The Development of a Successful Household Panel Survey: The HILDA Experience Mark Wooden Project Director, HILDA Survey About HILDA: Introduction Funded and owned by Australian Government Multi-purpose survey – Modelled on other household panels – BHPS, SOEP Survey manager = Melbourne Institute of Applied Economic & Social Research (University of Melbourne) Fieldwork subcontractor = Roy Morgan Research Unit record data available (under license) Want to know more? Articles in The Economic Record, June 2007 and Australian Economic Review, September 2010 www.melbourneinstitute.com/hilda/ www.melbourneinstitute.com About HILDA: Key Design Features Commenced (in 2001) with national probability sample of households – Area-based clustered / stratified sample design Annual survey waves Follow all original hh members and offspring indefinitely Sample augmented with hh joiners Interview all “adults” – Face-to-face where possible – CAPI / CATI technology Refreshment (top-up) sample added in wave 11 Cash incentives paid www.melbourneinstitute.com Survey Instruments Household Form – Key identifiers / Changing HH membership / HH relationships / Reasons for non-response Household Questionnaire – Collects hh level data from relevant HH member Continuing Person Questionnaire – All persons 15+ who have previously been interviewed New Person Questionnaire – All persons 15+ who have never previously been interviewed Self-completion Questionnaire – All interview respondents; 16 pp, expanded to 20 from W5 www.melbourneinstitute.com What’s In It? HQ / CPQ Core: – – – – – – Child care Housing Education Employment status Job characteristics Job search – – – – – Calendar Income Family formation Partnering & relationships Living in Australia • Disability, Life satisfaction, Spatial mobility, Caring – Tracking – Interview situation Special “modules”: – – – – – – – – – – – – W1 (+NPQ) = Personal history W2 = Wealth W3 = Retirement W4 = Youth issues; Private health insurance W5 = Family formation W6 = Wealth W7 = Retirement; Lifestyle W8 = Family formation; Noncores. relationships W9 = Health W10 = Wealth W11 = Family formation; Retirement W12 = Skills & abilities; Noncores. relationships www.melbourneinstitute.com What’s In It? SCQ Health and well-being (SF36, Kessler 10, serious health conditions) Health behaviours (smoking, drinking, exercise, height / weight, diet) Social capital / relationships (satisfaction with family, social support, community participation, religion) Neighbourhood characteristics Life events Time use Finances (stressful financial events, savings habits, risk preference, h’hold expend) Job attributes Parenting (parenting stress / work family gains and strains) Attitudes to work / gender roles / marriage Personality www.melbourneinstitute.com Indicators of Success We are still going! – Funded renewed until wave 16 – And total funding has increased Response / attrition rates are good to excellent Data usage is high Strong evidence of validity www.melbourneinstitute.com Response in 2001 was good HH response – In-scope sample = 11,693 – 7682 cooperating households = 66% RR Individual response – W1 individual sample = 15,127 persons – 13,969 respondents = 92% RR Sample reasonably representative, but … – Sydney residents under-represented – People from a NESB under-represented – Males less likely to complete a PQ (but no less likely to be a CSM) www.melbourneinstitute.com Response in 2011 was better 80 70 60 50 40 30 20 10 0 HILDA Wave 1 (2001) HILDA Top-up (2011) USoc: UKHLS (2009-10) SOEP H (2006) www.melbourneinstitute.com Response in 2011 was better 80 70 60 50 40 30 20 10 0 HILDA Wave 1 (2001) HILDA Top-up (2011) USoc: UKHLS (2009-10) SOEP H (2006) www.melbourneinstitute.com Retention is High (Annual Re-interview Rates: HILDA, BHPS & GSOEP) 100 95 90 % BHPS* 85 GSOEP AB 80 75 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Wave www.melbourneinstitute.com Retention is High (Annual Re-interview Rates: HILDA, BHPS & GSOEP) 100 95 90 % HILDA 85 BHPS* GSOEP AB 80 75 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Wave www.melbourneinstitute.com Fieldwork Outcomes: W1 Adults 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% Dead Overseas Lost NR - not issued NR - non-contact