76C.BED EQUIPMENT
E76F.ADL BED HELP
E77.TOILET DIFF
E77F.ADL TOILET HELP
E71.PICK DIME
E73F.DRESS DIFF
E73F.ADL DRESS HELP
E72.WALK DIFF
E72C.WALK EQUIPMENT
E72.ADL WALK HELP
E74.BATHING DIFF
E74F.ADL BATHE HELP
E75.EAT DIFF
E75F.ADL EAT HELP
E76.BED DIFF
E76C.BED EQUIPMENT
E76F.ADL BED HELP
E77.TOILET DIFF
E77F.ADL TOILET HELP
E71.PICK DIME
E73Y1.DRESS DIFF
E73F.ADL DRESS HELP
E72.WALK DIFF
E72C.WALK EQUIPMENT
E72Y1.ADL WALK HELP
E74.BATHING DIFF
E74F.ADL BATHE HELP
E75.EAT DIFF
E75F.ADL EAT HELP
E76.BED DIFF
E76C.BED EQUIPMENT
E76F.ADL BED HELP
E77.TOILET DIFF
E77F.ADL TOILET HELP
Section B: Health
HRS 2002:
HG012
HG014
HG015
HG016
HG017
HG020
HG021
HG022
HG023
HG024
HG025
HG026
HG029
HG030
HG031
HRS 2004:
JG012
JG014
JG015
JG016
JG017
JG020
JG021
JG022
JG023
JG024
JG025
JG026
JG029
JG030
JG031
HRS 2006:
KG012
KG014
KG015
KG016
KG017
KG020
KG021
KG022
KG023
KG024
KG025
KG026
KG029
KG030
KG031
HRS 2008:
LG012
LG014
LG015
LG016
LG017
LG020
LG021
LG022
LG023
LG024
LG025
LG026
LG029
LG030
314
DIFFICULTY- PICKING UP DIME
DIFFICULTY- DRESSING
HELP W/DRESS
DIFFICULTY WALKING
WALK EQUIPMENT
ADL WALK HELP
DIFFICULTY BATHING
ADL BATHE HELP
DIFFICULTY EATING
ADL EAT HELP
DIFFICULTY GET IN/OUT BED
BED EQUIPMENT
ADL BED HELP
DIFFICULTY USING TOILET
ADL TOILET HELP
DIFFICULTY- PICKING UP DIME
DIFFICULTY- DRESSING
HELP W/DRESS
DIFFICULTY WALKING
WALK EQUIPMENT
ADL WALK HELP
DIFFICULTY BATHING
ADL BATHE HELP
DIFFICULTY EATING
ADL EAT HELP
DIFFICULTY GET IN/OUT BED
BED EQUIPMENT
ADL BED HELP
DIFFICULTY USING TOILET
ADL TOILET HELP
DIFFICULTY- PICKING UP DIME
DIFFICULTY- DRESSING
HELP W/DRESS
DIFFICULTY WALKING
WALK EQUIPMENT
ADL WALK HELP
DIFFICULTY BATHING
ADL BATHE HELP
DIFFICULTY EATING
ADL EAT HELP
DIFFICULTY GET IN/OUT BED
BED EQUIPMENT
ADL BED HELP
DIFFICULTY USING TOILET
ADL TOILET HELP
DIFFICULTY- PICKING UP DIME
DIFFICULTY- DRESSING
HELP W/DRESS
DIFFICULTY WALKING
WALK EQUIPMENT
ADL WALK HELP
DIFFICULTY BATHING
ADL BATHE HELP
DIFFICULTY EATING
ADL EAT HELP
DIFFICULTY GET IN/OUT BED
BED EQUIPMENT
ADL BED HELP
DIFFICULTY USING TOILET
Section B: Health
LG031
HRS 2010:
MG012
MG014
MG015
MG016
MG017
MG020
MG021
MG022
MG023
MG024
MG025
MG026
MG029
MG030
MG031
HRS 2012:
NG012
NG014
NG015
NG016
NG017
NG020
NG021
NG022
NG023
NG024
NG025
NG026
NG029
NG030
NG031
315
ADL TOILET HELP
DIFFICULTY- PICKING UP DIME
DIFFICULTY- DRESSING
HELP W/DRESS
DIFFICULTY WALKING
WALK EQUIPMENT
ADL WALK HELP
DIFFICULTY BATHING
ADL BATHE HELP
DIFFICULTY EATING
ADL EAT HELP
DIFFICULTY GET IN/OUT BED
BED EQUIPMENT
ADL BED HELP
DIFFICULTY USING TOILET
ADL TOILET HELP
DIFFICULTY- PICKING UP DIME
DIFFICULTY- DRESSING
HELP W/DRESS
DIFFICULTY WALKING
WALK EQUIPMENT
ADL WALK HELP
DIFFICULTY BATHING
ADL BATHE HELP
DIFFICULTY EATING
ADL EAT HELP
DIFFICULTY GET IN/OUT BED
BED EQUIPMENT
ADL BED HELP
DIFFICULTY USING TOILET
ADL TOILET HELP
Section B: Health
316
Activities of daily living (ADLs): Recodes for comparison to Wallace and Herzog
Wave
Variable
Label
Type
1
R1WALKRW
R1WALKRW:W1 R Any Diff-Walk across room
Categ
1
S1WALKRW
S1WALKRW:W1 S Any Diff-Walk across room
Categ
1
R1DRESSW
R1DRESSW:W1 R Any Diff-Dressing
Categ
1
S1DRESSW
S1DRESSW:W1 S Any Diff-Dressing
Categ
1
R1BATHW
R1BATHW:W1 R Any Diff-Bathing, shower
Categ
1
S1BATHW
S1BATHW:W1 S Any Diff-Bathing, shower
Categ
1
R1EATW
R1EATW:W1 R Any Diff-Eating
Categ
1
S1EATW
S1EATW:W1 S Any Diff-Eating
Categ
1
R1BEDW
R1BEDW:W1 R Any Diff-Get in/out of bed
Categ
1
S1BEDW
S1BEDW:W1 S Any Diff-Get in/out of bed
Categ
Descriptive Statistics
Variable
N
Mean
R1WALKRW
12636
0.04
0.20
0.0
1.0
S1WALKRW
9886
0.04
0.19
0.0
1.0
R1DRESSW
12645
0.03
0.17
0.0
1.0
S1DRESSW
9895
0.02
0.15
0.0
1.0
R1BATHW
12639
0.04
0.21
0.0
1.0
S1BATHW
9892
0.03
0.18
0.0
1.0
R1EATW
12647
0.01
0.10
0.0
1.0
S1EATW
9896
0.01
0.09
0.0
1.0
R1BEDW
12642
0.08
0.27
0.0
1.0
S1BEDW
9893
0.07
0.25
0.0
1.0
Categorical Variable Codes
Value----------------------|R1WALKRW
.X=Dont do
|16
0.No
|12102
1.Yes
|534
Value----------------------|S1WALKRW
.U=Unmar
|2373
.V=Sp NR
|379
.X=Dont do
|14
0.No
|9533
1.Yes
|353
Value----------------------|R1DRESSW
Std Dev
Minimum
Maximum
Section B: Health
.X=Dont do
0.No
1.Yes
317
|7
|12278
|367
Value----------------------|S1DRESSW
.U=Unmar
|2373
.V=Sp NR
|379
.X=Dont do
|5
0.No
|9655
1.Yes
|240
Value----------------------|R1BATHW
.X=Dont do
|13
0.No
|12081
1.Yes
|558
Value----------------------|S1BATHW
.U=Unmar
|2373
.V=Sp NR
|379
.X=Dont do
|8
0.No
|9555
1.Yes
|337
Value----------------------|R1EATW
.X=Dont do
|5
0.No
|12529
1.Yes
|118
Value----------------------|S1EATW
.U=Unmar
|2373
.V=Sp NR
|379
.X=Dont do
|4
0.No
|9819
1.Yes
|77
Value----------------------|R1BEDW
.X=Dont do
|10
0.No
|11672
1.Yes
|970
Value----------------------|S1BEDW
.U=Unmar
|2373
.V=Sp NR
|379
.X=Dont do
|7
0.No
|9235
1.Yes
|658
How Constructed:
These ADL variables are derived for Wave 1 only. They code a yes/no dummy that indicates "any
difficulty" in a manner used by Wallace and Herzog in their paper (Wallace and Herzog, 1995). These
variables are provided for comparison to the results found in that paper.
Wallace and Herzog recode the ADL variables to 1 for "any difficulty" if the respondent answered "a
little difficult", "somewhat difficult" or "very difficult/can't do". A response of "not difficult at
all" is recoded to zero. This recoding scheme is applied for these variables to attempt to replicate the
results reported in their paper.
If a respondent said no difficulty jogging a mile, walking several blocks, or walking one block, the
RwWALKRW variable is set to 0 for no difficulty.
The spouse variables are taken from the spouse's self-reported Wave 1 data. If R is not married, spouse
variables are set to .U=unmarried. If R's spouse did not respond then the variables are set to .V=Spouse
is non-response.
There are several other versions of these variables. One version simply recodes the raw HRS variables.
Please see the descriptions of these (RwWALKR, RwDRESS, RwEAT, RwBED, RwBATH) under "Activities of Daily
Living (ADLs): Raw recodes".
Another version recodes a yes/no dummy variable in waves other than Wave 1, but these are not comparable
with the Wallace and Herzog recodes. Please see the descriptions of these (RwWALKRA, RwDRESSA, RwEATA,
RwBEDA, RwBATHA) under "Activities of Daily Living (ADLs): Some difficulty".
Section B: Health
318
Some of the Wallace and Herzog indices are also derived and include some of these measures in creating an
index. Please see "ADL Summary" and "Other Summary Indices".
Cross Wave Differences in Original HRS Data
Each wave has a series of questions about limits on activities of daily living (ADLs), but the ADLs, the
question wording, and possible answers vary.
In all waves questions ask about a number of activities, such as climbing stairs or picking up a dime. In
Wave 1 these include those identified as ADLs. The Wave 1 questions ask:
We are interested in how much difficulty people have with various activities because of a health or
physical problem. ... Exclude any difficulties that you expect to last less than three months. How
difficult is it for you to [...]? Is it not at all difficult, a little difficult, somewhat difficult,
very difficult, or something that you can't do at all?
The respondent can also answer "Don't do". The answers translate into 4 codes from 1 for not at all
difficult to 4 for very difficult/can't do. Another code is used for the "Don't do" response.
In subsequent waves, there is a question that simply asks if the respondent has any difficulty with a
particular activity. The question wording and possible answers are sufficiently different that the
levels of Wave 1 codes cannot be derived from the data.
HRS Variables Used
HRS 1992:
V307
V310
V316
V319
V320
B4D:WALK ACROSS A RO:IMP
B4G:IN/OUT BED UNAID:IMP
B4P:BATHE/SHOWR W/O :IMP
B4S:EAT W/O HELP
:IMP
B4T:DRESS W/O HELP :IMP
Section B: Health
319
Instrumental activities of daily living (IADLs): Raw recodes
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1MAP
R2MAP
R3MAP
R4MAP
R5MAP
R6MAP
R7MAP
R8MAP
R9MAP
R10MAP
R11MAP
R1MAP:W1 R
R2MAP:W2 R
R3MAP:W3 R
R4MAP:W4 R
R5MAP:W5 R
R6MAP:W6 R
R7MAP:W7 R
R8MAP:W8 R
R9MAP:W9 R
R10MAP:W10
R11MAP:W11
Diff-Use a
Diff-Use a
Diff-Use a
Diff-Use a
Diff-Use a
Diff-Use a
Diff-Use a
Diff-Use a
Diff-Use a
R Diff-Use
R Diff-Use
map
map
map
map
map
map
map
map
map
a map
a map
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1MAP
S2MAP
S3MAP
S4MAP
S5MAP
S6MAP
S7MAP
S8MAP
S9MAP
S10MAP
S11MAP
S1MAP:W1 S
S2MAP:W2 S
S3MAP:W3 S
S4MAP:W4 S
S5MAP:W5 S
S6MAP:W6 S
S7MAP:W7 S
S8MAP:W8 S
S9MAP:W9 S
S10MAP:W10
S11MAP:W11
Diff-Use a
Diff-Use a
Diff-Use a
Diff-Use a
Diff-Use a
Diff-Use a
Diff-Use a
Diff-Use a
Diff-Use a
S Diff-Use
S Diff-Use
map
map
map
map
map
map
map
map
map
a map
a map
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
R1CALC
R2CALC
R1CALC:W1 R Diff-Use a calculator
R2CALC:W2 R Diff-Use a calculator
Categ
Categ
1
2
S1CALC
S2CALC
S1CALC:W1 S Diff-Use a calculator
S2CALC:W2 S Diff-Use a calculator
Categ
Categ
1
R1MCWV
R1MCWV:W1 R Diff-Use a microwave
Categ
1
S1MCWV
S1MCWV:W1 S Diff-Use a microwave
Categ
1
R1COMP
R1COMP:W1 R Diff-Use a computer
Categ
1
S1COMP
S1COMP:W1 S Diff-Use a computer
Categ
2
3
4
5
6
7
8
9
10
11
R2PHONE
R3PHONE
R4PHONE
R5PHONE
R6PHONE
R7PHONE
R8PHONE
R9PHONE
R10PHONE
R11PHONE
R2PHONE:W2 R
R3PHONE:W3 R
R4PHONE:W4 R
R5PHONE:W5 R
R6PHONE:W6 R
R7PHONE:W7 R
R8PHONE:W8 R
R9PHONE:W9 R
R10PHONE:W10
R11PHONE:W11
Diff-Use telephone
Diff-Use telephone
Diff-Use telephone
Diff-Use telephone
Diff-Use telephone
Diff-Use telephone
Diff-Use telephone
Diff-Use telephone
R Diff-Use telephone
R Diff-Use telephone
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
S2PHONE
S3PHONE
S4PHONE
S5PHONE
S6PHONE
S7PHONE
S8PHONE
S9PHONE
S2PHONE:W2
S3PHONE:W3
S4PHONE:W4
S5PHONE:W5
S6PHONE:W6
S7PHONE:W7
S8PHONE:W8
S9PHONE:W9
Diff-Use
Diff-Use
Diff-Use
Diff-Use
Diff-Use
Diff-Use
Diff-Use
Diff-Use
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
S
S
S
S
S
S
S
S
telephone
telephone
telephone
telephone
telephone
telephone
telephone
telephone
Section B: Health
320
10
11
S10PHONE
S11PHONE
S10PHONE:W10 S Diff-Use telephone
S11PHONE:W11 S Diff-Use telephone
Categ
Categ
2
R2PHONER
R2PHONER:W2 R Diff-Use telephone
Categ
2
S2PHONER
S2PHONER:W2 S Diff-Use telephone
Categ
2
3
4
5
6
7
8
9
10
11
R2MONEY
R3MONEY
R4MONEY
R5MONEY
R6MONEY
R7MONEY
R8MONEY
R9MONEY
R10MONEY
R11MONEY
R2MONEY:W2 R
R3MONEY:W3 R
R4MONEY:W4 R
R5MONEY:W5 R
R6MONEY:W6 R
R7MONEY:W7 R
R8MONEY:W8 R
R9MONEY:W9 R
R10MONEY:W10
R11MONEY:W11
Diff-Managing money
Diff-Managing money
Diff-Managing money
Diff-Managing money
Diff-Managing money
Diff-Managing money
Diff-Managing money
Diff-Managing money
R Diff-Managing money
R Diff-Managing money
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2MONEY
S3MONEY
S4MONEY
S5MONEY
S6MONEY
S7MONEY
S8MONEY
S9MONEY
S10MONEY
S11MONEY
S2MONEY:W2 S
S3MONEY:W3 S
S4MONEY:W4 S
S5MONEY:W5 S
S6MONEY:W6 S
S7MONEY:W7 S
S8MONEY:W8 S
S9MONEY:W9 S
S10MONEY:W10
S11MONEY:W11
Diff-Managing money
Diff-Managing money
Diff-Managing money
Diff-Managing money
Diff-Managing money
Diff-Managing money
Diff-Managing money
Diff-Managing money
S Diff-Managing money
S Diff-Managing money
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
R2MONEYR
R2MONEYR:W2 R Diff-Managing money
Categ
2
S2MONEYR
S2MONEYR:W2 S Diff-Managing money
Categ
2
3
4
5
6
7
8
9
10
11
R2MEDS
R3MEDS
R4MEDS
R5MEDS
R6MEDS
R7MEDS
R8MEDS
R9MEDS
R10MEDS
R11MEDS
R2MEDS:W2 R
R3MEDS:W3 R
R4MEDS:W4 R
R5MEDS:W5 R
R6MEDS:W6 R
R7MEDS:W7 R
R8MEDS:W8 R
R9MEDS:W9 R
R10MEDS:W10
R11MEDS:W11
Diff-Take medications
Diff-Take medications
Diff-Take medications
Diff-Take medications
Diff-Take medications
Diff-Take medications
Diff-Take medications
Diff-Take medications
R Diff-Take medications
R Diff-Take medications
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2MEDS
S3MEDS
S4MEDS
S5MEDS
S6MEDS
S7MEDS
S8MEDS
S9MEDS
S10MEDS
S11MEDS
S2MEDS:W2 S
S3MEDS:W3 S
S4MEDS:W4 S
S5MEDS:W5 S
S6MEDS:W6 S
S7MEDS:W7 S
S8MEDS:W8 S
S9MEDS:W9 S
S10MEDS:W10
S11MEDS:W11
Diff-Take medications
Diff-Take medications
Diff-Take medications
Diff-Take medications
Diff-Take medications
Diff-Take medications
Diff-Take medications
Diff-Take medications
S Diff-Take medications
S Diff-Take medications
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
R2MEDSR
R2MEDSR:W2 R Diff-Take medications
Categ
2
S2MEDSR
S2MEDSR:W2 S Diff-Take medications
Categ
3
4
5
6
R3SHOP
R4SHOP
R5SHOP
R6SHOP
R3SHOP:W3
R4SHOP:W4
R5SHOP:W5
R6SHOP:W6
Categ
Categ
Categ
Categ
R
R
R
R
Diff-Shop
Diff-Shop
Diff-Shop
Diff-Shop
for
for
for
for
groceries
groceries
groceries
groceries
Section B: Health
321
7
8
9
10
11
R7SHOP
R8SHOP
R9SHOP
R10SHOP
R11SHOP
R7SHOP:W7 R
R8SHOP:W8 R
R9SHOP:W9 R
R10SHOP:W10
R11SHOP:W11
Diff-Shop for groceries
Diff-Shop for groceries
Diff-Shop for groceries
R Diff-Shop for groceries
R Diff-Shop for groceries
Categ
Categ
Categ
Categ
Categ
3
4
5
6
7
8
9
10
11
S3SHOP
S4SHOP
S5SHOP
S6SHOP
S7SHOP
S8SHOP
S9SHOP
S10SHOP
S11SHOP
S3SHOP:W3 S
S4SHOP:W4 S
S5SHOP:W5 S
S6SHOP:W6 S
S7SHOP:W7 S
S8SHOP:W8 S
S9SHOP:W9 S
S10SHOP:W10
S11SHOP:W11
Diff-Shop for groceries
Diff-Shop for groceries
Diff-Shop for groceries
Diff-Shop for groceries
Diff-Shop for groceries
Diff-Shop for groceries
Diff-Shop for groceries
S Diff-Shop for groceries
S Diff-Shop for groceries
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
R2SHOPR
R2SHOPR:W2 R Diff-Shop for groceries
Categ
2
S2SHOPR
S2SHOPR:W2 S Diff-Shop for groceries
Categ
3
4
5
6
7
8
9
10
11
R3MEALS
R4MEALS
R5MEALS
R6MEALS
R7MEALS
R8MEALS
R9MEALS
R10MEALS
R11MEALS
R3MEALS:W3 R
R4MEALS:W4 R
R5MEALS:W5 R
R6MEALS:W6 R
R7MEALS:W7 R
R8MEALS:W8 R
R9MEALS:W9 R
R10MEALS:W10
R11MEALS:W11
Diff-Preparing hot meals
Diff-Preparing hot meals
Diff-Preparing hot meals
Diff-Preparing hot meals
Diff-Preparing hot meals
Diff-Preparing hot meals
Diff-Preparing hot meals
R Diff-Preparing hot meals
R Diff-Preparing hot meals
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
3
4
5
6
7
8
9
10
11
S3MEALS
S4MEALS
S5MEALS
S6MEALS
S7MEALS
S8MEALS
S9MEALS
S10MEALS
S11MEALS
S3MEALS:W3 S
S4MEALS:W4 S
S5MEALS:W5 S
S6MEALS:W6 S
S7MEALS:W7 S
S8MEALS:W8 S
S9MEALS:W9 S
S10MEALS:W10
S11MEALS:W11
Diff-Preparing hot meals
Diff-Preparing hot meals
Diff-Preparing hot meals
Diff-Preparing hot meals
Diff-Preparing hot meals
Diff-Preparing hot meals
Diff-Preparing hot meals
S Diff-Preparing hot meals
S Diff-Preparing hot meals
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
R2MEALSR
R2MEALSR:W2 R Diff-Preparing hot meals
Categ
2
S2MEALSR
S2MEALSR:W2 S Diff-Preparing hot meals
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1MAP
R2MAP
R3MAP
R4MAP
R5MAP
R6MAP
R7MAP
R8MAP
R9MAP
R10MAP
R11MAP
12652
11400
17943
21332
19538
18140
20103
18444
17191
21862
20493
1.84
0.38
1.45
1.33
1.42
1.34
1.30
1.23
1.25
0.82
0.80
1.68
1.03
3.09
3.02
3.10
3.01
2.98
2.89
2.92
2.35
2.32
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S1MAP
S2MAP
S3MAP
9900
8725
11899
1.74
0.33
0.96
1.53
0.91
2.55
1.0
0.0
0.0
9.0
9.0
9.0
Section B: Health
322
S4MAP
S5MAP
S6MAP
S7MAP
S8MAP
S9MAP
S10MAP
S11MAP
13964
12719
11626
12963
11724
10636
13425
12467
0.91
0.99
0.87
0.86
0.83
0.78
0.53
0.52
2.54
2.65
2.47
2.48
2.42
2.34
1.88
1.86
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
R1CALC
R2CALC
12652
11398
2.06
0.41
2.52
1.59
1.0
0.0
9.0
9.0
S1CALC
S2CALC
9900
8720
1.95
0.37
2.40
1.52
1.0
0.0
9.0
9.0
R1MCWV
12652
1.51
1.69
1.0
9.0
S1MCWV
9900
1.42
1.51
1.0
9.0
R1COMP
12652
4.88
3.61
1.0
9.0
S1COMP
9900
4.82
3.61
1.0
9.0
R2PHONE
R3PHONE
R4PHONE
R5PHONE
R6PHONE
R7PHONE
R8PHONE
R9PHONE
R10PHONE
R11PHONE
11416
17951
21349
19551
18157
20109
18457
17202
21892
20529
0.05
0.12
0.12
0.13
0.12
0.12
0.11
0.12
0.09
0.09
0.39
0.74
0.72
0.78
0.73
0.72
0.68
0.72
0.54
0.56
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S2PHONE
S3PHONE
S4PHONE
S5PHONE
S6PHONE
S7PHONE
S8PHONE
S9PHONE
S10PHONE
S11PHONE
8736
11902
13970
12724
11636
12966
11733
10639
13431
12484
0.04
0.09
0.09
0.10
0.08
0.08
0.08
0.09
0.06
0.07
0.37
0.65
0.65
0.71
0.61
0.63
0.62
0.65
0.46
0.50
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
R2PHONER
8219
0.10
0.65
0.0
9.0
S2PHONER
4348
0.09
0.60
0.0
9.0
R2MONEY
R3MONEY
R4MONEY
R5MONEY
R6MONEY
R7MONEY
R8MONEY
R9MONEY
R10MONEY
R11MONEY
11415
17950
21349
19548
18152
20107
18456
17203
21880
20523
0.11
0.37
0.35
0.38
0.40
0.43
0.45
0.44
0.35
0.32
0.64
1.56
1.54
1.60
1.61
1.71
1.74
1.72
1.49
1.42
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S2MONEY
S3MONEY
S4MONEY
8735
11901
13970
0.10
0.41
0.37
0.65
1.74
1.66
0.0
0.0
0.0
9.0
9.0
9.0
Section B: Health
323
S5MONEY
S6MONEY
S7MONEY
S8MONEY
S9MONEY
S10MONEY
S11MONEY
12721
11631
12966
11731
10641
13427
12484
0.42
0.42
0.46
0.49
0.47
0.38
0.34
1.77
1.78
1.88
1.92
1.89
1.65
1.57
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
R2MONEYR
8214
0.88
2.54
0.0
9.0
S2MONEYR
4344
1.15
2.91
0.0
9.0
R2MEDS
R3MEDS
R4MEDS
R5MEDS
R6MEDS
R7MEDS
R8MEDS
R9MEDS
R10MEDS
R11MEDS
11414
17950
20068
18546
17776
19696
18206
17012
21622
20291
0.13
0.67
0.06
0.06
0.05
0.05
0.06
0.06
0.06
0.06
0.91
2.28
0.45
0.40
0.30
0.33
0.32
0.32
0.40
0.34
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S2MEDS
S3MEDS
S4MEDS
S5MEDS
S6MEDS
S7MEDS
S8MEDS
S9MEDS
S10MEDS
S11MEDS
8733
11902
13137
12052
11414
12741
11590
10546
13286
12347
0.12
0.66
0.05
0.04
0.03
0.04
0.04
0.04
0.05
0.04
0.88
2.30
0.42
0.35
0.24
0.30
0.28
0.27
0.37
0.25
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
R2MEDSR
8221
0.17
1.05
0.0
9.0
S2MEDSR
4348
0.12
0.84
0.0
9.0
R3SHOP
R4SHOP
R5SHOP
R6SHOP
R7SHOP
R8SHOP
R9SHOP
R10SHOP
R11SHOP
17950
21350
19551
18157
20074
18458
17206
21887
20520
0.47
0.45
0.48
0.48
0.45
0.45
0.43
0.29
0.28
1.70
1.67
1.73
1.71
1.67
1.63
1.59
1.22
1.16
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S3SHOP
S4SHOP
S5SHOP
S6SHOP
S7SHOP
S8SHOP
S9SHOP
S10SHOP
S11SHOP
11902
13970
12724
11635
12956
11732
10642
13431
12478
0.45
0.40
0.44
0.42
0.41
0.40
0.36
0.23
0.22
1.76
1.67
1.75
1.71
1.71
1.64
1.55
1.14
1.09
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
R2SHOPR
8220
0.46
1.52
0.0
9.0
S2SHOPR
4347
0.44
1.61
0.0
9.0
R3MEALS
17951
0.59
2.05
0.0
9.0
Section B: Health
324
R4MEALS
R5MEALS
R6MEALS
R7MEALS
R8MEALS
R9MEALS
R10MEALS
R11MEALS
21350
19549
18155
20112
18459
17205
21887
20523
0.56
0.61
0.63
0.57
0.52
0.51
0.33
0.32
2.01
2.07
2.10
2.02
1.90
1.87
1.45
1.42
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S3MEALS
S4MEALS
S5MEALS
S6MEALS
S7MEALS
S8MEALS
S9MEALS
S10MEALS
S11MEALS
11902
13971
12724
11634
12967
11732
10643
13431
12480
0.65
0.60
0.64
0.65
0.59
0.51
0.50
0.30
0.28
2.24
2.15
2.21
2.22
2.12
1.95
1.93
1.45
1.40
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
R2MEALSR
8220
0.59
2.02
0.0
9.0
S2MEALSR
4348
0.79
2.41
0.0
9.0
Categorical Variable Codes
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
R3MAP
8
4
36
12656
2198
568
2521
R4MAP
18
6
28
16175
1599
745
2813
R5MAP
14
3
24
14614
1393
782
2749
R6MAP
18
S3MAP
3
2
11
5658
418
9224
1348
263
1064
S4MAP
6
1
7
6869
537
11466
909
360
1229
S5MAP
5
1
5
6538
311
10334
779
380
1226
S6MAP
10
7
13596
1437
724
2383
R7MAP
10
6
10
15287
1504
742
2570
R8MAP
15
3
7
14013
1546
699
2186
R9MAP
14
3
9
13038
1480
576
2097
R10MAP
31
6
135
17338
2516
394
1614
R11MAP
36
7
18
16253
2373
384
1483
S7MAP
4
4
1
6777
380
10712
829
348
1074
S8MAP
7
3
1
6417
317
9673
810
316
925
S9MAP
7
1
2
6206
365
8835
775
251
775
S10MAP
8
3
81
7795
722
11364
1280
174
607
S11MAP
17
2
4
7473
591
10568
1185
166
548
Value----------------------|R1MAP
1.Not at all diff
|8225
2.A little diff
|1997
3.Somewhat diff
|957
4.Very diff/cant do
|1009
9. Dont do
|464
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
9. Dont do
|
R2MAP
18
8222
2
8949
1244
1106
2
1
98
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
Value----------------------|S1MAP
.U=Unmar
|2373
.V=Sp NR
|379
1.Not at all diff
|6644
2.A little diff
|1543
3.Somewhat diff
|747
4.Very diff/cant do
|686
9. Dont do
|280
Value----------------------|
S2MAP
3
6306
220
9533
827
308
958
Section B: Health
.D=DK/NA
.Q=Not asked this wv
.R=RF
.U=Unmar
.V=Sp NR
0.No
1.Yes,a little
2.Yes,a lot
3.Yes,DK/NA how much
4.Yes,RF how much
9. Dont do
325
|
|
|
|
|
|
|
|
|
|
|
12
4549
2
5970
384
7037
921
710
2
1
54
Value----------------------|R1CALC
1.Not at all diff
|9979
2.A little diff
|664
3.Somewhat diff
|257
4.Very diff/cant do
|354
9. Dont do
|1398
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
9. Dont do
|
R2CALC
19
8222
3
10050
452
546
4
346
Value----------------------|S1CALC
.U=Unmar
|2373
.V=Sp NR
|379
1.Not at all diff
|7973
2.A little diff
|522
3.Somewhat diff
|190
4.Very diff/cant do
|238
9. Dont do
|977
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
9. Dont do
|
Value----------------------|R1MCWV
1.Not at all diff
|10797
2.A little diff
|840
3.Somewhat diff
|259
4.Very diff/cant do
|199
9. Dont do
|557
Value----------------------|S1MCWV
.U=Unmar
|2373
.V=Sp NR
|379
1.Not at all diff
|8560
2.A little diff
|677
3.Somewhat diff
|192
4.Very diff/cant do
|133
9. Dont do
|338
Value----------------------|R1COMP
1.Not at all diff
|4059
2.A little diff
|1183
3.Somewhat diff
|853
4.Very diff/cant do
|1239
9. Dont do
|5318
Value----------------------|S1COMP
.U=Unmar
|2373
.V=Sp NR
|379
1.Not at all diff
|3218
2.A little diff
|976
3.Somewhat diff
|683
4.Very diff/cant do
|944
9. Dont do
|4079
S2CALC
16
4549
3
5970
384
7807
320
348
2
243
Section B: Health
326
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
9. Dont do
|
R4PHONE
4
3
28
20118
775
341
115
R5PHONE
2
2
24
18419
682
325
125
R6PHONE
1
R7PHONE
4
6
10
18978
693
331
107
R8PHONE
3
2
7
17372
658
344
83
R9PHONE
5
1
9
16137
692
282
91
R10PHONE
3
4
135
20574
1049
212
57
R11PHONE
6
1
18
19292
980
198
59
S3PHONE
S4PHONE
1
S5PHONE
S6PHONE
S8PHONE
1
1
6417
317
11243
317
126
47
S9PHONE
4
1
2
6206
365
10189
313
89
48
S10PHONE
3
2
81
7795
722
12853
480
71
27
S11PHONE
2
3
6306
220
11141
339
112
44
S7PHONE
1
4
1
6777
380
12477
321
114
54
7
6869
537
13355
405
148
62
1
5
6538
311
12192
336
125
71
R4MONEY
3
R5MONEY
4
R6MONEY
3
R7MONEY
4
R8MONEY
3
R9MONEY
3
R10MONEY
9
R11MONEY
9
4
28
19305
849
576
619
2
25
17562
790
579
617
3
7
16196
800
576
580
8
10
17980
768
625
734
3
7
16377
789
592
698
2
9
15225
736
612
630
10
135
19379
1411
500
590
4
18
18323
1255
446
499
7
17019
726
315
97
R2PHONE
1
8222
3
11117
153
126
4
3
13
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
2
11
5658
418
11389
327
133
53
Value----------------------|
.Q=Not asked this wv
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
9. Dont do
|
S2PHONE
4549
3
5970
384
8531
110
81
2
3
9
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
0.Able to do without help |
1.Unable to do without help|
2.Cant do
|
9. Dont do
|
R2PHONER
2
1
11420
7745
375
63
36
Value----------------------|
.M=Oth missing
|
.Q=Not asked this wv
|
.U=Unmar
|
.V=Sp NR
|
0.Able to do without help |
1.Unable to do without help|
2.Cant do
|
9. Dont do
|
S2PHONER
1
9123
5970
200
4122
170
40
16
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
R3PHONE
1
3
36
16925
642
281
103
R3MONEY
1
1
3
36
16166
713
534
537
R2MONEY
3
8222
2
10781
379
205
3
4
7473
591
11963
403
88
30
Section B: Health
4.Yes,RF how much
9. Dont do
327
|
|
4
43
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
S3MONEY
1
2
11
5658
418
10938
268
243
452
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
9. Dont do
|
S2MONEY
2
4549
2
5970
384
8319
261
114
1
3
37
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.R=RF
|
0.Able to do without help |
1.Unable to do without help|
9. Dont do
|
R2MONEYR
2
4
11420
2
6758
734
722
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
0.Able to do without help |
1.Unable to do without help|
9. Dont do
|
S2MONEYR
2
2
9123
1
5970
200
3522
302
520
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.Z=Dont do/No if did
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
4.Yes,RF how much
|
9. Dont do
|
R3MEDS
1
4
36
16009
585
113
1243
S5MONEY
2
S6MONEY
2
S7MONEY
1
S8MONEY
1
S9MONEY
1
S10MONEY
5
S11MONEY
2
7
6869
537
12906
355
223
486
1
6
6538
311
11700
288
229
504
3
3
6306
220
10667
280
220
464
4
1
6777
380
11840
317
226
583
2
1
6417
317
10666
281
230
554
2
2
6206
365
9692
256
210
483
4
81
7795
722
12171
597
198
461
4
7473
591
11410
523
169
382
R4MEDS
6
4
28
1278
19211
715
106
36
R5MEDS
2
2
24
1005
17733
672
117
24
R6MEDS
6
R8MEDS
2
3
7
251
17322
786
89
9
R9MEDS
7
376
16962
723
84
7
R7MEDS
6
4
36
387
18829
771
82
14
1
9
195
16149
783
71
9
R10MEDS
3
6
135
268
20552
996
44
30
R11MEDS
7
3
18
235
19282
951
42
16
S4MEDS
3
S5MEDS
S6MEDS
S8MEDS
S9MEDS
S10MEDS
S11MEDS
3
1
5
6538
311
672
11701
305
33
13
3
6306
220
222
11077
300
34
3
S7MEDS
2
2
10
6777
380
217
12370
336
26
9
2
1
6417
317
142
11212
344
28
6
1
2
6206
365
97
10197
326
18
5
3
81
7795
722
147
12825
426
18
17
R2MEDS
4
8222
2
10963
200
130
12
109
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.Z=Dont do/No if did
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
Value----------------------|
S4MONEY
1
S3MEDS
2
11
5658
418
10738
277
50
837
S2MEDS
7
6869
537
831
12730
337
47
23
4
7473
591
136
11933
398
12
4
Section B: Health
.D=DK/NA
.Q=Not asked this wv
.R=RF
.U=Unmar
.V=Sp NR
0.No
1.Yes,a little
2.Yes,a lot
4.Yes,RF how much
9. Dont do
328
|
|
|
|
|
|
|
|
|
|
4
4549
2
5970
384
8420
137
89
10
77
Value----------------------|
.M=Oth missing
|
.Q=Not asked this wv
|
0.Able to do without help |
1.Unable to do without help|
2.Cant do
|
9. Dont do
|
R2MEDSR
1
11420
7711
377
24
109
Value----------------------|
.M=Oth missing
|
.Q=Not asked this wv
|
.U=Unmar
|
.V=Sp NR
|
0.Able to do without help |
1.Unable to do without help|
2.Cant do
|
9. Dont do
|
S2MEDSR
1
9123
5970
200
4129
171
12
36
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
R3SHOP
2
3
36
15421
1024
867
638
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
R6SHOP
1
6
28
18465
1220
941
724
R5SHOP
2
2
24
16827
1141
859
724
S3SHOP
S4SHOP
S5SHOP
S6SHOP
1
2
11
5658
418
10630
489
318
465
1
7
6869
537
12565
562
361
482
1
5
6538
311
11385
536
315
488
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
R3MEALS
1
3
36
15739
688
554
970
R4MEALS
1
5
28
18781
844
619
1106
R5MEALS
3
3
24
17034
762
670
1083
R6MEALS
3
Value----------------------|
.D=DK/NA
|
.R=RF
|
S3MEALS
S4MEALS
S5MEALS
S6MEALS
2
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
0.Able to do without help |
1.Unable to do without help|
2.Cant do
|
9. Dont do
|
R2SHOPR
1
1
11420
6535
1180
277
228
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.U=Unmar
|
.V=Sp NR
|
0.Able to do without help |
1.Unable to do without help|
2.Cant do
|
9. Dont do
|
S2SHOPR
1
1
9123
5970
200
3662
442
105
138
2
R4SHOP
1
7
15568
1052
887
650
3
6306
220
10457
441
312
425
7
15689
775
651
1040
R7SHOP
4
6
45
17375
1107
907
685
R8SHOP
1
3
7
15820
1186
857
595
R9SHOP
1
1
9
14828
1036
818
524
R10SHOP
6
6
135
19170
1695
649
373
R11SHOP
10
6
18
17917
1702
590
311
S7SHOP
2
4
10
6777
380
11663
515
306
472
S8SHOP
S9SHOP
1
1
2
6206
365
9602
462
263
315
S10SHOP
3
2
81
7795
722
12252
765
209
205
S11SHOP
6
2
4
7473
591
11362
730
215
171
R7MEALS
2
5
10
17625
764
674
1049
R8MEALS
3
7
16216
765
631
847
R9MEALS
2
1
9
15095
744
610
756
R10MEALS
6
6
135
19648
1186
495
558
R11MEALS
8
5
18
18341
1238
444
500
S8MEALS
S9MEALS
2
1
S10MEALS
2
3
S11MEALS
5
1
S7MEALS
1
3
2
1
6417
317
10487
571
285
389
Section B: Health
.S=Skip
.U=Unmar
.V=Sp NR
0.No
1.Yes
2.Cant do
9. Dont do
329
|
|
|
|
|
|
|
11
5658
418
10591
320
208
783
Value----------------------|
.M=Oth missing
|
.Q=Not asked this wv
|
.R=RF
|
0.Able to do without help |
1.Unable to do without help|
2.Cant do
|
9. Dont do
|
R2MEALSR
1
11420
1
7018
588
179
435
Value----------------------|
.M=Oth missing
|
.Q=Not asked this wv
|
.U=Unmar
|
.V=Sp NR
|
0.Able to do without help |
1.Unable to do without help|
2.Cant do
|
9. Dont do
|
S2MEALSR
1
9123
5970
200
3676
262
72
338
7
6869
537
12505
389
233
844
5
6538
311
11309
351
246
818
3
6306
220
10343
336
201
754
1
6777
380
11639
367
202
759
1
6417
317
10577
373
210
572
2
6206
365
9637
314
181
511
81
7795
722
12397
534
153
347
4
7473
591
11491
551
137
301
How Constructed:
These variables recode the raw variables for difficulty with instrumental activities of daily living
(IADLs) as they appear in the HRS data except for missing values and accounting for skip patterns. Some
measures described here are not normally used as IADLs but are included with them because they seemed to
serve a similar measurement function in Wave 1. The measures described here are using the phone
(RwPHONE), taking medications (RwMEDS), managing money (RwMONEY), shopping for groceries (RwSHOP),
preparing meals (RwMEALS), using a map (RwMAP), using a calculator (RwCALC), using a microwave (R1MCWV),
and using a computer (R1COMP). In the following, references to Rw[iadl] apply to all these variables.
Respondents are asked about different IADL activities in Waves 1 and 2 then in the rest of the waves.
Wave 1 asks about using a map, a calculator, a microwave, and a computer, but not about preparing meals,
shopping for groceries, using the phone, taking medications, or managing money, which are activities
normally considered IADLs. From Wave 2 forward, the questions about using a microwave or a computer are
dropped, but using the phone, taking medications, and managing money are added. In Wave 2A and from Wave
3 forward, the questions about using a calculator are not asked, but shopping for groceries and preparing
meals are added. Using a map is asked in all waves except Wave 2A. From Wave 3 forward, the set of
IADLs is consistent and includes using the phone, taking medications, managing money, shopping for
groceries, preparing meals, and using a map.
In Wave 2A and 2H, the questions are asked differently and result in different raw recodes. The Wave 2H
variables are named as they are in other waves (R2[iadl], e.g., R2PHONE) and the Wave 2A variables
recoded raw variables are named R2[iadl]R, e.g., R2PHONER. For HRS respondents in Wave 2, the R2[iadl]R
variables are set to .Q, and similarly, for Ahead respondents in Wave 2, the R2[iadl] variables are set
to .Q.
To summarize, R1MCWV and R1COMP are available only in Wave 1; RwCALC is only available in Waves 1 and 2H;
R2PHONE, R2MEDS, and R2MONEY are available for Wave 2H; R2PHONER, R2MEDSR, R2MONEYR, R2SHOPR, and
R2MEALSR are available for Wave 2A; RwPHONE, RwMEDS, RwMONEY, RwSHOP and RwMEALS are available from Wave
3 forward; and RwMAP is available in all waves except Wave 2A.
In addition the categories for Rw[iadl] variables are uniquely different from other waves in Waves 1, 2H,
and 2A.
The recodes vary across waves because the question and responses can vary across waves. In Wave 1, the
HRS imputations are left in place. In all other waves don’t know is recoded to special missing code .D
and refused is recoded to .R.
In Wave 1 difficulty with an ADL is rated on a 4-point scale from no difficulty to very difficult/can’t
do. These are assigned without change. A "don’t do" answer is recoded to 9.
Section B: Health
330
In Wave 2H, the question asks if R has any difficulty with an IADL and if so, asks follow-up questions
about the degree of difficulty. The raw variable codes both questions as one categorical variable. A
"no" answer to the first question about any difficulty is recoded to 0, and the categorical levels of
difficulty are recoded appropriately to "a little" and "a lot", or "don’t know/refused how much". A
"don’t do" response is coded as 9.
In Wave 2A, except for managing money, the questions begin with "Are you able to do ... without help?"
and, if the response is "Don’t do", a follow-up question asks if this is because of a health problem. If
the response to the first question is yes, then R2[iadl]R is set to 0, able to do without help. If the
response is no, i.e., not able to do without help, R2[iadl]R is set to 1, unable to do without help. If
the respondent indicates that s/he doesn’t do the activity because of a health problem, R2[iadl]R is set
to 2, can’t do. If it is not because of a health problem, R2[iadl]R is set to 9, doesn’t do. The followup question about any difficulty was asked for these IADLS as a group, i.e., preparing meals, shopping
for groceries, making telephone calls and taking medications all together. Because it is impossible to
separate answers for specific IADLs, we don't use this question.
For managing money in Wave 2A, the initial question asks about being able to manage money without help.
If the response is no, a follow-up question asks if this is because of a health problem. If the response
to the first question is yes, then R2MONEYR is set to 0, able to do without help. If the response is no,
and the respondent indicates that it is because of a health problem, then R2MONEYR is set to 1, unable to
do without help. If not because of a health problem then R2MONEYR is set to 9, doesn’t do.
From Wave 3 forward there is just one question about difficulty using a map. RwMAP is set to 1 for any
difficulty (yes), 0 for no difficulty, 2 for "can't do" response, 9 for "don't do", .D for don’t know, .R
for refuse, and .S if the question was not asked.
From Wave 3 forward for other activities, follow-up questions for "can't do" or "don't do" responses are
used in deriving Rw[iadl]. Except for taking medications from Wave 4 forward, Rw[iadl] is derived as
follows. If the respondent answers yes or no to the first question about having any difficulty, then
Rw[iadl] is set to 1 for yes, difficulty or 0 for no difficulty, respectively. A don’t know or refuse
response is set to .D or .R, respectively, and if the question is not answered, Rw[iadl] is set to .S.
If the respondent answers "can't do" or "don't do" to the first question, the second question that asks
if it is because of a health problem is checked. If it is because of a health problem, Rw[iadl] is set
to 2 for "can't do". If not, the answer is considered a "don't do" response and Rw[iadl] is set to 9.
From Wave 4 forward for taking medications, the recoding uses three questions. If the respondent answers
yes to the first question about having any difficulty, RwMEDS is set to 1 for some difficulty. If the
answer is no, RwMEDS is set to 0. A don’t know or refuse response is set to .D or .R, respectively, and
if the question is not answered, Rw[iadl] is set to .S.
If the respondent answers "don't do" to the first question, a second question asks if he/she would have
difficulty if he/she took medications. If the answer is no, then RwMEDS is set to .Z to indicate the
respondent doesn't take medications but says he/she wouldn't have difficulty if he/she did.
If the answer to the second question is yes or if the respondent answers "can't do" to the first
question, a third question asks whether it is because of a health problem. If the answer is yes and the
respondent said "can't do" to the first question, RwMEDS is set to 2 for "can't do". If the answer is
yes and the respondent doesn't take medications but said he/she would have difficulty if he/she did,
RwMEDS is set to 1 for "yes", difficulty. If the answer is no, it is considered a "don't do" response.
The spouse variables are taken from the spouse's self-reported Wave 'w' data. If R is not married,
spouse variables are set to .U=unmarried. If R's spouse did not respond then the variables are set to
.V=Spouse is non-response.
There are other versions of the Rw[iadl] variables that recode to a yes/no measure for use in creating
indices. One version of this variable is derived that attempts to code a consistent cross-wave yes/no
dummy that indicates "some difficulty" (Rw[iadl]A). These are available from Wave 2 forward. Because of
the inconsistent coding of the underlying HRS data, we do not construct R1[iadl]A variables in Wave 1.
Please see the description of the Rw[iadl]A variables under "Instrumental activities of daily living
(IADLs): Some difficulty" for this version. Rw[iadl]A variables are used to construct an IADL summary
index. Please see "IADL Summary".
Section B: Health
331
A third version of these variables are derived for Wave 1 only (R1[iadl]W). They code a yes/no dummy
that indicates "any difficulty" in a manner used by Wallace and Herzog in their paper. These are
provided for comparison to the results found in that paper. Please see "IADLs: Recodes for comparison to
Wallace and Herzog" for a description of the R1MAPW, R1CALCW, R1MCWVW, and R1COMPW variables. Note that
the Wallace and Herzog variables result in more limitation than the 0/1 recodes done in other waves
(Rw[iadl]A) solely due to measurement differences in the raw data. The R1[iadl]W variables are not
appropriate for comparison to the Rw[iadl]A variables in other waves.
Cross Wave Differences in Original HRS Data
Each wave has a series of questions about limits on instrumental activities of daily living (IADLs), but
the specific activities, the question wording, and possible answers vary across waves. Some measures
described here are not normally used as IADLs but are included with them because they seemed to serve a
similar measurement function in Wave 1. The IADL measures described here are using the phone (RwPHONE),
taking medications (RwMEDS), managing money (RwMONEY), shopping for groceries (RwSHOP), preparing meals
(RwMEALS), using a map (RwMAP), using a calculator (RwCALC), using a microwave (R1MCWV), and using a
computer (R1COMP).
Respondents are asked about different IADL activities in Waves 1 and 2 then in the rest of the waves.
Wave 1 asks about using a map, a calculator, a microwave, and a computer, but not about preparing meals,
shopping for groceries, using the phone, taking medications, or managing money, which are activities
normally considered IADLs. From Wave 2 forward, the questions about using a microwave or a computer are
dropped, but using the phone, taking medications, and managing money are added. In Wave 2A and from Wave
3 forward, the questions about using a calculator are not asked, but shopping for groceries and preparing
meals are added. Using a map is asked in all waves except Wave 2A. From Wave 3 forward, the set of
IADLs is consistent and includes using the phone, taking medications, managing money, shopping for
groceries, preparing meals, and using a map.
The question wording and answers also varied across waves. The Wave 1 questions ask:
Here are some other activities that people may have difficulty with. How difficult is it for you to
[...]?
The respondent can answer not at all difficult, a little difficult, somewhat difficult, very
difficult/can't do, or don't do. The answers translate into 4 codes from 1 for not at all difficult to 4
for very difficult/can't do. Another code is used for the "Don't do" response. The specific wording for
the IADLs is: use a map to figure out how to get around a strange place, use a microwave oven after
reading the instructions, use a calculator to help balance your checkbook, and use a computer or word
processor.
In Wave 2H the question wording is similar to that in Wave 1 but is asked in 2 parts:
1) Here are some other activities that people may have difficulty with.
...? Respondent can answer yes or no.
Do you have any difficulty with
2) [IF YES] Is that a little difficulty or a lot of difficulty?
In the data the answers to the 2-part question are recoded into 5-categories: 1=yes, a little difficult;
2=yes, a lot; 3=yes, DK; 4=yes, RF; 5=No; 6=doesn't do. Note that there is no "Can't do" category and
that "Don't do" is not an option in the instrument. The "Doesn't do" category is likely the result of
post-interview interpretation of interview comments so are observed less frequently than in other waves,
simply because of questionnaire differences. This difference is considerable among the IADLs. The
specific wording for the IADLs is: using a map to figure out how to get around a strange place, using a
calculator to help balance your checkbook, managing your money, making telephone calls, and following
instructions for taking prescription medications.
In Wave 2A, the questions are asked differently for managing money and for other IADLs.
prefaced with the following:
The section is
Here are a few other daily activities which some people have difficulty with. Please tell me whether you
are able to do each activity without help from anyone else. If you don't do the activity at all, just
tell me so.
Section B: Health
332
Except for managing money, the IADL questions ask:
Are you able to .. without help? [IF DON’T DO] Is that because of a health problem?
If the respondent reports being able to do any one of these activities without help, a question asks:
Without help do you have any difficulty with [list of all applicable IADLs]? [IF YES] is that a little or
a lot of difficulty?
The specific wording for these activities is: prepare(ing) hot meals, shop(ping) for groceries, make(ing)
telephone calls and take(ing) medications.
For managing money the Wave 2A questions ask:
1) Do you manage your money-such as paying your bills and keeping track of expenses, without anyone's
help?
2) [IF NO] Is that because of a health or memory condition?
3) [IF YES, DK, or RF to Q1, or YES to Q2] Do you have any difficulty managing your money (when someone
is helping you/without help)?
4) [IF YES to Q3] Is that a little or a lot of difficulty?
From Wave 3 forward, the question wording is again similar to that in Wave 1 but prefaced with additional
text. The question asks:
Here are a few other activities which some people have difficulty with because of a physical, mental,
emotional, or memory problem. Please tell me if you have any difficulty with each activity I name. If
you don't do the activity at all, just tell me so. Exclude any difficulties you expect to last less than
three months.
For using a map the question in Wave 3 is: Do you have any difficulty using a map to figure out how to
get around in a strange place? From Wave 4 forward, this is prefaced with “Because of a health or memory
problem....” Responses may be yes, no, can’t do, or don’t do.
For other IADLs, a series of questions may be asked:
1) Because of a health or memory problem do you have any difficulty with ...? The respondent can answer
yes, no, "can't do", or "don't do". In Wave 3, for taking medications, the wording for "don't do" is
"don't take medications".
2) From Wave 4 forward for taking medications [If DON’T DO to Q1] Do you think you would have any
difficulty taking medications if you needed to do so?
3) [If YES, DK, or RF to Q2 for taking medications from Wave 4 forward; CAN’T DO to Q1 for taking
medications in Wave 3; or CAN’T DO or DON’T DO to Q1 for all other activities] Is that because of a
health or memory problem? The respondent can answer yes or no. In Wave 3A, this question is also asked
if the response to Q1 is don’t know or refuse. In Wave 3A and 3H, this question is skipped for a "don't
take medications" response. From Wave 4 forward, whether the question is asked depends on the answer to
Q2 for taking medications if Q1 had a "don't do" response.
4) [If YES, DK, or RF to Q1 or Q3] Does anyone help you ...? The respondent can answer yes or no. In
Wave 3, this question is not asked for managing money when the Q1 response is DK or RF. From Wave 4
forward this question is not asked if R is living in a nursing home. In Wave 7, a mistake in the Spanish
instrument allowed "can't do" and "don't do" responses for the help questions, and a few of these
responses are given for all of the IADLs except help with medications and money.
The specific wording for these activities is: prepare(ing) a hot meal, shop(ping) for groceries,
make(ing) phone calls, take(ing) medications, and manage(ing) your money -- such as paying your bills and
keeping track of expenses.
Section B: Health
333
HRS Variables Used
V321
V322
V323
V324
AHEAD 1993:
B903A1
B903A2
B903A3
B903A4
B904A1
B904A2
B904A3
B904A4
B948
B949
HRS 1994:
W323
W324
W325
W326
W327
AHEAD 1995:
D2012
D2021
D2023
D2026
D2028
D2031
D2033
D2036
D2038
D2099
D2100
HRS 1996:
E2027
E2036
E2038
E2041
E2043
E2046
E2048
E2051
E2053
E2093
E2094
HRS 1998:
F2553
F2562
F2564
F2567
F2569
F2572
F2574
F2577
F2578
F2579
F2618
F2619
HRS 2000:
G2851
G2860
B5A:USE
B5B:USE
B5C:USE
B5D:USE
MAP, STRNG P:IMP
MCRWV W/ INS:IMP
CALCULATOR :IMP
COMPUTER
:IMP
E52. IADL W/OUT HELP-PREPARE HOT MEAL
E52. IADL W/OUT HELP-SHOP FOR GROCERIES
E52. IADL W/OUT HELP-MAKE PHONE CALLS
E52. IADL W/OUT HELP-TAKE MEDICATIONS
E52a. IADL WHY DONT-PREPARE HOT MEALS
E52a. IADL WHY DONT-SHOP FOR GROCERIES
E52a. IADL WHY DONT-MAKE PHONE CALLS
E52a. IADL WHY DONT-TAKE MEDICATIONS
E57. IADL MONEY
E57a. MONEY WHY CANT
B5.USING A MAP
B5a.USING A CALCULATOR
B5b.MANAGING MONEY
B5c.MAKING TELEPHONE CAL
B5d.TAKING PRESCRIPTION
E93.MAPS
E95.IADL MEALS DIFF
E95B.MEALS -WHY DONT
E96.IADL GROC DIFF
E96B.GROC -WHY DONT
E97.IADLS PHONE DIFF
E97B.PHONE -WHY DONT
E98.IADLS MEDICATION DIFF
E98B.MED-WHY DONT
E106.IADL MONEY DIFF
E106A.MONEY HEALTH PROBLEM
E93.MAPS
E95.IADL MEALS DIFF
E95B.MEALS -WHY DONT
E96.IADL GROC DIFF
E96B.GROC -WHY DONT
E97.IADLS PHONE DIFF
E97B.PHONE -WHY DONT
E98.IADLS MEDICATION DIFF
E98B.MED-WHY DONT
E106.IADL MONEY DIFF
E106A.MONEY HEALTH PROBLEM
E93.MAPS
E95.IADL MEALS DIFF
E95B.MEALS -WHY DONT
E96.IADL GROC DIFF
E96B.GROC -WHY DONT
E97.IADLS PHONE DIFF
E97B.PHONE -WHY DONT
E98.IADLS MEDICATION DIFF
E98A
E98B.MED-WHY DONT
E106.IADL MONEY DIFF
E106A.MONEY HEALTH PROBLEM
E93.MAPS
E95.IADL MEALS DIFF
Section B: Health
HRS
HRS
HRS
HRS
HRS
G2862
G2865
G2867
G2870
G2872
G2875
G2876
G2877
G2916
G2917
2002:
HG040
HG041
HG042
HG044
HG045
HG047
HG048
HG050
HG051
HG052
HG059
HG060
2004:
JG040
JG041
JG042
JG044
JG045
JG047
JG048
JG050
JG051
JG052
JG059
JG060
2006:
KG040
KG041
KG042
KG044
KG045
KG047
KG048
KG050
KG051
KG052
KG059
KG060
2008:
LG040
LG041
LG042
LG044
LG045
LG047
LG048
LG050
LG051
LG052
LG059
LG060
2010:
334
E95B.MEALS -WHY DONT
E96.IADL GROC DIFF
E96B.GROC -WHY DONT
E97.IADLS PHONE DIFF
E97B.PHONE -WHY DONT
E98.IADLS MEDICATION DIFF
E98A.IADLS MED IF NEEDED DIFF
E98B.MED-WHY DONT
E106.IADL MONEY DIFF
E106A.MONEY HEALTH PROBLEM
DIFFICULTY- USING MAPS
IADL MEAL PREPARATION DIFFICULTY
WHY- MEAL PREPARATION DIFFICULTY
IADL GROC SHOP DIFFICULTY
WHY- GROC SHOP DIFFICULTY
IADL MAKING PHONE CALLS DIFFICULTY
WHY- MAKING PHONE CALLS DIFFICULTY
IADL TAKING MEDICATION DIFFICULTY
IADL TAKING MEDS IF NEEDED DIFFICULTY
WHY- TAKING MEDICATIONS DIFFICULTY
IADL MANAGING MONEY DIFFICULTY
WHY- MANAGING MONEY DIFFICULTY
DIFFICULTY- USING MAPS
IADL MEAL PREPARATION DIFFICULTY
WHY- MEAL PREPARATION DIFFICULTY
IADL GROC SHOP DIFFICULTY
WHY- GROC SHOP DIFFICULTY
IADL MAKING PHONE CALLS DIFFICULTY
WHY- MAKING PHONE CALLS DIFFICULTY
IADL TAKING MEDICATION DIFFICULTY
IADL TAKING MEDS IF NEEDED DIFFICULTY
WHY- TAKING MEDICATIONS DIFFICULTY
IADL MANAGING MONEY DIFFICULTY
WHY- MANAGING MONEY DIFFICULTY
DIFFICULTY- USING MAPS
IADL MEAL PREPARATION DIFFICULTY
WHY- MEAL PREPARATION DIFFICULTY
IADL GROC SHOP DIFFICULTY
WHY- GROC SHOP DIFFICULTY
IADL MAKING PHONE CALLS DIFFICULTY
WHY- MAKING PHONE CALLS DIFFICULTY
IADL TAKING MEDICATION DIFFICULTY
IADL TAKING MEDS IF NEEDED DIFFICULTY
WHY- TAKING MEDICATIONS DIFFICULTY
IADL MANAGING MONEY DIFFICULTY
WHY- MANAGING MONEY DIFFICULTY
DIFFICULTY- USING MAPS
IADL MEAL PREPARATION DIFFICULTY
WHY- MEAL PREPARATION DIFFICULTY
IADL GROC SHOP DIFFICULTY
WHY- GROC SHOP DIFFICULTY
IADL MAKING PHONE CALLS DIFFICULTY
WHY- MAKING PHONE CALLS DIFFICULTY
IADL TAKING MEDICATION DIFFICULTY
IADL TAKING MEDS IF NEEDED DIFFICULTY
WHY- TAKING MEDICATIONS DIFFICULTY
IADL MANAGING MONEY DIFFICULTY
WHY- MANAGING MONEY DIFFICULTY
Section B: Health
MG040
MG041
MG042
MG044
MG045
MG047
MG048
MG050
MG051
MG052
MG059
MG060
HRS 2012:
NG040
NG041
NG042
NG044
NG045
NG047
NG048
NG050
NG051
NG052
NG059
NG060
335
DIFFICULTY- USING MAPS
IADL MEAL PREPARATION DIFFICULTY
WHY- MEAL PREPARATION DIFFICULTY
IADL GROC SHOP DIFFICULTY
WHY- GROC SHOP DIFFICULTY
IADL MAKING PHONE CALLS DIFFICULTY
WHY- MAKING PHONE CALLS DIFFICULTY
IADL TAKING MEDICATION DIFFICULTY
IADL TAKING MEDS IF NEEDED DIFFICULTY
WHY- TAKING MEDICATIONS DIFFICULTY
IADL MANAGING MONEY DIFFICULTY
WHY- MANAGING MONEY DIFFICULTY
DIFFICULTY- USING MAPS
IADL MEAL PREPARATION DIFFICULTY
WHY- MEAL PREPARATION DIFFICULTY
IADL GROC SHOP DIFFICULTY
WHY- GROC SHOP DIFFICULTY
IADL MAKING PHONE CALLS DIFFICULTY
WHY- MAKING PHONE CALLS DIFFICULTY
IADL TAKING MEDICATION DIFFICULTY
IADL TAKING MEDS IF NEEDED DIFFICULTY
WHY- TAKING MEDICATIONS DIFFICULTY
IADL MANAGING MONEY DIFFICULTY
WHY- MANAGING MONEY DIFFICULTY
Section B: Health
336
Instrumental activities of daily living (IADLs): Some difficulty
Wave
Variable
Label
Type
2
3
4
5
6
7
8
9
10
11
R2MAPA
R3MAPA
R4MAPA
R5MAPA
R6MAPA
R7MAPA
R8MAPA
R9MAPA
R10MAPA
R11MAPA
R2MAPA:W2 R
R3MAPA:W3 R
R4MAPA:W4 R
R5MAPA:W5 R
R6MAPA:W6 R
R7MAPA:W7 R
R8MAPA:W8 R
R9MAPA:W9 R
R10MAPA:W10
R11MAPA:W11
Some Diff-Use a
Some Diff-Use a
Some Diff-Use a
Some Diff-Use a
Some Diff-Use a
Some Diff-Use a
Some Diff-Use a
Some Diff-Use a
R Some Diff-Use
R Some Diff-Use
map
map
map
map
map
map
map
map
a map
a map
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2MAPA
S3MAPA
S4MAPA
S5MAPA
S6MAPA
S7MAPA
S8MAPA
S9MAPA
S10MAPA
S11MAPA
S2MAPA:W2 S
S3MAPA:W3 S
S4MAPA:W4 S
S5MAPA:W5 S
S6MAPA:W6 S
S7MAPA:W7 S
S8MAPA:W8 S
S9MAPA:W9 S
S10MAPA:W10
S11MAPA:W11
Some Diff-Use a
Some Diff-Use a
Some Diff-Use a
Some Diff-Use a
Some Diff-Use a
Some Diff-Use a
Some Diff-Use a
Some Diff-Use a
S Some Diff-Use
S Some Diff-Use
map
map
map
map
map
map
map
map
a map
a map
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
R2CALCA
R2CALCA:W2 R Some Diff-Use a calculator
Categ
2
S2CALCA
S2CALCA:W2 S Some Diff-Use a calculator
Categ
2
3
4
5
6
7
8
9
10
11
R2PHONEA
R3PHONEA
R4PHONEA
R5PHONEA
R6PHONEA
R7PHONEA
R8PHONEA
R9PHONEA
R10PHONEA
R11PHONEA
R2PHONEA:W2 R
R3PHONEA:W3 R
R4PHONEA:W4 R
R5PHONEA:W5 R
R6PHONEA:W6 R
R7PHONEA:W7 R
R8PHONEA:W8 R
R9PHONEA:W9 R
R10PHONEA:W10
R11PHONEA:W11
Some Diff-Use telephone
Some Diff-Use telephone
Some Diff-Use telephone
Some Diff-Use telephone
Some Diff-Use telephone
Some Diff-Use telephone
Some Diff-Use telephone
Some Diff-Use telephone
R Some Diff-Use telephone
R Some Diff-Use telephone
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2PHONEA
S3PHONEA
S4PHONEA
S5PHONEA
S6PHONEA
S7PHONEA
S8PHONEA
S9PHONEA
S10PHONEA
S11PHONEA
S2PHONEA:W2 S
S3PHONEA:W3 S
S4PHONEA:W4 S
S5PHONEA:W5 S
S6PHONEA:W6 S
S7PHONEA:W7 S
S8PHONEA:W8 S
S9PHONEA:W9 S
S10PHONEA:W10
S11PHONEA:W11
Some Diff-Use telephone
Some Diff-Use telephone
Some Diff-Use telephone
Some Diff-Use telephone
Some Diff-Use telephone
Some Diff-Use telephone
Some Diff-Use telephone
Some Diff-Use telephone
S Some Diff-Use telephone
S Some Diff-Use telephone
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
R2MONEYA
R3MONEYA
R4MONEYA
R5MONEYA
R6MONEYA
R7MONEYA
R8MONEYA
R9MONEYA
R10MONEYA
R2MONEYA:W2 R
R3MONEYA:W3 R
R4MONEYA:W4 R
R5MONEYA:W5 R
R6MONEYA:W6 R
R7MONEYA:W7 R
R8MONEYA:W8 R
R9MONEYA:W9 R
R10MONEYA:W10
Some Diff-Managing money
Some Diff-Managing money
Some Diff-Managing money
Some Diff-Managing money
Some Diff-Managing money
Some Diff-Managing money
Some Diff-Managing money
Some Diff-Managing money
R Some Diff-Managing money
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Section B: Health
337
11
R11MONEYA
R11MONEYA:W11 R Some Diff-Managing money
Categ
2
3
4
5
6
7
8
9
10
11
S2MONEYA
S3MONEYA
S4MONEYA
S5MONEYA
S6MONEYA
S7MONEYA
S8MONEYA
S9MONEYA
S10MONEYA
S11MONEYA
S2MONEYA:W2 S
S3MONEYA:W3 S
S4MONEYA:W4 S
S5MONEYA:W5 S
S6MONEYA:W6 S
S7MONEYA:W7 S
S8MONEYA:W8 S
S9MONEYA:W9 S
S10MONEYA:W10
S11MONEYA:W11
Some Diff-Managing money
Some Diff-Managing money
Some Diff-Managing money
Some Diff-Managing money
Some Diff-Managing money
Some Diff-Managing money
Some Diff-Managing money
Some Diff-Managing money
S Some Diff-Managing money
S Some Diff-Managing money
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2MEDSA
R3MEDSA
R4MEDSA
R5MEDSA
R6MEDSA
R7MEDSA
R8MEDSA
R9MEDSA
R10MEDSA
R11MEDSA
R2MEDSA:W2 R
R3MEDSA:W3 R
R4MEDSA:W4 R
R5MEDSA:W5 R
R6MEDSA:W6 R
R7MEDSA:W7 R
R8MEDSA:W8 R
R9MEDSA:W9 R
R10MEDSA:W10
R11MEDSA:W11
Some Diff-Take medications
Some Diff-Take medications
Some Diff-Take medications
Some Diff-Take medications
Some Diff-Take medications
Some Diff-Take medications
Some Diff-Take medications
Some Diff-Take medications
R Some Diff-Take medications
R Some Diff-Take medications
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2MEDSA
S3MEDSA
S4MEDSA
S5MEDSA
S6MEDSA
S7MEDSA
S8MEDSA
S9MEDSA
S10MEDSA
S11MEDSA
S2MEDSA:W2 S
S3MEDSA:W3 S
S4MEDSA:W4 S
S5MEDSA:W5 S
S6MEDSA:W6 S
S7MEDSA:W7 S
S8MEDSA:W8 S
S9MEDSA:W9 S
S10MEDSA:W10
S11MEDSA:W11
Some Diff-Take medications
Some Diff-Take medications
Some Diff-Take medications
Some Diff-Take medications
Some Diff-Take medications
Some Diff-Take medications
Some Diff-Take medications
Some Diff-Take medications
S Some Diff-Take medications
S Some Diff-Take medications
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2SHOPA
R3SHOPA
R4SHOPA
R5SHOPA
R6SHOPA
R7SHOPA
R8SHOPA
R9SHOPA
R10SHOPA
R11SHOPA
R2SHOPA:W2 R
R3SHOPA:W3 R
R4SHOPA:W4 R
R5SHOPA:W5 R
R6SHOPA:W6 R
R7SHOPA:W7 R
R8SHOPA:W8 R
R9SHOPA:W9 R
R10SHOPA:W10
R11SHOPA:W11
Some Diff-Shop for grocery
Some Diff-Shop for grocery
Some Diff-Shop for grocery
Some Diff-Shop for grocery
Some Diff-Shop for grocery
Some Diff-Shop for grocery
Some Diff-Shop for grocery
Some Diff-Shop for grocery
R Some Diff-Shop for grocery
R Some Diff-Shop for grocery
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2SHOPA
S3SHOPA
S4SHOPA
S5SHOPA
S6SHOPA
S7SHOPA
S8SHOPA
S9SHOPA
S10SHOPA
S11SHOPA
S2SHOPA:W2 S
S3SHOPA:W3 S
S4SHOPA:W4 S
S5SHOPA:W5 S
S6SHOPA:W6 S
S7SHOPA:W7 S
S8SHOPA:W8 S
S9SHOPA:W9 S
S10SHOPA:W10
S11SHOPA:W11
Some Diff-Shop for grocery
Some Diff-Shop for grocery
Some Diff-Shop for grocery
Some Diff-Shop for grocery
Some Diff-Shop for grocery
Some Diff-Shop for grocery
Some Diff-Shop for grocery
Some Diff-Shop for grocery
S Some Diff-Shop for grocery
S Some Diff-Shop for grocery
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
R2MEALSA
R3MEALSA
R4MEALSA
R5MEALSA
R6MEALSA
R7MEALSA
R2MEALSA:W2
R3MEALSA:W3
R4MEALSA:W4
R5MEALSA:W5
R6MEALSA:W6
R7MEALSA:W7
R
R
R
R
R
R
Some
Some
Some
Some
Some
Some
Diff-Prepare
Diff-Prepare
Diff-Prepare
Diff-Prepare
Diff-Prepare
Diff-Prepare
hot
hot
hot
hot
hot
hot
meal
meal
meal
meal
meal
meal
Categ
Categ
Categ
Categ
Categ
Categ
Section B: Health
338
8
9
10
11
R8MEALSA
R9MEALSA
R10MEALSA
R11MEALSA
R8MEALSA:W8 R
R9MEALSA:W9 R
R10MEALSA:W10
R11MEALSA:W11
Some Diff-Prepare hot meal
Some Diff-Prepare hot meal
R Some Diff-Prepare hot meal
R Some Diff-Prepare hot meal
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2MEALSA
S3MEALSA
S4MEALSA
S5MEALSA
S6MEALSA
S7MEALSA
S8MEALSA
S9MEALSA
S10MEALSA
S11MEALSA
S2MEALSA:W2 S
S3MEALSA:W3 S
S4MEALSA:W4 S
S5MEALSA:W5 S
S6MEALSA:W6 S
S7MEALSA:W7 S
S8MEALSA:W8 S
S9MEALSA:W9 S
S10MEALSA:W10
S11MEALSA:W11
Some Diff-Prepare hot meal
Some Diff-Prepare hot meal
Some Diff-Prepare hot meal
Some Diff-Prepare hot meal
Some Diff-Prepare hot meal
Some Diff-Prepare hot meal
Some Diff-Prepare hot meal
Some Diff-Prepare hot meal
S Some Diff-Prepare hot meal
S Some Diff-Prepare hot meal
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R2MAPA
R3MAPA
R4MAPA
R5MAPA
R6MAPA
R7MAPA
R8MAPA
R9MAPA
R10MAPA
R11MAPA
11302
15422
18519
16789
15757
17533
16258
15094
20248
19010
0.21
0.18
0.13
0.13
0.14
0.13
0.14
0.14
0.14
0.15
0.41
0.38
0.33
0.34
0.34
0.33
0.35
0.34
0.35
0.35
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2MAPA
S3MAPA
S4MAPA
S5MAPA
S6MAPA
S7MAPA
S8MAPA
S9MAPA
S10MAPA
S11MAPA
8671
10835
12735
11493
10668
11889
10799
9861
12818
11919
0.19
0.15
0.10
0.10
0.11
0.10
0.10
0.10
0.11
0.11
0.39
0.36
0.30
0.30
0.31
0.30
0.31
0.31
0.32
0.32
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2CALCA
11052
0.09
0.29
0.0
1.0
S2CALCA
8477
0.08
0.27
0.0
1.0
R2PHONEA
R3PHONEA
R4PHONEA
R5PHONEA
R6PHONEA
R7PHONEA
R8PHONEA
R9PHONEA
R10PHONEA
R11PHONEA
19586
17848
21234
19426
18060
20002
18374
17111
21835
20470
0.04
0.05
0.05
0.05
0.06
0.05
0.05
0.06
0.06
0.06
0.19
0.22
0.22
0.22
0.23
0.22
0.23
0.23
0.23
0.23
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2PHONEA
S3PHONEA
S4PHONEA
S5PHONEA
S6PHONEA
S7PHONEA
13059
11849
13908
12653
11592
12912
0.03
0.04
0.04
0.04
0.04
0.03
0.17
0.19
0.20
0.19
0.19
0.18
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
Section B: Health
339
S8PHONEA
S9PHONEA
S10PHONEA
S11PHONEA
11686
10591
13404
12454
0.04
0.04
0.04
0.04
0.19
0.19
0.20
0.19
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
R2MONEYA
R3MONEYA
R4MONEYA
R5MONEYA
R6MONEYA
R7MONEYA
R8MONEYA
R9MONEYA
R10MONEYA
R11MONEYA
18864
17413
20730
18931
17572
19373
17758
16573
21290
20024
0.07
0.07
0.07
0.07
0.08
0.07
0.08
0.08
0.09
0.08
0.26
0.26
0.25
0.26
0.27
0.26
0.27
0.27
0.29
0.28
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2MONEYA
S3MONEYA
S4MONEYA
S5MONEYA
S6MONEYA
S7MONEYA
S8MONEYA
S9MONEYA
S10MONEYA
S11MONEYA
12522
11449
13484
12217
11167
12383
11177
10158
12966
12102
0.05
0.04
0.04
0.04
0.04
0.04
0.05
0.05
0.06
0.06
0.23
0.21
0.20
0.20
0.21
0.20
0.21
0.21
0.24
0.23
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2MEDSA
R3MEDSA
R4MEDSA
R5MEDSA
R6MEDSA
R7MEDSA
R8MEDSA
R9MEDSA
R10MEDSA
R11MEDSA
19417
16707
20032
18522
17769
19682
18197
17003
21592
20275
0.04
0.04
0.04
0.04
0.05
0.04
0.05
0.05
0.05
0.05
0.19
0.20
0.20
0.20
0.21
0.20
0.21
0.22
0.21
0.22
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2MEDSA
S3MEDSA
S4MEDSA
S5MEDSA
S6MEDSA
S7MEDSA
S8MEDSA
S9MEDSA
S10MEDSA
S11MEDSA
12968
11065
13114
12039
11411
12732
11584
10541
13269
12343
0.03
0.03
0.03
0.03
0.03
0.03
0.03
0.03
0.03
0.03
0.18
0.17
0.17
0.17
0.17
0.17
0.18
0.18
0.18
0.18
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2SHOPA
R3SHOPA
R4SHOPA
R5SHOPA
R6SHOPA
R7SHOPA
R8SHOPA
R9SHOPA
R10SHOPA
R11SHOPA
7992
17312
20626
18827
17507
19389
17863
16682
21514
20209
0.18
0.11
0.10
0.11
0.11
0.10
0.11
0.11
0.11
0.11
0.39
0.31
0.31
0.31
0.31
0.31
0.32
0.31
0.31
0.32
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2SHOPA
S3SHOPA
S4SHOPA
4209
11437
13488
0.13
0.07
0.07
0.34
0.26
0.25
0.0
0.0
0.0
1.0
1.0
1.0
Section B: Health
340
S5SHOPA
S6SHOPA
S7SHOPA
S8SHOPA
S9SHOPA
S10SHOPA
S11SHOPA
12236
11210
12484
11343
10327
13226
12307
0.07
0.07
0.07
0.08
0.07
0.07
0.08
0.25
0.25
0.25
0.26
0.26
0.26
0.27
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2MEALSA
R3MEALSA
R4MEALSA
R5MEALSA
R6MEALSA
R7MEALSA
R8MEALSA
R9MEALSA
R10MEALSA
R11MEALSA
7785
16981
20244
18466
17115
19063
17612
16449
21329
20023
0.10
0.07
0.07
0.08
0.08
0.08
0.08
0.08
0.08
0.08
0.30
0.26
0.26
0.27
0.28
0.26
0.27
0.27
0.27
0.28
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2MEALSA
S3MEALSA
S4MEALSA
S5MEALSA
S6MEALSA
S7MEALSA
S8MEALSA
S9MEALSA
S10MEALSA
S11MEALSA
4010
11119
13127
11906
10880
12208
11160
10132
13084
12179
0.08
0.05
0.05
0.05
0.05
0.05
0.05
0.05
0.05
0.06
0.28
0.21
0.21
0.22
0.22
0.21
0.22
0.22
0.22
0.23
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Categorical Variable Codes
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2MAPA
18
8222
2
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.No
|
1.Yes
|
S2MAPA
12
4549
2
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.X=Dont do
|
0.No
|
1.Yes
|
R2CALCA
19
8222
3
346
10050
1002
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.No
|
1.Yes
|
S2CALCA
16
4549
3
5970
384
243
7807
670
Value----------------------|
R2PHONEA R3PHONEA R4PHONEA R5PHONEA R6PHONEA R7PHONEA R8PHONEA R9PHONEA
98
8949
2353
5970
384
54
7037
1634
R3MAPA
8
R4MAPA
18
R5MAPA
14
R6MAPA
18
R7MAPA
10
R8MAPA
15
R9MAPA
14
R10MAPA
31
R11MAPA
36
4
36
2521
12656
2766
6
28
2813
16175
2344
3
24
2749
14614
2175
7
2383
13596
2161
6
10
2570
15287
2246
3
7
2186
14013
2245
3
9
2097
13038
2056
6
135
1614
17338
2910
7
18
1483
16253
2757
S3MAPA
3
S4MAPA
6
S5MAPA
5
S6MAPA
10
S7MAPA
4
S8MAPA
7
S9MAPA
7
S10MAPA
8
S11MAPA
17
2
11
5658
418
1064
9224
1611
1
7
6869
537
1229
11466
1269
1
5
6538
311
1226
10334
1159
3
6306
220
958
9533
1135
4
1
6777
380
1074
10712
1177
3
1
6417
317
925
9673
1126
1
2
6206
365
775
8835
1026
3
81
7795
722
607
11364
1454
2
4
7473
591
548
10568
1351
R10PHONEA R11PHONEA
Section B: Health
.D=DK/NA
.M=Oth missing
.R=RF
.S=Skip
.X=Dont do
0.No
1.Yes
341
|
|
|
|
|
|
|
3
1
3
49
18862
724
1
4
2
1
4
3
5
3
6
3
36
103
16925
923
3
28
115
20118
1116
2
24
125
18419
1007
7
97
17019
1041
6
10
107
18978
1024
2
7
83
17372
1002
1
9
91
16137
974
4
135
57
20574
1261
1
18
59
19292
1178
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.No
|
1.Yes
|
S2PHONEA S3PHONEA S4PHONEA
1
1
3
2
11
7
5970
5658
6869
584
418
537
25
53
62
12653
11389
13355
406
460
553
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2MONEYA
5
4
4
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.No
|
1.Yes
|
S2MONEYA S3MONEYA S4MONEYA
4
1
2
1
3
2
11
7
5970
5658
6869
584
418
537
557
452
486
11841
10938
12906
681
511
578
S5MONEYA S6MONEYA S7MONEYA S8MONEYA S9MONEYA
2
2
1
1
1
S10MONEYA S11MONEYA
5
2
1
6
6538
311
504
11700
517
3
3
6306
220
464
10667
500
4
1
6777
380
583
11840
543
2
1
6417
317
554
10666
511
2
2
6206
365
483
9692
466
4
81
7795
722
461
12171
795
4
7473
591
382
11410
692
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
.Z=Dont do/No if did
|
0.No
|
1.Yes
|
R2MEDSA
4
1
2
765
17539
1325
R3MONEYA
1
1
3
36
537
16166
1247
S5PHONEA S6PHONEA S7PHONEA S8PHONEA S9PHONEA
1
4
S10PHONEA S11PHONEA
3
2
1
5
6538
311
71
12192
461
2
81
7795
722
27
12853
551
3
6306
220
44
11141
451
4
1
6777
380
54
12477
435
1
1
6417
317
47
11243
443
1
2
6206
365
48
10189
402
4
7473
591
30
11963
491
R4MONEYA R5MONEYA R6MONEYA R7MONEYA R8MONEYA R9MONEYA
3
4
3
4
3
3
R10MONEYA R11MONEYA
9
9
4
28
619
19305
1425
10
135
590
19379
1911
2
25
617
17562
1369
3
7
580
16196
1376
8
10
734
17980
1393
3
7
698
16377
1381
2
9
630
15225
1348
4
18
499
18323
1701
R3MEDSA
1
R4MEDSA
6
R5MEDSA
2
R6MEDSA
6
R7MEDSA
6
R8MEDSA
2
R9MEDSA
R10MEDSA
3
R11MEDSA
7
218
4
36
1243
18674
743
16009
698
4
28
36
1278
19211
821
2
24
24
1005
17733
789
7
7
376
16962
807
4
36
14
387
18829
853
3
7
9
251
17322
875
1
9
9
195
16149
854
6
135
30
268
20552
1040
3
18
16
235
19282
993
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
.Z=Dont do/No if did
|
0.No
|
1.Yes
|
S2MEDSA
4
1
2
S3MEDSA
S4MEDSA
3
S5MEDSA
S6MEDSA
S7MEDSA
2
S8MEDSA
S9MEDSA
S10MEDSA
S11MEDSA
3
1
5
6538
311
13
672
11701
338
3
6306
220
3
222
11077
334
2
10
6777
380
9
217
12370
362
2
1
6417
317
6
142
11212
372
1
2
6206
365
5
97
10197
344
3
81
7795
722
17
147
12825
444
4
7473
591
4
136
11933
410
5970
584
113
2
11
5658
418
837
12549
419
10738
327
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2SHOPA
1
1
11420
R3SHOPA
2
R4SHOPA
R5SHOPA
2
R6SHOPA
1
R7SHOPA
4
R8SHOPA
1
R9SHOPA
1
R10SHOPA
6
R11SHOPA
10
3
36
638
15421
1891
6
28
724
18465
2161
2
24
724
16827
2000
7
650
15568
1939
6
45
685
17375
2014
3
7
595
15820
2043
1
9
524
14828
1854
6
135
373
19170
2344
6
18
311
17917
2292
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.No
|
S2SHOPA
1
1
9123
S3SHOPA
S4SHOPA
S5SHOPA
S6SHOPA
1
S7SHOPA
2
S8SHOPA
S9SHOPA
1
S10SHOPA
3
S11SHOPA
6
2
11
5658
418
465
10630
1
7
6869
537
482
12565
1
5
6538
311
488
11385
3
6306
220
425
10457
4
10
6777
380
472
11663
2
1
6417
317
389
10487
1
2
6206
365
315
9602
2
81
7795
722
205
12252
2
4
7473
591
171
11362
228
6535
1457
5970
200
138
3662
7
6869
537
23
831
12730
384
Section B: Health
1.Yes
342
|
547
807
923
851
753
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2MEALSA R3MEALSA
1
1
11420
1
3
36
435
970
7018
15739
767
1242
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.No
|
1.Yes
|
S2MEALSA S3MEALSA S4MEALSA S5MEALSA S6MEALSA
2
1
9123
2
1
11
7
5
3
5970
5658
6869
6538
6306
200
418
537
311
220
338
783
844
818
754
3676
10591
12505
11309
10343
334
528
622
597
537
821
856
725
974
945
R4MEALSA R5MEALSA R6MEALSA R7MEALSA R8MEALSA R9MEALSA
1
3
3
2
2
R10MEALSA R11MEALSA
6
8
5
28
1106
18781
1463
6
135
558
19648
1681
3
24
1083
17034
1432
7
1040
15689
1426
5
10
1049
17625
1438
3
7
847
16216
1396
1
9
756
15095
1354
5
18
500
18341
1682
S7MEALSA S8MEALSA S9MEALSA
1
S10MEALSA S11MEALSA
2
5
3
1
6777
380
759
11639
569
3
81
7795
722
347
12397
687
2
1
6417
317
572
10577
583
1
2
6206
365
511
9637
495
1
4
7473
591
301
11491
688
How Constructed:
Each wave has a series of questions about limits on instrumental activities of daily living (IADLs), but
the specific activities, the question wording, and possible answers vary across waves. These variables
recode the raw variables for difficulty with instrumental activities of daily living (IADLs) as yes/no
dummy variables, where 1 means some difficulty and 0 means not. Some measures described here are not
normally used as IADLs but are included with them because they seemed to serve a similar measurement
function in Wave 1. The measures described here are using the phone (RwPHONEA), taking medications
(RwMEDSA), managing money (RwMONEYA), shopping for groceries (RwSHOPA), preparing meals (RwMEALSA), using
a map (RwMAPA), and using a calculator (RwCALCA). In the following, references to Rw[iadl]A apply to all
these variables.
Respondents are asked about different IADL activities in Waves 1 and 2 then in the rest of the waves.
Wave 1 asks about using a map, a calculator, a microwave, and a computer, but not about preparing meals,
shopping for groceries, using the phone, taking medications, or managing money, which are activities
normally considered IADLs. From Wave 2 forward, the questions about using a microwave or a computer are
dropped, but using the phone, taking medications, and managing money are added. In Wave 2A and from Wave
3 forward, the questions about using a calculator are not asked, but shopping for groceries and preparing
meals are added. Using a map is asked in all waves except Wave 2A. From Wave 3 forward, the set of
IADLs is consistent and includes using the phone, taking medications, managing money, shopping for
groceries, preparing meals, and using a map.
We attempt to make consistent variables across waves. Because of significant differences in question
wording in Wave 1, we do not include these variables for this interview year. There are other cross wave
differences in the way HRS presented these questions in Wave 2H and 2A and the later waves, that may
introduce measurement errors in these variables. For example, in Wave 2H, "don't do" is not presented as
an option in the instrument, and there are noticeably fewer "don't do" answers in this wave. Also "can't
do" is not allowed as an answer in Wave 2H. In Wave 2A, the questions are based on whether the IADL can
be done without help, and not specifically whether the respondent has difficulty with it. In addition
there is a slight difference in the question wording for using a map and a difference in the questions
for taking any medications between Wave 3 and later waves. The questions and hence the consistency is
much better beginning in Wave 4.
The variable derivations for some difficulty with IADLs(Rw[iadl]A) vary across waves because the question
and responses can vary across waves. In all waves, a don't know or refuse answer to the first question
is set to .D or .R, respectively. Generally a 1 indicates some difficulty, 0 indicates no difficulty or
can't do, and "don't do" is set to special missing code .X, since the respondent hasn't revealed whether
he/she would have difficulty with the activity if he/she ever did it.
In Wave 2H, if a respondent answers "yes" to the first question ("Do you have any difficulty with ...")
R2[iadl]A is set to 1 for some difficulty, regardless of how much difficulty the respondent says he/she
has in the follow-up question. The questions about shopping and preparing meals were not asked in this
wave, so R2SHOPA and R2MEALSA are set to .Q for HRS respondents in Wave 2.