NR - contact Respondent W2 W3 W4 W5 W6 W7 W8 W9 W10 www.melbourneinstitute.com Tracking Movers 22-23% of all hh’s change address b/w each survey wave Pre-field office activity – – – – Notifications (1800#, change of address card, email) Matching to Australia Post Returns to sender Move indicator variable Other household members Contact information collected at previous ivw Neighbours Other community resources Online White Pages www.melbourneinstitute.com Minimising Refusals MARKETING / RESPONDENT ENGAGEMENT PAL and brochure, newsletter / Stat report 1800 number PERSISTENCE 2-3 stage fieldwork NRs re-issued in later waves GOOD PEOPLE Selection and continuity of interviewers Training / interviewer engagement RESPONDENT INCENTIVES www.melbourneinstitute.com Data User Numbers Release Total data orders New users Cumulative total 1 204 204 202 2 265 169 373 3 279 157 530 4 329 176 706 5 387 196 902 6 401 176 1078 7 455 199 1277 8 431 125 1402 9 500 141 1543 10 (@19 July) 426 132 1675 www.melbourneinstitute.com Publication Count Year Journal articles Books / book chapters Other publications Working papers 2002 5 0 0 3 2003 6 2 2 8 2004 24 4 8 15 2005 24 3 8 21 2006 25 1 19 23 2007 35 0 11 35 2008 38 0 23 35 2009 47 7 27 35 2010 52 6 20 30 2011 64 0 36 42 2012 / forthcoming 52 0 17 14 TOTAL 372 23 171 261 www.melbourneinstitute.com Promoting Data Use Well-documented, user-friendly data sets User Manual Other on-line tools (e.g., PanelWhiz) Discussion Papers / Technical Papers User training and panel data analysis courses Biennial research conference Membership of CNEF Presentations to different stakeholders Annual Statistical Report Study-specific web site User email list www.melbourneinstitute.com Research Uses: Key Features Topic coverage extremely broad www.melbourneinstitute.com Research Topics: Just a Few Examples! Income and wealth – Poverty dynamics – Distribution of household wealth – Retirement savings Labour supply / Unemployment – – – – LFP and health Family policy and couples LS Impact of child care costs Forgone earnings of mothers Employment – – – – – – Working hours mismatch Casual employment transitions Part-time employment and wages Job insecurity Responses to long hours Gender inequity Marriage and family – – – – – Patterns of cohabitation Children’s living arrangements Post-separation contact with children Childlessness Predictors of marital separation Subjective well-being – Adaptation to life events – Predictors / correlates of life satisfaction Mental health and: – – – – – welfare reliance retirement housing affordability joblessness job quality www.melbourneinstitute.com Research Uses: Key Features Topic coverage extremely broad Three key types of studies i. Innovative content / questions ii. Unobserved heterogeneity iii. Dynamics of change (and persistence) Still many cross-sectional analyses www.melbourneinstitute.com Policy Impacts: Examples Key input into Government’s Pension Review Annual Wage Reviews RBA – Household debt and risk – Effect of the superannuation guarantee on household saving Productivity Commission – Paid Parental Leave report www.melbourneinstitute.com Keys to Success: Response Expectations of fieldwork agency Motivated interviewer workforce Long fieldwork period Persistence Cash incentives www.melbourneinstitute.com Keys to Success: Other Ingredients Champions (and lots of them) Money (and lots of it) Imitation Good people Many users Luck www.melbourneinstitute.com Other Issues To Think About (I) Sample – Population, dwellings, households – Clustered / stratified – Dealing with future immigration What mode? – Interviewer administered vs self-administered – Single mode vs mixed mode or multi-mode Respondent burden How to reach non-English speakers? www.melbourneinstitute.com Other Issues To Think About (II) Making use of technology – Dependent data / On-line options How much value adding? – Data cleaning / Weights / Imputation / Derived variables Confidentiality vs data access Linkages to admin. data Scientific stewardship / Stakeholder involvement www.melbourneinstitute.com The Development of a Successful Household Panel Survey: The HILDA Experience Mark Wooden Project Director, HILDA Survey
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