Section B: Health
343
In Wave 2A, the questions ask if the respondent is able to do an activity without help. If the respondent
says s/he doesn’t do the activity then a question asks if this is because of a health problem. Another
question about difficulty groups shopping, preparing meals, taking medications, and using the phone
together in one question. Because it is impossible to separate answers for specific IADLs, we don't use
this question. So if the answer to the first question about doing an activity without help is no,
R2[iadl]A is set to 1, for some difficulty, and if the answer is yes, i.e., able to do without help,
R2[iadl]A is set to 0, for no difficulty. If the answer is "don’t do" and it is because of a health
problem, we set R2[iadl]A to 1 for some difficulty. Otherwise a "don’t do" response is set to .X.
For managing money in Wave 2A, "don’t do" is not a possible answer, but those who respond "no" to the
first question are asked if it is because of a health problem. In this case, if the respondent is unable
to manage money because of a health problem, R2MONEYA is set to 1 for some difficulty. If unable to
manage money, but not because of a health problem, R2MONEYA is set to .X for don’t do. If the respondent
is able to manage money without help, then R2MONEYA is set to 0 for no difficulty. In Wave 2A, questions
about using a map and using a calculator are not asked so R2MAPA and R2CALCA are set to .Q for Ahead
respondents in Wave 2.
From Wave 3 forward for using a map, if a respondent answers "yes" or "can't do" to a question asking if
s/he has any difficulty, Rw[iadl]A is set to 1 for some difficulty. If the answer is "no", Rw[iadl]A is
set to 0, and if the answer is "don’t do", Rw[iadl]A is set to .X.
For taking medications, the questions are different in Wave 3 than for later waves. In Wave 3, if the
answer to the first question about any difficulty is no or yes, then R3MEDSA is set to 0 for no
difficulty or 1 for some difficulty, respectively. If the answer is "can’t do" and it is because of a
health problem, then R3MEDSA is set to 1 for some difficulty. If it isn’t because of a health problem or
if the answer to the first question is "don’t take medications", then R3MEDSA is set to .X. From Wave 4
forward, the coding is done in the same way as in Wave 3, except if the respondent says "don’t do" to the
first question. In this case, another question asks if s/he thinks s/he would have difficulty if s/he
did take medications. If the answer to this question is yes, and it is because of a health problem then
RwMEDSA is set to 1 for some difficulty. If the answer to this question is "no", then RwMEDSA is set to
.Z, for "don’t do, but wouldn’t have difficulty if did". Otherwise RwMEDSA is set to .X.
For other IADLs from Wave 3 forward, if a respondent answers "no" or "yes" to a question asking if s/he
has any difficulty, Rw[iadl]A is set to 0 for no difficulty or 1 for some difficulty, respectively. If
the answer is "can’t do" or "don’t do" and it is because of a health problem, Rw[iadl]A is set to 1 for
some difficulty. Otherwise, Rw[iadl]A is set to .X.
The spouse variables are taken from the spouse's self-reported Wave 'w' data. If R is not married,
spouse variables are set to .U=unmarried. If R's spouse did not respond then the variables are set to
.V=Spouse is non-response.
Some of the Rw[iadl]A variables are used to construct an IADL summary index.
Please see "IADL Summary".
Another version of these variables simply recodes the raw HRS variables. Please see "Instrumental
Activities of Daily Living (IADLs): Raw recodes" for a description of this version.
A third version of these variables is derived for Wave 1 only (R1[iadl]W). They code a yes/no dummy that
indicates "any difficulty" in a manner used by Wallace and Herzog in their paper. These are provided for
comparison to the results found in that paper. Please see "IADLs: Recodes for comparison to Wallace and
Herzog" for a description of the R1MAPW, R1CALCW, R1MCWVW, and R1COMPW variables. Note that the Wallace
and Herzog variables result in more limitation than the 0/1 recodes done in other waves (Rw[iadl]A)
solely due to measurement differences in the raw data. The R1[iadl]W variables are not appropriate for
comparison to the Rw[iadl]A variables in other waves.
Cross Wave Differences in Original HRS Data
Each wave has a series of questions about limits on instrumental activities of daily living (IADLs), but
the specific activities, the question wording, and possible answers vary across waves. Some measures
described here are not normally used as IADLs but are included with them because they seemed to serve a
similar measurement function in Wave 1. The IADL measures described here are using the phone (RwPHONE),
taking medications (RwMEDS), managing money (RwMONEY), shopping for groceries (RwSHOP), preparing meals
(RwMEALS), using a map (RwMAP), using a calculator (RwCALC), using a microwave (R1MCWV), and using a
computer (R1COMP).
Section B: Health
344
Respondents are asked about different IADL activities in Waves 1 and 2 then in the rest of the waves.
Wave 1 asks about using a map, a calculator, a microwave, and a computer, but not about preparing meals,
shopping for groceries, using the phone, taking medications, or managing money, which are activities
normally considered IADLs. From Wave 2 forward, the questions about using a microwave or a computer are
dropped, but using the phone, taking medications, and managing money are added. In Wave 2A and from Wave
3 forward, the questions about using a calculator are not asked, but shopping for groceries and preparing
meals are added. Using a map is asked in all waves except Wave 2A. From Wave 3 forward, the set of
IADLs is consistent and includes using the phone, taking medications, managing money, shopping for
groceries, preparing meals, and using a map.
The question wording and answers also varied across waves. The Wave 1 questions ask:
Here are some other activities that people may have difficulty with. How difficult is it for you to
[...]?
The respondent can answer not at all difficult, a little difficult, somewhat difficult, very
difficult/can't do, or don't do. The answers translate into 4 codes from 1 for not at all difficult to 4
for very difficult/can't do. Another code is used for the "Don't do" response. The specific wording for
the IADLs is: use a map to figure out how to get around a strange place, use a microwave oven after
reading the instructions, use a calculator to help balance your checkbook, and use a computer or word
processor.
In Wave 2H the question wording is similar to that in Wave 1 but is asked in 2 parts:
1) Here are some other activities that people may have difficulty with.
...? Respondent can answer yes or no.
Do you have any difficulty with
2) [IF YES] Is that a little difficulty or a lot of difficulty?
In the data the answers to the 2-part question are recoded into 5-categories: 1=yes, a little difficult;
2=yes, a lot; 3=yes, DK; 4=yes, RF; 5=No; 6=doesn't do. Note that there is no "Can't do" category and
that "Don't do" is not an option in the instrument. The "Doesn't do" category is likely the result of
post-interview interpretation of interview comments so are observed less frequently than in other waves,
simply because of questionnaire differences. This difference is considerable among the IADLs. The
specific wording for the IADLs is: using a map to figure out how to get around a strange place, using a
calculator to help balance your checkbook, managing your money, making telephone calls, and following
instructions for taking prescription medications.
In Wave 2A, the questions are asked differently for managing money and for other IADLs.
prefaced with the following:
The section is
Here are a few other daily activities which some people have difficulty with. Please tell me whether you
are able to do each activity without help from anyone else. If you don't do the activity at all, just
tell me so.
Except for managing money, the IADL questions ask:
Are you able to .. without help? [IF DON’T DO] Is that because of a health problem?
If the respondent reports being able to do any one of these activities without help, a question asks:
Without help do you have any difficulty with [list of all applicable IADLs]? [IF YES] is that a little or
a lot of difficulty?
The specific wording for these activities is: prepare(ing) hot meals, shop(ping) for groceries, make(ing)
telephone calls and take(ing) medications.
For managing money the Wave 2A questions ask:
1) Do you manage your money-such as paying your bills and keeping track of expenses, without anyone's
help?
Section B: Health
345
2) [IF NO] Is that because of a health or memory condition?
3) [IF YES, DK, or RF to Q1, or YES to Q2] Do you have any difficulty managing your money (when someone
is helping you/without help)?
4) [IF YES to Q3] Is that a little or a lot of difficulty?
From Wave 3 forward, the question wording is again similar to that in Wave 1 but prefaced with additional
text. The question asks:
Here are a few other activities which some people have difficulty with because of a physical, mental,
emotional, or memory problem. Please tell me if you have any difficulty with each activity I name. If
you don't do the activity at all, just tell me so. Exclude any difficulties you expect to last less than
three months.
For using a map the question in Wave 3 is: Do you have any difficulty using a map to figure out how to
get around in a strange place? From Wave 4 forward, this is prefaced with “Because of a health or memory
problem....” Responses may be yes, no, can’t do, or don’t do.
For other IADLs, a series of questions may be asked:
1) Because of a health or memory problem do you have any difficulty with ...? The respondent can answer
yes, no, "can't do", or "don't do". In Wave 3, for taking medications, the wording for "don't do" is
"don't take medications".
2) From Wave 4 forward for taking medications [If DON’T DO to Q1] Do you think you would have any
difficulty taking medications if you needed to do so?
3) [If YES, DK, or RF to Q2 for taking medications from Wave 4 forward; CAN’T DO to Q1 for taking
medications in Wave 3; or CAN’T DO or DON’T DO to Q1 for all other activities] Is that because of a
health or memory problem? The respondent can answer yes or no. In Wave 3A, this question is also asked
if the response to Q1 is don’t know or refuse. In Wave 3A and 3H, this question is skipped for a "don't
take medications" response. From Wave 4 forward, whether the question is asked depends on the answer to
Q2 for taking medications if Q1 had a "don't do" response.
4) [If YES, DK, or RF to Q1 or Q3] Does anyone help you ...? The respondent can answer yes or no. In
Wave 3, this question is not asked for managing money when the Q1 response is DK or RF. From Wave 4
forward this question is not asked if R is living in a nursing home. In Wave 7, a mistake in the Spanish
instrument allowed "can't do" and "don't do" responses for the help questions, and a few of these
responses are given for all of the IADLs except help with medications and money.
The specific wording for these activities is: prepare(ing) a hot meal, shop(ping) for groceries,
make(ing) phone calls, take(ing) medications, and manage(ing) your money -- such as paying your bills and
keeping track of expenses.
HRS Variables Used
AHEAD 1993:
B903A1
B903A2
B903A3
B903A4
B904A1
B904A2
B904A3
B904A4
B948
B949
HRS 1994:
W323
W324
W325
W326
E52. IADL W/OUT HELP-PREPARE HOT MEAL
E52. IADL W/OUT HELP-SHOP FOR GROCERIES
E52. IADL W/OUT HELP-MAKE PHONE CALLS
E52. IADL W/OUT HELP-TAKE MEDICATIONS
E52a. IADL WHY DONT-PREPARE HOT MEALS
E52a. IADL WHY DONT-SHOP FOR GROCERIES
E52a. IADL WHY DONT-MAKE PHONE CALLS
E52a. IADL WHY DONT-TAKE MEDICATIONS
E57. IADL MONEY
E57a. MONEY WHY CANT
B5.USING A MAP
B5a.USING A CALCULATOR
B5b.MANAGING MONEY
B5c.MAKING TELEPHONE CAL
Section B: Health
W327
AHEAD 1995:
D2012
D2021
D2023
D2026
D2028
D2031
D2033
D2036
D2038
D2099
D2100
HRS 1996:
E2027
E2036
E2038
E2041
E2043
E2046
E2048
E2051
E2053
E2093
E2094
HRS 1998:
F2553
F2562
F2564
F2567
F2569
F2572
F2574
F2577
F2578
F2579
F2618
F2619
HRS 2000:
G2851
G2860
G2862
G2865
G2867
G2870
G2872
G2875
G2876
G2877
G2916
G2917
HRS 2002:
HG040
HG041
HG042
HG044
HG045
HG047
HG048
HG050
HG051
HG052
HG059
346
B5d.TAKING PRESCRIPTION
E93.MAPS
E95.IADL MEALS DIFF
E95B.MEALS -WHY DONT
E96.IADL GROC DIFF
E96B.GROC -WHY DONT
E97.IADLS PHONE DIFF
E97B.PHONE -WHY DONT
E98.IADLS MEDICATION DIFF
E98B.MED-WHY DONT
E106.IADL MONEY DIFF
E106A.MONEY HEALTH PROBLEM
E93.MAPS
E95.IADL MEALS DIFF
E95B.MEALS -WHY DONT
E96.IADL GROC DIFF
E96B.GROC -WHY DONT
E97.IADLS PHONE DIFF
E97B.PHONE -WHY DONT
E98.IADLS MEDICATION DIFF
E98B.MED-WHY DONT
E106.IADL MONEY DIFF
E106A.MONEY HEALTH PROBLEM
E93.MAPS
E95.IADL MEALS DIFF
E95B.MEALS -WHY DONT
E96.IADL GROC DIFF
E96B.GROC -WHY DONT
E97.IADLS PHONE DIFF
E97B.PHONE -WHY DONT
E98.IADLS MEDICATION DIFF
E98A
E98B.MED-WHY DONT
E106.IADL MONEY DIFF
E106A.MONEY HEALTH PROBLEM
E93.MAPS
E95.IADL MEALS DIFF
E95B.MEALS -WHY DONT
E96.IADL GROC DIFF
E96B.GROC -WHY DONT
E97.IADLS PHONE DIFF
E97B.PHONE -WHY DONT
E98.IADLS MEDICATION DIFF
E98A.IADLS MED IF NEEDED DIFF
E98B.MED-WHY DONT
E106.IADL MONEY DIFF
E106A.MONEY HEALTH PROBLEM
DIFFICULTY- USING MAPS
IADL MEAL PREPARATION DIFFICULTY
WHY- MEAL PREPARATION DIFFICULTY
IADL GROC SHOP DIFFICULTY
WHY- GROC SHOP DIFFICULTY
IADL MAKING PHONE CALLS DIFFICULTY
WHY- MAKING PHONE CALLS DIFFICULTY
IADL TAKING MEDICATION DIFFICULTY
IADL TAKING MEDS IF NEEDED DIFFICULTY
WHY- TAKING MEDICATIONS DIFFICULTY
IADL MANAGING MONEY DIFFICULTY
Section B: Health
HG060
HRS 2004:
JG040
JG041
JG042
JG044
JG045
JG047
JG048
JG050
JG051
JG052
JG059
JG060
HRS 2006:
KG040
KG041
KG042
KG044
KG045
KG047
KG048
KG050
KG051
KG052
KG059
KG060
HRS 2008:
LG040
LG041
LG042
LG044
LG045
LG047
LG048
LG050
LG051
LG052
LG059
LG060
HRS 2010:
MG040
MG041
MG042
MG044
MG045
MG047
MG048
MG050
MG051
MG052
MG059
MG060
HRS 2012:
NG040
NG041
NG042
NG044
NG045
NG047
NG048
NG050
NG051
347
WHY- MANAGING MONEY DIFFICULTY
DIFFICULTY- USING MAPS
IADL MEAL PREPARATION DIFFICULTY
WHY- MEAL PREPARATION DIFFICULTY
IADL GROC SHOP DIFFICULTY
WHY- GROC SHOP DIFFICULTY
IADL MAKING PHONE CALLS DIFFICULTY
WHY- MAKING PHONE CALLS DIFFICULTY
IADL TAKING MEDICATION DIFFICULTY
IADL TAKING MEDS IF NEEDED DIFFICULTY
WHY- TAKING MEDICATIONS DIFFICULTY
IADL MANAGING MONEY DIFFICULTY
WHY- MANAGING MONEY DIFFICULTY
DIFFICULTY- USING MAPS
IADL MEAL PREPARATION DIFFICULTY
WHY- MEAL PREPARATION DIFFICULTY
IADL GROC SHOP DIFFICULTY
WHY- GROC SHOP DIFFICULTY
IADL MAKING PHONE CALLS DIFFICULTY
WHY- MAKING PHONE CALLS DIFFICULTY
IADL TAKING MEDICATION DIFFICULTY
IADL TAKING MEDS IF NEEDED DIFFICULTY
WHY- TAKING MEDICATIONS DIFFICULTY
IADL MANAGING MONEY DIFFICULTY
WHY- MANAGING MONEY DIFFICULTY
DIFFICULTY- USING MAPS
IADL MEAL PREPARATION DIFFICULTY
WHY- MEAL PREPARATION DIFFICULTY
IADL GROC SHOP DIFFICULTY
WHY- GROC SHOP DIFFICULTY
IADL MAKING PHONE CALLS DIFFICULTY
WHY- MAKING PHONE CALLS DIFFICULTY
IADL TAKING MEDICATION DIFFICULTY
IADL TAKING MEDS IF NEEDED DIFFICULTY
WHY- TAKING MEDICATIONS DIFFICULTY
IADL MANAGING MONEY DIFFICULTY
WHY- MANAGING MONEY DIFFICULTY
DIFFICULTY- USING MAPS
IADL MEAL PREPARATION DIFFICULTY
WHY- MEAL PREPARATION DIFFICULTY
IADL GROC SHOP DIFFICULTY
WHY- GROC SHOP DIFFICULTY
IADL MAKING PHONE CALLS DIFFICULTY
WHY- MAKING PHONE CALLS DIFFICULTY
IADL TAKING MEDICATION DIFFICULTY
IADL TAKING MEDS IF NEEDED DIFFICULTY
WHY- TAKING MEDICATIONS DIFFICULTY
IADL MANAGING MONEY DIFFICULTY
WHY- MANAGING MONEY DIFFICULTY
DIFFICULTY- USING MAPS
IADL MEAL PREPARATION DIFFICULTY
WHY- MEAL PREPARATION DIFFICULTY
IADL GROC SHOP DIFFICULTY
WHY- GROC SHOP DIFFICULTY
IADL MAKING PHONE CALLS DIFFICULTY
WHY- MAKING PHONE CALLS DIFFICULTY
IADL TAKING MEDICATION DIFFICULTY
IADL TAKING MEDS IF NEEDED DIFFICULTY
Section B: Health
NG052
NG059
NG060
348
WHY- TAKING MEDICATIONS DIFFICULTY
IADL MANAGING MONEY DIFFICULTY
WHY- MANAGING MONEY DIFFICULTY
Section B: Health
349
Instrumental activities of daily living (IADLs): Recodes for comparison to Wallace and Herzog
Wave
Variable
Label
Type
1
R1MAPW
R1MAPW:W1 R Any Diff-Use a map
Categ
1
S1MAPW
S1MAPW:W1 S Any Diff-Use a map
Categ
1
R1CALCW
R1CALCW:W1 R Any Diff-Use a calculator
Categ
1
S1CALCW
S1CALCW:W1 S Any Diff-Use a calculator
Categ
1
R1MCWVW
R1MCWVW:W1 R Any Diff-Use a microwave
Categ
1
S1MCWVW
S1MCWVW:W1 S Any Diff-Use a microwave
Categ
1
R1COMPW
R1COMPW:W1 R Any Diff-Use a computer
Categ
1
S1COMPW
S1COMPW:W1 S Any Diff-Use a computer
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1MAPW
12188
0.33
0.47
0.0
1.0
S1MAPW
9620
0.31
0.46
0.0
1.0
R1CALCW
11254
0.11
0.32
0.0
1.0
S1CALCW
8923
0.11
0.31
0.0
1.0
R1MCWVW
12095
0.11
0.31
0.0
1.0
S1MCWVW
9562
0.10
0.31
0.0
1.0
R1COMPW
7334
0.45
0.50
0.0
1.0
S1COMPW
5821
0.45
0.50
0.0
1.0
Categorical Variable Codes
Value----------------------|R1MAPW
.X=Dont do
|464
0.No
|8225
1.Yes
|3963
Value----------------------|S1MAPW
.U=Unmar
|2373
.V=Sp NR
|379
.X=Dont do
|280
0.No
|6644
1.Yes
|2976
Value----------------------|R1CALCW
.X=Dont do
|1398
0.No
|9979
1.Yes
|1275
Value----------------------|S1CALCW
.U=Unmar
|2373
.V=Sp NR
|379
.X=Dont do
|977
0.No
|7973
1.Yes
|950
Section B: Health
350
Value----------------------|R1MCWVW
.X=Dont do
|557
0.No
|10797
1.Yes
|1298
Value----------------------|S1MCWVW
.U=Unmar
|2373
.V=Sp NR
|379
.X=Dont do
|338
0.No
|8560
1.Yes
|1002
Value----------------------|R1COMPW
.X=Dont do
|5318
0.No
|4059
1.Yes
|3275
Value----------------------|S1COMPW
.U=Unmar
|2373
.V=Sp NR
|379
.X=Dont do
|4079
0.No
|3218
1.Yes
|2603
How Constructed:
These IADL variables are derived for Wave 1 only. They code a yes/no dummy that indicates "any
difficulty" in a manner used by Wallace and Herzog in their paper (Wallace and Herzog, 1995). These
variables are provided for comparison to the results found in that paper.
Wallace and Herzog recode the IADL variables to 1 for "any difficulty" if the respondent answered "a
little difficult", "somewhat difficult" or "very difficult/can't do". A response of "not difficult at
all" is recoded to zero. This recoding scheme is applied for these variables to attempt to replicate the
results reported in their paper.
The spouse variables are taken from the spouse's self-reported Wave 1 data. If R is not married, spouse
variables are set to .U=unmarried. If R's spouse did not respond then the variables are set to .V=Spouse
is non-response.
There are several other versions of these variables. One version simply recodes the raw HRS variables.
Please see the descriptions of these (RwMAP, RwCALC, R1MCWV, R1COMP) under "Instrumental Activities of
Daily Living (IADLs): Raw recodes".
Another version recodes a yes/no dummy variable in waves other than Wave 1, but these are not comparable
with the Wallace and Herzog recodes. Please see the descriptions of these (RwMAPA, RwCALCA, R1MCWVA,
R1COMPA) under "Instrumental Activities of Daily Living (IADLs): Some difficulty".
Some of the Wallace and Herzog indices are also derived and include some of these measures in creating
functional limitation indices, including an IADL summary index for Wave 1. Please see "IADL Summary".
Cross Wave Differences in Original HRS Data
Each wave has a series of questions about limits on instrumental activities of daily living (IADLs), but
the specific activities, the question wording, and possible answers vary across waves.
Wave 1 asks about using a map, a calculator, a microwave, and a computer, but not about preparing meals,
shopping for groceries, using the phone, taking medications, or managing money. From Wave 2 forward, the
questions about using a microwave or a computer are dropped, but using the phone, taking medications, and
managing money are added. From Wave 2A and Wave 3 forward, the questions about using a calculator are no
longer asked, but using shopping for groceries and preparing meals are added. Please note that only
using a map is consistently asked in all waves, except Wave 2A.
The question wording and answers also varied across waves. The Wave 1 questions ask:
Here are some other activities that people may have difficulty with. How difficult is it for you to
[...]?
Section B: Health
351
The respondent can answer not at all difficult, a little difficult, somewhat difficult, very
difficult/can't do, or don't do. The answers translate into 4 codes from 1 for not at all difficult to 4
for very difficult/can't do. Another code is used for the "Don't do" response.
The wording for the map activity is "use a map to figure out how to get around a strange place". The
wording for the calculator activity is "use a calculator to help balance your checkbook". The wording
for the microwave activity is "use a microwave oven after reading the instructions". The wording for the
computer activity is "use a computer or wordprocessor".
In subsequent waves, there is a question that simply asks if the respondent has any difficulty with a
particular activity. The question wording and possible answers are sufficiently different that the
levels of Wave 1 codes cannot be derived from the data.
HRS Variables Used
HRS 1992:
V321
V322
V323
V324
B5A:USE
B5B:USE
B5C:USE
B5D:USE
MAP, STRNG P:IMP
MCRWV W/ INS:IMP
CALCULATOR :IMP
COMPUTER
:IMP
Section B: Health
352
Other Functional Limitations: Raw recodes
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1WALKS
R2WALKS
R3WALKS
R4WALKS
R5WALKS
R6WALKS
R7WALKS
R8WALKS
R9WALKS
R10WALKS
R11WALKS
R1WALKS:W1 R
R2WALKS:W2 R
R3WALKS:W3 R
R4WALKS:W4 R
R5WALKS:W5 R
R6WALKS:W6 R
R7WALKS:W7 R
R8WALKS:W8 R
R9WALKS:W9 R
R10WALKS:W10
R11WALKS:W11
Diff-Walk sev blocks
Diff-Walk sev blocks
Diff-Walk sev blocks
Diff-Walk sev blocks
Diff-Walk sev blocks
Diff-Walk sev blocks
Diff-Walk sev blocks
Diff-Walk sev blocks
Diff-Walk sev blocks
R Diff-Walk sev blocks
R Diff-Walk sev blocks
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1WALKS
S2WALKS
S3WALKS
S4WALKS
S5WALKS
S6WALKS
S7WALKS
S8WALKS
S9WALKS
S10WALKS
S11WALKS
S1WALKS:W1 S
S2WALKS:W2 S
S3WALKS:W3 S
S4WALKS:W4 S
S5WALKS:W5 S
S6WALKS:W6 S
S7WALKS:W7 S
S8WALKS:W8 S
S9WALKS:W9 S
S10WALKS:W10
S11WALKS:W11
Diff-Walk sev blocks
Diff-Walk sev blocks
Diff-Walk sev blocks
Diff-Walk sev blocks
Diff-Walk sev blocks
Diff-Walk sev blocks
Diff-Walk sev blocks
Diff-Walk sev blocks
Diff-Walk sev blocks
S Diff-Walk sev blocks
S Diff-Walk sev blocks
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
R1JOG
R2JOG
R3JOG
R4JOG
R5JOG
R6JOG
R7JOG
R8JOG
R9JOG
R10JOG
R11JOG
R1JOG:W1 R
R2JOG:W2 R
R3JOG:W3 R
R4JOG:W4 R
R5JOG:W5 R
R6JOG:W6 R
R7JOG:W7 R
R8JOG:W8 R
R9JOG:W9 R
R10JOG:W10
R11JOG:W11
Diff-Jog one mile
Diff-Jog one mile
Diff-Jog one mile
Diff-Jog one mile
Diff-Jog one mile
Diff-Jog one mile
Diff-Jog one mile
Diff-Jog one mile
Diff-Jog one mile
R Diff-Jog one mile
R Diff-Jog one mile
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1JOG
S2JOG
S3JOG
S4JOG
S5JOG
S6JOG
S7JOG
S8JOG
S9JOG
S10JOG
S11JOG
S1JOG:W1 S
S2JOG:W2 S
S3JOG:W3 S
S4JOG:W4 S
S5JOG:W5 S
S6JOG:W6 S
S7JOG:W7 S
S8JOG:W8 S
S9JOG:W9 S
S10JOG:W10
S11JOG:W11
Diff-Jog one mile
Diff-Jog one mile
Diff-Jog one mile
Diff-Jog one mile
Diff-Jog one mile
Diff-Jog one mile
Diff-Jog one mile
Diff-Jog one mile
Diff-Jog one mile
S Diff-Jog one mile
S Diff-Jog one mile
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
R1WALK1
R2WALK1
R3WALK1
R4WALK1
R5WALK1
R6WALK1
R7WALK1
R8WALK1
R9WALK1
R1WALK1:W1
R2WALK1:W2
R3WALK1:W3
R4WALK1:W4
R5WALK1:W5
R6WALK1:W6
R7WALK1:W7
R8WALK1:W8
R9WALK1:W9
R
R
R
R
R
R
R
R
R
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Diff-Walk
Diff-Walk
Diff-Walk
Diff-Walk
Diff-Walk
Diff-Walk
Diff-Walk
Diff-Walk
Diff-Walk
one
one
one
one
one
one
one
one
one
block
block
block
block
block
block
block
block
block
Section B: Health
353
10
11
R10WALK1
R11WALK1
R10WALK1:W10 R Diff-Walk one block
R11WALK1:W11 R Diff-Walk one block
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1WALK1
S2WALK1
S3WALK1
S4WALK1
S5WALK1
S6WALK1
S7WALK1
S8WALK1
S9WALK1
S10WALK1
S11WALK1
S1WALK1:W1 S
S2WALK1:W2 S
S3WALK1:W3 S
S4WALK1:W4 S
S5WALK1:W5 S
S6WALK1:W6 S
S7WALK1:W7 S
S8WALK1:W8 S
S9WALK1:W9 S
S10WALK1:W10
S11WALK1:W11
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
R1SIT
R2SIT
R3SIT
R4SIT
R5SIT
R6SIT
R7SIT
R8SIT
R9SIT
R10SIT
R11SIT
R1SIT:W1 R
R2SIT:W2 R
R3SIT:W3 R
R4SIT:W4 R
R5SIT:W5 R
R6SIT:W6 R
R7SIT:W7 R
R8SIT:W8 R
R9SIT:W9 R
R10SIT:W10
R11SIT:W11
Diff-Sit for 2
Diff-Sit for 2
Diff-Sit for 2
Diff-Sit for 2
Diff-Sit for 2
Diff-Sit for 2
Diff-Sit for 2
Diff-Sit for 2
Diff-Sit for 2
R Diff-Sit for
R Diff-Sit for
hours
hours
hours
hours
hours
hours
hours
hours
hours
2 hours
2 hours
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1SIT
S2SIT
S3SIT
S4SIT
S5SIT
S6SIT
S7SIT
S8SIT
S9SIT
S10SIT
S11SIT
S1SIT:W1 S
S2SIT:W2 S
S3SIT:W3 S
S4SIT:W4 S
S5SIT:W5 S
S6SIT:W6 S
S7SIT:W7 S
S8SIT:W8 S
S9SIT:W9 S
S10SIT:W10
S11SIT:W11
Diff-Sit for 2
Diff-Sit for 2
Diff-Sit for 2
Diff-Sit for 2
Diff-Sit for 2
Diff-Sit for 2
Diff-Sit for 2
Diff-Sit for 2
Diff-Sit for 2
S Diff-Sit for
S Diff-Sit for
hours
hours
hours
hours
hours
hours
hours
hours
hours
2 hours
2 hours
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
R1CHAIR
R2CHAIR
R3CHAIR
R4CHAIR
R5CHAIR
R6CHAIR
R7CHAIR
R8CHAIR
R9CHAIR
R10CHAIR
R11CHAIR
R1CHAIR:W1 R
R2CHAIR:W2 R
R3CHAIR:W3 R
R4CHAIR:W4 R
R5CHAIR:W5 R
R6CHAIR:W6 R
R7CHAIR:W7 R
R8CHAIR:W8 R
R9CHAIR:W9 R
R10CHAIR:W10
R11CHAIR:W11
Diff-Get up fr chair
Diff-Get up fr chair
Diff-Get up fr chair
Diff-Get up fr chair
Diff-Get up fr chair
Diff-Get up fr chair
Diff-Get up fr chair
Diff-Get up fr chair
Diff-Get up fr chair
R Diff-Get up fr chair
R Diff-Get up fr chair
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1CHAIR
S2CHAIR
S3CHAIR
S4CHAIR
S5CHAIR
S6CHAIR
S7CHAIR
S8CHAIR
S9CHAIR
S10CHAIR
S11CHAIR
S1CHAIR:W1 S
S2CHAIR:W2 S
S3CHAIR:W3 S
S4CHAIR:W4 S
S5CHAIR:W5 S
S6CHAIR:W6 S
S7CHAIR:W7 S
S8CHAIR:W8 S
S9CHAIR:W9 S
S10CHAIR:W10
S11CHAIR:W11
Diff-Get up fr chair
Diff-Get up fr chair
Diff-Get up fr chair
Diff-Get up fr chair
Diff-Get up fr chair
Diff-Get up fr chair
Diff-Get up fr chair
Diff-Get up fr chair
Diff-Get up fr chair
S Diff-Get up fr chair
S Diff-Get up fr chair
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Diff-Walk one block
Diff-Walk one block
Diff-Walk one block
Diff-Walk one block
Diff-Walk one block
Diff-Walk one block
Diff-Walk one block
Diff-Walk one block
Diff-Walk one block
S Diff-Walk one block
S Diff-Walk one block
Section B: Health
354
1
2
3
4
5
6
7
8
9
10
11
R1CLIMS
R2CLIMS
R3CLIMS
R4CLIMS
R5CLIMS
R6CLIMS
R7CLIMS
R8CLIMS
R9CLIMS
R10CLIMS
R11CLIMS
R1CLIMS:W1 R
R2CLIMS:W2 R
R3CLIMS:W3 R
R4CLIMS:W4 R
R5CLIMS:W5 R
R6CLIMS:W6 R
R7CLIMS:W7 R
R8CLIMS:W8 R
R9CLIMS:W9 R
R10CLIMS:W10
R11CLIMS:W11
Diff-Climb sev flt stair
Diff-Climb sev flt stair
Diff-Climb sev flt stair
Diff-Climb sev flt stair
Diff-Climb sev flt stair
Diff-Climb sev flt stair
Diff-Climb sev flt stair
Diff-Climb sev flt stair
Diff-Climb sev flt stair
R Diff-Climb sev flt stair
R Diff-Climb sev flt stair
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1CLIMS
S2CLIMS
S3CLIMS
S4CLIMS
S5CLIMS
S6CLIMS
S7CLIMS
S8CLIMS
S9CLIMS
S10CLIMS
S11CLIMS
S1CLIMS:W1 S
S2CLIMS:W2 S
S3CLIMS:W3 S
S4CLIMS:W4 S
S5CLIMS:W5 S
S6CLIMS:W6 S
S7CLIMS:W7 S
S8CLIMS:W8 S
S9CLIMS:W9 S
S10CLIMS:W10
S11CLIMS:W11
Diff-Climb sev flt stair
Diff-Climb sev flt stair
Diff-Climb sev flt stair
Diff-Climb sev flt stair
Diff-Climb sev flt stair
Diff-Climb sev flt stair
Diff-Climb sev flt stair
Diff-Climb sev flt stair
Diff-Climb sev flt stair
S Diff-Climb sev flt stair
S Diff-Climb sev flt stair
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
R1CLIM1
R2CLIM1
R3CLIM1
R4CLIM1
R5CLIM1
R6CLIM1
R7CLIM1
R8CLIM1
R9CLIM1
R10CLIM1
R11CLIM1
R1CLIM1:W1 R
R2CLIM1:W2 R
R3CLIM1:W3 R
R4CLIM1:W4 R
R5CLIM1:W5 R
R6CLIM1:W6 R
R7CLIM1:W7 R
R8CLIM1:W8 R
R9CLIM1:W9 R
R10CLIM1:W10
R11CLIM1:W11
Diff-Climb one flt stair
Diff-Climb one flt stair
Diff-Climb one flt stair
Diff-Climb one flt stair
Diff-Climb one flt stair
Diff-Climb one flt stair
Diff-Climb one flt stair
Diff-Climb one flt stair
Diff-Climb one flt stair
R Diff-Climb one flt stair
R Diff-Climb one flt stair
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1CLIM1
S2CLIM1
S3CLIM1
S4CLIM1
S5CLIM1
S6CLIM1
S7CLIM1
S8CLIM1
S9CLIM1
S10CLIM1
S11CLIM1
S1CLIM1:W1 S
S2CLIM1:W2 S
S3CLIM1:W3 S
S4CLIM1:W4 S
S5CLIM1:W5 S
S6CLIM1:W6 S
S7CLIM1:W7 S
S8CLIM1:W8 S
S9CLIM1:W9 S
S10CLIM1:W10
S11CLIM1:W11
Diff-Climb one flt stair
Diff-Climb one flt stair
Diff-Climb one flt stair
Diff-Climb one flt stair
Diff-Climb one flt stair
Diff-Climb one flt stair
Diff-Climb one flt stair
Diff-Climb one flt stair
Diff-Climb one flt stair
S Diff-Climb one flt stair
S Diff-Climb one flt stair
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
R1STOOP
R2STOOP
R3STOOP
R4STOOP
R5STOOP
R6STOOP
R7STOOP
R8STOOP
R9STOOP
R10STOOP
R11STOOP
R1STOOP:W1 R
R2STOOP:W2 R
R3STOOP:W3 R
R4STOOP:W4 R
R5STOOP:W5 R
R6STOOP:W6 R
R7STOOP:W7 R
R8STOOP:W8 R
R9STOOP:W9 R
R10STOOP:W10
R11STOOP:W11
Diff-Stoop/Kneel/Crouch
Diff-Stoop/Kneel/Crouch
Diff-Stoop/Kneel/Crouch
Diff-Stoop/Kneel/Crouch
Diff-Stoop/Kneel/Crouch
Diff-Stoop/Kneel/Crouch
Diff-Stoop/Kneel/Crouch
Diff-Stoop/Kneel/Crouch
Diff-Stoop/Kneel/Crouch
R Diff-Stoop/Kneel/Crouch
R Diff-Stoop/Kneel/Crouch
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
S1STOOP
S2STOOP
S3STOOP
S1STOOP:W1 S Diff-Stoop/Kneel/Crouch
S2STOOP:W2 S Diff-Stoop/Kneel/Crouch
S3STOOP:W3 S Diff-Stoop/Kneel/Crouch
Categ
Categ
Categ
Section B: Health
355
4
5
6
7
8
9
10
11
S4STOOP
S5STOOP
S6STOOP
S7STOOP
S8STOOP
S9STOOP
S10STOOP
S11STOOP
S4STOOP:W4 S
S5STOOP:W5 S
S6STOOP:W6 S
S7STOOP:W7 S
S8STOOP:W8 S
S9STOOP:W9 S
S10STOOP:W10
S11STOOP:W11
1
2
3
4
5
6
7
8
9
10
11
R1LIFT
R2LIFT
R3LIFT
R4LIFT
R5LIFT
R6LIFT
R7LIFT
R8LIFT
R9LIFT
R10LIFT
R11LIFT
R1LIFT:W1 R
R2LIFT:W2 R
R3LIFT:W3 R
R4LIFT:W4 R
R5LIFT:W5 R
R6LIFT:W6 R
R7LIFT:W7 R
R8LIFT:W8 R
R9LIFT:W9 R
R10LIFT:W10
R11LIFT:W11
Diff-Lift/carry 10lbs
Diff-Lift/carry 10lbs
Diff-Lift/carry 10lbs
Diff-Lift/carry 10lbs
Diff-Lift/carry 10lbs
Diff-Lift/carry 10lbs
Diff-Lift/carry 10lbs
Diff-Lift/carry 10lbs
Diff-Lift/carry 10lbs
R Diff-Lift/carry 10lbs
R Diff-Lift/carry 10lbs
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1LIFT
S2LIFT
S3LIFT
S4LIFT
S5LIFT
S6LIFT
S7LIFT
S8LIFT
S9LIFT
S10LIFT
S11LIFT
S1LIFT:W1 S
S2LIFT:W2 S
S3LIFT:W3 S
S4LIFT:W4 S
S5LIFT:W5 S
S6LIFT:W6 S
S7LIFT:W7 S
S8LIFT:W8 S
S9LIFT:W9 S
S10LIFT:W10
S11LIFT:W11
Diff-Lift/carry 10lbs
Diff-Lift/carry 10lbs
Diff-Lift/carry 10lbs
Diff-Lift/carry 10lbs
Diff-Lift/carry 10lbs
Diff-Lift/carry 10lbs
Diff-Lift/carry 10lbs
Diff-Lift/carry 10lbs
Diff-Lift/carry 10lbs
S Diff-Lift/carry 10lbs
S Diff-Lift/carry 10lbs
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
R1DIME
R2DIME
R3DIME
R4DIME
R5DIME
R6DIME
R7DIME
R8DIME
R9DIME
R10DIME
R11DIME
R1DIME:W1 R
R2DIME:W2 R
R3DIME:W3 R
R4DIME:W4 R
R5DIME:W5 R
R6DIME:W6 R
R7DIME:W7 R
R8DIME:W8 R
R9DIME:W9 R
R10DIME:W10
R11DIME:W11
Diff-Pick up a
Diff-Pick up a
Diff-Pick up a
Diff-Pick up a
Diff-Pick up a
Diff-Pick up a
Diff-Pick up a
Diff-Pick up a
Diff-Pick up a
R Diff-Pick up
R Diff-Pick up
dime
dime
dime
dime
dime
dime
dime
dime
dime
a dime
a dime
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1DIME
S2DIME
S3DIME
S4DIME
S5DIME
S6DIME
S7DIME
S8DIME
S9DIME
S10DIME
S11DIME
S1DIME:W1 S
S2DIME:W2 S
S3DIME:W3 S
S4DIME:W4 S
S5DIME:W5 S
S6DIME:W6 S
S7DIME:W7 S
S8DIME:W8 S
S9DIME:W9 S
S10DIME:W10
S11DIME:W11
Diff-Pick up a
Diff-Pick up a
Diff-Pick up a
Diff-Pick up a
Diff-Pick up a
Diff-Pick up a
Diff-Pick up a
Diff-Pick up a
Diff-Pick up a
S Diff-Pick up
S Diff-Pick up
dime
dime
dime
dime
dime
dime
dime
dime
dime
a dime
a dime
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
R1ARMS
R2ARMS
R3ARMS
R4ARMS
R5ARMS
R6ARMS
R1ARMS:W1
R2ARMS:W2
R3ARMS:W3
R4ARMS:W4
R5ARMS:W5
R6ARMS:W6
Diff-Reach/extnd
Diff-Reach/extnd
Diff-Reach/extnd
Diff-Reach/extnd
Diff-Reach/extnd
Diff-Reach/extnd
R
R
R
R
R
R
Diff-Stoop/Kneel/Crouch
Diff-Stoop/Kneel/Crouch
Diff-Stoop/Kneel/Crouch
Diff-Stoop/Kneel/Crouch
Diff-Stoop/Kneel/Crouch
Diff-Stoop/Kneel/Crouch
S Diff-Stoop/Kneel/Crouch
S Diff-Stoop/Kneel/Crouch
arms
arms
arms
arms
arms
arms
up
up
up
up
up
up
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Section B: Health
356
7
8
9
10
11
R7ARMS
R8ARMS
R9ARMS
R10ARMS
R11ARMS
R7ARMS:W7 R
R8ARMS:W8 R
R9ARMS:W9 R
R10ARMS:W10
R11ARMS:W11
Diff-Reach/extnd arms up
Diff-Reach/extnd arms up
Diff-Reach/extnd arms up
R Diff-Reach/extnd arms up
R Diff-Reach/extnd arms up
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1ARMS
S2ARMS
S3ARMS
S4ARMS
S5ARMS
S6ARMS
S7ARMS
S8ARMS
S9ARMS
S10ARMS
S11ARMS
S1ARMS:W1 S
S2ARMS:W2 S
S3ARMS:W3 S
S4ARMS:W4 S
S5ARMS:W5 S
S6ARMS:W6 S
S7ARMS:W7 S
S8ARMS:W8 S
S9ARMS:W9 S
S10ARMS:W10
S11ARMS:W11
Diff-Reach/extnd arms up
Diff-Reach/extnd arms up
Diff-Reach/extnd arms up
Diff-Reach/extnd arms up
Diff-Reach/extnd arms up
Diff-Reach/extnd arms up
Diff-Reach/extnd arms up
Diff-Reach/extnd arms up
Diff-Reach/extnd arms up
S Diff-Reach/extnd arms up
S Diff-Reach/extnd arms up
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
R1PUSH
R2PUSH
R3PUSH
R4PUSH
R5PUSH
R6PUSH
R7PUSH
R8PUSH
R9PUSH
R10PUSH
R11PUSH
R1PUSH:W1 R
R2PUSH:W2 R
R3PUSH:W3 R
R4PUSH:W4 R
R5PUSH:W5 R
R6PUSH:W6 R
R7PUSH:W7 R
R8PUSH:W8 R
R9PUSH:W9 R
R10PUSH:W10
R11PUSH:W11
Diff-Push/pull large obj
Diff-Push/pull large obj
Diff-Push/pull large obj
Diff-Push/pull large obj
Diff-Push/pull large obj
Diff-Push/pull large obj
Diff-Push/pull large obj
Diff-Push/pull large obj
Diff-Push/pull large obj
R Diff-Push/pull large obj
R Diff-Push/pull large obj
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1PUSH
S2PUSH
S3PUSH
S4PUSH
S5PUSH
S6PUSH
S7PUSH
S8PUSH
S9PUSH
S10PUSH
S11PUSH
S1PUSH:W1 S
S2PUSH:W2 S
S3PUSH:W3 S
S4PUSH:W4 S
S5PUSH:W5 S
S6PUSH:W6 S
S7PUSH:W7 S
S8PUSH:W8 S
S9PUSH:W9 S
S10PUSH:W10
S11PUSH:W11
Diff-Push/pull large obj
Diff-Push/pull large obj
Diff-Push/pull large obj
Diff-Push/pull large obj
Diff-Push/pull large obj
Diff-Push/pull large obj
Diff-Push/pull large obj
Diff-Push/pull large obj
Diff-Push/pull large obj
S Diff-Push/pull large obj
S Diff-Push/pull large obj
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1WALKS
R2WALKS
R3WALKS
R4WALKS
R5WALKS
R6WALKS
R7WALKS
R8WALKS
R9WALKS
R10WALKS
R11WALKS
12652
18928
17949
21351
19549
18155
20111
18455
17202
21888
20512
1.55
0.57
0.57
0.52
0.56
0.57
0.56
0.51
0.52
0.39
0.41
1.26
1.32
1.56
1.42
1.52
1.46
1.48
1.27
1.29
0.94
0.95
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S1WALKS
S2WALKS
S3WALKS
S4WALKS
S5WALKS
9900
12693
11902
13971
12722
1.50
0.41
0.42
0.38
0.42
1.18
1.07
1.31
1.20
1.27
1.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
Section B: Health
357
S6WALKS
S7WALKS
S8WALKS
S9WALKS
S10WALKS
S11WALKS
11634
12966
11731
10642
13428
12478
0.41
0.41
0.37
0.38
0.29
0.32
1.18
1.21
1.02
1.04
0.74
0.80
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
R1JOG
R2JOG
R3JOG
R4JOG
R5JOG
R6JOG
R7JOG
R8JOG
R9JOG
R10JOG
R11JOG
12652
11361
12591
15068
13467
12062
13695
12261
11316
14976
13835
3.90
1.66
4.79
4.90
5.17
4.78
4.11
3.63
3.59
1.98
2.05
2.56
2.01
4.17
4.16
4.16
4.13
4.09
3.95
3.94
3.14
3.18
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S1JOG
S2JOG
S3JOG
S4JOG
S5JOG
S6JOG
S7JOG
S8JOG
S9JOG
S10JOG
S11JOG
9900
8695
9056
10680
9514
8470
9655
8563
7747
9996
9173
3.82
1.65
4.57
4.70
4.97
4.55
3.88
3.39
3.37
1.77
1.84
2.53
2.02
4.17
4.17
4.18
4.13
4.05
3.88
3.88
2.95
3.01
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
R1WALK1
R2WALK1
R3WALK1
R4WALK1
R5WALK1
R6WALK1
R7WALK1
R8WALK1
R9WALK1
R10WALK1
R11WALK1
12652
11071
17949
21350
19549
18152
20114
18455
17203
21889
20514
1.23
0.11
0.26
0.24
0.27
0.28
0.28
0.27
0.27
0.21
0.22
0.82
0.42
1.05
0.93
1.04
0.99
1.06
0.95
0.93
0.71
0.72
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
4.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S1WALK1
S2WALK1
S3WALK1
S4WALK1
S5WALK1
S6WALK1
S7WALK1
S8WALK1
S9WALK1
S10WALK1
S11WALK1
9900
8472
11903
13969
12723
11635
12970
11731
10642
13431
12477
1.20
0.09
0.17
0.16
0.18
0.19
0.18
0.18
0.18
0.14
0.15
0.76
0.39
0.79
0.71
0.81
0.78
0.82
0.71
0.71
0.52
0.57
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
4.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
R1SIT
R2SIT
R3SIT
R4SIT
R5SIT
R6SIT
R7SIT
R8SIT
12652
11407
17950
21347
19546
18151
20106
18451
1.53
0.29
0.28
0.27
0.27
0.29
0.26
0.26
1.03
0.68
0.95
0.95
0.95
0.95
0.84
0.80
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
Section B: Health
358
R9SIT
R10SIT
R11SIT
17203
21878
20520
0.25
0.24
0.25
0.81
0.69
0.73
0.0
0.0
0.0
9.0
9.0
9.0
S1SIT
S2SIT
S3SIT
S4SIT
S5SIT
S6SIT
S7SIT
S8SIT
S9SIT
S10SIT
S11SIT
9900
8726
11903
13970
12722
11635
12964
11727
10643
13430
12480
1.52
0.27
0.26
0.26
0.25
0.27
0.24
0.23
0.23
0.22
0.22
1.01
0.65
0.91
0.91
0.88
0.92
0.80
0.72
0.75
0.65
0.66
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
R1CHAIR
R2CHAIR
R3CHAIR
R4CHAIR
R5CHAIR
R6CHAIR
R7CHAIR
R8CHAIR
R9CHAIR
R10CHAIR
R11CHAIR
12652
11412
17948
21352
19547
18149
20105
18452
17203
21876
20503
1.54
0.41
0.39
0.39
0.41
0.43
0.42
0.44
0.44
0.41
0.40
0.88
0.66
0.67
0.65
0.66
0.63
0.65
0.63
0.66
0.58
0.56
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S1CHAIR
S2CHAIR
S3CHAIR
S4CHAIR
S5CHAIR
S6CHAIR
S7CHAIR
S8CHAIR
S9CHAIR
S10CHAIR
S11CHAIR
9900
8732
11901
13970
12721
11632
12964
11726
10641
13423
12468
1.51
0.38
0.36
0.35
0.36
0.39
0.38
0.40
0.39
0.37
0.36
0.85
0.64
0.64
0.61
0.60
0.58
0.61
0.58
0.61
0.54
0.53
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
R1CLIMS
R2CLIMS
R3CLIMS
R4CLIMS
R5CLIMS
R6CLIMS
R7CLIMS
R8CLIMS
R9CLIMS
R10CLIMS
R11CLIMS
12652
11385
17944
21333
19531
18141
20075
18423
17186
21835
20496
2.05
0.56
1.52
1.45
1.47
1.48
1.31
1.15
1.21
0.82
0.87
1.52
1.06
2.83
2.76
2.76
2.72
2.54
2.26
2.35
1.71
1.81
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S1CLIMS
S2CLIMS
S3CLIMS
S4CLIMS
S5CLIMS
S6CLIMS
S7CLIMS
S8CLIMS
S9CLIMS
S10CLIMS
S11CLIMS
9900
8717
11898
13960
12712
11628
12946
11715
10635
13405
12468
1.97
0.51
1.26
1.21
1.22
1.20
1.04
0.91
0.97
0.65
0.68
1.44
1.02
2.61
2.53
2.53
2.46
2.25
1.97
2.08
1.43
1.50
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
Section B: Health
359
R1CLIM1
R2CLIM1
R3CLIM1
R4CLIM1
R5CLIM1
R6CLIM1
R7CLIM1
R8CLIM1
R9CLIM1
R10CLIM1
R11CLIM1
12652
19257
17946
21344
19540
18147
20094
18446
17198
21866
20512
1.37
0.47
0.58
0.54
0.58
0.54
0.52
0.46
0.49
0.33
0.37
0.98
1.38
1.82
1.74
1.81
1.69
1.65
1.47
1.54
1.11
1.20
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S1CLIM1
S2CLIM1
S3CLIM1
S4CLIM1
S5CLIM1
S6CLIM1
S7CLIM1
S8CLIM1
S9CLIM1
S10CLIM1
S11CLIM1
9900
12921
11899
13966
12717
11632
12962
11725
10639
13427
12472
1.32
0.30
0.40
0.36
0.39
0.35
0.34
0.31
0.30
0.22
0.25
0.90
1.01
1.50
1.40
1.46
1.33
1.30
1.17
1.15
0.85
0.93
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
R1STOOP
R2STOOP
R3STOOP
R4STOOP
R5STOOP
R6STOOP
R7STOOP
R8STOOP
R9STOOP
R10STOOP
R11STOOP
12652
11415
17945
21347
19547
18147
20098
18448
17200
21867
20503
1.78
0.51
0.58
0.60
0.62
0.65
0.66
0.64
0.65
0.55
0.56
1.15
0.77
1.21
1.24
1.27
1.23
1.31
1.14
1.17
0.90
0.98
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S1STOOP
S2STOOP
S3STOOP
S4STOOP
S5STOOP
S6STOOP
S7STOOP
S8STOOP
S9STOOP
S10STOOP
S11STOOP
9900
8735
11900
13967
12722
11633
12964
11729
10641
13425
12467
1.73
0.47
0.49
0.51
0.52
0.54
0.55
0.54
0.55
0.48
0.48
1.09
0.74
1.03
1.12
1.09
1.01
1.13
0.96
0.98
0.78
0.80
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
R1LIFT
R2LIFT
R3LIFT
R4LIFT
R5LIFT
R6LIFT
R7LIFT
R8LIFT
R9LIFT
R10LIFT
R11LIFT
12652
19149
17949
21344
19544
18151
20103
18453
17200
21877
20515
1.53
0.57
0.74
0.67
0.67
0.65
0.61
0.55
0.56
0.43
0.43
1.17
1.41
2.02
1.90
1.91
1.85
1.77
1.59
1.60
1.20
1.23
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S1LIFT
S2LIFT
9900
12881
1.46
0.40
1.09
1.11
1.0
0.0
9.0
9.0
Section B: Health
360
S3LIFT
S4LIFT
S5LIFT
S6LIFT
S7LIFT
S8LIFT
S9LIFT
S10LIFT
S11LIFT
11902
13968
12721
11634
12967
11732
10642
13426
12476
0.51
0.47
0.44
0.42
0.40
0.36
0.36
0.29
0.29
1.67
1.58
1.50
1.45
1.40
1.23
1.23
0.92
0.93
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
R1DIME
R2DIME
R3DIME
R4DIME
R5DIME
R6DIME
R7DIME
R8DIME
R9DIME
R10DIME
R11DIME
12652
19576
17948
21337
19535
18140
20087
18439
17187
21864
20518
1.11
0.09
0.10
0.10
0.10
0.10
0.10
0.10
0.10
0.09
0.09
0.47
0.47
0.51
0.54
0.55
0.51
0.52
0.45
0.47
0.41
0.41
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S1DIME
S2DIME
S3DIME
S4DIME
S5DIME
S6DIME
S7DIME
S8DIME
S9DIME
S10DIME
S11DIME
9900
13056
11902
13965
12719
11630
12961
11728
10640
13422
12482
1.09
0.07
0.08
0.08
0.08
0.07
0.07
0.07
0.07
0.07
0.07
0.44
0.37
0.47
0.46
0.46
0.42
0.43
0.34
0.37
0.36
0.37
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
R1ARMS
R2ARMS
R3ARMS
R4ARMS
R5ARMS
R6ARMS
R7ARMS
R8ARMS
R9ARMS
R10ARMS
R11ARMS
12652
11411
17949
21343
19538
18145
20100
18449
17199
21876
20523
1.20
0.17
0.23
0.21
0.21
0.22
0.21
0.22
0.21
0.21
0.20
0.65
0.49
0.78
0.75
0.71
0.72
0.70
0.69
0.64
0.56
0.57
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
4.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
S1ARMS
S2ARMS
S3ARMS
S4ARMS
S5ARMS
S6ARMS
S7ARMS
S8ARMS
S9ARMS
S10ARMS
S11ARMS
9900
8735
11901
13966
12716
11633
12964
11729
10641
13425
12478
1.18
0.15
0.19
0.17
0.17
0.17
0.17
0.17
0.17
0.16
0.16
0.61
0.46
0.68
0.62
0.60
0.61
0.59
0.56
0.57
0.47
0.50
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
4.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
R1PUSH
R2PUSH
R3PUSH
R4PUSH
R5PUSH
12652
19220
17947
21345
19541
1.55
0.73
1.06
0.98
0.97
1.22
1.69
2.50
2.40
2.39
1.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
Section B: Health
361
R6PUSH
R7PUSH
R8PUSH
R9PUSH
R10PUSH
R11PUSH
18150
20098
18445
17198
21878
20515
0.95
0.83
0.74
0.75
0.52
0.54
2.33
2.15
1.94
1.98
1.41
1.46
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
S1PUSH
S2PUSH
S3PUSH
S4PUSH
S5PUSH
S6PUSH
S7PUSH
S8PUSH
S9PUSH
S10PUSH
S11PUSH
9900
12911
11902
13967
12720
11630
12961
11727
10639
13429
12475
1.49
0.52
0.81
0.75
0.70
0.67
0.59
0.52
0.49
0.37
0.38
1.14
1.37
2.20
2.11
2.02
1.97
1.80
1.59
1.56
1.13
1.16
1.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
9.0
Categorical Variable Codes
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
R3WALKS
4
1
2
35
12593
4215
609
532
R4WALKS
3
R5WALKS
4
R6WALKS
3
R7WALKS
5
R8WALKS
4
R9WALKS
7
R10WALKS
11
R11WALKS
19
5
25
15073
5103
668
507
3
23
13471
4964
572
542
7
12070
5030
593
462
4
9
13706
5280
599
526
3
7
12268
5376
475
336
1
7
11330
5100
449
323
7
128
15016
6440
244
188
5
18
13859
6251
222
180
S3WALKS
1
1
1
10
5658
418
9058
2357
252
235
S4WALKS
S5WALKS
2
S6WALKS
2
S7WALKS
3
S8WALKS
1
S9WALKS
3
S10WALKS
8
S11WALKS
7
1
6
6869
537
10682
2789
275
225
1
5
6538
311
9515
2752
218
237
2
1
6777
380
9662
2866
222
216
2
1
6417
317
8567
2854
183
127
1
3
6306
220
8476
2758
222
178
4
77
7795
722
10023
3269
76
60
1
4
7473
591
9188
3136
84
70
Value----------------------|R1WALKS
1.Not at all diff
|9441
2.A little diff
|1320
3.Somewhat diff
|886
4.Very diff/cant do
|824
9. Dont do
|181
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
5.Cant do
|
9. Dont do
|
R2WALKS
340
373
1
14211
1600
2079
498
2
338
200
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
Value----------------------|S1WALKS
.U=Unmar
|2373
.V=Sp NR
|379
1.Not at all diff
|7551
2.A little diff
|1004
3.Somewhat diff
|640
4.Very diff/cant do
|590
9. Dont do
|115
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
S2WALKS
260
134
6206
365
7756
2624
141
121
Section B: Health
.R=RF
.U=Unmar
.V=Sp NR
0.No
1.Yes,a little
2.Yes,a lot
3.Yes,DK/NA how much
4.Yes,RF how much
5.Cant do
9. Dont do
362
|
|
|
|
|
|
|
|
|
|
1
5970
584
10170
916
1193
220
1
120
73
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
R3JOG
2
R4JOG
4
R5JOG
4
R6JOG
8
R7JOG
10
1
6423
3054
4047
1011
5583
R8JOG
6
1
6201
2841
4068
1103
4249
5398
2675
2813
925
6178
6312
3119
3169
1196
7584
6108
2618
2738
866
7245
6095
2138
3157
911
5856
S3JOG
2
S4JOG
1
S5JOG
1
S6JOG
6
2857
5658
418
2058
2187
590
4221
3297
6869
537
2359
2415
768
5138
3215
6538
311
1988
2063
568
4895
R3WALK1
4
1
2
35
15368
1969
398
214
R4WALK1
4
5
25
18287
2401
472
190
R9JOG
14
R10JOG
36
3
7019
5563
6124
859
2430
R11JOG
23
1
6695
5014
5688
794
2339
5887
2661
3810
965
3880
S8JOG
4
S9JOG
9
3163
6306
220
1640
2365
574
3891
S7JOG
6
1
3310
6777
380
2304
2991
685
3675
2890
6206
365
1945
2714
628
2460
S10JOG
24
2
3495
7795
722
3905
4164
542
1385
S11JOG
14
1
3302
7473
591
3507
3871
454
1341
3168
6417
317
2132
2989
703
2739
R5WALK1
4
R6WALK1
6
R7WALK1
3
R8WALK1
4
R9WALK1
5
R10WALK1
10
R11WALK1
18
3
23
16477
2433
413
226
7
15041
2517
407
187
3
9
16875
2588
404
247
3
7
15257
2659
367
172
1
8
14119
2593
341
150
7
128
18347
3242
201
99
4
18
16987
3256
177
94
Value----------------------|R1JOG
1.Not at all diff
|1854
2.A little diff
|2230
3.Somewhat diff
|2330
4.Very diff/cant do
|4027
9. Dont do
|2211
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
9. Dont do
|
R2JOG
55
8222
4
3200
2123
5302
68
10
658
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
Value----------------------|S1JOG
.U=Unmar
|2373
.V=Sp NR
|379
1.Not at all diff
|1495
2.A little diff
|1810
3.Somewhat diff
|1902
4.Very diff/cant do
|3053
9. Dont do
|1640
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
9. Dont do
|
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
S2JOG
40
4549
4
5970
384
2491
1684
3958
50
7
505
Section B: Health
363
Value----------------------|R1WALK1
1.Not at all diff
|11271
2.A little diff
|605
3.Somewhat diff
|396
4.Very diff/cant do
|314
9. Dont do
|66
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
4.Yes,RF how much
|
R2WALK1
347
8222
2
10332
294
441
4
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
S3WALK1
1
1
10
5658
418
10658
1008
161
76
S4WALK1
2
1
6
6869
537
12499
1217
187
66
S5WALK1
1
1
5
6538
311
11245
1235
157
86
R3SIT
4
2
35
14486
3169
123
172
R4SIT
6
5
26
17275
3751
113
208
R5SIT
7
3
23
15790
3468
99
189
S3SIT
1
1
10
5658
418
9700
S4SIT
S5SIT
2
1
5
6538
311
10457
S6WALK1
1
3
6306
220
10166
1250
149
70
S7WALK1
1
1
6777
380
11470
1270
140
90
S8WALK1
1
2
1
6417
317
10237
1305
135
54
S9WALK1
2
1
1
6206
365
9269
1214
109
50
S10WALK1
5
4
77
7795
722
11857
1484
63
27
S11WALK1
9
4
7473
591
10882
1502
61
32
R7SIT
7
6
10
16112
3756
96
142
R8SIT
8
3
7
14718
3517
105
111
R9SIT
5
1
8
13786
3224
84
109
R10SIT
18
9
129
17349
4376
64
89
R11SIT
13
3
18
16186
4174
63
97
S7SIT
4
3
1
6777
380
10519
S8SIT
5
2
1
6417
317
9527
S9SIT
1
1
1
6206
365
8704
S10SIT
5
4
78
7795
722
10874
S11SIT
6
Value----------------------|S1WALK1
.U=Unmar
|2373
.V=Sp NR
|379
1.Not at all diff
|8949
2.A little diff
|420
3.Somewhat diff
|273
4.Very diff/cant do
|218
9. Dont do
|40
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
4.Yes,RF how much
|
S2WALK1
265
4549
2
5970
384
7987
210
272
3
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
R6SIT
7
7
14405
3498
75
173
Value----------------------|R1SIT
1.Not at all diff
|8943
2.A little diff
|1763
3.Somewhat diff
|1169
4.Very diff/cant do
|711
9. Dont do
|66
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
9. Dont do
|
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
R2SIT
12
8222
1
9166
1324
895
4
2
16
1
7
6869
537
11450
S6SIT
1
3
6306
220
9372
4
7473
591
10097
Section B: Health
1.Yes
2.Cant do
9. Dont do
364
|
|
|
2032
67
104
2335
62
123
2120
43
102
2132
28
103
2313
52
80
2092
54
54
1856
27
56
2480
31
45
2304
34
45
R3CHAIR
4
1
3
35
11414
6327
158
49
R4CHAIR
1
R5CHAIR
6
R6CHAIR
9
R7CHAIR
9
R8CHAIR
7
R9CHAIR
4
R10CHAIR
19
R11CHAIR
31
5
26
13524
7602
177
49
3
23
12143
7201
153
50
7
10715
7246
154
34
5
10
12243
7657
161
44
3
7
10707
7547
164
34
2
8
10043
6987
133
40
10
129
13238
8532
79
27
2
18
12465
7937
81
20
S3CHAIR
1
1
2
10
5658
418
7954
3844
76
27
S4CHAIR
S5CHAIR
3
S6CHAIR
4
S7CHAIR
4
S8CHAIR
6
S9CHAIR
2
S10CHAIR
12
S11CHAIR
18
1
7
6869
537
9309
4563
73
25
1
5
6538
311
8321
4323
56
21
3
6306
220
7254
4307
56
15
3
1
6777
380
8269
4608
64
23
2
1
6417
317
7240
4412
60
14
2
1
6206
365
6622
3964
37
18
4
78
7795
722
8571
4816
25
11
4
7473
591
8043
4384
34
7
Value----------------------|S1SIT
.U=Unmar
|2373
.V=Sp NR
|379
1.Not at all diff
|7049
2.A little diff
|1396
3.Somewhat diff
|901
4.Very diff/cant do
|506
9. Dont do
|48
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
9. Dont do
|
S2SIT
12
4549
1
5970
384
7110
999
601
3
2
11
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
Value----------------------|R1CHAIR
1.Not at all diff
|8152
2.A little diff
|2768
3.Somewhat diff
|1234
4.Very diff/cant do
|472
9. Dont do
|26
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
9. Dont do
|
R2CHAIR
7
8222
1
7742
2704
953
4
6
3
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
Value----------------------|S1CHAIR
.U=Unmar
|2373
.V=Sp NR
|379
1.Not at all diff
|6476
2.A little diff
|2188
3.Somewhat diff
|902
4.Very diff/cant do
|317
9. Dont do
|17
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
S2CHAIR
6
4549
1
5970
384
Section B: Health
0.No
1.Yes,a little
2.Yes,a lot
3.Yes,DK/NA how much
4.Yes,RF how much
9. Dont do
365
|
|
|
|
|
|
6060
2045
618
2
4
3
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
R3CLIMS
9
3
35
9101
5540
1143
2160
R4CLIMS
19
6
26
10957
6654
1303
2419
R5CLIMS
22
3
23
9791
6370
1142
2228
R6CLIMS
17
S3CLIMS
5
2
10
5658
418
6697
3525
510
1166
S4CLIMS
10
1
7
6869
537
7957
4122
604
1277
S5CLIMS
12
1
5
6538
311
7081
3948
520
1163
S6CLIMS
8
R3CLIM1
6
4
35
14272
2248
680
746
R4CLIM1
8
6
26
17032
2727
783
802
R5CLIM1
13
3
23
15323
2704
708
805
7
8524
6485
1123
2009
R7CLIMS
39
5
10
9966
7007
1227
1875
R8CLIMS
34
5
7
8808
7195
1102
1318
R9CLIMS
22
1
8
8177
6684
967
1358
R10CLIMS
60
10
129
11269
8940
801
825
R11CLIMS
38
2
18
10430
8388
803
875
S7CLIMS
22
3
1
6777
380
7230
4263
549
904
S8CLIMS
16
3
1
6417
317
6360
4286
464
605
S9CLIMS
9
1
1
6206
365
5744
3900
364
627
S10CLIMS
29
5
78
7795
722
7690
5066
318
331
S11CLIMS
18
4
7473
591
7083
4703
339
343
R7CLIM1
20
5
10
15756
2917
750
671
R8CLIM1
14
2
7
14350
2937
687
472
R9CLIM1
10
1
8
13348
2747
615
488
R10CLIM1
32
7
129
17390
3732
452
292
R11CLIM1
21
3
18
16095
3624
465
328
Value----------------------|R1CLIMS
1.Not at all diff
|6369
2.A little diff
|2793
3.Somewhat diff
|1506
4.Very diff/cant do
|1684
9. Dont do
|300
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
9. Dont do
|
R2CLIMS
34
8222
1
7507
1991
1795
2
1
89
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
3
6306
220
6189
3936
499
1004
Value----------------------|S1CLIMS
.U=Unmar
|2373
.V=Sp NR
|379
1.Not at all diff
|5188
2.A little diff
|2193
3.Somewhat diff
|1169
4.Very diff/cant do
|1152
9. Dont do
|198
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
4.Yes,RF how much
|
9. Dont do
|
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
Value----------------------|R1CLIM1
1.Not at all diff
|10323
2.A little diff
|1066
3.Somewhat diff
|649
4.Very diff/cant do
|527
9. Dont do
|87
S2CLIMS
21
4549
1
5970
384
5965
1466
1224
1
61
R6CLIM1
11
7
14161
2657
690
639
Section B: Health
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
5.Cant do
|
9. Dont do
|
366
R2CLIM1
94
290
1
15709
1348
1155
493
256
296
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
S3CLIM1
3
3
10
5658
418
10066
1226
281
326
S4CLIM1
4
1
7
6869
537
11833
1471
334
328
S5CLIM1
7
1
5
6538
311
10653
1455
282
327
S6CLIM1
4
R3STOOP
7
4
35
10503
6358
804
280
R4STOOP
5
6
26
12436
7618
932
361
R5STOOP
5
4
23
11054
7372
767
354
R6STOOP
11
S3STOOP
2
3
10
5658
418
7439
3960
376
S4STOOP
3
1
7
6869
537
8693
4692
399
S5STOOP
1
2
5
6538
311
7669
4564
333
3
6306
220
9758
1375
256
243
S7CLIM1
6
3
1
6777
380
10894
1520
292
256
S8CLIM1
7
2
1
6417
317
9788
1491
265
181
S9CLIM1
5
1
1
6206
365
8922
1364
193
160
S10CLIM1
9
3
78
7795
722
11379
1798
151
99
S11CLIM1
13
1
4
7473
591
10452
1740
168
112
R7STOOP
16
5
10
10836
7989
880
393
R8STOOP
11
3
7
9439
7962
797
250
R9STOOP
8
1
8
8713
7577
653
257
R10STOOP
26
10
131
11629
9491
592
155
R11STOOP
29
4
18
10945
8869
499
190
S7STOOP
4
3
1
6777
380
7561
4866
361
S8STOOP
3
2
1
6417
317
6521
4767
341
S9STOOP
3
1
1
6206
365
5861
4436
247
S10STOOP
9
4
79
7795
722
7690
5443
231
S11STOOP
17
2
4
7473
591
7190
4995
220
Value----------------------|S1CLIM1
.U=Unmar
|2373
.V=Sp NR
|379
1.Not at all diff
|8259
2.A little diff
|784
3.Somewhat diff
|460
4.Very diff/cant do
|345
9. Dont do
|52
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
5.Cant do
|
9. Dont do
|
S2CLIM1
66
100
1
5970
584
11144
779
615
217
79
87
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
7
9602
7459
786
300
Value----------------------|R1STOOP
1.Not at all diff
|7258
2.A little diff
|2623
3.Somewhat diff
|1414
4.Very diff/cant do
|1284
9. Dont do
|73
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
9. Dont do
|
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes
|
2.Cant do
|
R2STOOP
4
8222
1
7429
2248
1721
6
7
4
S6STOOP
3
3
6306
220
6646
4549
321
Section B: Health
9. Dont do
367
|
125
183
156
117
176
100
97
61
62
R3LIFT
3
4
35
13089
3187
721
952
R4LIFT
6
7
27
15686
3860
814
984
R5LIFT
7
5
23
14321
3705
607
911
R6LIFT
7
R7LIFT
12
4
10
14844
3810
662
787
R8LIFT
7
2
7
13476
3840
571
566
R9LIFT
7
1
9
12449
3701
509
541
R10LIFT
17
9
131
15811
5288
423
355
R11LIFT
17
4
18
14820
4983
363
349
S3LIFT
S4LIFT
2
1
7
6869
537
11123
2066
353
426
S5LIFT
1
3
5
6538
311
10167
1939
266
349
S7LIFT
2
2
1
6777
380
10431
1968
264
304
S8LIFT
1
1
1
6417
317
9388
1925
215
204
S9LIFT
1
1
2
6206
365
8501
1797
157
187
S10LIFT
8
4
79
7795
722
10576
2579
157
114
S11LIFT
8
2
4
7473
591
9870
2365
132
109
Value----------------------|S1STOOP
.U=Unmar
|2373
.V=Sp NR
|379
1.Not at all diff
|5832
2.A little diff
|2077
3.Somewhat diff
|1077
4.Very diff/cant do
|871
9. Dont do
|43
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
9. Dont do
|
S2STOOP
3
4549
1
5970
384
5858
1701
1163
4
6
3
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
7
13257
3492
615
787
Value----------------------|R1LIFT
1.Not at all diff
|9451
2.A little diff
|1363
3.Somewhat diff
|823
4.Very diff/cant do
|886
9. Dont do
|129
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
5.Cant do
|
9. Dont do
|
R2LIFT
10
481
2
14504
1873
1958
9
4
548
253
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
3
10
5658
418
9406
1779
304
413
Value----------------------|S1LIFT
.U=Unmar
|2373
.V=Sp NR
|379
1.Not at all diff
|7633
2.A little diff
|1010
3.Somewhat diff
|600
4.Very diff/cant do
|574
9. Dont do
|83
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
S2LIFT
7
198
2
5970
584
10406
1102
1056
S6LIFT
2
3
6306
220
9352
1748
239
295
Section B: Health
3.Yes,DK/NA how much
4.Yes,RF how much
5.Cant do
9. Dont do
368
|
|
|
|
6
3
222
86
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
R3DIME
5
3
35
16590
1216
103
39
R4DIME
13
6
28
19782
1372
128
55
R5DIME
17
4
23
18045
1319
118
53
R6DIME
18
S3DIME
1
2
10
5658
418
11170
666
43
23
S4DIME
5
1
7
6869
537
13178
707
54
26
S5DIME
4
2
5
6538
311
11950
704
41
24
S6DIME
6
R3ARMS
4
3
35
14909
2738
201
101
R4ARMS
8
6
27
17856
3158
220
109
R5ARMS
13
5
23
16341
2938
173
86
R6ARMS
13
7
16764
1230
105
41
R7DIME
28
4
10
18610
1334
96
47
R8DIME
21
2
7
16952
1358
103
26
R9DIME
20
1
9
15751
1318
89
29
R10DIME
31
8
131
20187
1585
67
25
R11DIME
17
1
18
18888
1530
78
22
S7DIME
8
2
1
6777
380
12240
666
34
21
S8DIME
5
1
1
6417
317
10985
696
40
7
S9DIME
3
1
2
6206
365
9977
624
30
9
S10DIME
13
3
79
7795
722
12615
772
24
11
S11DIME
4
R7ARMS
14
5
10
16761
3067
186
86
R8ARMS
10
3
7
15218
2993
164
74
R9ARMS
9
1
8
14211
2794
139
55
R10ARMS
17
10
131
17822
3892
119
43
R11ARMS
12
1
18
16779
3592
109
43
Value----------------------|R1DIME
1.Not at all diff
|11836
2.A little diff
|455
3.Somewhat diff
|246
4.Very diff/cant do
|106
9. Dont do
|9
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
5.Cant do
|
9. Dont do
|
R2DIME
11
53
2
18373
757
408
1
1
16
20
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
3
6306
220
10965
607
42
16
4
7473
591
11718
725
28
11
Value----------------------|S1DIME
.U=Unmar
|2373
.V=Sp NR
|379
1.Not at all diff
|9330
2.A little diff
|337
3.Somewhat diff
|152
4.Very diff/cant do
|75
9. Dont do
|6
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
5.Cant do
|
9. Dont do
|
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
Value----------------------|R1ARMS
1.Not at all diff
|11126
2.A little diff
|831
3.Somewhat diff
|412
4.Very diff/cant do
|267
S2DIME
5
25
2
5970
584
12418
420
204
1
1
6
6
7
15024
2879
160
82
Section B: Health
9. Dont do
369
|16
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
R2ARMS
8
8222
1
9972
892
543
1
3
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
S3ARMS
2
2
10
5658
418
10177
1589
85
50
S4ARMS
4
1
7
6869
537
12051
1771
99
45
S5ARMS
6
3
5
6538
311
10971
1633
76
36
S6ARMS
3
S8ARMS
4
1
1
6417
317
10010
1632
61
26
S9ARMS
3
1
1
6206
365
9146
1417
51
27
S10ARMS
9
4
79
7795
722
11381
1987
42
15
S11ARMS
8
3
6306
220
9950
1584
64
35
S7ARMS
4
3
1
6777
380
11132
1719
77
36
R3PUSH
4
1
4
35
12225
3302
864
1556
R4PUSH
6
R5PUSH
10
R6PUSH
8
R7PUSH
15
R8PUSH
15
R9PUSH
10
R10PUSH
16
R11PUSH
17
6
27
14799
3918
951
1677
5
23
13547
3713
758
1523
7
12373
3701
744
1332
6
10
14065
4021
785
1227
2
7
12620
4254
679
892
1
8
11889
3859
573
877
9
131
15174
5698
489
517
4
18
14182
5366
441
526
S3PUSH
S4PUSH
3
1
7
6869
537
10456
2264
S5PUSH
2
3
5
6538
311
9578
2127
S7PUSH
6
4
1
6777
380
9887
2208
S8PUSH
6
1
1
6417
317
8805
2293
S9PUSH
5
1
1
6206
365
8123
1987
S10PUSH
5
4
79
7795
722
10131
2916
S11PUSH
10
1
4
7473
591
9395
2718
4
7473
591
10619
1797
43
19
Value----------------------|S1ARMS
.U=Unmar
|2373
.V=Sp NR
|379
1.Not at all diff
|8838
2.A little diff
|588
3.Somewhat diff
|290
4.Very diff/cant do
|174
9. Dont do
|10
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
S2ARMS
3
4549
1
5970
384
7769
622
341
1
2
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
0.No
|
1.Yes
|
2.Cant do
|
9. Dont do
|
Value----------------------|R1PUSH
1.Not at all diff
|9303
2.A little diff
|1577
3.Somewhat diff
|766
4.Very diff/cant do
|843
9. Dont do
|163
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
5.Cant do
|
9. Dont do
|
Value----------------------|
.D=DK/NA
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes
|
R2PUSH
9
410
3
14115
1758
1786
493
10
609
449
3
10
5658
418
8757
1999
S6PUSH
6
3
6306
220
8764
1987
Section B: Health
2.Cant do
9. Dont do
370
|
|
381
765
429
818
340
675
299
580
335
531
264
365
213
316
191
191
176
186
Value----------------------|S1PUSH
.U=Unmar
|2373
.V=Sp NR
|379
1.Not at all diff
|7471
2.A little diff
|1225
3.Somewhat diff
|551
4.Very diff/cant do
|547
9. Dont do
|106
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.U=Unmar
|
.V=Sp NR
|
0.No
|
1.Yes,a little
|
2.Yes,a lot
|
3.Yes,DK/NA how much
|
4.Yes,RF how much
|
5.Cant do
|
9. Dont do
|
S2PUSH
6
169
2
5970
584
10098
1118
1042
216
7
259
171
How Constructed:
These variables recode raw variables for difficulty with activities besides activities of daily living
(ADLs) and instrumental activities of daily living (IADLs) as they appear in the raw data except for
missing values and accounting for skip patterns. The activities described here include walking several
blocks (RwWALKS), jogging one mile (RwJOG), walking one block (RwWALK1), sitting for about 2 hours
(RwSIT), getting up from a chair after sitting for long periods (RwCHAIR), climbing several flights of
stairs without resting (RwCLIMS), climbing one flight of stairs without resting (RwCLIM1), lifting or
carrying weights over 10 lbs (RwLIFT), stooping kneeling, or crouching (RwSTOOP), reaching arms above
shoulder level (RwARMS), pushing or pulling large objects (RwPUSH), and picking up a dime from the table
(RwDIME). These variables are referred to as Rw[func] in the descriptions below.
Note that RwJOG, RwWALK1, RwCLIMS, RwSIT, RwCHAIR, RwSTOOP, and RwARMS are not asked in Wave 2A.
variables are set to .Q in Wave 2 for Ahead respondents.
These
The recodes vary across waves because the question and responses can vary across waves. In Wave 1, the
HRS imputations are left in place. In all other waves don’t know is recoded to special missing code .D
and refused is recoded to .R. In Wave 1 difficulty with an activity is rated on a 4-point scale from no
difficulty to very difficult/can’t do. These are assigned without change. A "don’t do" answer is recoded
to 9.
In Wave 2, the question asks if R has any difficulty with an activity and if so, asks followup questions
about the degree of difficulty. In Wave 2H, the raw variable codes both questions as one categorical
variable. In Wave 2A the answer to the first question and a categorical variable for the followup are
given. In either case, a "no" answer to the first question about any difficulty is recoded to 0, and the
categorical levels of difficulty are recoded appropriately to "a little" and "a lot", or "don’t
know/refused how much". In Wave 2A, if the respondent says "don't do" to the first question about
difficulty, s/he is asked if this is because of a health problem, and if so, "don't do" is changed to
"can't do". In Wave 2A, "can’t do" is recoded to 5. In Wave 2H, the "can’t do" is not allowed. A
"don’t do" response is coded as 9.
From Wave 3 forward, the answers are simply yes for difficulty and no if not, which are coded 1 and 0,
respectively. A "can't do" response is recoded to 2 and a "don't do" response is recoded to 9.
In some waves, questions about activities are skipped based on answers to previous questions. In Waves 1
and 2H, if a respondent reports no difficulty jogging a mile, then the questions about walking several
blocks and walking one block are skipped. In these cases RwWALKS and RwWALK1 are set to 0 for no
difficulty. In Wave 2A if the respondent reports needing help in getting across a room, then the
questions about walking several blocks, climbing one flight of stairs, and pushing large objects. In
these cases difficulty is assumed for the skipped activities, i.e., R2WALKS, R2CLIM1, and R2PUSH are set
to 3, difficulty but how much is not ascertained.
Section B: Health
371
From Wave 3 forward, if the respondent reports no difficulty walking several blocks, the question about
walking one block is skipped, and RwWALK1 is set to 0 for no difficulty. In all waves except 2A, if the
respondent said no difficulty to climbing several flights of stairs, the question about climbing one
flight of stairs is skipped, and RwCLIM1 is set to 0 for no difficulty.
The spouse variables are taken from the spouse's self-reported Wave 'w' data. If R is not married,
spouse variables are set to .U=unmarried. If R's spouse did not respond then the variables are set to
.V=Spouse is non-response.
There are other versions of the Rw[func] variables that recode to a yes/no measure for use in creating
indices. One version of this variable is derived that attempts to code a consistent cross-wave yes/no
dummy that indicates "some difficulty" (Rw[func]A). These are available from Wave 2 forward. Because of
the inconsistent coding of the underlying HRS data, we do not construct R1[func]A variables in Wave 1.
Please see the description of the Rw[func]A variables under "Other functional limitations: Some
difficulty" for this version. Some of the Rw[func]A variables are used to construct functional
limitation indices. Please see "Other Summary Indices".
A third version of these variables are derived for Wave 1 only (R1[func]W). They code a yes/no dummy
that indicates "any difficulty" in a manner used by Wallace and Herzog in their paper. These are
provided for comparison to the results found in that paper. Please see "Other functional limitations:
Recodes for comparison to Wallace and Herzog" for a description of the R1[func]W variables. Note that
the Wallace and Herzog variables result in more limitation than the 0/1 recodes done in other waves
(Rw[func]A) solely due to measurement differences in the raw data. The R1[func]W variables are not
appropriate for comparison to the Rw[func]A variables in other waves.
Cross Wave Differences in Original HRS Data
In all waves questions ask about a number of activities, such as climbing stairs or picking up a dime,
but the question wording and possible answers vary. In Waves 1 and 2H questions about activities of
daily living (ADLs) are embedded among those about other functional limitations. This description
applies to the other functional limitations. The Wave 1 questions ask:
We are interested in how much difficulty people have with various activities because of a health or
physical problem. Please look at the answer categories at the top of page one of the booklet and tell me
how difficult each activity is for you. Exclude any difficulties that you expect to last less than three
months. How difficult is it for you to [...]? Is it not at all difficult, a little difficult, somewhat
difficult, very difficult, or something that you can't do at all?
The respondent can also answer "Don't do". The answers translate into 4 codes: 1 for not at all
difficult, 2 for a little difficult, 3 for somewhat difficult, and 4 for very difficult/can't do.
Another code is used for the "Don't do" response. The first question asks how difficult it is to run or
jog a mile. The specific wording for the other functional limitations (besides ADLs) is: walk several
blocks; walk one block; sit for about 2 hours; get up from a chair after sitting for long periods; climb
several flights of stairs without resting; climb one flight of stairs without resting; lift or carry
weights over 10 lbs like a heavy bag of groceries; stoop, kneel, or crouch; pick up a dime from the
table; reach or extend your arms above shoulder level; and push or pull large objects like a living room
chair. If the respondent says s/he has no difficulty with running a mile, then all the questions about
walking, including several blocks, one block, and across a room, are skipped. If no difficulty is
reported for walking several blocks then the questions about walking one block or across a room are
skipped, and if no difficulty is reported for walking one block, the question about walking across a room
is skipped. Likewise if no difficulty climbing several flights of stairs is reported, the question about
climbing one flight of stairs is skipped.
In Wave 2H the questions and answers differ.
The questions ask:
We are interested in how much difficulty people have with various activities because of a health or
physical problem. Please tell me how difficult each of the following activities is for you. Exclude any
difficulties that you expect to last less than three months. Do you have any difficulty with ...? [IF
YES] Is that a little difficulty or a lot of difficulty?
In the data the answers to the 2-part question are recoded into 5-categories: 1=yes, a little difficult;
2=yes, a lot; 3=yes, DK; 4=yes, RF; 5=No; 6=doesn't do. Note that there is no "Can't do" category and
that "Don't do" is not an option in the instrument. The "Doesn't do" category is likely the result of
Section B: Health
372
post-interview interpretation of interview comments so may be observed less frequently than in other
waves, simply because of questionnaire differences. The number of "Don’t do" responses is much larger in
other waves for most activities. For example, only 16 and 91 say "don’t do" for sitting for 2 hours and
climbing several flights of stairs in Wave 2H, but 87 and 736 have this response in Wave 3H,
respectively. The specific wording for these activities and the question skips for walking and climbing
stairs are the same as in Wave 1.
In Wave 2A, the questions are different from other waves and the list of activities is shorter. Also the
ADL questions are asked first as a group. The questions about functional difficulties besides ADLs and
IADLs ask:
Do you have any difficulty ...?
little, or a lot of difficulty?
problem?
Answers may be yes, no, can’t do and don’t do. [If YES]: Is that a
[If DON’T DO to the first question]: Is that because of a health
The specific wording for these activities is: walking several blocks; climbing one flight of stairs
without resting; pushing or pulling large objects like a living room chair; lifting or carrying weights
over 10 lbs like a heavy bag of groceries; and picking up a dime from the table. If the respondent
reports needing help getting across a room earlier in the interview, then the questions about walking
several blocks, climbing stairs, and pushing large objects are skipped.
From Wave 3 forward, the questions about ADLs and IADLs are asked after those about the other activities
described here. The questions ask:
We need to understand difficulties people may have with various activities because of a health or
physical problem. Please tell me whether you have any difficulty doing each of the everyday activities
that I read to you. Exclude any
difficulties that you expect to last less than three months.
difficulty with ...?
Because of a health problem do you have any
The answers to the difficulty questions are simply yes, no, can't do, or don't do. The exact wording for
these activities is: walking several blocks; running or jogging about a mile; across a room; walking one
block; sitting for about 2 hours; getting up from a chair after sitting for long periods; climbing
several flights of stairs without resting; climbing one flight of stairs without resting; stooping,
kneeling, or crouching; reaching or extending your arms above shoulder level; pushing or pulling large
objects like a living room chair; lifting or carrying weights over 10 lbs like a heavy bag of groceries;
and picking up a dime from the table. If the respondent reports no difficulty to walking several block,
then the question about running a mile is asked, and the question about walking one block is skipped.
The question about climbing one flight of stairs is skipped if no difficulty is reported for climbing
several flights of stairs.
In Wave 7, the interviewer may also say the following if the respondent is in a nursing home or confined
to bed or a wheelchair, before asking about these activities:
I am required to ask about all of these activities. I realize that you may not be able to do some of
them, but I would appreciate it if you would just confirm that with me as we go through the list.
HRS Variables Used
V304
V305
V306
V308
V309
V311
V312
V313
V314
V315
V317
V318
AHEAD 1993:
B4A:RUN OR JOG 1 MIL:IMP
B4B:WALK SEVERAL BLO:IMP
B4C:WALK 1 BLOCK
:IMP
B4E:SIT FOR 2 HOURS :IMP
B4F:GET UP AFTR SIT :IMP
B4H:CLMB SVRL FLTS S:IMP
B4J:1 FLT STAIRS-NO :IMP
B4K:LIFT/CARRY 10 LB:IMP
B4M:STOOP/KNEEL/CROU:IMP
B4N:PCK UP DIME FRM :IMP
B4Q:ARMS OVER SHOULD:IMP
B4R:PULL/PUSH LRG OB:IMP
Section B: Health
B768
B852
B865
B872
B879
B882
HRS 1994:
W306
W307
W308
W311
W313
W314
W315
W316
W317
W319
W320
AHEAD 1995:
D1834
D1837
D1840
D1843
D1846
D1849
D1852
D1855
D1858
D1861
D1864
D1867
HRS 1996:
E1858
E1861
E1864
E1867
E1870
E1873
E1876
E1879
E1882
E1885
E1888
E1891
HRS 1998:
F2391
F2392
F2394
F2397
F2400
F2403
F2406
F2409
F2412
F2415
F2418
F2421
HRS 2000:
G2689
G2690
G2692
G2695
G2698
373
E33.
E47.
E48.
E49.
E50.
E51.
ADL WALK HELP EVER
WALK SEV BLOCKS ANY DIFFICULTY
STAIR CLIMB ANY DIFFICULTY
HEAVY OBJ ANY DIFFICULTY
LIFT 10 LBS ANY DIFFICULTY
PICK UP DIME ANY DIFFICULTY
B4.RUNNING/JOGGING 1 MIL
B4a.WALKING SEVERAL BLOC
B4b.WALKING ONE BLOCK
B4e.GETTING UP AFTER SIT
B4g.CLIMBING SEVERAL FLI
B4h.CLIMBING ONE FLIGHT
B4j.LIFTING OR CARRYING
B4k.STOOPING/KNEELING/CR
B4m.PICKING UP A DIME
B4p.EXTENDING ARMS ABOVE
B4q.PULLING/PUSHING LARG
E60.DIFF-SEV BLKS
E61.DIFF-JOG
E62.DIFF-1 BLK
E63.DIFF-SIT
E64.DIFF-CHAIR
E65.DIFF-STAIRS
E66.DIFF-1 STAIR
E67.DIFF-STOOP
E68.DIFF-REACH
E69.DIFF-PULL PUSH
E70.E70.DIFF-WEIGHTS
E71.PICK DIME
E60.DIFF-SEV BLKS
E61.DIFF-JOG
E62.DIFF-1 BLK
E63.DIFF-SIT
E64.DIFF-CHAIR
E65.DIFF-STAIRS
E66.DIFF-1 STAIR
E67.DIFF-STOOP
E68.DIFF-REACH
E69.DIFF-PULL PUSH
E70.DIFF-WEIGHTS
E71.PICK DIME
E60.DIFF-SEV BLKS
E61.DIFF-JOG
E62.DIFF-1 BLK
E63.DIFF-SIT
E64.DIFF-CHAIR
E65.DIFF-STAIRS
E66.DIFF-1 STAIR
E67.DIFF-STOOP
E68.DIFF-REACH
E69.DIFF-PULL PUSH
E70.DIFF-WEIGHTS
E71.PICK DIME
E60.DIFF-SEV BLKS
E61.DIFF-JOG
E62.DIFF-1 BLK
E63.DIFF-SIT
E64.DIFF-CHAIR
Section B: Health
HRS
HRS
HRS
HRS
HRS
G2701
G2704
G2707
G2710
G2713
G2716
G2719
2002:
HG001
HG002
HG003
HG004
HG005
HG006
HG007
HG008
HG009
HG010
HG011
HG012
2004:
JG001
JG002
JG003
JG004
JG005
JG006
JG007
JG008
JG009
JG010
JG011
JG012
2006:
KG001
KG002
KG003
KG004
KG005
KG006
KG007
KG008
KG009
KG010
KG011
KG012
2008:
LG001
LG002
LG003
LG004
LG005
LG006
LG007
LG008
LG009
LG010
LG011
LG012
2010:
MG001
MG002
MG003
374
E65.DIFF-STAIRS
E66.DIFF-1 STAIR
E67.DIFF-STOOP
E68.DIFF-REACH
E69.DIFF-PULL PUSH
E70.DIFF-WEIGHTS
E71.PICK DIME
DIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTY-
WALKING SEVERAL BLOCKS
JOGGING 1 MILE
WALKING 1 BLOCK
SITTING 2 HOURS
GETTING UP FROM CHAIR
CLIMBING STAIRS
CLIMBING 1 FLIGHT OF STAIRS
STOOPING
REACHING ARMS
PULL/PUSH LARGE OBJECTS
LIFTING WEIGHTS
PICKING UP DIME
DIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTY-
WALKING SEVERAL BLOCKS
JOGGING 1 MILE
WALKING 1 BLOCK
SITTING 2 HOURS
GETTING UP FROM CHAIR
CLIMBING STAIRS
CLIMBING 1 FLIGHT OF STAIRS
STOOPING
REACHING ARMS
PULL/PUSH LARGE OBJECTS
LIFTING WEIGHTS
PICKING UP DIME
DIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTY-
WALKING SEVERAL BLOCKS
JOGGING 1 MILE
WALKING 1 BLOCK
SITTING 2 HOURS
GETTING UP FROM CHAIR
CLIMBING STAIRS
CLIMBING 1 FLIGHT OF STAIRS
STOOPING
REACHING ARMS
PULL/PUSH LARGE OBJECTS
LIFTING WEIGHTS
PICKING UP DIME
DIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTY-
WALKING SEVERAL BLOCKS
JOGGING 1 MILE
WALKING 1 BLOCK
SITTING 2 HOURS
GETTING UP FROM CHAIR
CLIMBING STAIRS
CLIMBING 1 FLIGHT OF STAIRS
STOOPING
REACHING ARMS
PULL/PUSH LARGE OBJECTS
LIFTING WEIGHTS
PICKING UP DIME
DIFFICULTY- WALKING SEVERAL BLOCKS
DIFFICULTY- JOGGING 1 MILE
DIFFICULTY- WALKING 1 BLOCK
Section B: Health
MG004
MG005
MG006
MG007
MG008
MG009
MG010
MG011
MG012
HRS 2012:
NG001
NG002
NG003
NG004
NG005
NG006
NG007
NG008
NG009
NG010
NG011
NG012
375
DIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTY-
SITTING 2 HOURS
GETTING UP FROM CHAIR
CLIMBING STAIRS
CLIMBING 1 FLIGHT OF STAIRS
STOOPING
REACHING ARMS
PULL/PUSH LARGE OBJECTS
LIFTING WEIGHTS
PICKING UP DIME
DIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTY-
WALKING SEVERAL BLOCKS
JOGGING 1 MILE
WALKING 1 BLOCK
SITTING 2 HOURS
GETTING UP FROM CHAIR
CLIMBING STAIRS
CLIMBING 1 FLIGHT OF STAIRS
STOOPING
REACHING ARMS
PULL/PUSH LARGE OBJECTS
LIFTING WEIGHTS
PICKING UP DIME
Section B: Health
376
Other Functional Limitations: Some difficulty
Wave
Variable
Label
Type
2
3
4
5
6
7
8
9
10
11
R2WALKSA
R3WALKSA
R4WALKSA
R5WALKSA
R6WALKSA
R7WALKSA
R8WALKSA
R9WALKSA
R10WALKSA
R11WALKSA
R2WALKSA:W2 R
R3WALKSA:W3 R
R4WALKSA:W4 R
R5WALKSA:W5 R
R6WALKSA:W6 R
R7WALKSA:W7 R
R8WALKSA:W8 R
R9WALKSA:W9 R
R10WALKSA:W10
R11WALKSA:W11
Some Diff-Walk sev blocks
Some Diff-Walk sev blocks
Some Diff-Walk sev blocks
Some Diff-Walk sev blocks
Some Diff-Walk sev blocks
Some Diff-Walk sev blocks
Some Diff-Walk sev blocks
Some Diff-Walk sev blocks
R Some Diff-Walk sev blocks
R Some Diff-Walk sev blocks
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2WALKSA
S3WALKSA
S4WALKSA
S5WALKSA
S6WALKSA
S7WALKSA
S8WALKSA
S9WALKSA
S10WALKSA
S11WALKSA
S2WALKSA:W2 S
S3WALKSA:W3 S
S4WALKSA:W4 S
S5WALKSA:W5 S
S6WALKSA:W6 S
S7WALKSA:W7 S
S8WALKSA:W8 S
S9WALKSA:W9 S
S10WALKSA:W10
S11WALKSA:W11
Some Diff-Walk sev blocks
Some Diff-Walk sev blocks
Some Diff-Walk sev blocks
Some Diff-Walk sev blocks
Some Diff-Walk sev blocks
Some Diff-Walk sev blocks
Some Diff-Walk sev blocks
Some Diff-Walk sev blocks
S Some Diff-Walk sev blocks
S Some Diff-Walk sev blocks
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2JOGA
R3JOGA
R4JOGA
R5JOGA
R6JOGA
R7JOGA
R8JOGA
R9JOGA
R10JOGA
R11JOGA
R2JOGA:W2 R
R3JOGA:W3 R
R4JOGA:W4 R
R5JOGA:W5 R
R6JOGA:W6 R
R7JOGA:W7 R
R8JOGA:W8 R
R9JOGA:W9 R
R10JOGA:W10
R11JOGA:W11
Some Diff-Jog one mile
Some Diff-Jog one mile
Some Diff-Jog one mile
Some Diff-Jog one mile
Some Diff-Jog one mile
Some Diff-Jog one mile
Some Diff-Jog one mile
Some Diff-Jog one mile
R Some Diff-Jog one mile
R Some Diff-Jog one mile
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2JOGA
S3JOGA
S4JOGA
S5JOGA
S6JOGA
S7JOGA
S8JOGA
S9JOGA
S10JOGA
S11JOGA
S2JOGA:W2 S
S3JOGA:W3 S
S4JOGA:W4 S
S5JOGA:W5 S
S6JOGA:W6 S
S7JOGA:W7 S
S8JOGA:W8 S
S9JOGA:W9 S
S10JOGA:W10
S11JOGA:W11
Some Diff-Jog one mile
Some Diff-Jog one mile
Some Diff-Jog one mile
Some Diff-Jog one mile
Some Diff-Jog one mile
Some Diff-Jog one mile
Some Diff-Jog one mile
Some Diff-Jog one mile
S Some Diff-Jog one mile
S Some Diff-Jog one mile
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2WALK1A
R3WALK1A
R4WALK1A
R5WALK1A
R6WALK1A
R7WALK1A
R8WALK1A
R9WALK1A
R10WALK1A
R11WALK1A
R2WALK1A:W2 R
R3WALK1A:W3 R
R4WALK1A:W4 R
R5WALK1A:W5 R
R6WALK1A:W6 R
R7WALK1A:W7 R
R8WALK1A:W8 R
R9WALK1A:W9 R
R10WALK1A:W10
R11WALK1A:W11
2
3
S2WALK1A
S3WALK1A
S2WALK1A:W2 S Some Diff-Walk one block
S3WALK1A:W3 S Some Diff-Walk one block
Some Diff-Walk one block
Some Diff-Walk one block
Some Diff-Walk one block
Some Diff-Walk one block
Some Diff-Walk one block
Some Diff-Walk one block
Some Diff-Walk one block
Some Diff-Walk one block
R Some Diff-Walk one block
R Some Diff-Walk one block
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Section B: Health
377
4
5
6
7
8
9
10
11
S4WALK1A
S5WALK1A
S6WALK1A
S7WALK1A
S8WALK1A
S9WALK1A
S10WALK1A
S11WALK1A
S4WALK1A:W4 S
S5WALK1A:W5 S
S6WALK1A:W6 S
S7WALK1A:W7 S
S8WALK1A:W8 S
S9WALK1A:W9 S
S10WALK1A:W10
S11WALK1A:W11
Some Diff-Walk one block
Some Diff-Walk one block
Some Diff-Walk one block
Some Diff-Walk one block
Some Diff-Walk one block
Some Diff-Walk one block
S Some Diff-Walk one block
S Some Diff-Walk one block
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2SITA
R3SITA
R4SITA
R5SITA
R6SITA
R7SITA
R8SITA
R9SITA
R10SITA
R11SITA
R2SITA:W2 R
R3SITA:W3 R
R4SITA:W4 R
R5SITA:W5 R
R6SITA:W6 R
R7SITA:W7 R
R8SITA:W8 R
R9SITA:W9 R
R10SITA:W10
R11SITA:W11
Some Diff-Sit for 2
Some Diff-Sit for 2
Some Diff-Sit for 2
Some Diff-Sit for 2
Some Diff-Sit for 2
Some Diff-Sit for 2
Some Diff-Sit for 2
Some Diff-Sit for 2
R Some Diff-Sit for
R Some Diff-Sit for
hours
hours
hours
hours
hours
hours
hours
hours
2 hours
2 hours
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2SITA
S3SITA
S4SITA
S5SITA
S6SITA
S7SITA
S8SITA
S9SITA
S10SITA
S11SITA
S2SITA:W2 S
S3SITA:W3 S
S4SITA:W4 S
S5SITA:W5 S
S6SITA:W6 S
S7SITA:W7 S
S8SITA:W8 S
S9SITA:W9 S
S10SITA:W10
S11SITA:W11
Some Diff-Sit for 2
Some Diff-Sit for 2
Some Diff-Sit for 2
Some Diff-Sit for 2
Some Diff-Sit for 2
Some Diff-Sit for 2
Some Diff-Sit for 2
Some Diff-Sit for 2
S Some Diff-Sit for
S Some Diff-Sit for
hours
hours
hours
hours
hours
hours
hours
hours
2 hours
2 hours
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2CHAIRA
R3CHAIRA
R4CHAIRA
R5CHAIRA
R6CHAIRA
R7CHAIRA
R8CHAIRA
R9CHAIRA
R10CHAIRA
R11CHAIRA
R2CHAIRA:W2 R
R3CHAIRA:W3 R
R4CHAIRA:W4 R
R5CHAIRA:W5 R
R6CHAIRA:W6 R
R7CHAIRA:W7 R
R8CHAIRA:W8 R
R9CHAIRA:W9 R
R10CHAIRA:W10
R11CHAIRA:W11
Some Diff-Get up fr chair
Some Diff-Get up fr chair
Some Diff-Get up fr chair
Some Diff-Get up fr chair
Some Diff-Get up fr chair
Some Diff-Get up fr chair
Some Diff-Get up fr chair
Some Diff-Get up fr chair
R Some Diff-Get up fr chair
R Some Diff-Get up fr chair
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2CHAIRA
S3CHAIRA
S4CHAIRA
S5CHAIRA
S6CHAIRA
S7CHAIRA
S8CHAIRA
S9CHAIRA
S10CHAIRA
S11CHAIRA
S2CHAIRA:W2 S
S3CHAIRA:W3 S
S4CHAIRA:W4 S
S5CHAIRA:W5 S
S6CHAIRA:W6 S
S7CHAIRA:W7 S
S8CHAIRA:W8 S
S9CHAIRA:W9 S
S10CHAIRA:W10
S11CHAIRA:W11
Some Diff-Get up fr chair
Some Diff-Get up fr chair
Some Diff-Get up fr chair
Some Diff-Get up fr chair
Some Diff-Get up fr chair
Some Diff-Get up fr chair
Some Diff-Get up fr chair
Some Diff-Get up fr chair
S Some Diff-Get up fr chair
S Some Diff-Get up fr chair
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2CLIMSA
R3CLIMSA
R4CLIMSA
R5CLIMSA
R6CLIMSA
R7CLIMSA
R8CLIMSA
R9CLIMSA
R10CLIMSA
R11CLIMSA
R2CLIMSA:W2 R
R3CLIMSA:W3 R
R4CLIMSA:W4 R
R5CLIMSA:W5 R
R6CLIMSA:W6 R
R7CLIMSA:W7 R
R8CLIMSA:W8 R
R9CLIMSA:W9 R
R10CLIMSA:W10
R11CLIMSA:W11
Some Diff-Clmb sev flt str
Some Diff-Clmb sev flt str
Some Diff-Clmb sev flt str
Some Diff-Clmb sev flt str
Some Diff-Clmb sev flt str
Some Diff-Clmb sev flt str
Some Diff-Clmb sev flt str
Some Diff-Clmb sev flt str
R Some Diff-Clmb sev flt str
R Some Diff-Clmb sev flt str
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Section B: Health
378
2
3
4
5
6
7
8
9
10
11
S2CLIMSA
S3CLIMSA
S4CLIMSA
S5CLIMSA
S6CLIMSA
S7CLIMSA
S8CLIMSA
S9CLIMSA
S10CLIMSA
S11CLIMSA
S2CLIMSA:W2 S
S3CLIMSA:W3 S
S4CLIMSA:W4 S
S5CLIMSA:W5 S
S6CLIMSA:W6 S
S7CLIMSA:W7 S
S8CLIMSA:W8 S
S9CLIMSA:W9 S
S10CLIMSA:W10
S11CLIMSA:W11
Some Diff-Clmb sev flt str
Some Diff-Clmb sev flt str
Some Diff-Clmb sev flt str
Some Diff-Clmb sev flt str
Some Diff-Clmb sev flt str
Some Diff-Clmb sev flt str
Some Diff-Clmb sev flt str
Some Diff-Clmb sev flt str
S Some Diff-Clmb sev flt str
S Some Diff-Clmb sev flt str
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2CLIM1A
R3CLIM1A
R4CLIM1A
R5CLIM1A
R6CLIM1A
R7CLIM1A
R8CLIM1A
R9CLIM1A
R10CLIM1A
R11CLIM1A
R2CLIM1A:W2 R
R3CLIM1A:W3 R
R4CLIM1A:W4 R
R5CLIM1A:W5 R
R6CLIM1A:W6 R
R7CLIM1A:W7 R
R8CLIM1A:W8 R
R9CLIM1A:W9 R
R10CLIM1A:W10
R11CLIM1A:W11
Some Diff-Clmb 1
Some Diff-Clmb 1
Some Diff-Clmb 1
Some Diff-Clmb 1
Some Diff-Clmb 1
Some Diff-Clmb 1
Some Diff-Clmb 1
Some Diff-Clmb 1
R Some Diff-Clmb
R Some Diff-Clmb
flt stair
flt stair
flt stair
flt stair
flt stair
flt stair
flt stair
flt stair
1 flt stair
1 flt stair
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2CLIM1A
S3CLIM1A
S4CLIM1A
S5CLIM1A
S6CLIM1A
S7CLIM1A
S8CLIM1A
S9CLIM1A
S10CLIM1A
S11CLIM1A
S2CLIM1A:W2 S
S3CLIM1A:W3 S
S4CLIM1A:W4 S
S5CLIM1A:W5 S
S6CLIM1A:W6 S
S7CLIM1A:W7 S
S8CLIM1A:W8 S
S9CLIM1A:W9 S
S10CLIM1A:W10
S11CLIM1A:W11
Some Diff-Clmb 1
Some Diff-Clmb 1
Some Diff-Clmb 1
Some Diff-Clmb 1
Some Diff-Clmb 1
Some Diff-Clmb 1
Some Diff-Clmb 1
Some Diff-Clmb 1
S Some Diff-Clmb
S Some Diff-Clmb
flt stair
flt stair
flt stair
flt stair
flt stair
flt stair
flt stair
flt stair
1 flt stair
1 flt stair
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2STOOPA
R3STOOPA
R4STOOPA
R5STOOPA
R6STOOPA
R7STOOPA
R8STOOPA
R9STOOPA
R10STOOPA
R11STOOPA
R2STOOPA:W2 R
R3STOOPA:W3 R
R4STOOPA:W4 R
R5STOOPA:W5 R
R6STOOPA:W6 R
R7STOOPA:W7 R
R8STOOPA:W8 R
R9STOOPA:W9 R
R10STOOPA:W10
R11STOOPA:W11
Some Diff-Stoop/Kneel/Crch
Some Diff-Stoop/Kneel/Crch
Some Diff-Stoop/Kneel/Crch
Some Diff-Stoop/Kneel/Crch
Some Diff-Stoop/Kneel/Crch
Some Diff-Stoop/Kneel/Crch
Some Diff-Stoop/Kneel/Crch
Some Diff-Stoop/Kneel/Crch
R Some Diff-Stoop/Kneel/Crch
R Some Diff-Stoop/Kneel/Crch
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2STOOPA
S3STOOPA
S4STOOPA
S5STOOPA
S6STOOPA
S7STOOPA
S8STOOPA
S9STOOPA
S10STOOPA
S11STOOPA
S2STOOPA:W2 S
S3STOOPA:W3 S
S4STOOPA:W4 S
S5STOOPA:W5 S
S6STOOPA:W6 S
S7STOOPA:W7 S
S8STOOPA:W8 S
S9STOOPA:W9 S
S10STOOPA:W10
S11STOOPA:W11
Some Diff-Stoop/Kneel/Crch
Some Diff-Stoop/Kneel/Crch
Some Diff-Stoop/Kneel/Crch
Some Diff-Stoop/Kneel/Crch
Some Diff-Stoop/Kneel/Crch
Some Diff-Stoop/Kneel/Crch
Some Diff-Stoop/Kneel/Crch
Some Diff-Stoop/Kneel/Crch
S Some Diff-Stoop/Kneel/Crch
S Some Diff-Stoop/Kneel/Crch
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
R2LIFTA
R3LIFTA
R4LIFTA
R5LIFTA
R6LIFTA
R7LIFTA
R8LIFTA
R2LIFTA:W2
R3LIFTA:W3
R4LIFTA:W4
R5LIFTA:W5
R6LIFTA:W6
R7LIFTA:W7
R8LIFTA:W8
R
R
R
R
R
R
R
Some
Some
Some
Some
Some
Some
Some
Diff-Lift/carry
Diff-Lift/carry
Diff-Lift/carry
Diff-Lift/carry
Diff-Lift/carry
Diff-Lift/carry
Diff-Lift/carry
10lbs
10lbs
10lbs
10lbs
10lbs
10lbs
10lbs
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Section B: Health
379
9
10
11
R9LIFTA
R10LIFTA
R11LIFTA
R9LIFTA:W9 R Some Diff-Lift/carry 10lbs
R10LIFTA:W10 R Some Diff-Lift/carry 10lbs
R11LIFTA:W11 R Some Diff-Lift/carry 10lbs
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2LIFTA
S3LIFTA
S4LIFTA
S5LIFTA
S6LIFTA
S7LIFTA
S8LIFTA
S9LIFTA
S10LIFTA
S11LIFTA
S2LIFTA:W2 S
S3LIFTA:W3 S
S4LIFTA:W4 S
S5LIFTA:W5 S
S6LIFTA:W6 S
S7LIFTA:W7 S
S8LIFTA:W8 S
S9LIFTA:W9 S
S10LIFTA:W10
S11LIFTA:W11
Some Diff-Lift/carry 10lbs
Some Diff-Lift/carry 10lbs
Some Diff-Lift/carry 10lbs
Some Diff-Lift/carry 10lbs
Some Diff-Lift/carry 10lbs
Some Diff-Lift/carry 10lbs
Some Diff-Lift/carry 10lbs
Some Diff-Lift/carry 10lbs
S Some Diff-Lift/carry 10lbs
S Some Diff-Lift/carry 10lbs
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2DIMEA
R3DIMEA
R4DIMEA
R5DIMEA
R6DIMEA
R7DIMEA
R8DIMEA
R9DIMEA
R10DIMEA
R11DIMEA
R2DIMEA:W2 R
R3DIMEA:W3 R
R4DIMEA:W4 R
R5DIMEA:W5 R
R6DIMEA:W6 R
R7DIMEA:W7 R
R8DIMEA:W8 R
R9DIMEA:W9 R
R10DIMEA:W10
R11DIMEA:W11
Some Diff-Pick up a
Some Diff-Pick up a
Some Diff-Pick up a
Some Diff-Pick up a
Some Diff-Pick up a
Some Diff-Pick up a
Some Diff-Pick up a
Some Diff-Pick up a
R Some Diff-Pick up
R Some Diff-Pick up
dime
dime
dime
dime
dime
dime
dime
dime
a dime
a dime
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2DIMEA
S3DIMEA
S4DIMEA
S5DIMEA
S6DIMEA
S7DIMEA
S8DIMEA
S9DIMEA
S10DIMEA
S11DIMEA
S2DIMEA:W2 S
S3DIMEA:W3 S
S4DIMEA:W4 S
S5DIMEA:W5 S
S6DIMEA:W6 S
S7DIMEA:W7 S
S8DIMEA:W8 S
S9DIMEA:W9 S
S10DIMEA:W10
S11DIMEA:W11
Some Diff-Pick up a
Some Diff-Pick up a
Some Diff-Pick up a
Some Diff-Pick up a
Some Diff-Pick up a
Some Diff-Pick up a
Some Diff-Pick up a
Some Diff-Pick up a
S Some Diff-Pick up
S Some Diff-Pick up
dime
dime
dime
dime
dime
dime
dime
dime
a dime
a dime
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2ARMSA
R3ARMSA
R4ARMSA
R5ARMSA
R6ARMSA
R7ARMSA
R8ARMSA
R9ARMSA
R10ARMSA
R11ARMSA
R2ARMSA:W2 R
R3ARMSA:W3 R
R4ARMSA:W4 R
R5ARMSA:W5 R
R6ARMSA:W6 R
R7ARMSA:W7 R
R8ARMSA:W8 R
R9ARMSA:W9 R
R10ARMSA:W10
R11ARMSA:W11
Some Diff-Rch/xtnd arms up
Some Diff-Rch/xtnd arms up
Some Diff-Rch/xtnd arms up
Some Diff-Rch/xtnd arms up
Some Diff-Rch/xtnd arms up
Some Diff-Rch/xtnd arms up
Some Diff-Rch/xtnd arms up
Some Diff-Rch/xtnd arms up
R Some Diff-Rch/xtnd arms up
R Some Diff-Rch/xtnd arms up
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2ARMSA
S3ARMSA
S4ARMSA
S5ARMSA
S6ARMSA
S7ARMSA
S8ARMSA
S9ARMSA
S10ARMSA
S11ARMSA
S2ARMSA:W2 S
S3ARMSA:W3 S
S4ARMSA:W4 S
S5ARMSA:W5 S
S6ARMSA:W6 S
S7ARMSA:W7 S
S8ARMSA:W8 S
S9ARMSA:W9 S
S10ARMSA:W10
S11ARMSA:W11
Some Diff-Rch/xtnd arms up
Some Diff-Rch/xtnd arms up
Some Diff-Rch/xtnd arms up
Some Diff-Rch/xtnd arms up
Some Diff-Rch/xtnd arms up
Some Diff-Rch/xtnd arms up
Some Diff-Rch/xtnd arms up
Some Diff-Rch/xtnd arms up
S Some Diff-Rch/xtnd arms up
S Some Diff-Rch/xtnd arms up
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
R2PUSHA
R3PUSHA
R4PUSHA
R5PUSHA
R2PUSHA:W2
R3PUSHA:W3
R4PUSHA:W4
R5PUSHA:W5
Some
Some
Some
Some
Categ
Categ
Categ
Categ
R
R
R
R
Diff-Push/pull
Diff-Push/pull
Diff-Push/pull
Diff-Push/pull
lg
lg
lg
lg
obj
obj
obj
obj
Section B: Health
380
6
7
8
9
10
11
R6PUSHA
R7PUSHA
R8PUSHA
R9PUSHA
R10PUSHA
R11PUSHA
R6PUSHA:W6 R
R7PUSHA:W7 R
R8PUSHA:W8 R
R9PUSHA:W9 R
R10PUSHA:W10
R11PUSHA:W11
Some Diff-Push/pull lg obj
Some Diff-Push/pull lg obj
Some Diff-Push/pull lg obj
Some Diff-Push/pull lg obj
R Some Diff-Push/pull lg obj
R Some Diff-Push/pull lg obj
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2PUSHA
S3PUSHA
S4PUSHA
S5PUSHA
S6PUSHA
S7PUSHA
S8PUSHA
S9PUSHA
S10PUSHA
S11PUSHA
S2PUSHA:W2 S
S3PUSHA:W3 S
S4PUSHA:W4 S
S5PUSHA:W5 S
S6PUSHA:W6 S
S7PUSHA:W7 S
S8PUSHA:W8 S
S9PUSHA:W9 S
S10PUSHA:W10
S11PUSHA:W11
Some Diff-Push/pull lg obj
Some Diff-Push/pull lg obj
Some Diff-Push/pull lg obj
Some Diff-Push/pull lg obj
Some Diff-Push/pull lg obj
Some Diff-Push/pull lg obj
Some Diff-Push/pull lg obj
Some Diff-Push/pull lg obj
S Some Diff-Push/pull lg obj
S Some Diff-Push/pull lg obj
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R2WALKSA
R3WALKSA
R4WALKSA
R5WALKSA
R6WALKSA
R7WALKSA
R8WALKSA
R9WALKSA
R10WALKSA
R11WALKSA
19099
17417
20844
19007
17693
19585
18119
16879
21700
20332
0.26
0.28
0.28
0.29
0.32
0.30
0.32
0.33
0.31
0.32
0.44
0.45
0.45
0.45
0.47
0.46
0.47
0.47
0.46
0.47
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2WALKSA
S3WALKSA
S4WALKSA
S5WALKSA
S6WALKSA
S7WALKSA
S8WALKSA
S9WALKSA
S10WALKSA
S11WALKSA
12753
11667
13746
12485
11456
12750
11604
10521
13368
12408
0.20
0.22
0.22
0.24
0.26
0.24
0.26
0.26
0.25
0.26
0.40
0.42
0.42
0.43
0.44
0.43
0.44
0.44
0.43
0.44
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2JOGA
R3JOGA
R4JOGA
R5JOGA
R6JOGA
R7JOGA
R8JOGA
R9JOGA
R10JOGA
R11JOGA
10703
6413
7484
6222
6206
8112
8012
7436
12546
11496
0.70
0.58
0.58
0.58
0.66
0.62
0.65
0.64
0.56
0.56
0.46
0.49
0.49
0.49
0.48
0.48
0.48
0.48
0.50
0.50
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
8190
4835
5542
4619
4579
5980
5824
5287
0.70
0.57
0.57
0.57
0.64
0.61
0.63
0.63
0.46
0.49
0.49
0.50
0.48
0.49
0.48
0.48
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2JOGA
S3JOGA
S4JOGA
S5JOGA
S6JOGA
S7JOGA
S8JOGA
S9JOGA
Section B: Health
S10JOGA
S11JOGA
381
8611
7832
0.55
0.55
0.50
0.50
0.0
0.0
1.0
1.0
R2WALK1A
R3WALK1A
R4WALK1A
R5WALK1A
R6WALK1A
R7WALK1A
R8WALK1A
R9WALK1A
R10WALK1A
R11WALK1A
11071
17735
21160
19323
17965
19867
18283
17053
21790
20420
0.07
0.13
0.14
0.15
0.16
0.15
0.17
0.17
0.16
0.17
0.25
0.34
0.34
0.35
0.37
0.36
0.37
0.38
0.36
0.37
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2WALK1A
S3WALK1A
S4WALK1A
S5WALK1A
S6WALK1A
S7WALK1A
S8WALK1A
S9WALK1A
S10WALK1A
S11WALK1A
8472
11827
13903
12637
11565
12880
11677
10592
13404
12445
0.06
0.10
0.10
0.11
0.12
0.11
0.12
0.12
0.12
0.13
0.23
0.30
0.30
0.31
0.33
0.31
0.33
0.33
0.32
0.33
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2SITA
R3SITA
R4SITA
R5SITA
R6SITA
R7SITA
R8SITA
R9SITA
R10SITA
R11SITA
11391
17778
21139
19357
17978
19964
18340
17094
21789
20423
0.20
0.19
0.18
0.18
0.20
0.19
0.20
0.19
0.20
0.21
0.40
0.39
0.39
0.39
0.40
0.39
0.40
0.40
0.40
0.41
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2SITA
S3SITA
S4SITA
S5SITA
S6SITA
S7SITA
S8SITA
S9SITA
S10SITA
S11SITA
8715
11799
13847
12620
11532
12884
11673
10587
13385
12435
0.18
0.18
0.17
0.17
0.19
0.18
0.18
0.18
0.19
0.19
0.39
0.38
0.38
0.38
0.39
0.39
0.39
0.38
0.39
0.39
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2CHAIRA
R3CHAIRA
R4CHAIRA
R5CHAIRA
R6CHAIRA
R7CHAIRA
R8CHAIRA
R9CHAIRA
R10CHAIRA
R11CHAIRA
11409
17899
21303
19497
18115
20061
18418
17163
21849
20483
0.32
0.36
0.37
0.38
0.41
0.39
0.42
0.41
0.39
0.39
0.47
0.48
0.48
0.48
0.49
0.49
0.49
0.49
0.49
0.49
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2CHAIRA
S3CHAIRA
S4CHAIRA
S5CHAIRA
S6CHAIRA
8729
11874
13945
12700
11617
0.31
0.33
0.33
0.34
0.38
0.46
0.47
0.47
0.48
0.48
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
Section B: Health
382
S7CHAIRA
S8CHAIRA
S9CHAIRA
S10CHAIRA
S11CHAIRA
12941
11712
10623
13412
12461
0.36
0.38
0.38
0.36
0.35
0.48
0.49
0.48
0.48
0.48
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
R2CLIMSA
R3CLIMSA
R4CLIMSA
R5CLIMSA
R6CLIMSA
R7CLIMSA
R8CLIMSA
R9CLIMSA
R10CLIMSA
R11CLIMSA
11296
15784
18914
17303
16132
18200
17105
15828
21010
19621
0.34
0.42
0.42
0.43
0.47
0.45
0.49
0.48
0.46
0.47
0.47
0.49
0.49
0.50
0.50
0.50
0.50
0.50
0.50
0.50
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2CLIMSA
S3CLIMSA
S4CLIMSA
S5CLIMSA
S6CLIMSA
S7CLIMSA
S8CLIMSA
S9CLIMSA
S10CLIMSA
S11CLIMSA
8656
10732
12683
11549
10624
12042
11110
10008
13074
12125
0.31
0.38
0.37
0.39
0.42
0.40
0.43
0.43
0.41
0.42
0.46
0.48
0.48
0.49
0.49
0.49
0.49
0.49
0.49
0.49
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2CLIM1A
R3CLIM1A
R4CLIM1A
R5CLIM1A
R6CLIM1A
R7CLIM1A
R8CLIM1A
R9CLIM1A
R10CLIM1A
R11CLIM1A
19249
17200
20542
18735
17508
19423
17974
16710
21574
20184
0.18
0.17
0.17
0.18
0.19
0.19
0.20
0.20
0.19
0.20
0.39
0.38
0.38
0.39
0.39
0.39
0.40
0.40
0.40
0.40
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2CLIM1A
S3CLIM1A
S4CLIM1A
S5CLIM1A
S6CLIM1A
S7CLIM1A
S8CLIM1A
S9CLIM1A
S10CLIM1A
S11CLIM1A
12932
11573
13638
12390
11389
12706
11544
10479
13328
12360
0.14
0.13
0.13
0.14
0.14
0.14
0.15
0.15
0.15
0.15
0.35
0.34
0.34
0.35
0.35
0.35
0.36
0.36
0.35
0.36
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2STOOPA
R3STOOPA
R4STOOPA
R5STOOPA
R6STOOPA
R7STOOPA
R8STOOPA
R9STOOPA
R10STOOPA
R11STOOPA
11411
17665
20986
19193
17847
19705
18198
16943
21712
20313
0.35
0.41
0.41
0.42
0.46
0.45
0.48
0.49
0.46
0.46
0.48
0.49
0.49
0.49
0.50
0.50
0.50
0.50
0.50
0.50
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2STOOPA
S3STOOPA
8732
11775
0.33
0.37
0.47
0.48
0.0
0.0
1.0
1.0
Section B: Health
383
S4STOOPA
S5STOOPA
S6STOOPA
S7STOOPA
S8STOOPA
S9STOOPA
S10STOOPA
S11STOOPA
13784
12566
11516
12788
11629
10544
13364
12405
0.37
0.39
0.42
0.41
0.44
0.44
0.42
0.42
0.48
0.49
0.49
0.49
0.50
0.50
0.49
0.49
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2LIFTA
R3LIFTA
R4LIFTA
R5LIFTA
R6LIFTA
R7LIFTA
R8LIFTA
R9LIFTA
R10LIFTA
R11LIFTA
19376
16997
20360
18633
17364
19316
17887
16659
21522
20166
0.25
0.23
0.23
0.23
0.24
0.23
0.25
0.25
0.27
0.27
0.43
0.42
0.42
0.42
0.42
0.42
0.43
0.43
0.44
0.44
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2LIFTA
S3LIFTA
S4LIFTA
S5LIFTA
S6LIFTA
S7LIFTA
S8LIFTA
S9LIFTA
S10LIFTA
S11LIFTA
12992
11489
13542
12372
11339
12663
11528
10455
13312
12367
0.20
0.18
0.18
0.18
0.18
0.18
0.19
0.19
0.21
0.20
0.40
0.39
0.38
0.38
0.38
0.38
0.39
0.39
0.40
0.40
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2DIMEA
R3DIMEA
R4DIMEA
R5DIMEA
R6DIMEA
R7DIMEA
R8DIMEA
R9DIMEA
R10DIMEA
R11DIMEA
19607
17909
21282
19482
18099
20040
18413
17158
21839
20496
0.06
0.07
0.07
0.07
0.07
0.07
0.08
0.08
0.08
0.08
0.24
0.26
0.26
0.26
0.26
0.26
0.27
0.27
0.26
0.27
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2DIMEA
S3DIMEA
S4DIMEA
S5DIMEA
S6DIMEA
S7DIMEA
S8DIMEA
S9DIMEA
S10DIMEA
S11DIMEA
13074
11879
13939
12695
11614
12940
11721
10631
13411
12471
0.05
0.06
0.05
0.06
0.06
0.05
0.06
0.06
0.06
0.06
0.22
0.24
0.23
0.24
0.23
0.23
0.24
0.24
0.24
0.24
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2ARMSA
R3ARMSA
R4ARMSA
R5ARMSA
R6ARMSA
R7ARMSA
R8ARMSA
R9ARMSA
R10ARMSA
R11ARMSA
11411
17848
21234
19452
18063
20014
18375
17144
21833
20480
0.13
0.16
0.16
0.16
0.17
0.16
0.17
0.17
0.18
0.18
0.33
0.37
0.37
0.37
0.37
0.37
0.38
0.38
0.39
0.38
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Section B: Health
384
S2ARMSA
S3ARMSA
S4ARMSA
S5ARMSA
S6ARMSA
S7ARMSA
S8ARMSA
S9ARMSA
S10ARMSA
S11ARMSA
8735
11851
13921
12680
11598
12928
11703
10614
13410
12459
0.11
0.14
0.13
0.13
0.14
0.14
0.14
0.14
0.15
0.15
0.31
0.35
0.34
0.34
0.35
0.35
0.35
0.35
0.36
0.35
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2PUSHA
R3PUSHA
R4PUSHA
R5PUSHA
R6PUSHA
R7PUSHA
R8PUSHA
R9PUSHA
R10PUSHA
R11PUSHA
19178
16391
19668
18018
16818
18871
17553
16321
21361
19989
0.26
0.25
0.25
0.25
0.26
0.25
0.28
0.27
0.29
0.29
0.44
0.44
0.43
0.43
0.44
0.44
0.45
0.44
0.45
0.45
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2PUSHA
S3PUSHA
S4PUSHA
S5PUSHA
S6PUSHA
S7PUSHA
S8PUSHA
S9PUSHA
S10PUSHA
S11PUSHA
12908
11137
13149
12045
11050
12430
11362
10323
13238
12289
0.22
0.21
0.20
0.20
0.21
0.20
0.23
0.21
0.23
0.24
0.41
0.41
0.40
0.40
0.41
0.40
0.42
0.41
0.42
0.42
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Categorical Variable Codes
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2WALKSA
340
1
1
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.No
|
1.Yes
|
S2WALKSA
260
1
1
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2JOGA
55
8222
4
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
S2JOGA
40
4549
4
201
14211
4888
5970
584
73
10170
2583
658
3200
7503
R3WALKSA
4
1
2
35
532
12593
4824
R4WALKSA R5WALKSA R6WALKSA R7WALKSA R8WALKSA R9WALKSA
3
4
3
5
4
7
R10WALKSA R11WALKSA
11
19
5
25
507
15073
5771
7
128
188
15016
6684
3
23
542
13471
5536
7
462
12070
5623
4
9
526
13706
5879
3
7
336
12268
5851
1
7
323
11330
5549
5
18
180
13859
6473
S3WALKSA
1
1
1
10
5658
418
235
9058
2609
S4WALKSA S5WALKSA S6WALKSA S7WALKSA S8WALKSA S9WALKSA
2
2
3
1
3
S10WALKSA S11WALKSA
8
7
1
6
6869
537
225
10682
3064
1
5
6538
311
237
9515
2970
2
1
6777
380
216
9662
3088
2
1
6417
317
127
8567
3037
1
3
6306
220
178
8476
2980
6206
365
121
7756
2765
4
77
7795
722
60
10023
3345
1
4
7473
591
70
9188
3220
R3JOGA
2
R4JOGA
4
R5JOGA
4
R6JOGA
8
R7JOGA
10
R8JOGA
6
R9JOGA
14
R10JOGA
36
R11JOGA
23
5398
6178
2675
3738
6312
7584
3119
4365
6108
7245
2618
3604
6095
5856
2138
4068
1
6423
5583
3054
5058
1
6201
4249
2841
5171
5887
3880
2661
4775
3
7019
2430
5563
6983
1
6695
2339
5014
6482
S3JOGA
2
S4JOGA
1
S5JOGA
1
S6JOGA
6
S7JOGA
6
S8JOGA
4
S9JOGA
9
S10JOGA
24
S11JOGA
14
2857
3297
3215
3163
1
3310
3168
2890
2
3495
1
3302
Section B: Health
.U=Unmar
.V=Sp NR
.X=Dont do
0.No
1.Yes
385
|
|
|
|
|
5970
384
505
2491
5699
5658
418
4221
2058
2777
6869
537
5138
2359
3183
6538
311
4895
1988
2631
6306
220
3891
1640
2939
6777
380
3675
2304
3676
6417
317
2739
2132
3692
6206
365
2460
1945
3342
7795
722
1385
3905
4706
7473
591
1341
3507
4325
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2WALK1A R3WALK1A R4WALK1A
347
4
4
1
8222
2
2
5
35
25
214
190
10332
15368
18287
739
2367
2873
R5WALK1A R6WALK1A R7WALK1A R8WALK1A R9WALK1A
4
6
3
4
5
R10WALK1A R11WALK1A
10
18
3
23
226
16477
2846
7
128
99
18347
3443
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.No
|
1.Yes
|
S2WALK1A S3WALK1A S4WALK1A
265
1
2
4549
2
1
1
10
6
5970
5658
6869
384
418
537
76
66
7987
10658
12499
485
1169
1404
S5WALK1A S6WALK1A S7WALK1A S8WALK1A S9WALK1A
1
1
1
2
S10WALK1A S11WALK1A
5
9
1
5
6538
311
86
11245
1392
3
6306
220
70
10166
1399
1
1
6777
380
90
11470
1410
2
1
6417
317
54
10237
1440
1
1
6206
365
50
9269
1323
4
77
7795
722
27
11857
1547
4
7473
591
32
10882
1563
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2SITA
12
8222
1
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.No
|
1.Yes
|
S2SITA
12
4549
1
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2CHAIRA R3CHAIRA R4CHAIRA
7
4
1
1
8222
1
3
5
35
26
3
49
49
7742
11414
13524
3667
6485
7779
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.No
|
1.Yes
|
S2CHAIRA S3CHAIRA
6
1
1
4549
1
2
10
5970
5658
384
418
3
27
6060
7954
2669
3920
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2CLIMSA R3CLIMSA R4CLIMSA
34
9
19
8222
1
3
6
35
26
89
2160
2419
7507
9101
10957
3789
6683
7957
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
S2CLIMSA S3CLIMSA S4CLIMSA S5CLIMSA S6CLIMSA S7CLIMSA S8CLIMSA S9CLIMSA
21
5
10
12
8
22
16
9
4549
16
9166
2225
5970
384
11
7110
1605
7
187
15041
2924
3
9
247
16875
2992
3
7
172
15257
3026
1
8
150
14119
2934
4
18
94
16987
3433
R3SITA
4
R4SITA
6
R5SITA
7
R6SITA
7
R7SITA
7
R8SITA
8
R9SITA
5
R10SITA
18
R11SITA
13
2
35
172
14486
3292
5
26
208
17275
3864
3
23
189
15790
3567
7
173
14405
3573
6
10
142
16112
3852
3
7
111
14718
3622
1
8
109
13786
3308
9
129
89
17349
4440
3
18
97
16186
4237
S3SITA
1
S4SITA
S5SITA
2
S6SITA
1
S7SITA
4
S8SITA
5
S9SITA
1
S10SITA
5
S11SITA
6
1
10
5658
418
104
9700
2099
1
7
6869
537
123
11450
2397
1
5
6538
311
102
10457
2163
3
6306
220
103
9372
2160
3
1
6777
380
80
10519
2365
2
1
6417
317
54
9527
2146
1
1
6206
365
56
8704
1883
4
78
7795
722
45
10874
2511
4
7473
591
45
10097
2338
R5CHAIRA R6CHAIRA R7CHAIRA R8CHAIRA R9CHAIRA
6
9
9
7
4
R10CHAIRA R11CHAIRA
19
31
3
23
50
12143
7354
10
129
27
13238
8611
7
34
10715
7400
5
10
44
12243
7818
3
7
34
10707
7711
2
8
40
10043
7120
2
18
20
12465
8018
S4CHAIRA S5CHAIRA S6CHAIRA S7CHAIRA S8CHAIRA S9CHAIRA
3
4
4
6
2
S10CHAIRA S11CHAIRA
12
18
1
7
6869
537
25
9309
4636
4
78
7795
722
11
8571
4841
1
5
6538
311
21
8321
4379
3
6306
220
15
7254
4363
3
1
6777
380
23
8269
4672
2
1
6417
317
14
7240
4472
2
1
6206
365
18
6622
4001
4
7473
591
7
8043
4418
R5CLIMSA R6CLIMSA R7CLIMSA R8CLIMSA R9CLIMSA
22
17
39
34
22
R10CLIMSA R11CLIMSA
60
38
3
23
2228
9791
7512
10
129
825
11269
9741
7
2009
8524
7608
5
10
1875
9966
8234
5
7
1318
8808
8297
1
8
1358
8177
7651
2
18
875
10430
9191
S10CLIMSA S11CLIMSA
29
18
Section B: Health
.R=RF
.S=Skip
.U=Unmar
.V=Sp NR
.X=Dont do
0.No
1.Yes
386
|
|
|
|
|
|
|
1
5970
384
61
5965
2691
2
10
5658
418
1166
6697
4035
1
7
6869
537
1277
7957
4726
1
5
6538
311
1163
7081
4468
3
6306
220
1004
6189
4435
3
1
6777
380
904
7230
4812
3
1
6417
317
605
6360
4750
1
1
6206
365
627
5744
4264
5
78
7795
722
331
7690
5384
4
7473
591
343
7083
5042
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2CLIM1A R3CLIM1A R4CLIM1A
94
6
8
1
1
4
6
35
26
297
746
802
15709
14272
17032
3540
2928
3510
R5CLIM1A R6CLIM1A R7CLIM1A R8CLIM1A R9CLIM1A
13
11
20
14
10
R10CLIM1A R11CLIM1A
32
21
3
23
805
15323
3412
7
129
292
17390
4184
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.No
|
1.Yes
|
S2CLIM1A S3CLIM1A S4CLIM1A
66
3
4
1
1
3
1
10
7
5970
5658
6869
584
418
537
88
326
328
11144
10066
11833
1788
1507
1805
S5CLIM1A S6CLIM1A S7CLIM1A S8CLIM1A S9CLIM1A
7
4
6
7
5
S10CLIM1A S11CLIM1A
9
13
1
5
6538
311
327
10653
1737
3
78
7795
722
99
11379
1949
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2STOOPA R3STOOPA R4STOOPA
4
7
5
8222
1
4
6
35
26
4
280
361
7429
10503
12436
3982
7162
8550
R5STOOPA R6STOOPA R7STOOPA R8STOOPA R9STOOPA
5
11
16
11
8
R10STOOPA R11STOOPA
26
29
4
23
354
11054
8139
10
131
155
11629
10083
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.No
|
1.Yes
|
S2STOOPA S3STOOPA S4STOOPA
3
2
3
4549
1
3
1
10
7
5970
5658
6869
384
418
537
3
125
183
5858
7439
8693
2874
4336
5091
S5STOOPA S6STOOPA S7STOOPA S8STOOPA S9STOOPA
1
3
4
3
3
S10STOOPA S11STOOPA
9
17
2
5
6538
311
156
7669
4897
3
6306
220
117
6646
4870
3
1
6777
380
176
7561
5227
2
1
6417
317
100
6521
5108
1
1
6206
365
97
5861
4683
4
79
7795
722
61
7690
5674
2
4
7473
591
62
7190
5215
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2LIFTA
10
1
2
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.No
|
1.Yes
|
S2LIFTA
7
1
2
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2DIMEA
11
1
2
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
S2DIMEA
5
1
2
253
14504
4872
5970
584
86
10406
2586
21
18373
1234
7
639
14161
3347
3
6306
220
243
9758
1631
7
300
9602
8245
5
10
671
15756
3667
3
1
6777
380
256
10894
1812
5
10
393
10836
8869
2
7
472
14350
3624
2
1
6417
317
181
9788
1756
3
7
250
9439
8759
1
8
488
13348
3362
1
1
6206
365
160
8922
1557
1
8
257
8713
8230
3
18
328
16095
4089
1
4
7473
591
112
10452
1908
4
18
190
10945
9368
R3LIFTA
3
R4LIFTA
6
R5LIFTA
7
R6LIFTA
7
R7LIFTA
12
R8LIFTA
7
R9LIFTA
7
R10LIFTA
17
R11LIFTA
17
4
35
952
13089
3908
7
27
984
15686
4674
5
23
911
14321
4312
7
787
13257
4107
4
10
787
14844
4472
2
7
566
13476
4411
1
9
541
12449
4210
9
131
355
15811
5711
4
18
349
14820
5346
S3LIFTA
S4LIFTA
2
S5LIFTA
1
S6LIFTA
2
S7LIFTA
2
S8LIFTA
1
S9LIFTA
1
S10LIFTA
8
S11LIFTA
8
3
10
5658
418
413
9406
2083
1
7
6869
537
426
11123
2419
3
5
6538
311
349
10167
2205
3
6306
220
295
9352
1987
2
1
6777
380
304
10431
2232
1
1
6417
317
204
9388
2140
1
2
6206
365
187
8501
1954
4
79
7795
722
114
10576
2736
2
4
7473
591
109
9870
2497
R3DIMEA
5
R4DIMEA
13
R5DIMEA
17
R6DIMEA
18
R7DIMEA
28
R8DIMEA
21
R9DIMEA
20
R10DIMEA
31
R11DIMEA
17
3
35
39
16590
1319
6
28
55
19782
1500
4
23
53
18045
1437
7
41
16764
1335
4
10
47
18610
1430
2
7
26
16952
1461
1
9
29
15751
1407
8
131
25
20187
1652
1
18
22
18888
1608
S3DIMEA
1
S4DIMEA
5
S5DIMEA
4
S6DIMEA
6
S7DIMEA
8
S8DIMEA
5
S9DIMEA
3
S10DIMEA
13
S11DIMEA
4
2
1
2
2
1
1
3
Section B: Health
.S=Skip
.U=Unmar
.V=Sp NR
.X=Dont do
0.No
1.Yes
387
|
|
|
|
|
|
5970
584
6
12418
656
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2ARMSA
8
8222
1
Value----------------------|
.D=DK/NA
|
.Q=Not asked this wv
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.No
|
1.Yes
|
S2ARMSA
3
4549
1
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.X=Dont do
|
0.No
|
1.Yes
|
R2PUSHA
9
1
3
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
.X=Dont do
|
0.No
|
1.Yes
|
S2PUSHA
6
1
2
9972
1439
5970
384
7769
966
451
14115
5063
5970
584
171
10098
2810
10
5658
418
23
11170
709
7
6869
537
26
13178
761
5
6538
311
24
11950
745
3
6306
220
16
10965
649
1
6777
380
21
12240
700
1
6417
317
7
10985
736
2
6206
365
9
9977
654
79
7795
722
11
12615
796
4
7473
591
11
11718
753
R3ARMSA
4
R4ARMSA
8
R5ARMSA
13
R6ARMSA
13
R7ARMSA
14
R8ARMSA
10
R9ARMSA
9
R10ARMSA
17
R11ARMSA
12
3
35
101
14909
2939
6
27
109
17856
3378
5
23
86
16341
3111
7
82
15024
3039
5
10
86
16761
3253
3
7
74
15218
3157
1
8
55
14211
2933
10
131
43
17822
4011
1
18
43
16779
3701
S3ARMSA
2
S4ARMSA
4
S5ARMSA
6
S6ARMSA
3
S7ARMSA
4
S8ARMSA
4
S9ARMSA
3
S10ARMSA
9
S11ARMSA
8
2
10
5658
418
50
10177
1674
1
7
6869
537
45
12051
1870
3
5
6538
311
36
10971
1709
3
6306
220
35
9950
1648
3
1
6777
380
36
11132
1796
1
1
6417
317
26
10010
1693
1
1
6206
365
27
9146
1468
4
79
7795
722
15
11381
2029
4
7473
591
19
10619
1840
R3PUSHA
4
1
4
35
1556
12225
4166
R4PUSHA
6
R5PUSHA
10
R6PUSHA
8
R7PUSHA
15
R8PUSHA
15
R9PUSHA
10
R10PUSHA
16
R11PUSHA
17
6
27
1677
14799
4869
5
23
1523
13547
4471
7
1332
12373
4445
6
10
1227
14065
4806
2
7
892
12620
4933
1
8
877
11889
4432
9
131
517
15174
6187
4
18
526
14182
5807
S3PUSHA
S4PUSHA
3
S5PUSHA
2
S6PUSHA
6
S7PUSHA
6
S8PUSHA
6
S9PUSHA
5
S10PUSHA
5
S11PUSHA
10
3
10
5658
418
765
8757
2380
1
7
6869
537
818
10456
2693
3
5
6538
311
675
9578
2467
3
6306
220
580
8764
2286
4
1
6777
380
531
9887
2543
1
1
6417
317
365
8805
2557
1
1
6206
365
316
8123
2200
4
79
7795
722
191
10131
3107
1
4
7473
591
186
9395
2894
How Constructed:
These variables recode raw data about difficulty with activities other than activities of daily living
(ADLs) and instrumental activities of daily living (IADLs) as yes/no dummy variables, where 1 means some
difficulty and 0 means not. These other activities include walking several blocks (RwWALKSA), jogging
one mile (RwJOG), walking one block (RwWALK1A), sitting for about 2 hours (RwSITA), getting up from a
chair after sitting for long periods (RwCHAIRA), climbing several flights of stairs without resting
(RwCLIMSA), climbing one flight of stairs without resting (RwCLIM1A), lifting or carrying weights over 10
lbs (RwLIFTA), stooping kneeling, or crouching (RwSTOOPA), reaching arms above shoulder level (RwARMSA),
pushing or pulling large objects (RwPUSHA), and picking up a dime from the table (RwDIMEA). In the
following, references to Rw[func]A apply to all these variables. Note that questions used to derive
RwJOGA, RwWALK1A, RwCLIMSA, RwSITA, RwCHAIRA, RwSTOOPA, and RwARMSA are not asked in Wave 2A. These
variables are set to .Q in Wave 2 for Ahead respondents.
We attempt to make consistent variables across waves. Because of significant differences in question
wording in Wave 1, we do not include these variables for this interview year. There are other cross wave
differences in the way HRS presented these questions in Wave 2H and 2A and the later waves, that may
introduce measurement errors in these variables. In particular, there are far fewer "don't do" responses
for many activities in Wave 2H than in other waves. In addition the criteria used for skipping some
questions was different in Wave 2A, which may influence the consistency of measurement for R2WALKSA,
R2CLIM1A, and R2PUSHA.
The variable derivations for some difficulty (Rw[func]A) vary across waves because the question and
responses can vary across waves. In Wave 2, if a respondent answers "yes" to the first question ("Do you
have any difficulty with ...") Rw[func]A is set to 1 for some difficulty, regardless of how much
difficulty the respondent says he/she has in the follow-up question. From Wave 3 forward, if a
Section B: Health
388
respondent answers "yes" or "can't do" to the any difficulty question, Rw[func]A is set to 1 for some
difficulty.
In all waves, if the respondent answers "no" to the any difficulty question, Rw[func]A is set to zero. A
"don't do" response is recoded to missing value .X, since the respondent hasn't revealed whether he/she
would have difficulty with the activity if he/she ever did it. If the response is don’t know or refuse
Rw[func]A is set to special missing codes .D or .R, respectively.
In Wave 2A, if the response to the difficulty question is "don't do" a follow-up question asks if this is
because of health. If it is because of health, then R2[func]A is set to 1 for difficulty. Otherwise it
is set to .X for "don't do".
In some waves, questions about activities are skipped based on answers to previous questions. In Wave 2H,
if a respondent said no difficulty jogging a mile, then the questions about walking several blocks and
walking one block are skipped. In these cases, R2WALKSA and R2WALK1A are set to 0 for no difficulty. In
Wave 2H and from Wave 3 forward, if no difficulty is reported for walking several blocks, the question
about walking one block is skipped, and RwWALK1A is set to 0 for no difficulty. Similarly if no
difficulty is reported for climbing several flights of stairs, RwCLIM1A is set to 0 for no difficulty
climbing one flight of stairs. In Wave 2A, if the respondent reported needing help to get across a room,
the questions about walking several blocks, climbing a flight of stairs, and pushing large objects are
skipped. In these cases, difficulty with these tasks is assumed, so R2WALKSA, R2CLIM1A, and R2PUSHA are
set to 1.
The spouse variables are taken from the spouse's self-reported Wave 'w' data. If R is not married,
spouse variables are set to .U=unmarried. If R's spouse did not respond then the variables are set to
.V=Spouse is non-response.
Some of these variables are used to construct a functional limitation indices.
Indices".
Please see "Other Summary
Another version of these variables simply recode the raw HRS variables. Please see the description of
the Rw[func] variables under "Other functional limitations: Raw recodes" for this version.
A third version of these variables are derived for Wave 1 only (R1[func]W). They codes a yes/no dummy
that indicates "any difficulty" in a manner used by Wallace and Herzog in their paper. These are
provided for comparison to the results found in that paper. Please see "Other functional limitations:
Recodes for comparison to Wallace and Herzog" for a description of the R1[func]W variables. Note that
the Wallace and Herzog variables result in more limitation than the 0/1 recodes described here for other
waves (Rw[func]A) solely due to measurement differences in the raw data. The R1[func]W variables are not
appropriate for comparison to the Rw[func]A variables in other waves.
Cross Wave Differences in Original HRS Data
In all waves questions ask about a number of activities, such as climbing stairs or picking up a dime,
but the question wording and possible answers vary. In Waves 1 and 2H questions about activities of
daily living (ADLs) are embedded among those about other functional limitations. This description
applies to the other functional limitations. The Wave 1 questions ask:
We are interested in how much difficulty people have with various activities because of a health or
physical problem. Please look at the answer categories at the top of page one of the booklet and tell me
how difficult each activity is for you. Exclude any difficulties that you expect to last less than three
months. How difficult is it for you to [...]? Is it not at all difficult, a little difficult, somewhat
difficult, very difficult, or something that you can't do at all?
The respondent can also answer "Don't do". The answers translate into 4 codes: 1 for not at all
difficult, 2 for a little difficult, 3 for somewhat difficult, and 4 for very difficult/can't do.
Another code is used for the "Don't do" response. The first question asks how difficult it is to run or
jog a mile. The specific wording for the other functional limitations (besides ADLs) is: walk several
blocks; walk one block; sit for about 2 hours; get up from a chair after sitting for long periods; climb
several flights of stairs without resting; climb one flight of stairs without resting; lift or carry
weights over 10 lbs like a heavy bag of groceries; stoop, kneel, or crouch; pick up a dime from the
table; reach or extend your arms above shoulder level; and push or pull large objects like a living room
chair. If the respondent says s/he has no difficulty with running a mile, then all the questions about
Section B: Health
389
walking, including several blocks, one block, and across a room, are skipped. If no difficulty is
reported for walking several blocks then the questions about walking one block or across a room are
skipped, and if no difficulty is reported for walking one block, the question about walking across a room
is skipped. Likewise if no difficulty climbing several flights of stairs is reported, the question about
climbing one flight of stairs is skipped.
In Wave 2H the questions and answers differ.
The questions ask:
We are interested in how much difficulty people have with various activities because of a health or
physical problem. Please tell me how difficult each of the following activities is for you. Exclude any
difficulties that you expect to last less than three months. Do you have any difficulty with ...? [IF
YES] Is that a little difficulty or a lot of difficulty?
In the data the answers to the 2-part question are recoded into 5-categories: 1=yes, a little difficult;
2=yes, a lot; 3=yes, DK; 4=yes, RF; 5=No; 6=doesn't do. Note that there is no "Can't do" category and
that "Don't do" is not an option in the instrument. The "Doesn't do" category is likely the result of
post-interview interpretation of interview comments so may be observed less frequently than in other
waves, simply because of questionnaire differences. The number of "Don’t do" responses is much larger in
other waves for most activities. For example, only 16 and 91 say "don’t do" for sitting for 2 hours and
climbing several flights of stairs in Wave 2H, but 87 and 736 have this response in Wave 3H,
respectively. The specific wording for these activities and the question skips for walking and climbing
stairs are the same as in Wave 1.
In Wave 2A, the questions are different from other waves and the list of activities is shorter. Also the
ADL questions are asked first as a group. The questions about functional difficulties besides ADLs and
IADLs ask:
Do you have any difficulty ...?
little, or a lot of difficulty?
problem?
Answers may be yes, no, can’t do and don’t do. [If YES]: Is that a
[If DON’T DO to the first question]: Is that because of a health
The specific wording for these activities is: walking several blocks; climbing one flight of stairs
without resting; pushing or pulling large objects like a living room chair; lifting or carrying weights
over 10 lbs like a heavy bag of groceries; and picking up a dime from the table. If the respondent
reports needing help getting across a room earlier in the interview, then the questions about walking
several blocks, climbing stairs, and pushing large objects are skipped.
From Wave 3 forward, the questions about ADLs and IADLs are asked after those about the other activities
described here. The questions ask:
We need to understand difficulties people may have with various activities because of a health or
physical problem. Please tell me whether you have any difficulty doing each of the everyday activities
that I read to you. Exclude any difficulties that you expect to last less than three months. Because of
a health problem do you have any difficulty with ...?
The answers to the difficulty questions are simply yes, no, can't do, or don't do. The exact wording for
these activities is: walking several blocks; running or jogging about a mile; across a room; walking one
block; sitting for about 2 hours; getting up from a chair after sitting for long periods; climbing
several flights of stairs without resting; climbing one flight of stairs without resting; stooping,
kneeling, or crouching; reaching or extending your arms above shoulder level; pushing or pulling large
objects like a living room chair; lifting or carrying weights over 10 lbs like a heavy bag of groceries;
and picking up a dime from the table. If the respondent reports no difficulty to walking several block,
then the question about running a mile is asked, and the question about walking one block is skipped.
The question about climbing one flight of stairs is skipped if no difficulty is reported for climbing
several flights of stairs.
Beginning in Wave 7, the interviewer may also say the following if the respondent is in a nursing home or
confined to bed or a wheelchair, before asking about these activities:
I am required to ask about all of these activities. I realize that you may not be able to do some of
them, but I would appreciate it if you would just confirm that with me as we go through the list.
Section B: Health
390
HRS Variables Used
AHEAD 1993:
B768
B852
B865
B872
B879
B882
HRS 1994:
W306
W307
W308
W311
W313
W314
W315
W316
W317
W319
W320
AHEAD 1995:
D1834
D1837
D1840
D1843
D1846
D1849
D1852
D1855
D1858
D1861
D1864
D1867
HRS 1996:
E1858
E1861
E1864
E1867
E1870
E1873
E1876
E1879
E1882
E1885
E1888
E1891
HRS 1998:
F2391
F2392
F2394
F2397
F2400
F2403
F2406
F2409
F2412
F2415
F2418
F2421
HRS 2000:
G2689
G2690
E33.
E47.
E48.
E49.
E50.
E51.
ADL WALK HELP EVER
WALK SEV BLOCKS ANY DIFFICULTY
STAIR CLIMB ANY DIFFICULTY
HEAVY OBJ ANY DIFFICULTY
LIFT 10 LBS ANY DIFFICULTY
PICK UP DIME ANY DIFFICULTY
B4.RUNNING/JOGGING 1 MIL
B4a.WALKING SEVERAL BLOC
B4b.WALKING ONE BLOCK
B4e.GETTING UP AFTER SIT
B4g.CLIMBING SEVERAL FLI
B4h.CLIMBING ONE FLIGHT
B4j.LIFTING OR CARRYING
B4k.STOOPING/KNEELING/CR
B4m.PICKING UP A DIME
B4p.EXTENDING ARMS ABOVE
B4q.PULLING/PUSHING LARG
E60.DIFF-SEV BLKS
E61.DIFF-JOG
E62.DIFF-1 BLK
E63.DIFF-SIT
E64.DIFF-CHAIR
E65.DIFF-STAIRS
E66.DIFF-1 STAIR
E67.DIFF-STOOP
E68.DIFF-REACH
E69.DIFF-PULL PUSH
E70.E70.DIFF-WEIGHTS
E71.PICK DIME
E60.DIFF-SEV BLKS
E61.DIFF-JOG
E62.DIFF-1 BLK
E63.DIFF-SIT
E64.DIFF-CHAIR
E65.DIFF-STAIRS
E66.DIFF-1 STAIR
E67.DIFF-STOOP
E68.DIFF-REACH
E69.DIFF-PULL PUSH
E70.DIFF-WEIGHTS
E71.PICK DIME
E60.DIFF-SEV BLKS
E61.DIFF-JOG
E62.DIFF-1 BLK
E63.DIFF-SIT
E64.DIFF-CHAIR
E65.DIFF-STAIRS
E66.DIFF-1 STAIR
E67.DIFF-STOOP
E68.DIFF-REACH
E69.DIFF-PULL PUSH
E70.DIFF-WEIGHTS
E71.PICK DIME
E60.DIFF-SEV BLKS
E61.DIFF-JOG
Section B: Health
HRS
HRS
HRS
HRS
HRS
G2692
G2695
G2698
G2701
G2704
G2707
G2710
G2713
G2716
G2719
2002:
HG001
HG002
HG003
HG004
HG005
HG006
HG007
HG008
HG009
HG010
HG011
HG012
2004:
JG001
JG002
JG003
JG004
JG005
JG006
JG007
JG008
JG009
JG010
JG011
JG012
2006:
KG001
KG002
KG003
KG004
KG005
KG006
KG007
KG008
KG009
KG010
KG011
KG012
2008:
LG001
LG002
LG003
LG004
LG005
LG006
LG007
LG008
LG009
LG010
LG011
LG012
2010:
391
E62.DIFF-1 BLK
E63.DIFF-SIT
E64.DIFF-CHAIR
E65.DIFF-STAIRS
E66.DIFF-1 STAIR
E67.DIFF-STOOP
E68.DIFF-REACH
E69.DIFF-PULL PUSH
E70.DIFF-WEIGHTS
E71.PICK DIME
DIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTY-
WALKING SEVERAL BLOCKS
JOGGING 1 MILE
WALKING 1 BLOCK
SITTING 2 HOURS
GETTING UP FROM CHAIR
CLIMBING STAIRS
CLIMBING 1 FLIGHT OF STAIRS
STOOPING
REACHING ARMS
PULL/PUSH LARGE OBJECTS
LIFTING WEIGHTS
PICKING UP DIME
DIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTY-
WALKING SEVERAL BLOCKS
JOGGING 1 MILE
WALKING 1 BLOCK
SITTING 2 HOURS
GETTING UP FROM CHAIR
CLIMBING STAIRS
CLIMBING 1 FLIGHT OF STAIRS
STOOPING
REACHING ARMS
PULL/PUSH LARGE OBJECTS
LIFTING WEIGHTS
PICKING UP DIME
DIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTY-
WALKING SEVERAL BLOCKS
JOGGING 1 MILE
WALKING 1 BLOCK
SITTING 2 HOURS
GETTING UP FROM CHAIR
CLIMBING STAIRS
CLIMBING 1 FLIGHT OF STAIRS
STOOPING
REACHING ARMS
PULL/PUSH LARGE OBJECTS
LIFTING WEIGHTS
PICKING UP DIME
DIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTY-
WALKING SEVERAL BLOCKS
JOGGING 1 MILE
WALKING 1 BLOCK
SITTING 2 HOURS
GETTING UP FROM CHAIR
CLIMBING STAIRS
CLIMBING 1 FLIGHT OF STAIRS
STOOPING
REACHING ARMS
PULL/PUSH LARGE OBJECTS
LIFTING WEIGHTS
PICKING UP DIME
Section B: Health
MG001
MG002
MG003
MG004
MG005
MG006
MG007
MG008
MG009
MG010
MG011
MG012
HRS 2012:
NG001
NG002
NG003
NG004
NG005
NG006
NG007
NG008
NG009
NG010
NG011
NG012
392
DIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTY-
WALKING SEVERAL BLOCKS
JOGGING 1 MILE
WALKING 1 BLOCK
SITTING 2 HOURS
GETTING UP FROM CHAIR
CLIMBING STAIRS
CLIMBING 1 FLIGHT OF STAIRS
STOOPING
REACHING ARMS
PULL/PUSH LARGE OBJECTS
LIFTING WEIGHTS
PICKING UP DIME
DIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTYDIFFICULTY-
WALKING SEVERAL BLOCKS
JOGGING 1 MILE
WALKING 1 BLOCK
SITTING 2 HOURS
GETTING UP FROM CHAIR
CLIMBING STAIRS
CLIMBING 1 FLIGHT OF STAIRS
STOOPING
REACHING ARMS
PULL/PUSH LARGE OBJECTS
LIFTING WEIGHTS
PICKING UP DIME
Section B: Health
393
Other Functional Limitations: Recodes for comparison to Wallace and Herzog
Wave
Variable
Label
Type
1
R1WALKSW
R1WALKSW:W1 R Any Diff-Walk sev blocks
Categ
1
S1WALKSW
S1WALKSW:W1 S Any Diff-Walk sev blocks
Categ
1
R1JOGW
R1JOGW:W1 R Any Diff-Jog one mile
Categ
1
S1JOGW
S1JOGW:W1 S Any Diff-Jog one mile
Categ
1
R1WALK1W
R1WALK1W:W1 R Any Diff-Walk one block
Categ
1
S1WALK1W
S1WALK1W:W1 S Any Diff-Walk one block
Categ
1
R1SITW
R1SITW:W1 R Any Diff-Sit for 2 hours
Categ
1
S1SITW
S1SITW:W1 S Any Diff-Sit for 2 hours
Categ
1
R1CHAIRW
R1CHAIRW:W1 R Any Diff-Get up fr chair
Categ
1
S1CHAIRW
S1CHAIRW:W1 S Any Diff-Get up fr chair
Categ
1
R1CLIMSW
R1CLIMSW:W1 R Any Diff-Climb sev flt str
Categ
1
S1CLIMSW
S1CLIMSW:W1 S Any Diff-Climb sev flt str
Categ
1
R1CLIM1W
R1CLIM1W:W1 R Any Diff-Climb 1 flt stair
Categ
1
S1CLIM1W
S1CLIM1W:W1 S Any Diff-Climb 1 flt stair
Categ
1
R1STOOPW
R1STOOPW:W1 R Any Diff-Stoop/Kneel/Crouch
Categ
1
S1STOOPW
S1STOOPW:W1 S Any Diff-Stoop/Kneel/Crouch
Categ
1
R1LIFTW
R1LIFTW:W1 R Any Diff-Lift/carry 10lbs
Categ
1
S1LIFTW
S1LIFTW:W1 S Any Diff-Lift/carry 10lbs
Categ
1
R1DIMEW
R1DIMEW:W1 R Any Diff-Pick up a dime
Categ
1
S1DIMEW
S1DIMEW:W1 S Any Diff-Pick up a dime
Categ
1
R1ARMSW
R1ARMSW:W1 R Any Diff-Reach/xtnd arms up
Categ
1
S1ARMSW
S1ARMSW:W1 S Any Diff-Reach/xtnd arms up
Categ
1
R1PUSHW
R1PUSHW:W1 R Any Diff-Push/pull lg obj
Categ
1
S1PUSHW
S1PUSHW:W1 S Any Diff-Push/pull lg obj
Categ
Descriptive Statistics
Variable
N
R1WALKSW
12471
0.24
0.43
0.0
1.0
S1WALKSW
9785
0.23
0.42
0.0
1.0
10441
0.82
0.38
0.0
1.0
R1JOGW
Mean
Std Dev
Minimum
Maximum
Section B: Health
S1JOGW
394
8260
0.82
0.39
0.0
1.0
R1WALK1W
12586
0.10
0.31
0.0
1.0
S1WALK1W
9860
0.09
0.29
0.0
1.0
R1SITW
12586
0.29
0.45
0.0
1.0
S1SITW
9852
0.28
0.45
0.0
1.0
R1CHAIRW
12626
0.35
0.48
0.0
1.0
S1CHAIRW
9883
0.34
0.48
0.0
1.0
R1CLIMSW
12352
0.48
0.50
0.0
1.0
S1CLIMSW
9702
0.47
0.50
0.0
1.0
R1CLIM1W
12565
0.18
0.38
0.0
1.0
S1CLIM1W
9848
0.16
0.37
0.0
1.0
R1STOOPW
12579
0.42
0.49
0.0
1.0
S1STOOPW
9857
0.41
0.49
0.0
1.0
R1LIFTW
12523
0.25
0.43
0.0
1.0
S1LIFTW
9817
0.22
0.42
0.0
1.0
R1DIMEW
12643
0.06
0.24
0.0
1.0
S1DIMEW
9894
0.06
0.23
0.0
1.0
R1ARMSW
12636
0.12
0.32
0.0
1.0
S1ARMSW
9890
0.11
0.31
0.0
1.0
R1PUSHW
12489
0.26
0.44
0.0
1.0
S1PUSHW
9794
0.24
0.43
0.0
1.0
Categorical Variable Codes
Value----------------------|R1WALKSW
.X=Dont do
|181
0.No
|9441
1.Yes
|3030
Value----------------------|S1WALKSW
.U=Unmar
|2373
.V=Sp NR
|379
.X=Dont do
|115
0.No
|7551
1.Yes
|2234
Value----------------------|R1JOGW
.X=Dont do
|2211
0.No
|1854
1.Yes
|8587
Value----------------------|S1JOGW
.U=Unmar
|2373
.V=Sp NR
|379
.X=Dont do
|1640
0.No
|1495
Section B: Health
1.Yes
395
|6765
Value----------------------|R1WALK1W
.X=Dont do
|66
0.No
|11271
1.Yes
|1315
Value----------------------|S1WALK1W
.U=Unmar
|2373
.V=Sp NR
|379
.X=Dont do
|40
0.No
|8949
1.Yes
|911
Value----------------------|R1SITW
.X=Dont do
|66
0.No
|8943
1.Yes
|3643
Value----------------------|S1SITW
.U=Unmar
|2373
.V=Sp NR
|379
.X=Dont do
|48
0.No
|7049
1.Yes
|2803
Value----------------------|R1CHAIRW
.X=Dont do
|26
0.No
|8152
1.Yes
|4474
Value----------------------|S1CHAIRW
.U=Unmar
|2373
.V=Sp NR
|379
.X=Dont do
|17
0.No
|6476
1.Yes
|3407
Value----------------------|R1CLIMSW
.X=Dont do
|300
0.No
|6369
1.Yes
|5983
Value----------------------|S1CLIMSW
.U=Unmar
|2373
.V=Sp NR
|379
.X=Dont do
|198
0.No
|5188
1.Yes
|4514
Value----------------------|R1CLIM1W
.X=Dont do
|87
0.No
|10323
1.Yes
|2242
Value----------------------|S1CLIM1W
.U=Unmar
|2373
.V=Sp NR
|379
.X=Dont do
|52
0.No
|8259
1.Yes
|1589
Value----------------------|R1STOOPW
.X=Dont do
|73
0.No
|7258
1.Yes
|5321
Value----------------------|S1STOOPW
.U=Unmar
|2373
.V=Sp NR
|379
.X=Dont do
|43
0.No
|5832
1.Yes
|4025
Value----------------------|R1LIFTW
.X=Dont do
|129
0.No
|9451
1.Yes
|3072
Value----------------------|S1LIFTW
.U=Unmar
|2373
Section B: Health
.V=Sp NR
.X=Dont do
0.No
1.Yes
396
|379
|83
|7633
|2184
Value----------------------|R1DIMEW
.X=Dont do
|9
0.No
|11836
1.Yes
|807
Value----------------------|S1DIMEW
.U=Unmar
|2373
.V=Sp NR
|379
.X=Dont do
|6
0.No
|9330
1.Yes
|564
Value----------------------|R1ARMSW
.X=Dont do
|16
0.No
|11126
1.Yes
|1510
Value----------------------|S1ARMSW
.U=Unmar
|2373
.V=Sp NR
|379
.X=Dont do
|10
0.No
|8838
1.Yes
|1052
Value----------------------|R1PUSHW
.X=Dont do
|163
0.No
|9303
1.Yes
|3186
Value----------------------|S1PUSHW
.U=Unmar
|2373
.V=Sp NR
|379
.X=Dont do
|106
0.No
|7471
1.Yes
|2323
How Constructed:
These functional limitation variables are derived for Wave 1 only. They code a yes/no dummy that
indicates "any difficulty" in a manner used by Wallace and Herzog in their paper (Wallace and Herzog,
1995). These variables are provided for comparison to the results found in that paper.
Wallace and Herzog recode the functional limitation variables to 1 for "any difficulty" if the respondent
answered "a little difficult", "somewhat difficult" or "very difficult/can't do". A response of "not
difficult at all" is recoded to zero. This recoding scheme is applied for these variables to attempt to
replicate the results reported in their paper.
If a respondent reports no difficulty jogging a mile, then the questions about walking several blocks and
walking one block are skipped. In these cases R1WALKSW and R1WALK1W are set to 0 for no difficulty.
Similarly if the respondent reports no difficulty walking several blocks or climbing several flights of
stairs, then the questions about walking one block or climbing one flight of stairs, respectively, are
skipped. In these cases R1WALK1W and R1CLIM1W are set to 0 for no difficulty as appropriate.
The spouse variables are taken from the spouse's self-reported Wave 1 data. If R is not married, spouse
variables are set to .U=unmarried. If R's spouse did not respond then the variables are set to .V=Spouse
is non-response.
There are several other versions of these variables. One version simply recodes the raw HRS variables.
Please see the descriptions of these under "Other Functional Limitations: Raw recodes".
Another version recodes a yes/no dummy variable in waves other than Wave 1, but these are not comparable
with the Wallace and Herzog recodes. Please see the descriptions of these under "Other Functional
Limitations: Some difficulty".
Some of the Wallace and Herzog indices are also derived and include some of these measures in creating
functional limitation indices. Please see "Other Summary Indices".
Section B: Health
397
Cross Wave Differences in Original HRS Data
In all waves questions ask about a number of activities, such as climbing stairs or picking up a dime,
but the question wording and possible answers vary. In Waves 1 and 2H questions about activities of
daily living (ADLs) are embedded among those about other functional limitations. This description
applies to the other functional limitations. The Wave 1 questions ask:
We are interested in how much difficulty people have with various activities because of a health or
physical problem. Please look at the answer categories at the top of page one of the booklet and tell me
how difficult each activity is for you. Exclude any difficulties that you expect to last less than three
months. How difficult is it for you to [...]? Is it not at all difficult, a little difficult, somewhat
difficult, very difficult, or something that you can't do at all?
The respondent can also answer "Don't do". The answers translate into 4 codes: 1 for not at all
difficult, 2 for a little difficult, 3 for somewhat difficult, and 4 for very difficult/can't do.
Another code is used for the "Don't do" response. The first question asks how difficult it is to run or
jog a mile. The specific wording for the other functional limitations (besides ADLs) is: walk several
blocks; walk one block; sit for about 2 hours; get up from a chair after sitting for long periods; climb
several flights of stairs without resting; climb one flight of stairs without resting; lift or carry
weights over 10 lbs like a heavy bag of groceries; stoop, kneel, or crouch; pick up a dime from the
table; reach or extend your arms above shoulder level; and push or pull large objects like a living room
chair. If the respondent says s/he has no difficulty with running a mile, then all the questions about
walking, including several blocks, one block, and across a room, are skipped. If no difficulty is
reported for walking several blocks then the questions about walking one block or across a room are
skipped, and if no difficulty is reported for walking one block, the question about walking across a room
is skipped. Likewise if no difficulty climbing several flights of stairs is reported, the question about
climbing one flight of stairs is skipped.
Note that these variables are only derived for Wave 1. In subsequent waves, the question wording and
possible answers are sufficiently different that the levels of Wave 1 codes cannot be derived from the
data.
HRS Variables Used
HRS 1992:
V304
V305
V306
V308
V309
V311
V312
V313
V314
V315
V317
V318
B4A:RUN OR JOG 1 MIL:IMP
B4B:WALK SEVERAL BLO:IMP
B4C:WALK 1 BLOCK
:IMP
B4E:SIT FOR 2 HOURS :IMP
B4F:GET UP AFTR SIT :IMP
B4H:CLMB SVRL FLTS S:IMP
B4J:1 FLT STAIRS-NO :IMP
B4K:LIFT/CARRY 10 LB:IMP
B4M:STOOP/KNEEL/CROU:IMP
B4N:PCK UP DIME FRM :IMP
B4Q:ARMS OVER SHOULD:IMP
B4R:PULL/PUSH LRG OB:IMP
Section B: Health
398
ADL Summary: sum ADLs where respondent reports any difficulty
Wave
Variable
Label
Type
2
3
4
5
6
7
8
9
10
11
R2ADLA
R3ADLA
R4ADLA
R5ADLA
R6ADLA
R7ADLA
R8ADLA
R9ADLA
R10ADLA
R11ADLA
R2ADLA:W2 Some Diff-ADLs /0-5
R3ADLA:W3 Some Diff-ADLs /0-5
R4ADLA:W4 Some Diff-ADLs /0-5
R5ADLA:W5 Some Diff-ADLs /0-5
R6ADLA:W6 Some Diff-ADLs /0-5
R7ADLA:W7 Some Diff-ADLs /0-5
R8ADLA:W8 Some Diff-ADLs /0-5
R9ADLA:W9 Some Diff-ADLs /0-5
R10ADLA:W10 Some Diff-ADLs /0-5
R11ADLA:W11 Some Diff-ADLs /0-5
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
2
3
4
5
6
7
8
9
10
11
S2ADLA
S3ADLA
S4ADLA
S5ADLA
S6ADLA
S7ADLA
S8ADLA
S9ADLA
S10ADLA
S11ADLA
S2ADLA:W2 Some Diff-ADLs /0-5
S3ADLA:W3 Some Diff-ADLs /0-5
S4ADLA:W4 Some Diff-ADLs /0-5
S5ADLA:W5 Some Diff-ADLs /0-5
S6ADLA:W6 Some Diff-ADLs /0-5
S7ADLA:W7 Some Diff-ADLs /0-5
S8ADLA:W8 Some Diff-ADLs /0-5
S9ADLA:W9 Some Diff-ADLs /0-5
S10ADLA:W10 Some Diff-ADLs /0-5
S11ADLA:W11 Some Diff-ADLs /0-5
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
2
3
4
5
6
7
8
9
10
11
R2ADLWA
R3ADLWA
R4ADLWA
R5ADLWA
R6ADLWA
R7ADLWA
R8ADLWA
R9ADLWA
R10ADLWA
R11ADLWA
R2ADLWA:W2 Some Diff-ADLs:Wallace /0-3
R3ADLWA:W3 Some Diff-ADLs:Wallace /0-3
R4ADLWA:W4 Some Diff-ADLs:Wallace /0-3
R5ADLWA:W5 Some Diff-ADLs:Wallace /0-3
R6ADLWA:W6 Some Diff-ADLs:Wallace /0-3
R7ADLWA:W7 Some Diff-ADLs:Wallace /0-3
R8ADLWA:W8 Some Diff-ADLs:Wallace /0-3
R9ADLWA:W9 Some Diff-ADLs:Wallace /0-3
R10ADLWA:W10 Some Diff-ADLs:Wallace /0-3
R11ADLWA:W11 Some Diff-ADLs:Wallace /0-3
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
2
3
4
5
6
7
8
9
10
11
S2ADLWA
S3ADLWA
S4ADLWA
S5ADLWA
S6ADLWA
S7ADLWA
S8ADLWA
S9ADLWA
S10ADLWA
S11ADLWA
S2ADLWA:W2 Some Diff-ADLs:Wallace /0-3
S3ADLWA:W3 Some Diff-ADLs:Wallace /0-3
S4ADLWA:W4 Some Diff-ADLs:Wallace /0-3
S5ADLWA:W5 Some Diff-ADLs:Wallace /0-3
S6ADLWA:W6 Some Diff-ADLs:Wallace /0-3
S7ADLWA:W7 Some Diff-ADLs:Wallace /0-3
S8ADLWA:W8 Some Diff-ADLs:Wallace /0-3
S9ADLWA:W9 Some Diff-ADLs:Wallace /0-3
S10ADLWA:W10 Some Diff-ADLs:Wallace /0-3
S11ADLWA:W11 Some Diff-ADLs:Wallace /0-3
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
R1ADLW
R1ADLW:W1 Any Diff-ADLs /0-5
Cont
1
S1ADLW
S1ADLW:W1 Any Diff-ADLs /0-5
Cont
1
R1ADLWW
R1ADLWW:W1 Any Diff-ADLs:Wallace /0-3
Cont
1
S1ADLWW
S1ADLWW:W1 Any Diff-ADLs:Wallace /0-3
Cont
Descriptive Statistics
Variable
R2ADLA
N
19641
Mean
0.23
Std Dev
0.74
Minimum
0.0
Maximum
5.0
Section B: Health
399
R3ADLA
R4ADLA
R5ADLA
R6ADLA
R7ADLA
R8ADLA
R9ADLA
R10ADLA
R11ADLA
17952
21356
19555
18158
20119
18460
17208
21902
20535
0.37
0.37
0.38
0.39
0.36
0.39
0.40
0.41
0.41
0.98
0.99
1.00
1.01
0.98
1.01
1.03
1.04
1.04
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
S2ADLA
S3ADLA
S4ADLA
S5ADLA
S6ADLA
S7ADLA
S8ADLA
S9ADLA
S10ADLA
S11ADLA
13087
11902
13971
12725
11636
12971
11734
10644
13438
12486
0.16
0.25
0.26
0.26
0.26
0.24
0.27
0.26
0.28
0.28
0.61
0.80
0.81
0.81
0.82
0.79
0.84
0.80
0.85
0.87
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
R2ADLWA
R3ADLWA
R4ADLWA
R5ADLWA
R6ADLWA
R7ADLWA
R8ADLWA
R9ADLWA
R10ADLWA
R11ADLWA
19640
17950
21356
19555
18157
20118
18460
17208
21902
20535
0.12
0.22
0.22
0.23
0.23
0.22
0.24
0.24
0.25
0.24
0.44
0.62
0.63
0.63
0.64
0.62
0.64
0.65
0.66
0.66
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
S2ADLWA
S3ADLWA
S4ADLWA
S5ADLWA
S6ADLWA
S7ADLWA
S8ADLWA
S9ADLWA
S10ADLWA
S11ADLWA
13086
11902
13971
12725
11636
12971
11734
10644
13438
12486
0.08
0.15
0.16
0.16
0.15
0.15
0.16
0.16
0.17
0.17
0.35
0.51
0.52
0.52
0.52
0.51
0.53
0.52
0.54
0.54
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
R1ADLW
12650
0.20
0.70
0.0
5.0
S1ADLW
9898
0.17
0.63
0.0
5.0
R1ADLWW
12648
0.08
0.38
0.0
3.0
S1ADLWW
9897
0.07
0.35
0.0
3.0
How Constructed:
Two Activities of Daily Living (ADL) summaries were derived beginning in Wave 2. One uses the ADLs
proposed Wallace and Herzog in their paper (Wallace and Herzog, 1995) to define an ADL summary (RwADLWA):
bathe, dress, and eat. The second includes these and adds getting in/out of bed and walking across a
room (RwADLA). In all waves the "some difficulty" versions of the individual measures are used to
construct these measures, i.e., RwWALKRA, RwBEDA, RwBATHA, RwDRESSA, and RwEATA. Each limitation adds
one to the summary measure, that is:
RwADLWA = sum (RwBATHA, RwDRESSA, RwEATA)
RwADLA = sum (RwBATHA, RwDRESSA, RwEATA, RwBEDA, RwWALKRA)
Section B: Health
400
Please see "Activities of Daily Living (ADLs): Some difficulty" for a description of how the individual
0/1 variables (Rw[adl]A) are constructed.
Note that neither of these summary measures includes RwTOILTA, which was not available for Wave 2H
respondents.
Because of significant differences in question wording in Wave 1, we do not include these variables for
this interview year. There are other cross wave differences in the way HRS presented these questions in
Wave 2H and 2A and the later waves, that may introduce measurement errors in these variables. In
addition the criteria used for skipping some questions changed between Wave 3 and later waves, which may
also influence the consistency of measurement before Wave 4 for all ADLs except dressing.
For Wave 1 an alternate version of each measure is derived. R1ADLWW is analogous to RwADLWA and R1ADLW
is analogous to RwADLA. These measures use the variables recoded for comparison to Wallace and Herzog
and are provided for comparison to the results found in that paper. Each limitation adds one to the
summary measure, that is:
R1ADLWW = sum (R1BATHW, R1DRESSW, R1EATW)
R1ADLWA = sum (R1BATHW, R1DRESSW, R1EATW, R1BEDW, R1WALKRW)
Please see "Activities of Daily Living (ADLs): Recodes for Comparison to Wallace and Herzog" for a
description of how these 0/1 variables (Rw[adl]W) are constructed. Note that the Wallace and Herzog
variables result in more limitation than the 0/1 recodes for other waves (Rw[adl]A) solely due to
measurement differences in the raw data. The R1ADLWW and R1ADLWA variables are not appropriate for
comparison to the RwADLA and RwADLWA variables in other waves.
The spouse variables are taken from the spouse's self-reported wave 'w' data. If R is not married,
spouse variables are set to .U=unmarried. If R's spouse did not respond then the variables are set to
.V=Spouse is non-response.
See also IADL Summary and Other Summary Indices.
Cross Wave Differences in Original HRS Data
Please see "Cross Wave Differences in Original HRS Data" for the "Activities of daily living (ADLs): Some
difficulty".
Section B: Health
401
IADL Summary: sum IADLs where respondent reports any difficulty
Wave
Variable
Label
Type
1
R1IADLWW
R1IADLWW:W1 Any Diff-IADLs:Wallace /0-3
Cont
1
S1IADLWW
S1IADLWW:W1 Any Diff-IADLs:Wallace /0-3
Cont
2
3
4
5
6
7
8
9
10
11
R2IADLA
R3IADLA
R4IADLA
R5IADLA
R6IADLA
R7IADLA
R8IADLA
R9IADLA
R10IADLA
R11IADLA
R2IADLA:W2 Some Diff-IADLs: W2 Onwards /0-3
R3IADLA:W3 Some Diff-IADLs: W2 Onwards /0-3
R4IADLA:W4 Some Diff-IADLs: W2 Onwards /0-3
R5IADLA:W5 Some Diff-IADLs: W2 Onwards /0-3
R6IADLA:W6 Some Diff-IADLs: W2 Onwards /0-3
R7IADLA:W7 Some Diff-IADLs: W2 Onwards /0-3
R8IADLA:W8 Some Diff-IADLs: W2 Onwards /0-3
R9IADLA:W9 Some Diff-IADLs: W2 Onwards /0-3
R10IADLA:W10 Some Diff-IADLs: W2 Onwards /0-3
R11IADLA:W11 Some Diff-IADLs: W2 Onwards /0-3
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
2
3
4
5
6
7
8
9
10
11
S2IADLA
S3IADLA
S4IADLA
S5IADLA
S6IADLA
S7IADLA
S8IADLA
S9IADLA
S10IADLA
S11IADLA
S2IADLA:W2 Some Diff-IADLs: W2 Onwards /0-3
S3IADLA:W3 Some Diff-IADLs: W2 Onwards /0-3
S4IADLA:W4 Some Diff-IADLs: W2 Onwards /0-3
S5IADLA:W5 Some Diff-IADLs: W2 Onwards /0-3
S6IADLA:W6 Some Diff-IADLs: W2 Onwards /0-3
S7IADLA:W7 Some Diff-IADLs: W2 Onwards /0-3
S8IADLA:W8 Some Diff-IADLs: W2 Onwards /0-3
S9IADLA:W9 Some Diff-IADLs: W2 Onwards /0-3
S10IADLA:W10 Some Diff-IADLs: W2 Onwards /0-3
S11IADLA:W11 Some Diff-IADLs: W2 Onwards /0-3
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
2
3
4
5
6
7
8
9
10
11
R2IADLZA
R3IADLZA
R4IADLZA
R5IADLZA
R6IADLZA
R7IADLZA
R8IADLZA
R9IADLZA
R10IADLZA
R11IADLZA
R2IADLZA:W2 Some Diff-IADLs: W2 Onwards /0-5
R3IADLZA:W3 Some Diff-IADLs: W2 Onwards /0-5
R4IADLZA:W4 Some Diff-IADLs: W2 Onwards /0-5
R5IADLZA:W5 Some Diff-IADLs: W2 Onwards /0-5
R6IADLZA:W6 Some Diff-IADLs: W2 Onwards /0-5
R7IADLZA:W7 Some Diff-IADLs: W2 Onwards /0-5
R8IADLZA:W8 Some Diff-IADLs: W2 Onwards /0-5
R9IADLZA:W9 Some Diff-IADLs: W2 Onwards /0-5
R10IADLZA:W10 Some Diff-IADLs: W2 Onwards /0-5
R11IADLZA:W11 Some Diff-IADLs: W2 Onwards /0-5
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
2
3
4
5
6
7
8
9
10
11
S2IADLZA
S3IADLZA
S4IADLZA
S5IADLZA
S6IADLZA
S7IADLZA
S8IADLZA
S9IADLZA
S10IADLZA
S11IADLZA
S2IADLZA:W2 Some Diff-IADLs: W2 Onwards /0-5
S3IADLZA:W3 Some Diff-IADLs: W2 Onwards /0-5
S4IADLZA:W4 Some Diff-IADLs: W2 Onwards /0-5
S5IADLZA:W5 Some Diff-IADLs: W2 Onwards /0-5
S6IADLZA:W6 Some Diff-IADLs: W2 Onwards /0-5
S7IADLZA:W7 Some Diff-IADLs: W2 Onwards /0-5
S8IADLZA:W8 Some Diff-IADLs: W2 Onwards /0-5
S9IADLZA:W9 Some Diff-IADLs: W2 Onwards /0-5
S10IADLZA:W10 Some Diff-IADLs: W2 Onwards /0-5
S11IADLZA:W11 Some Diff-IADLs: W2 Onwards /0-5
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Descriptive Statistics
Variable
N
R1IADLWW
12533
0.52
0.77
0.0
3.0
S1IADLWW
9834
0.50
0.75
0.0
3.0
19638
0.14
0.49
0.0
3.0
R2IADLA
Mean
Std Dev
Minimum
Maximum
Section B: Health
402
R3IADLA
R4IADLA
R5IADLA
R6IADLA
R7IADLA
R8IADLA
R9IADLA
R10IADLA
R11IADLA
17948
21347
19550
18156
20115
18457
17204
21893
20534
0.16
0.16
0.16
0.18
0.16
0.18
0.18
0.19
0.19
0.54
0.55
0.56
0.58
0.55
0.58
0.59
0.59
0.59
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
S2IADLA
S3IADLA
S4IADLA
S5IADLA
S6IADLA
S7IADLA
S8IADLA
S9IADLA
S10IADLA
S11IADLA
13084
11900
13968
12722
11636
12969
11731
10641
13433
12485
0.12
0.11
0.11
0.10
0.11
0.10
0.11
0.11
0.13
0.13
0.43
0.45
0.45
0.43
0.45
0.44
0.46
0.46
0.48
0.48
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
R2IADLZA
R3IADLZA
R4IADLZA
R5IADLZA
R6IADLZA
R7IADLZA
R8IADLZA
R9IADLZA
R10IADLZA
R11IADLZA
8221
17951
21348
19551
18157
20116
18459
17205
21894
20534
0.46
0.33
0.33
0.34
0.36
0.33
0.36
0.37
0.38
0.38
1.09
0.95
0.95
0.98
1.02
0.96
1.01
1.02
1.00
1.02
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
S2IADLZA
S3IADLZA
S4IADLZA
S5IADLZA
S6IADLZA
S7IADLZA
S8IADLZA
S9IADLZA
S10IADLZA
S11IADLZA
4348
11902
13969
12723
11636
12970
11733
10641
13434
12485
0.36
0.22
0.22
0.22
0.22
0.21
0.24
0.23
0.26
0.26
0.98
0.77
0.77
0.77
0.78
0.73
0.79
0.77
0.81
0.82
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
How Constructed:
Several summary measures for Instrumental Activities of Daily Living (IADLs) are included in an attempt
to provide some consistency across waves. The HRS data does not include the same activities in each wave.
The most frequently available IADL-like activity is using a map which is available for all waves except
Wave 2A.
The usual IADLs were not asked until Wave 2. In Wave 1 there are measures like reading a map, using a
calculator, and using a microwave that may serve this purpose. These are the activities that are assumed
to have been used by Wallace and Herzog in their paper (Wallace and Herzog, 1995). Using a calculator
appears in Wave 2H but is then dropped in Wave 2A and from Wave 3 on. Using a microwave is only asked in
Wave 1. This summary measure is included for Wave 1 as R1IADLWW. R1IADLWW uses the variables recoded
for comparison to Wallace and Herzog and is provided for comparison to the results found in that paper.
Each limitation adds one to the summary measure, that is:
R1IADLWW = sum (R1MAPW, R1CALCW, R1MCWVW)
Please "Instrumental Activities of Daily Living (IADLs): Recodes for Comparison to Wallace and Herzog"
for a description of how the individual variables for R1IADLWW are derived.
Section B: Health
403
Two other IADL summary measures are included. One (RwIADLA) summarizes the commonly used IADLs available
from Wave 2 forward, using the phone, managing money, and taking medications. The second (RwIADLZA)
summarizes these tasks and adds commonly used IADLs available in Wave 2A and from Wave 3 forward,
shopping for groceries and preparing hot meals. All of these summary measures use the "some difficulty"
versions of the individual items. Each limitation adds one to the summary measure, that is:
RwIADLA = sum (RwPHONEA, RwMONEYA, RwMEDSA); w=2,3,4,5
RwIADLZA = sum (RwPHONEA, RwMONEYA, RwMEDSA, RwSHOPA, RwMEALA); w=2,3,4,5
R2IADLZA is available only for Ahead respondents in Wave 2 (2A).
.Q to indicate that this measure is not available.
For HRS respondents R2IADLZA is set to
Please see "Instrumental Activities of Daily Living (IADLs): Some difficulty" for a description of how
the individual 0/1 variables are constructed.
The spouse variables are taken from the spouse's self-reported wave 'w' data. If R is not married,
spouse variables are set to .U=unmarried. If R's spouse did not respond then the variables are set to
.V=Spouse is non-response.
See also ADL Summary and Other Summary Indices.
Cross Wave Differences in Original HRS Data
Please see "Cross Wave Differences in Original HRS Data" for the "Instrumental activities of daily living
(IADLs): Some difficulty".
Section B: Health
404
Other Summary Indices: Mobility, Large Muscle, Gross Fine Motor Activities
Wave
Variable
Label
Type
2
3
4
5
6
7
8
9
10
11
R2MOBILA
R3MOBILA
R4MOBILA
R5MOBILA
R6MOBILA
R7MOBILA
R8MOBILA
R9MOBILA
R10MOBILA
R11MOBILA
R2MOBILA:W2 Some Diff-Mobility /0-5
R3MOBILA:W3 Some Diff-Mobility /0-5
R4MOBILA:W4 Some Diff-Mobility /0-5
R5MOBILA:W5 Some Diff-Mobility /0-5
R6MOBILA:W6 Some Diff-Mobility /0-5
R7MOBILA:W7 Some Diff-Mobility /0-5
R8MOBILA:W8 Some Diff-Mobility /0-5
R9MOBILA:W9 Some Diff-Mobility /0-5
R10MOBILA:W10 Some Diff-Mobility /0-5
R11MOBILA:W11 Some Diff-Mobility /0-5
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
2
3
4
5
6
7
8
9
10
11
S2MOBILA
S3MOBILA
S4MOBILA
S5MOBILA
S6MOBILA
S7MOBILA
S8MOBILA
S9MOBILA
S10MOBILA
S11MOBILA
S2MOBILA:W2 Some Diff-Mobility /0-5
S3MOBILA:W3 Some Diff-Mobility /0-5
S4MOBILA:W4 Some Diff-Mobility /0-5
S5MOBILA:W5 Some Diff-Mobility /0-5
S6MOBILA:W6 Some Diff-Mobility /0-5
S7MOBILA:W7 Some Diff-Mobility /0-5
S8MOBILA:W8 Some Diff-Mobility /0-5
S9MOBILA:W9 Some Diff-Mobility /0-5
S10MOBILA:W10 Some Diff-Mobility /0-5
S11MOBILA:W11 Some Diff-Mobility /0-5
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
2
3
4
5
6
7
8
9
10
11
R2LGMUSA
R3LGMUSA
R4LGMUSA
R5LGMUSA
R6LGMUSA
R7LGMUSA
R8LGMUSA
R9LGMUSA
R10LGMUSA
R11LGMUSA
R2LGMUSA:W2 Some Diff-Large Muscle /0-4
R3LGMUSA:W3 Some Diff-Large Muscle /0-4
R4LGMUSA:W4 Some Diff-Large Muscle /0-4
R5LGMUSA:W5 Some Diff-Large Muscle /0-4
R6LGMUSA:W6 Some Diff-Large Muscle /0-4
R7LGMUSA:W7 Some Diff-Large Muscle /0-4
R8LGMUSA:W8 Some Diff-Large Muscle /0-4
R9LGMUSA:W9 Some Diff-Large Muscle /0-4
R10LGMUSA:W10 Some Diff-Large Muscle /0-4
R11LGMUSA:W11 Some Diff-Large Muscle /0-4
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
2
3
4
5
6
7
8
9
10
11
S2LGMUSA
S3LGMUSA
S4LGMUSA
S5LGMUSA
S6LGMUSA
S7LGMUSA
S8LGMUSA
S9LGMUSA
S10LGMUSA
S11LGMUSA
S2LGMUSA:W2 Some Diff-Large Muscle /0-4
S3LGMUSA:W3 Some Diff-Large Muscle /0-4
S4LGMUSA:W4 Some Diff-Large Muscle /0-4
S5LGMUSA:W5 Some Diff-Large Muscle /0-4
S6LGMUSA:W6 Some Diff-Large Muscle /0-4
S7LGMUSA:W7 Some Diff-Large Muscle /0-4
S8LGMUSA:W8 Some Diff-Large Muscle /0-4
S9LGMUSA:W9 Some Diff-Large Muscle /0-4
S10LGMUSA:W10 Some Diff-Large Muscle /0-4
S11LGMUSA:W11 Some Diff-Large Muscle /0-4
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
2
3
4
5
6
7
8
9
10
11
R2GROSSA
R3GROSSA
R4GROSSA
R5GROSSA
R6GROSSA
R7GROSSA
R8GROSSA
R9GROSSA
R10GROSSA
R11GROSSA
R2GROSSA:W2 Walk1/R,Clim1,Bed,Bath/0-5
R3GROSSA:W3 Walk1/R,Clim1,Bed,Bath/0-5
R4GROSSA:W4 Walk1/R,Clim1,Bed,Bath/0-5
R5GROSSA:W5 Walk1/R,Clim1,Bed,Bath/0-5
R6GROSSA:W6 Walk1/R,Clim1,Bed,Bath/0-5
R7GROSSA:W7 Walk1/R,Clim1,Bed,Bath/0-5
R8GROSSA:W8 Walk1/R,Clim1,Bed,Bath/0-5
R9GROSSA:W9 Walk1/R,Clim1,Bed,Bath/0-5
R10GROSSA:W10 Walk1/R,Clim1,Bed,Bath/0-5
R11GROSSA:W11 Walk1/R,Clim1,Bed,Bath/0-5
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
2
3
S2GROSSA
S3GROSSA
S2GROSSA:W2 Walk1/R,Clim1,Bed,Bath/0-5
S3GROSSA:W3 Walk1/R,Clim1,Bed,Bath/0-5
Cont
Cont
Section B: Health
405
4
5
6
7
8
9
10
11
S4GROSSA
S5GROSSA
S6GROSSA
S7GROSSA
S8GROSSA
S9GROSSA
S10GROSSA
S11GROSSA
S4GROSSA:W4 Walk1/R,Clim1,Bed,Bath/0-5
S5GROSSA:W5 Walk1/R,Clim1,Bed,Bath/0-5
S6GROSSA:W6 Walk1/R,Clim1,Bed,Bath/0-5
S7GROSSA:W7 Walk1/R,Clim1,Bed,Bath/0-5
S8GROSSA:W8 Walk1/R,Clim1,Bed,Bath/0-5
S9GROSSA:W9 Walk1/R,Clim1,Bed,Bath/0-5
S10GROSSA:W10 Walk1/R,Clim1,Bed,Bath/0-5
S11GROSSA:W11 Walk1/R,Clim1,Bed,Bath/0-5
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
2
3
4
5
6
7
8
9
10
11
R2FINEA
R3FINEA
R4FINEA
R5FINEA
R6FINEA
R7FINEA
R8FINEA
R9FINEA
R10FINEA
R11FINEA
R2FINEA:W2 Dime/Eat/Dress /0-3
R3FINEA:W3 Dime/Eat/Dress /0-3
R4FINEA:W4 Dime/Eat/Dress /0-3
R5FINEA:W5 Dime/Eat/Dress /0-3
R6FINEA:W6 Dime/Eat/Dress /0-3
R7FINEA:W7 Dime/Eat/Dress /0-3
R8FINEA:W8 Dime/Eat/Dress /0-3
R9FINEA:W9 Dime/Eat/Dress /0-3
R10FINEA:W10 Dime/Eat/Dress /0-3
R11FINEA:W11 Dime/Eat/Dress /0-3
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
2
3
4
5
6
7
8
9
10
11
S2FINEA
S3FINEA
S4FINEA
S5FINEA
S6FINEA
S7FINEA
S8FINEA
S9FINEA
S10FINEA
S11FINEA
S2FINEA:W2 Dime/Eat/Dress /0-3
S3FINEA:W3 Dime/Eat/Dress /0-3
S4FINEA:W4 Dime/Eat/Dress /0-3
S5FINEA:W5 Dime/Eat/Dress /0-3
S6FINEA:W6 Dime/Eat/Dress /0-3
S7FINEA:W7 Dime/Eat/Dress /0-3
S8FINEA:W8 Dime/Eat/Dress /0-3
S9FINEA:W9 Dime/Eat/Dress /0-3
S10FINEA:W10 Dime/Eat/Dress /0-3
S11FINEA:W11 Dime/Eat/Dress /0-3
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
R1MOBILW
R1MOBILW:W1 Any Diff-Mobility /0-5
Cont
1
S1MOBILW
S1MOBILW:W1 Any Diff-Mobility /0-5
Cont
1
R1LGMUSW
R1LGMUSW:W1 Any Diff-Large Muscle /0-4
Cont
1
S1LGMUSW
S1LGMUSW:W1 Any Diff-Large Muscle /0-4
Cont
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R2MOBILA
R3MOBILA
R4MOBILA
R5MOBILA
R6MOBILA
R7MOBILA
R8MOBILA
R9MOBILA
R10MOBILA
R11MOBILA
11407
17944
21352
19542
18151
20107
18454
17205
21903
20535
0.69
1.01
1.01
1.07
1.16
1.11
1.21
1.22
1.18
1.21
1.20
1.44
1.46
1.49
1.52
1.49
1.54
1.55
1.54
1.56
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
S2MOBILA
S3MOBILA
S4MOBILA
S5MOBILA
S6MOBILA
S7MOBILA
S8MOBILA
S9MOBILA
S10MOBILA
8729
11900
13970
12723
11634
12968
11733
10645
13438
0.62
0.83
0.83
0.88
0.95
0.91
0.99
0.98
0.96
1.12
1.31
1.32
1.35
1.38
1.35
1.40
1.39
1.39
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
Section B: Health
406
S11MOBILA
12486
1.00
1.42
0.0
5.0
R2LGMUSA
R3LGMUSA
R4LGMUSA
R5LGMUSA
R6LGMUSA
R7LGMUSA
R8LGMUSA
R9LGMUSA
R10LGMUSA
R11LGMUSA
11419
17946
21345
19545
18151
20102
18457
17203
21898
20533
1.06
1.18
1.17
1.20
1.30
1.26
1.36
1.34
1.34
1.34
1.28
1.31
1.31
1.31
1.32
1.32
1.34
1.33
1.38
1.39
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
4.0
4.0
4.0
4.0
4.0
4.0
4.0
4.0
4.0
4.0
S2LGMUSA
S3LGMUSA
S4LGMUSA
S5LGMUSA
S6LGMUSA
S7LGMUSA
S8LGMUSA
S9LGMUSA
S10LGMUSA
S11LGMUSA
8738
11899
13964
12723
11635
12962
11732
10642
13435
12485
1.00
1.07
1.06
1.09
1.18
1.14
1.22
1.20
1.20
1.19
1.23
1.28
1.27
1.27
1.28
1.28
1.30
1.28
1.34
1.34
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
4.0
4.0
4.0
4.0
4.0
4.0
4.0
4.0
4.0
4.0
R2GROSSA
R3GROSSA
R4GROSSA
R5GROSSA
R6GROSSA
R7GROSSA
R8GROSSA
R9GROSSA
R10GROSSA
R11GROSSA
11420
17954
21359
19555
18158
20118
18462
17209
21906
20536
0.27
0.52
0.53
0.55
0.59
0.55
0.60
0.61
0.59
0.61
0.83
1.13
1.15
1.17
1.19
1.16
1.20
1.21
1.21
1.22
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
S2GROSSA
S3GROSSA
S4GROSSA
S5GROSSA
S6GROSSA
S7GROSSA
S8GROSSA
S9GROSSA
S10GROSSA
S11GROSSA
8739
11904
13972
12725
11636
12970
11734
10645
13440
12486
0.23
0.37
0.38
0.40
0.41
0.39
0.43
0.42
0.43
0.45
0.75
0.95
0.97
0.99
1.00
0.97
1.01
0.99
1.01
1.04
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
5.0
R2FINEA
R3FINEA
R4FINEA
R5FINEA
R6FINEA
R7FINEA
R8FINEA
R9FINEA
R10FINEA
R11FINEA
19641
17953
21356
19555
18157
20119
18461
17208
21902
20536
0.13
0.22
0.21
0.22
0.22
0.21
0.23
0.24
0.24
0.23
0.42
0.57
0.57
0.57
0.57
0.56
0.59
0.59
0.59
0.60
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
3.0
S2FINEA
S3FINEA
S4FINEA
S5FINEA
S6FINEA
S7FINEA
13087
11903
13971
12725
11636
12971
0.09
0.16
0.16
0.17
0.16
0.15
0.36
0.50
0.49
0.50
0.48
0.47
0.0
0.0
0.0
0.0
0.0
0.0
3.0
3.0
3.0
3.0
3.0
3.0
Section B: Health
407
S8FINEA
S9FINEA
S10FINEA
S11FINEA
11734
10644
13438
12486
0.18
0.17
0.18
0.18
0.51
0.49
0.51
0.52
0.0
0.0
0.0
0.0
3.0
3.0
3.0
3.0
R1MOBILW
12641
1.04
1.36
0.0
5.0
S1MOBILW
9891
0.97
1.31
0.0
5.0
R1LGMUSW
12649
1.31
1.34
0.0
4.0
S1LGMUSW
9897
1.27
1.31
0.0
4.0
How Constructed:
Several summary measures for functional limitations are included in an attempt
consistency across waves. Wallace and Herzog present summary measures in their
1995) which include measures for ADLs, mobility, large muscle, and IADLs. For
measures, please see "ADL Summary" and "IADL Summary". The mobility and large
included here. After examining individual measures, two groupings of the most
measures were added, gross and fine motor summaries.
to provide some
paper (Wallace and Herzog,
ADL and IADL summary
muscle indices are
consistent cross wave
The large muscle index uses the sitting for 2 hrs, getting up from a chair, stooping, kneeling or
crouching, and pushing or pulling large objects activities. The mobility index uses the walking one
block, walking several blocks, walking across a room, climbing one flight of stairs, and climbing several
flights of stairs activities. The fine motor index uses the picking up a dime, eating, and dressing
activities. The gross motor index uses the walking one block, walking across a room, climbing one flight
of stairs, getting in or out of bed, and bathing activities. In all waves the "some difficulty" versions
of the individual measures are used to construct these measures. Each limitation adds one to the summary
measure, that is:
RwMOBILA= sum (RwWALKSA, RwWALK1A, RwWALKRA, RwCLIMSA, RwCLIM1A)
RwLGMUSA= sum (RwSITA, RwCHAIRA, RwSTOOPA, RwPUSHA)
RwGROSSA= sum (RwWALK1A, RwWALKRA, RwCLIM1A, RwBEDA, RwBATHA)
RwFINEA= sum (RwDIMEA, RwEATA, RwDRESSA)
In Wave 2A, there is no R2WALK1A for R2GROSSA so we set .Q to R2GROSSA.
In Wave 2A, there are no R2WALK1A and R2CLIMSA so we set R2MOBILA and R2GROSSA to .Q for Ahead
respondents in Wave 2. Also there are no R2SITA, R2CHAIRA and R2STOOPA so we set R2LGMUSA to .Q as well.
Please see "Activities of Daily Living (ADLs): Some difficulty" for a description of how RwWALKRA,
RwBEDA, RwBATHA, RwEATA, and RwDRESSA are derived. Please see "Other Functional Limitations: Some
difficulty" for a description of how the other individual 0/1 variables are constructed.
For Wave 1 only alternate versions of two of these measures are derived. R1MOBILW is analogous to
RwMOBILA and R1LGMUSW is analogous to RwLGMUSA. These measures use the variables recoded for comparison
to Wallace and Herzog and are provided for comparison to the results found in that paper. Each limitation
adds one to the summary measure, that is:
R1MOBILW= sum (R1WALKSW, R1WALK1W, R1WALKRW, R1CLIMSW, R1CLIM1W)
R1LGMUSW= sum (R1SITW, R1CHAIRW, R1STOOPW, R1PUSHW)
Please see "Activities of Daily Living (ADLs): Recodes for Comparison to Wallace and Herzog" for a
description of how RwWALKRW is derived. Please see "Other Functional Limitations: Recodes for Comparison
to Wallace and Herzog" for how the other individual 0/1 variables are constructed.
Section B: Health
408
The spouse variables are taken from the spouse's self-reported wave 'w' data. If R is not married,
spouse variables are set to .U=unmarried. If R's spouse did not respond then the variables are set to
.V=Spouse is non-response.
Cross Wave Differences in Original HRS Data
In Wave 2A, there are no R2WALK1A and R2CLIMSA so we set R2MOBILA and R2GROSSA to .Q for Ahead
respondents in Wave 2. Also there are no R2SITA, R2CHAIRA and R2STOOPA so we set R2LGMUSA to .Q as well.
Please see "Cross Wave Differences in Original HRS Data" for the "Activities of daily living (ADLs): Some
difficulty" and for "Other Functional Limitations: Some difficulty".
Section B: Health
409
Mental health (CESD score)
Wave
Variable
Label
Type
1
R1DEPREX
R1DEPREX:W1 CESD: Felt depressed-raw
Categ
1
S1DEPREX
S1DEPREX:W1 CESD: Felt depressed-raw
Categ
2
3
4
5
6
7
8
9
10
11
R2DEPRES
R3DEPRES
R4DEPRES
R5DEPRES
R6DEPRES
R7DEPRES
R8DEPRES
R9DEPRES
R10DEPRES
R11DEPRES
R2DEPRES:W2 CESD: Felt depressed
R3DEPRES:W3 CESD: Felt depressed
R4DEPRES:W4 CESD: Felt depressed
R5DEPRES:W5 CESD: Felt depressed
R6DEPRES:W6 CESD: Felt depressed
R7DEPRES:W7 CESD: Felt depressed
R8DEPRES:W8 CESD: Felt depressed
R9DEPRES:W9 CESD: Felt depressed
R10DEPRES:W10 CESD: Felt depressed
R11DEPRES:W11 CESD: Felt depressed
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2DEPRES
S3DEPRES
S4DEPRES
S5DEPRES
S6DEPRES
S7DEPRES
S8DEPRES
S9DEPRES
S10DEPRES
S11DEPRES
S2DEPRES:W2 CESD: Felt depressed
S3DEPRES:W3 CESD: Felt depressed
S4DEPRES:W4 CESD: Felt depressed
S5DEPRES:W5 CESD: Felt depressed
S6DEPRES:W6 CESD: Felt depressed
S7DEPRES:W7 CESD: Felt depressed
S8DEPRES:W8 CESD: Felt depressed
S9DEPRES:W9 CESD: Felt depressed
S10DEPRES:W10 CESD: Felt depressed
S11DEPRES:W11 CESD: Felt depressed
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
R1EFFORX
R1EFFORX:W1 CESD: Everything an effort-raw
Categ
1
S1EFFORX
S1EFFORX:W1 CESD: Everything an effort-raw
Categ
2
3
4
5
6
7
8
9
10
11
R2EFFORT
R3EFFORT
R4EFFORT
R5EFFORT
R6EFFORT
R7EFFORT
R8EFFORT
R9EFFORT
R10EFFORT
R11EFFORT
R2EFFORT:W2 CESD: Everything an effort
R3EFFORT:W3 CESD: Everything an effort
R4EFFORT:W4 CESD: Everything an effort
R5EFFORT:W5 CESD: Everything an effort
R6EFFORT:W6 CESD: Everything an effort
R7EFFORT:W7 CESD: Everything an effort
R8EFFORT:W8 CESD: Everything an effort
R9EFFORT:W9 CESD: Everything an effort
R10EFFORT:W10 CESD: Everything an effort
R11EFFORT:W11 CESD: Everything an effort
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2EFFORT
S3EFFORT
S4EFFORT
S5EFFORT
S6EFFORT
S7EFFORT
S8EFFORT
S9EFFORT
S10EFFORT
S11EFFORT
S2EFFORT:W2 CESD: Everything an effort
S3EFFORT:W3 CESD: Everything an effort
S4EFFORT:W4 CESD: Everything an effort
S5EFFORT:W5 CESD: Everything an effort
S6EFFORT:W6 CESD: Everything an effort
S7EFFORT:W7 CESD: Everything an effort
S8EFFORT:W8 CESD: Everything an effort
S9EFFORT:W9 CESD: Everything an effort
S10EFFORT:W10 CESD: Everything an effort
S11EFFORT:W11 CESD: Everything an effort
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
R1SLEEPX
R1SLEEPX:W1 CESD: Sleep was restless-raw
Categ
1
S1SLEEPX
S1SLEEPX:W1 CESD: Sleep was restless-raw
Categ
2
R2SLEEPR
R2SLEEPR:W2 CESD: Sleep was restless
Categ
Section B: Health
410
3
4
5
6
7
8
9
10
11
R3SLEEPR
R4SLEEPR
R5SLEEPR
R6SLEEPR
R7SLEEPR
R8SLEEPR
R9SLEEPR
R10SLEEPR
R11SLEEPR
R3SLEEPR:W3 CESD: Sleep was restless
R4SLEEPR:W4 CESD: Sleep was restless
R5SLEEPR:W5 CESD: Sleep was restless
R6SLEEPR:W6 CESD: Sleep was restless
R7SLEEPR:W7 CESD: Sleep was restless
R8SLEEPR:W8 CESD: Sleep was restless
R9SLEEPR:W9 CESD: Sleep was restless
R10SLEEPR:W10 CESD: Sleep was restless
R11SLEEPR:W11 CESD: Sleep was restless
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2SLEEPR
S3SLEEPR
S4SLEEPR
S5SLEEPR
S6SLEEPR
S7SLEEPR
S8SLEEPR
S9SLEEPR
S10SLEEPR
S11SLEEPR
S2SLEEPR:W2 CESD: Sleep was restless
S3SLEEPR:W3 CESD: Sleep was restless
S4SLEEPR:W4 CESD: Sleep was restless
S5SLEEPR:W5 CESD: Sleep was restless
S6SLEEPR:W6 CESD: Sleep was restless
S7SLEEPR:W7 CESD: Sleep was restless
S8SLEEPR:W8 CESD: Sleep was restless
S9SLEEPR:W9 CESD: Sleep was restless
S10SLEEPR:W10 CESD: Sleep was restless
S11SLEEPR:W11 CESD: Sleep was restless
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
R1WHAPPX
R1WHAPPX:W1 CESD: Was happy-raw
Categ
1
S1WHAPPX
S1WHAPPX:W1 CESD: Was happy-raw
Categ
2
3
4
5
6
7
8
9
10
11
R2WHAPPY
R3WHAPPY
R4WHAPPY
R5WHAPPY
R6WHAPPY
R7WHAPPY
R8WHAPPY
R9WHAPPY
R10WHAPPY
R11WHAPPY
R2WHAPPY:W2 CESD: Was happy
R3WHAPPY:W3 CESD: Was happy
R4WHAPPY:W4 CESD: Was happy
R5WHAPPY:W5 CESD: Was happy
R6WHAPPY:W6 CESD: Was happy
R7WHAPPY:W7 CESD: Was happy
R8WHAPPY:W8 CESD: Was happy
R9WHAPPY:W9 CESD: Was happy
R10WHAPPY:W10 CESD: Was happy
R11WHAPPY:W11 CESD: Was happy
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2WHAPPY
S3WHAPPY
S4WHAPPY
S5WHAPPY
S6WHAPPY
S7WHAPPY
S8WHAPPY
S9WHAPPY
S10WHAPPY
S11WHAPPY
S2WHAPPY:W2 CESD: Was happy
S3WHAPPY:W3 CESD: Was happy
S4WHAPPY:W4 CESD: Was happy
S5WHAPPY:W5 CESD: Was happy
S6WHAPPY:W6 CESD: Was happy
S7WHAPPY:W7 CESD: Was happy
S8WHAPPY:W8 CESD: Was happy
S9WHAPPY:W9 CESD: Was happy
S10WHAPPY:W10 CESD: Was happy
S11WHAPPY:W11 CESD: Was happy
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
R1FLONEX
R1FLONEX:W1 CESD: Felt lonely-raw
Categ
1
S1FLONEX
S1FLONEX:W1 CESD: Felt lonely-raw
Categ
2
3
4
5
6
7
8
9
10
11
R2FLONE
R3FLONE
R4FLONE
R5FLONE
R6FLONE
R7FLONE
R8FLONE
R9FLONE
R10FLONE
R11FLONE
R2FLONE:W2 CESD: Felt lonely
R3FLONE:W3 CESD: Felt lonely
R4FLONE:W4 CESD: Felt lonely
R5FLONE:W5 CESD: Felt lonely
R6FLONE:W6 CESD: Felt lonely
R7FLONE:W7 CESD: Felt lonely
R8FLONE:W8 CESD: Felt lonely
R9FLONE:W9 CESD: Felt lonely
R10FLONE:W10 CESD: Felt lonely
R11FLONE:W11 CESD: Felt lonely
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
S2FLONE
S2FLONE:W2 CESD: Felt lonely
Categ
Section B: Health
411
3
4
5
6
7
8
9
10
11
S3FLONE
S4FLONE
S5FLONE
S6FLONE
S7FLONE
S8FLONE
S9FLONE
S10FLONE
S11FLONE
S3FLONE:W3 CESD: Felt lonely
S4FLONE:W4 CESD: Felt lonely
S5FLONE:W5 CESD: Felt lonely
S6FLONE:W6 CESD: Felt lonely
S7FLONE:W7 CESD: Felt lonely
S8FLONE:W8 CESD: Felt lonely
S9FLONE:W9 CESD: Felt lonely
S10FLONE:W10 CESD: Felt lonely
S11FLONE:W11 CESD: Felt lonely
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
R1FSADX
R1FSADX:W1 CESD: Felt sad-raw
Categ
1
S1FSADX
S1FSADX:W1 CESD: Felt sad-raw
Categ
2
3
4
5
6
7
8
9
10
11
R2FSAD
R3FSAD
R4FSAD
R5FSAD
R6FSAD
R7FSAD
R8FSAD
R9FSAD
R10FSAD
R11FSAD
R2FSAD:W2 CESD: Felt sad
R3FSAD:W3 CESD: Felt sad
R4FSAD:W4 CESD: Felt sad
R5FSAD:W5 CESD: Felt sad
R6FSAD:W6 CESD: Felt sad
R7FSAD:W7 CESD: Felt sad
R8FSAD:W8 CESD: Felt sad
R9FSAD:W9 CESD: Felt sad
R10FSAD:W10 CESD: Felt sad
R11FSAD:W11 CESD: Felt sad
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2FSAD
S3FSAD
S4FSAD
S5FSAD
S6FSAD
S7FSAD
S8FSAD
S9FSAD
S10FSAD
S11FSAD
S2FSAD:W2 CESD: Felt sad
S3FSAD:W3 CESD: Felt sad
S4FSAD:W4 CESD: Felt sad
S5FSAD:W5 CESD: Felt sad
S6FSAD:W6 CESD: Felt sad
S7FSAD:W7 CESD: Felt sad
S8FSAD:W8 CESD: Felt sad
S9FSAD:W9 CESD: Felt sad
S10FSAD:W10 CESD: Felt sad
S11FSAD:W11 CESD: Felt sad
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
R1GOINGX
R1GOINGX:W1 CESD: Could not get going -raw
Categ
1
S1GOINGX
S1GOINGX:W1 CESD: Could not get going -raw
Categ
2
3
4
5
6
7
8
9
10
11
R2GOING
R3GOING
R4GOING
R5GOING
R6GOING
R7GOING
R8GOING
R9GOING
R10GOING
R11GOING
R2GOING:W2 CESD: Could not get going
R3GOING:W3 CESD: Could not get going
R4GOING:W4 CESD: Could not get going
R5GOING:W5 CESD: Could not get going
R6GOING:W6 CESD: Could not get going
R7GOING:W7 CESD: Could not get going
R8GOING:W8 CESD: Could not get going
R9GOING:W9 CESD: Could not get going
R10GOING:W10 CESD: Could not get going
R11GOING:W11 CESD: Could not get going
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2GOING
S3GOING
S4GOING
S5GOING
S6GOING
S7GOING
S8GOING
S9GOING
S10GOING
S11GOING
S2GOING:W2 CESD: Could not get going
S3GOING:W3 CESD: Could not get going
S4GOING:W4 CESD: Could not get going
S5GOING:W5 CESD: Could not get going
S6GOING:W6 CESD: Could not get going
S7GOING:W7 CESD: Could not get going
S8GOING:W8 CESD: Could not get going
S9GOING:W9 CESD: Could not get going
S10GOING:W10 CESD: Could not get going
S11GOING:W11 CESD: Could not get going
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
R1ENLIFX
R1ENLIFX:W1 CESD: Enjoyed life -raw
Categ
Section B: Health
412
1
S1ENLIFX
S1ENLIFX:W1 CESD: Enjoyed life -raw
Categ
2
3
4
5
6
7
8
9
10
11
R2ENLIFE
R3ENLIFE
R4ENLIFE
R5ENLIFE
R6ENLIFE
R7ENLIFE
R8ENLIFE
R9ENLIFE
R10ENLIFE
R11ENLIFE
R2ENLIFE:W2 CESD: Enjoyed life
R3ENLIFE:W3 CESD: Enjoyed life
R4ENLIFE:W4 CESD: Enjoyed life
R5ENLIFE:W5 CESD: Enjoyed life
R6ENLIFE:W6 CESD: Enjoyed life
R7ENLIFE:W7 CESD: Enjoyed life
R8ENLIFE:W8 CESD: Enjoyed life
R9ENLIFE:W9 CESD: Enjoyed life
R10ENLIFE:W10 CESD: Enjoyed life
R11ENLIFE:W11 CESD: Enjoyed life
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
S2ENLIFE
S3ENLIFE
S4ENLIFE
S5ENLIFE
S6ENLIFE
S7ENLIFE
S8ENLIFE
S9ENLIFE
S10ENLIFE
S11ENLIFE
S2ENLIFE:W2 CESD: Enjoyed life
S3ENLIFE:W3 CESD: Enjoyed life
S4ENLIFE:W4 CESD: Enjoyed life
S5ENLIFE:W5 CESD: Enjoyed life
S6ENLIFE:W6 CESD: Enjoyed life
S7ENLIFE:W7 CESD: Enjoyed life
S8ENLIFE:W8 CESD: Enjoyed life
S9ENLIFE:W9 CESD: Enjoyed life
S10ENLIFE:W10 CESD: Enjoyed life
S11ENLIFE:W11 CESD: Enjoyed life
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
2
3
4
5
6
7
8
9
10
11
R2CESD
R3CESD
R4CESD
R5CESD
R6CESD
R7CESD
R8CESD
R9CESD
R10CESD
R11CESD
R2CESD:W2 CESD score
R3CESD:W3 CESD score
R4CESD:W4 CESD score
R5CESD:W5 CESD score
R6CESD:W6 CESD score
R7CESD:W7 CESD score
R8CESD:W8 CESD score
R9CESD:W9 CESD score
R10CESD:W10 CESD score
R11CESD:W11 CESD score
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
2
3
4
5
6
7
8
9
10
11
S2CESD
S3CESD
S4CESD
S5CESD
S6CESD
S7CESD
S8CESD
S9CESD
S10CESD
S11CESD
S2CESD:W2 CESD score
S3CESD:W3 CESD score
S4CESD:W4 CESD score
S5CESD:W5 CESD score
S6CESD:W6 CESD score
S7CESD:W7 CESD score
S8CESD:W8 CESD score
S9CESD:W9 CESD score
S10CESD:W10 CESD score
S11CESD:W11 CESD score
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
5
6
7
8
9
10
11
R1CESDM
R2CESDM
R3CESDM
R4CESDM
R5CESDM
R6CESDM
R7CESDM
R8CESDM
R9CESDM
R10CESDM
R11CESDM
R1CESDM:W1 missings in CESD score
R2CESDM:W2 missings in CESD score
R3CESDM:W3 missings in CESD score
R4CESDM:W4 missings in CESD score
R5CESDM:W5 missings in CESD score
R6CESDM:W6 missings in CESD score
R7CESDM:W7 missings in CESD score
R8CESDM:W8 missings in CESD score
R9CESDM:W9 missings in CESD score
R10CESDM:W10 missings in CESD score
R11CESDM:W11 missings in CESD score
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Cont
1
2
3
4
S1CESDM
S2CESDM
S3CESDM
S4CESDM
S1CESDM:W1
S2CESDM:W2
S3CESDM:W3
S4CESDM:W4
Cont
Cont
Cont
Cont
missings
missings
missings
missings
in
in
in
in
CESD
CESD
CESD
CESD
score
score
score
score
Section B: Health
5
6
7
8
9
10
11
413
S5CESDM
S6CESDM
S7CESDM
S8CESDM
S9CESDM
S10CESDM
S11CESDM
S5CESDM:W5 missings in CESD score
S6CESDM:W6 missings in CESD score
S7CESDM:W7 missings in CESD score
S8CESDM:W8 missings in CESD score
S9CESDM:W9 missings in CESD score
S10CESDM:W10 missings in CESD score
S11CESDM:W11 missings in CESD score
Cont
Cont
Cont
Cont
Cont
Cont
Cont
Descriptive Statistics
Variable
N
Mean
Std Dev
Minimum
Maximum
R1DEPREX
12652
3.63
0.66
1.0
4.0
S1DEPREX
9900
3.67
0.62
1.0
4.0
R2DEPRES
R3DEPRES
R4DEPRES
R5DEPRES
R6DEPRES
R7DEPRES
R8DEPRES
R9DEPRES
R10DEPRES
R11DEPRES
18058
16339
19318
17503
16110
18271
17184
16067
20633
19387
0.18
0.16
0.17
0.18
0.17
0.16
0.17
0.13
0.14
0.14
0.38
0.37
0.38
0.38
0.38
0.37
0.37
0.34
0.34
0.35
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2DEPRES
S3DEPRES
S4DEPRES
S5DEPRES
S6DEPRES
S7DEPRES
S8DEPRES
S9DEPRES
S10DEPRES
S11DEPRES
11934
10797
12563
11316
10269
11734
10931
9985
12690
11832
0.14
0.13
0.14
0.14
0.14
0.13
0.13
0.10
0.11
0.11
0.35
0.33
0.35
0.35
0.35
0.34
0.34
0.31
0.31
0.32
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R1EFFORX
12652
3.45
0.84
1.0
4.0
S1EFFORX
9900
3.50
0.80
1.0
4.0
R2EFFORT
R3EFFORT
R4EFFORT
R5EFFORT
R6EFFORT
R7EFFORT
R8EFFORT
R9EFFORT
R10EFFORT
R11EFFORT
18041
16332
19318
17501
16110
18262
17166
16055
20616
19364
0.24
0.22
0.26
0.24
0.26
0.25
0.26
0.23
0.27
0.26
0.43
0.42
0.44
0.43
0.44
0.43
0.44
0.42
0.45
0.44
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2EFFORT
S3EFFORT
S4EFFORT
S5EFFORT
S6EFFORT
S7EFFORT
S8EFFORT
S9EFFORT
S10EFFORT
S11EFFORT
11932
10796
12557
11317
10273
11730
10927
9980
12683
11814
0.21
0.19
0.24
0.21
0.22
0.21
0.23
0.19
0.24
0.23
0.41
0.39
0.42
0.41
0.42
0.41
0.42
0.40
0.43
0.42
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
Section B: Health
414
R1SLEEPX
12652
3.33
0.84
1.0
4.0
S1SLEEPX
9900
3.36
0.81
1.0
4.0
R2SLEEPR
R3SLEEPR
R4SLEEPR
R5SLEEPR
R6SLEEPR
R7SLEEPR
R8SLEEPR
R9SLEEPR
R10SLEEPR
R11SLEEPR
18060
16347
19322
17506
16108
18269
17189
16067
20626
19377
0.31
0.28
0.35
0.33
0.28
0.29
0.30
0.32
0.31
0.33
0.46
0.45
0.48
0.47
0.45
0.45
0.46
0.47
0.46
0.47
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2SLEEPR
S3SLEEPR
S4SLEEPR
S5SLEEPR
S6SLEEPR
S7SLEEPR
S8SLEEPR
S9SLEEPR
S10SLEEPR
S11SLEEPR
11931
10802
12561
11317
10268
11733
10936
9985
12688
11823
0.29
0.26
0.33
0.32
0.26
0.27
0.27
0.31
0.29
0.31
0.45
0.44
0.47
0.47
0.44
0.44
0.45
0.46
0.45
0.46
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R1WHAPPX
12652
1.91
0.80
1.0
4.0
S1WHAPPX
9900
1.85
0.77
1.0
4.0
R2WHAPPY
R3WHAPPY
R4WHAPPY
R5WHAPPY
R6WHAPPY
R7WHAPPY
R8WHAPPY
R9WHAPPY
R10WHAPPY
R11WHAPPY
18031
16325
19316
17495
16094
18227
17156
16058
20594
19346
0.88
0.89
0.86
0.87
0.87
0.87
0.86
0.86
0.85
0.86
0.32
0.32
0.34
0.33
0.33
0.34
0.34
0.34
0.36
0.35
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2WHAPPY
S3WHAPPY
S4WHAPPY
S5WHAPPY
S6WHAPPY
S7WHAPPY
S8WHAPPY
S9WHAPPY
S10WHAPPY
S11WHAPPY
11920
10790
12558
11311
10266
11712
10917
9983
12672
11808
0.90
0.91
0.89
0.90
0.90
0.89
0.89
0.89
0.88
0.88
0.29
0.29
0.31
0.31
0.30
0.31
0.31
0.31
0.33
0.32
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R1FLONEX
12652
3.70
0.62
1.0
4.0
S1FLONEX
9900
3.78
0.53
1.0
4.0
18065
16342
19322
17503
16108
18271
0.16
0.16
0.18
0.18
0.18
0.17
0.36
0.37
0.38
0.39
0.39
0.38
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
R2FLONE
R3FLONE
R4FLONE
R5FLONE
R6FLONE
R7FLONE
Section B: Health
415
R8FLONE
R9FLONE
R10FLONE
R11FLONE
17183
16064
20631
19384
0.18
0.16
0.17
0.17
0.38
0.37
0.38
0.38
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
S2FLONE
S3FLONE
S4FLONE
S5FLONE
S6FLONE
S7FLONE
S8FLONE
S9FLONE
S10FLONE
S11FLONE
11934
10801
12562
11315
10269
11736
10932
9985
12690
11832
0.08
0.09
0.11
0.11
0.10
0.10
0.10
0.09
0.10
0.10
0.28
0.29
0.31
0.31
0.29
0.30
0.30
0.29
0.31
0.30
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R1FSADX
12652
3.60
0.62
1.0
4.0
S1FSADX
9900
3.64
0.58
1.0
4.0
R2FSAD
R3FSAD
R4FSAD
R5FSAD
R6FSAD
R7FSAD
R8FSAD
R9FSAD
R10FSAD
R11FSAD
18055
16340
19318
17502
16107
18265
17177
16061
20628
19374
0.17
0.16
0.20
0.22
0.21
0.21
0.20
0.18
0.19
0.20
0.38
0.37
0.40
0.41
0.41
0.40
0.40
0.38
0.39
0.40
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2FSAD
S3FSAD
S4FSAD
S5FSAD
S6FSAD
S7FSAD
S8FSAD
S9FSAD
S10FSAD
S11FSAD
11928
10798
12559
11316
10268
11732
10928
9981
12690
11821
0.13
0.13
0.17
0.18
0.17
0.17
0.16
0.14
0.15
0.15
0.34
0.34
0.37
0.38
0.38
0.37
0.37
0.35
0.36
0.36
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R1GOINGX
12652
3.48
0.74
1.0
4.0
S1GOINGX
9900
3.51
0.72
1.0
4.0
R2GOING
R3GOING
R4GOING
R5GOING
R6GOING
R7GOING
R8GOING
R9GOING
R10GOING
R11GOING
18044
16335
19310
17501
16103
18247
17167
16051
20576
19322
0.21
0.19
0.23
0.22
0.23
0.21
0.22
0.20
0.21
0.21
0.41
0.40
0.42
0.42
0.42
0.41
0.41
0.40
0.41
0.41
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2GOING
S3GOING
S4GOING
S5GOING
S6GOING
S7GOING
11927
10796
12554
11315
10265
11720
0.18
0.17
0.21
0.20
0.20
0.18
0.38
0.37
0.41
0.40
0.40
0.39
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
Section B: Health
416
S8GOING
S9GOING
S10GOING
S11GOING
10926
9974
12665
11790
0.18
0.18
0.19
0.18
0.39
0.38
0.39
0.38
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
R1ENLIFX
12652
1.62
0.77
1.0
4.0
S1ENLIFX
9900
1.59
0.73
1.0
4.0
R2ENLIFE
R3ENLIFE
R4ENLIFE
R5ENLIFE
R6ENLIFE
R7ENLIFE
R8ENLIFE
R9ENLIFE
R10ENLIFE
R11ENLIFE
18034
16329
19310
17496
16101
18254
17174
16049
20617
19351
0.92
0.93
0.92
0.92
0.93
0.92
0.92
0.91
0.91
0.91
0.26
0.25
0.28
0.27
0.26
0.27
0.28
0.28
0.29
0.29
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
S2ENLIFE
S3ENLIFE
S4ENLIFE
S5ENLIFE
S6ENLIFE
S7ENLIFE
S8ENLIFE
S9ENLIFE
S10ENLIFE
S11ENLIFE
11922
10794
12556
11315
10270
11727
10925
9979
12690
11817
0.94
0.94
0.93
0.93
0.94
0.94
0.93
0.93
0.93
0.93
0.24
0.23
0.25
0.25
0.23
0.25
0.25
0.25
0.26
0.26
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
R2CESD
R3CESD
R4CESD
R5CESD
R6CESD
R7CESD
R8CESD
R9CESD
R10CESD
R11CESD
18070
16347
19329
17509
16125
18283
17198
16075
20647
19401
1.47
1.36
1.62
1.58
1.54
1.50
1.54
1.45
1.53
1.54
2.00
1.90
1.95
1.93
1.98
1.99
2.01
1.98
2.04
2.05
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
S2CESD
S3CESD
S4CESD
S5CESD
S6CESD
S7CESD
S8CESD
S9CESD
S10CESD
S11CESD
11937
10802
12566
11318
10278
11742
10938
9989
12695
11836
1.19
1.12
1.37
1.32
1.25
1.24
1.26
1.19
1.27
1.27
1.81
1.72
1.80
1.79
1.79
1.82
1.82
1.78
1.86
1.86
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
R1CESDM
R2CESDM
R3CESDM
R4CESDM
R5CESDM
R6CESDM
R7CESDM
R8CESDM
R9CESDM
R10CESDM
12652
19642
17991
21384
19579
18165
20129
18469
17217
22034
0.04
0.65
0.74
0.77
0.85
0.91
0.74
0.56
0.54
0.52
0.50
2.17
2.31
2.36
2.46
2.53
2.31
2.03
1.99
1.94
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
Section B: Health
417
R11CESDM
20554
0.46
1.84
0.0
8.0
S1CESDM
S2CESDM
S3CESDM
S4CESDM
S5CESDM
S6CESDM
S7CESDM
S8CESDM
S9CESDM
S10CESDM
S11CESDM
9900
13088
11915
13978
12730
11639
12972
11735
10646
13517
12490
0.05
0.71
0.75
0.81
0.89
0.94
0.77
0.55
0.50
0.49
0.43
0.53
2.27
2.33
2.41
2.51
2.57
2.35
2.02
1.93
1.91
1.78
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
8.0
Categorical Variable Codes
Value----------------------|R1DEPREX
1. All or almost all
|298
2. Most of the time
|371
3. Some of the time
|3090
4. None or almost none
|8893
Value----------------------|S1DEPREX
.U=Unmar
|2373
.V=Sp NR
|379
1. All or almost all
|186
2. Most of the time
|237
3. Some of the time
|2252
4. None or almost none
|7225
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
0.no
|
1.yes
|
R2DEPRES R3DEPRES R4DEPRES
13
7
5
2
9
6
3
9
1565
1640
2043
14805
13749
15946
3253
2590
3372
R5DEPRES
6
6
2
2062
14378
3125
R6DEPRES R7DEPRES R8DEPRES
15
9
13
36
3
4
11
9
2036
1802
1260
13291
15329
14316
2819
2942
2868
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.no
|
1.yes
|
S2DEPRES S3DEPRES S4DEPRES
4
4
1
2
3
2
1
4
1148
1111
1407
5970
5658
6869
584
418
537
10204
9428
10756
1730
1369
1807
S5DEPRES S6DEPRES S7DEPRES
3
9
5
1
23
2
7
1410
1359
1203
6538
6306
6777
311
220
380
9716
8834
10213
1600
1435
1521
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
0.no
|
1.yes
|
R2EFFORT R3EFFORT R4EFFORT
27
14
9
1
11
9
4
3
1565
1640
2043
13689
12693
14244
4352
3639
5074
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
S2EFFORT S3EFFORT S4EFFORT
6
6
7
1
5
2
1
2
1148
1111
1407
R9DEPRES
9
1
1140
13941
2126
S8DEPRES
5
1
6
792
6417
317
9482
1449
S9DEPRES
4
R5EFFORT
7
7
2
2062
13303
4198
R6EFFORT R7EFFORT R8EFFORT
13
17
29
36
3
6
12
11
2036
1802
1260
11953
13771
12652
4157
4491
4514
R9EFFORT
19
S5EFFORT
1
1
1
1410
S6EFFORT S7EFFORT S8EFFORT
5
8
9
23
1
2
8
6
1359
1203
792
657
6206
365
8945
1040
R10DEPRES
13
3
3
1382
17800
2833
R11DEPRES
14
6
7
1140
16650
2737
S10DEPRES
4
3
2
818
7795
722
11297
1393
S11DEPRES
4
5
4
645
7473
591
10506
1326
R10EFFORT
27
3
6
1382
14973
5643
R11EFFORT
33
6
11
1140
14290
5074
S10EFFORT
10
3
3
818
S11EFFORT
18
5
8
645
Value----------------------|R1EFFORX
1. All or almost all
|626
2. Most of the time
|971
3. Some of the time
|3090
4. None or almost none
|7965
Value----------------------|S1EFFORX
.U=Unmar
|2373
.V=Sp NR
|379
1. All or almost all
|429
2. Most of the time
|658
3. Some of the time
|2359
4. None or almost none
|6454
3
1140
12397
3658
S9EFFORT
8
1
657
Section B: Health
.U=Unmar
.V=Sp NR
0.no
1.yes
418
|
|
|
|
5970
584
9454
2478
5658
418
8711
2085
6869
537
9603
2954
6538
311
8922
2395
6306
220
7974
2299
6777
380
9213
2517
6417
317
8393
2534
6206
365
8043
1937
7795
722
9649
3034
7473
591
9129
2685
R9SLEEPR
9
R10SLEEPR
20
3
3
1382
14241
6385
R11SLEEPR
24
6
7
1140
12980
6397
S10SLEEPR
7
3
1
818
7795
722
9043
3645
S11SLEEPR
12
5
5
645
7473
591
8172
3651
R10WHAPPY
44
3
11
1382
3068
17526
R11WHAPPY
52
6
10
1140
2791
16555
S10WHAPPY
18
3
6
818
7795
722
1532
11140
S11WHAPPY
27
5
5
645
7473
591
1362
10446
Value----------------------|R1SLEEPX
1. All or almost all
|692
2. Most of the time
|1011
3. Some of the time
|4400
4. None or almost none
|6549
Value----------------------|S1SLEEPX
.U=Unmar
|2373
.V=Sp NR
|379
1. All or almost all
|471
2. Most of the time
|733
3. Some of the time
|3503
4. None or almost none
|5193
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
0.no
|
1.yes
|
R2SLEEPR R3SLEEPR R4SLEEPR
15
3
1
12
2
3
4
1565
1640
2043
12460
11833
12613
5600
4514
6709
R5SLEEPR
3
6
2
2062
11683
5823
R6SLEEPR R7SLEEPR R8SLEEPR
15
11
11
36
3
6
11
6
2036
1802
1260
11592
12954
12111
4516
5315
5078
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.no
|
1.yes
|
S2SLEEPR S3SLEEPR S4SLEEPR
8
2
1
6
1
1
2
1148
1111
1407
5970
5658
6869
584
418
537
8528
8010
8428
3403
2792
4133
S5SLEEPR
1
1
1
1410
6538
311
7736
3581
S6SLEEPR S7SLEEPR S8SLEEPR
9
6
2
23
1
3
7
4
1359
1203
792
6306
6777
6417
220
380
317
7581
8566
7936
2687
3167
3000
S9SLEEPR
4
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
0.no
|
1.yes
|
R2WHAPPY R3WHAPPY R4WHAPPY
39
16
7
4
14
7
6
4
1565
1640
2043
2119
1825
2616
15912
14500
16700
R5WHAPPY
12
7
3
2062
2211
15284
R6WHAPPY R7WHAPPY R8WHAPPY
28
47
38
36
3
7
17
12
2036
1802
1260
2048
2397
2324
14046
15830
14832
R9WHAPPY
17
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.no
|
1.yes
|
S2WHAPPY S3WHAPPY S4WHAPPY
16
8
4
4
6
4
2
3
1148
1111
1407
5970
5658
6869
584
418
537
1141
991
1387
10779
9799
11171
S5WHAPPY
7
1
1
1410
6538
311
1184
10127
S6WHAPPY S7WHAPPY S8WHAPPY
11
24
17
23
1
3
10
8
1359
1203
792
6306
6777
6417
220
380
317
1051
1284
1181
9215
10428
9736
S9WHAPPY
6
1
1140
10878
5189
657
6206
365
6928
3057
Value----------------------|R1WHAPPX
1. All or almost all
|4265
2. Most of the time
|5747
3. Some of the time
|2200
4. None or almost none
|440
Value----------------------|S1WHAPPX
.U=Unmar
|2373
.V=Sp NR
|379
1. All or almost all
|3510
2. Most of the time
|4578
3. Some of the time
|1551
4. None or almost none
|261
Value----------------------|R1FLONEX
1. All or almost all
|249
2. Most of the time
|358
3. Some of the time
|2377
4. None or almost none
|9668
Value----------------------|S1FLONEX
.U=Unmar
|2373
.V=Sp NR
|379
1. All or almost all
|111
2. Most of the time
|179
3. Some of the time
|1530
2
1140
2172
13886
657
6206
365
1085
8898
Section B: Health
4. None or almost none
419
|8080
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
0.no
|
1.yes
|
R2FLONE
8
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.no
|
1.yes
|
S2FLONE
4
4
1565
15235
2830
2
1148
5970
584
10935
999
R3FLONE
3
2
4
1640
13742
2600
R4FLONE
2
14
3
2043
15864
3458
R5FLONE
6
6
2
2062
14281
3222
R6FLONE
15
S3FLONE
S5FLONE
3
1
1
1410
6538
311
10106
1209
S6FLONE
9
2
1
1111
5658
418
9819
982
S4FLONE
1
6
2
1407
6869
537
11229
1333
R3FSAD
4
4
3
1640
13646
2694
R4FSAD
4
15
4
2043
15415
3903
R5FSAD
7
6
2
2062
13734
3768
R6FSAD
15
S3FSAD
2
3
1
1111
5658
418
9392
1406
S4FSAD
2
7
3
1407
6869
537
10475
2084
S5FSAD
2
1
1
1410
6538
311
9311
2005
S6FSAD
9
R3GOING
10
1
5
1640
13174
3161
R4GOING
11
16
4
2043
14796
4514
R5GOING
7
7
2
2062
13610
3891
R6GOING
18
S3GOING
5
1
2
1111
5658
418
S4GOING
6
8
3
1407
6869
537
S5GOING
3
1
1
1410
6538
311
S6GOING
11
6
2036
13182
2926
2
1359
6306
220
9281
988
R7FLONE
7
36
13
1802
15075
3196
R8FLONE
14
3
9
1260
14139
3044
R9FLONE
11
S7FLONE
3
23
7
1203
6777
380
10543
1193
S8FLONE
4
1
6
792
6417
317
9802
1130
S9FLONE
4
R7FSAD
13
36
13
1802
14497
3768
R8FSAD
21
3
8
1260
13719
3458
R9FSAD
15
S7FSAD
6
23
8
1203
6777
380
9779
1953
S8FSAD
8
1
6
792
6417
317
9189
1739
S9FSAD
8
R7GOING
30
36
14
1802
14371
3876
R8GOING
30
3
9
1260
13463
3704
R9GOING
24
S7GOING
17
23
9
1203
6777
380
S8GOING
10
1
6
792
6417
317
S9GOING
14
2
1140
13479
2585
657
6206
365
9090
895
R10FLONE
14
3
4
1382
17110
3521
R11FLONE
16
6
8
1140
16014
3370
S10FLONE
4
3
2
818
7795
722
11365
1325
S11FLONE
4
5
4
645
7473
591
10608
1224
R10FSAD
16
3
5
1382
16660
3968
R11FSAD
24
6
10
1140
15560
3814
S10FSAD
5
3
1
818
7795
722
10747
1943
S11FSAD
14
5
5
645
7473
591
9991
1830
R10GOING
63
3
10
1382
16284
4292
R11GOING
77
6
9
1140
15319
4003
S10GOING
27
3
4
818
7795
722
S11GOING
44
5
6
645
7473
591
Value----------------------|R1FSADX
1. All or almost all
|202
2. Most of the time
|345
3. Some of the time
|3752
4. None or almost none
|8353
Value----------------------|S1FSADX
.U=Unmar
|2373
.V=Sp NR
|379
1. All or almost all
|107
2. Most of the time
|228
3. Some of the time
|2770
4. None or almost none
|6795
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
0.no
|
1.yes
|
R2FSAD
14
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.no
|
1.yes
|
S2FSAD
7
8
1565
14936
3119
5
1148
5970
584
10340
1588
7
2036
12693
3414
3
1359
6306
220
8522
1746
1
1140
13155
2906
657
6206
365
8573
1408
Value----------------------|R1GOINGX
1. All or almost all
|412
2. Most of the time
|640
3. Some of the time
|4037
4. None or almost none
|7563
Value----------------------|S1GOINGX
.U=Unmar
|2373
.V=Sp NR
|379
1. All or almost all
|286
2. Most of the time
|441
3. Some of the time
|3129
4. None or almost none
|6044
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
0.no
|
1.yes
|
R2GOING
28
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
S2GOING
12
5
1565
14202
3842
1
1148
5970
584
8
2036
12405
3698
4
1359
6306
220
2
1140
12797
3254
1
657
6206
365
Section B: Health
0.no
1.yes
420
|
|
9772
2155
8987
1809
9879
2675
9045
2270
8198
2067
9566
2154
8915
2011
8211
1763
10317
2348
9681
2109
R9ENLIFE
25
R10ENLIFE
22
3
10
1382
1920
18697
R11ENLIFE
45
6
12
1140
1769
17582
S10ENLIFE
5
3
1
818
7795
722
935
11755
S11ENLIFE
16
5
7
645
7473
591
833
10984
Value----------------------|R1ENLIFX
1. All or almost all
|6680
2. Most of the time
|4359
3. Some of the time
|1307
4. None or almost none
|306
Value----------------------|S1ENLIFX
.U=Unmar
|2373
.V=Sp NR
|379
1. All or almost all
|5372
2. Most of the time
|3433
3. Some of the time
|913
4. None or almost none
|182
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
0.no
|
1.yes
|
R2ENLIFE R3ENLIFE R4ENLIFE
39
13
12
3
15
4
6
4
1565
1640
2043
1359
1131
1595
16675
15198
17715
R5ENLIFE
10
7
4
2062
1386
16110
R6ENLIFE R7ENLIFE R8ENLIFE
21
23
21
36
3
7
14
11
2036
1802
1260
1174
1460
1434
14927
16794
15740
Value----------------------|
.D=DK/NA
|
.M=Oth missing
|
.R=RF
|
.S=Skip
|
.U=Unmar
|
.V=Sp NR
|
0.no
|
1.yes
|
S2ENLIFE S3ENLIFE S4ENLIFE
15
7
5
2
7
3
1
3
1148
1111
1407
5970
5658
6869
584
418
537
731
628
861
11191
10166
11695
S5ENLIFE
2
1
2
1410
6538
311
749
10566
S6ENLIFE S7ENLIFE S8ENLIFE
8
11
10
23
1
2
8
7
1359
1203
792
6306
6777
6417
220
380
317
586
754
721
9684
10973
10204
3
1140
1390
14659
S9ENLIFE
10
657
6206
365
672
9307
How Constructed:
RwDEPRES, RwEFFORT, RwSLEEPR, RwFLONE, RwFSAD, RwGOING, RwWHAPPY, and RwENLIFE are yes/no indicators of
the respondent's feelings much of the time over the week prior to the interview. RwCESD is a summary of
these measures. RwCESDM indicates how many individual measures used to derive RwCESD are missing.
SwDEPRES, SwEFFORT, SwSLEEPR, SwFLONE, SwFSAD, SwGOING, SwWHAPPY, SwENLIFE, SwCESD, and SwCESDM are this
information for the respondent's spouse or partner.
To make consistent measures across waves yes/no dummy variables were derived. In all except Wave 1, the
question has a yes or no response to whether the respondent felt a certain way 'much of the time'. For
Wave 1, the response could be one of four categories: all or almost all of the time, most of the time,
some of the time, or none or almost none of the time. The measures in this wave are not recoded to 0/1
(no/yes), but are recoded to the 4-point scale. These measures were imputed by HRS if missing in Wave 1,
and the imputations were used. Because the Wave 1 variables are very different from those in other
waves, the variables are named differently, i.e., they are R1DEPREX, R1EFFORX, R1SLEEPX, R1FLONEX,
R1FSADX, R1GOINGX, R1WHAPPX, and R1ENLIFX. The spouse measures are called S1DEPREX, S1EFFORX, S1SLEEPX,
S1FLONEX, S1FSADX, S1GOINGX, S1WHAPPX, and S1ENLIFX.
It appears 'much of the time' in later waves is somewhere between 'some' and 'most' of the time in Wave
1. Another variable in the HRS (but not on this file) rates overall emotional health and is asked in
Waves 1 and 2H. A possible means for making these measures more consistent between Wave 1 and the rest
of the waves is to use those who gave the same emotional health in both Waves 1 and 2H, comparing their
answers of some and yes by level of emotional health.
RwCESD is the sum of RwDEPRES, RwEFFORT, RwSLEEPR, RwFLONE, RwFSAD, RwGOING, (1-RwWHAPPY) and (1RwENLIFE). Thus the higher the score, the more negative the respondent's feelings in the past week.
RwCESDM counts the number of missing values among the individual measures. In Wave 1 the R1CESD summary
measure is not included; R1CESDM counts the number of imputed values used among the Wave 1 measures.
The spouse variables are taken from the Wave 'w' spouse's self-reported information, e.g., S3CESD is
taken from the Wave 3 spouse's R3CESD.
Cross Wave Differences in Original HRS Data
Section B: Health
421
In each wave questions ask about the respondent's feelings in the past week.
questions varies slightly across waves.
The wording of the
In Wave 1, the questions begin:
Please tell me how often you have experienced the following feelings during the past week-all or almost
all of the time, most of the time, some of the time, or none or almost none of the time. During the past
week ...
A series of statements follow and the respondent answers with one of the four frequencies listed in the
question.
Beginning in Wave 2, the questions start:
Now think about the past week and the feelings you have experienced. Please tell me if each of the
following was true for you much of the time this past week. Much of the time during the past week ...
A series of statements follow to which the respondent can answer yes or no. Note that the responses
given in Wave 1 are very different and not very comparable to those given in later waves.
The statements are similar across waves. They state that the respondent felt depressed, felt that
everything he/she did was an effort, sleep was restless, could not get going, felt lonely, enjoyed life,
felt sad, and was happy.
HRS Variables Used
V10519
V10520
V10521
V10522
V10523
V10525
V10526
V10528
V519
V520
V521
V522
V523
V525
V526
V528
AHEAD 1993:
B307
B309
B310
B311
B312
B314
B315
B316
HRS 1994:
W465
W466
W467
W468
W469
W470
W471
W472
AHEAD 1995:
D1001
D985
B44A:DEPRESSION
:IND
B44B:EVERYTHING TIRI:IND
B44C:RESTLESS SLEEP :IND
B44D:HAPPINESS
:IND
B44E:LONLINESS
:IND
B44G:ENJOYED LIFE
:IND
B44H:SADNESS
:IND
B44K:CAN'T GET GOIN:IND
B44A:DEPRESSION
:IMP
B44B:EVERYTHING TIRI:IMP
B44C:RESTLESS SLEEP :IMP
B44D:HAPPINESS
:IMP
B44E:LONLINESS
:IMP
B44G:ENJOYED LIFE
:IMP
B44H:SADNESS
:IMP
B44K:CAN T GET GOIN:IMP
B24. CESD DEPRESSED PAST WEEK
B24a. CESD EFFORT PAST WEEK
B24b. CESD SLEEP PAST WEEK
B24c. CESD HAPPY PAST WEEK
B24d. CESD LONELY PAST WEEK
B24f. CESD ENJOY LIFE PAST WEEK
B24g. CESD SAD PAST WEEK
B24h. CESD NOT GET GOING PAST WEEK
B46a.FELT DEPRESSED
B46b.EVERYTHING AN EFFOR
B46c.SLEEP RESTLESS
B46d.COULD NOT GET GOING
B46e.FELT LONELY
B46f.ENJOY LIFE
B46g.FELT SAD
B46h.HAPPY
B24H. CESD GOING
B24. CESD DEPRESSED
Section B: Health
HRS
HRS
HRS
HRS
HRS
HRS
HRS
D987
D989
D991
D993
D995
D999
1996:
E985
E986
E987
E988
E989
E990
E991
E992
1998:
F1493
F1494
F1495
F1496
F1497
F1498
F1499
F1500
2000:
G1669
G1670
G1671
G1672
G1673
G1674
G1675
G1676
2002:
HD110
HD111
HD112
HD113
HD114
HD115
HD116
HD117
2004:
JD110
JD111
JD112
JD113
JD114
JD115
JD116
JD117
2006:
KD110
KD111
KD112
KD113
KD114
KD115
KD116
KD117
2008:
LD110
LD111
422
B24A.
B24B.
B24C.
B24D.
B24E.
B24G.
CESD
CESD
CESD
CESD
CESD
CESD
EFFORT
SLEEP
HAPPY
LONELY
ENJOY LIFE
SAD
B24. CESD DEPRESSED
B24A. CESD EFFORT
B24B. CESD SLEEP
B24C. CESD HAPPY
B24D. CESD LONELY
B24E. CESD ENJOY LIFE
B24G. CESD SAD
B24H. CESD GOING
C5. CESD DEPRESSED
C5A. CESD EFFORT
C5B. CESD SLEEP
C5C. CESD HAPPY
C5D. CESD LONELY
C5E. CESD ENJOY LIFE
C5G. CESD SAD
CFH. CESD GOING
C5. CESD DEPRESSED
C5A. CESD EFFORT
C5B. CESD SLEEP
C5C. CESD HAPPY
C5D. CESD LONELY
C5E. CESD ENJOY LIFE
C5G. CESD SAD
CFH. CESD GOING
FEELING DEPRESSED W/IN PREV WK
FELT ACTIVITIES WERE EFFORTS
WAS SLEEP RESTLESS W/IN PREV WK
WAS R HAPPY W/IN PREV WK
LONELINESS FELT W/IN PREV WK
ENJOYED LIFE W/IN PREV WK
FELT SAD W/IN PREV WK
FELT UNMOTIVATED W/IN PREV WK
FEELING DEPRESSED W/IN PREV WK
FELT ACTIVITIES WERE EFFORTS
WAS SLEEP RESTLESS W/IN PREV WK
WAS R HAPPY W/IN PREV WK
LONELINESS FELT W/IN PREV WK
ENJOYED LIFE W/IN PREV WK
FELT SAD W/IN PREV WK
FELT UNMOTIVATED W/IN PREV WK
FEELING DEPRESSED W/IN PREV WK
FELT ACTIVITIES WERE EFFORTS
WAS SLEEP RESTLESS W/IN PREV WK
WAS R HAPPY W/IN PREV WK
LONELINESS FELT W/IN PREV WK
ENJOYED LIFE W/IN PREV WK
FELT SAD W/IN PREV WK
FELT UNMOTIVATED W/IN PREV WK
FEELING DEPRESSED W/IN PREV WK
FELT ACTIVITIES WERE EFFORTS
Section B: Health
LD112
LD113
LD114
LD115
LD116
LD117
HRS 2010:
MD110
MD111
MD112
MD113
MD114
MD115
MD116
MD117
HRS 2012:
ND110
ND111
ND112
ND113
ND114
ND115
ND116
ND117
423
WAS SLEEP RESTLESS W/IN PREV WK
WAS R HAPPY W/IN PREV WK
LONELINESS FELT W/IN PREV WK
ENJOYED LIFE W/IN PREV WK
FELT SAD W/IN PREV WK
FELT UNMOTIVATED W/IN PREV WK
FEELING DEPRESSED W/IN PREV WK
FELT ACTIVITIES WERE EFFORTS
WAS SLEEP RESTLESS W/IN PREV WK
WAS R HAPPY W/IN PREV WK
LONELINESS FELT W/IN PREV WK
ENJOYED LIFE W/IN PREV WK
FELT SAD W/IN PREV WK
FELT UNMOTIVATED W/IN PREV WK
FEELING DEPRESSED W/IN PREV WK
FELT ACTIVITIES WERE EFFORTS
WAS SLEEP RESTLESS W/IN PREV WK
WAS R HAPPY W/IN PREV WK
LONELINESS FELT W/IN PREV WK
ENJOYED LIFE W/IN PREV WK
FELT SAD W/IN PREV WK
FELT UNMOTIVATED W/IN PREV WK
Section B: Health
424
Doctor diagnosed health problems: Raw Recodes and Question Wording
Wave
Variable
Label
Type
1
2
3
4
5
6
7
8
9
10
11
R1HIBP
R2HIBP
R3HIBP
R4HIBP
R5HIBP
R6HIBP
R7HIBP
R8HIBP
R9HIBP
R10HIBP
R11HIBP
R1HIBP:W1 R
R2HIBP:W2 R
R3HIBP:W3 R
R4HIBP:W4 R
R5HIBP:W5 R
R6HIBP:W6 R
R7HIBP:W7 R
R8HIBP:W8 R
R9HIBP:W9 R
R10HIBP:W10
R11HIBP:W11
reports high BP this wv
reports high BP this wv
reports high BP this wv
reports high BP this wv
reports high BP this wv
reports high BP this wv
reports high BP this wv
reports high BP this wv
reports high BP this wv
R reports high BP this wv
R reports high BP this wv
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1HIBP
S2HIBP
S3HIBP
S4HIBP
S5HIBP
S6HIBP
S7HIBP
S8HIBP
S9HIBP
S10HIBP
S11HIBP
S1HIBP:W1 S
S2HIBP:W2 S
S3HIBP:W3 S
S4HIBP:W4 S
S5HIBP:W5 S
S6HIBP:W6 S
S7HIBP:W7 S
S8HIBP:W8 S
S9HIBP:W9 S
S10HIBP:W10
S11HIBP:W11
reports high BP this wv
reports high BP this wv
reports high BP this wv
reports high BP this wv
reports high BP this wv
reports high BP this wv
reports high BP this wv
reports high BP this wv
reports high BP this wv
S reports high BP this wv
S reports high BP this wv
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
R1HIBPQ
R2HIBPQ
R3HIBPQ
R4HIBPQ
R5HIBPQ
R6HIBPQ
R7HIBPQ
R8HIBPQ
R9HIBPQ
R10HIBPQ
R11HIBPQ
R1HIBPQ:W1 Q-wording high BP this wv
R2HIBPQ:W2 Q-wording high BP this wv
R3HIBPQ:W3 Q-wording high BP this wv
R4HIBPQ:W4 Q-wording high BP this wv
R5HIBPQ:W5 Q-wording high BP this wv
R6HIBPQ:W6 Q-wording high BP this wv
R7HIBPQ:W7 Q-wording high BP this wv
R8HIBPQ:W8 Q-wording high BP this wv
R9HIBPQ:W9 Q-wording high BP this wv
R10HIBPQ:W10 Q-wording high BP this wv
R11HIBPQ:W11 Q-wording high BP this wv
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1HIBPQ
S2HIBPQ
S3HIBPQ
S4HIBPQ
S5HIBPQ
S6HIBPQ
S7HIBPQ
S8HIBPQ
S9HIBPQ
S10HIBPQ
S11HIBPQ
S1HIBPQ:W1 Q-wording high BP this wv
S2HIBPQ:W2 Q-wording high BP this wv
S3HIBPQ:W3 Q-wording high BP this wv
S4HIBPQ:W4 Q-wording high BP this wv
S5HIBPQ:W5 Q-wording high BP this wv
S6HIBPQ:W6 Q-wording high BP this wv
S7HIBPQ:W7 Q-wording high BP this wv
S8HIBPQ:W8 Q-wording high BP this wv
S9HIBPQ:W9 Q-wording high BP this wv
S10HIBPQ:W10 Q-wording high BP this wv
S11HIBPQ:W11 Q-wording high BP this wv
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
R1DIAB
R2DIAB
R3DIAB
R4DIAB
R5DIAB
R6DIAB
R7DIAB
R8DIAB
R9DIAB
R1DIAB:W1
R2DIAB:W2
R3DIAB:W3
R4DIAB:W4
R5DIAB:W5
R6DIAB:W6
R7DIAB:W7
R8DIAB:W8
R9DIAB:W9
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
R
R
R
R
R
R
R
R
R
reports
reports
reports
reports
reports
reports
reports
reports
reports
diabetes
diabetes
diabetes
diabetes
diabetes
diabetes
diabetes
diabetes
diabetes
this
this
this
this
this
this
this
this
this
wv
wv
wv
wv
wv
wv
wv
wv
wv
Section B: Health
425
10
11
R10DIAB
R11DIAB
R10DIAB:W10 R reports diabetes this wv
R11DIAB:W11 R reports diabetes this wv
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1DIAB
S2DIAB
S3DIAB
S4DIAB
S5DIAB
S6DIAB
S7DIAB
S8DIAB
S9DIAB
S10DIAB
S11DIAB
S1DIAB:W1 S
S2DIAB:W2 S
S3DIAB:W3 S
S4DIAB:W4 S
S5DIAB:W5 S
S6DIAB:W6 S
S7DIAB:W7 S
S8DIAB:W8 S
S9DIAB:W9 S
S10DIAB:W10
S11DIAB:W11
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
R1DIABQ
R2DIABQ
R3DIABQ
R4DIABQ
R5DIABQ
R6DIABQ
R7DIABQ
R8DIABQ
R9DIABQ
R10DIABQ
R11DIABQ
R1DIABQ:W1 Q-wording diabetes this wv
R2DIABQ:W2 Q-wording diabetes this wv
R3DIABQ:W3 Q-wording diabetes this wv
R4DIABQ:W4 Q-wording diabetes this wv
R5DIABQ:W5 Q-wording diabetes this wv
R6DIABQ:W6 Q-wording diabetes this wv
R7DIABQ:W7 Q-wording diabetes this wv
R8DIABQ:W8 Q-wording diabetes this wv
R9DIABQ:W9 Q-wording diabetes this wv
R10DIABQ:W10 Q-wording diabetes this wv
R11DIABQ:W11 Q-wording diabetes this wv
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1DIABQ
S2DIABQ
S3DIABQ
S4DIABQ
S5DIABQ
S6DIABQ
S7DIABQ
S8DIABQ
S9DIABQ
S10DIABQ
S11DIABQ
S1DIABQ:W1 Q-wording diabetes this wv
S2DIABQ:W2 Q-wording diabetes this wv
S3DIABQ:W3 Q-wording diabetes this wv
S4DIABQ:W4 Q-wording diabetes this wv
S5DIABQ:W5 Q-wording diabetes this wv
S6DIABQ:W6 Q-wording diabetes this wv
S7DIABQ:W7 Q-wording diabetes this wv
S8DIABQ:W8 Q-wording diabetes this wv
S9DIABQ:W9 Q-wording diabetes this wv
S10DIABQ:W10 Q-wording diabetes this wv
S11DIABQ:W11 Q-wording diabetes this wv
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
R1CANCR
R2CANCR
R3CANCR
R4CANCR
R5CANCR
R6CANCR
R7CANCR
R8CANCR
R9CANCR
R10CANCR
R11CANCR
R1CANCR:W1 R
R2CANCR:W2 R
R3CANCR:W3 R
R4CANCR:W4 R
R5CANCR:W5 R
R6CANCR:W6 R
R7CANCR:W7 R
R8CANCR:W8 R
R9CANCR:W9 R
R10CANCR:W10
R11CANCR:W11
reports cancer this wv
reports cancer this wv
reports cancer this wv
reports cancer this wv
reports cancer this wv
reports cancer this wv
reports cancer this wv
reports cancer this wv
reports cancer this wv
R reports cancer this wv
R reports cancer this wv
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1CANCR
S2CANCR
S3CANCR
S4CANCR
S5CANCR
S6CANCR
S7CANCR
S8CANCR
S9CANCR
S10CANCR
S11CANCR
S1CANCR:W1 S
S2CANCR:W2 S
S3CANCR:W3 S
S4CANCR:W4 S
S5CANCR:W5 S
S6CANCR:W6 S
S7CANCR:W7 S
S8CANCR:W8 S
S9CANCR:W9 S
S10CANCR:W10
S11CANCR:W11
reports cancer this wv
reports cancer this wv
reports cancer this wv
reports cancer this wv
reports cancer this wv
reports cancer this wv
reports cancer this wv
reports cancer this wv
reports cancer this wv
S reports cancer this wv
S reports cancer this wv
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
reports diabetes this wv
reports diabetes this wv
reports diabetes this wv
reports diabetes this wv
reports diabetes this wv
reports diabetes this wv
reports diabetes this wv
reports diabetes this wv
reports diabetes this wv
S reports diabetes this wv
S reports diabetes this wv
Section B: Health
426
1
2
3
4
5
6
7
8
9
10
11
R1CANCRQ
R2CANCRQ
R3CANCRQ
R4CANCRQ
R5CANCRQ
R6CANCRQ
R7CANCRQ
R8CANCRQ
R9CANCRQ
R10CANCRQ
R11CANCRQ
R1CANCRQ:W1 Q-wording cancer this wv
R2CANCRQ:W2 Q-wording cancer this wv
R3CANCRQ:W3 Q-wording cancer this wv
R4CANCRQ:W4 Q-wording cancer this wv
R5CANCRQ:W5 Q-wording cancer this wv
R6CANCRQ:W6 Q-wording cancer this wv
R7CANCRQ:W7 Q-wording cancer this wv
R8CANCRQ:W8 Q-wording cancer this wv
R9CANCRQ:W9 Q-wording cancer this wv
R10CANCRQ:W10 Q-wording cancer this wv
R11CANCRQ:W11 Q-wording cancer this wv
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
Categ
1
2
3
4
5
6
7
8
9
10
11
S1CANCRQ
S2CANCRQ
S3CANCRQ
S4CANCRQ
S5CANCRQ
S6CANCRQ
S7CANCRQ
S8CANCRQ
S9CANCRQ
S10CANCRQ
S11CANCRQ
S1CANCRQ:W1 Q-wording cancer this wv
S2CANCRQ:W2 Q-wording cancer this wv
S3CANCRQ:W3 Q-wording cancer this wv
S4CANCRQ:W4 Q-wording cancer this wv
S5CANCRQ:W5 Q-wording cancer this wv
S6CANCRQ:W6 Q-wording cancer this wv
S7CANCRQ:W7 Q-wording cancer this wv
S8CANCRQ:W8 Q-wording cancer this wv
S9CANCRQ:W9 Q-wording cancer this wv
S10CANCRQ:W10 Q-wording cancer this wv
S11CANCRQ:W11 Q-wording cancer this wv
Categ
Categ
Categ
Categ