VERSION OF 14/07/2017
Description of country output generated by the
coordinated analysis
Part 1: COVERAGE and DEMOGR Files
1.
cccCOVERAGE
This output file is generated by setting DoCov = True in the run control file (RUN_ONSPROD.SAS),
which calls the code in COVERAGE.SAS. The output contains basic information on the linked
Business Register (BR), Production Survey (PS) and E-Commerce (EC) input datasets.
Output variables
EUK0
SZ_CLS
YEAR
N_BR
N_PS
N_EC
N_BRPS
N_BREC
N_PSEC
Emp_BR
Emp_PS
WN_PS
WEmp_PS
Emp_BRPS
Emp_PSEC
SRC
Industry classification (see notes below)
Size class
Year to which data pertain
Number of firms (from Business Register)
Number of firms (from Production Survey)
Number of firms (from E-Commerce Survey)
Number of firms (merged BR, PS)
Number of firms (merged BR, EC)
Number of firms (merged PS, EC)
Number of employees (from Business Register)
Number of employees (from Production Survey)
IGNORE. NOT USED
IGNORE. NOT USED
Number of employees (merged BR, PS)
Number of employees (merged PS, EC)
Coding for different calls to COVERAGE.SAS (see notes below)
Notes
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EUK0 should be read as “industry”. The entries in this column are taken from the ‘althier’ dataset
provided by the co-ordinator (but note that the industry codes have been sorted alphabetically by
SAS, and the ordering differs from that in ‘althier’).
Size class codes are common to all output tables and are shown in Table 1.3 of the User Guide.
SRC should be read as ‘SAS run control’. For those rows where EUK0=DISTR, Elecom etc (that
is, from the ALT1 column of the ‘althier’ dataset), SRC=2 and data are tabulated by industry, size
class and year. For rows where EUK0=10t4, 15 etc (from the EUK0 column in ‘althier’), SRC=1
and the data are tabulated by industry and year only.
SRC plays a similar role in other output datasets.
Example
Table 1 is a screen shot from gbrCOVERAGE.xls, where the SAS output has been converted to Excel.
Note that values of -999 mean that the output has been suppressed for disclosure purposes. Also note
that some rows have been hidden, in order to group together results for different size classes in a single
year. In the highlighted rows, the number of firms in industry ‘Minter’ (Intermediate manufacturing),
in size class 5, in year 2005 is 1458 in the Business Register (BR) dataset, 828 in the Production
Survey (PS) dataset and 75 in the E-Commerce (EC) dataset. These numbers are unchanged in the
matched BR-PS and BR-EC datasets, but the number of firms reduces to 52 in the matched PS-EC
dataset.
Columns J, K, L and M show the employment totals for these sets of firms. For example, the 52 firms
in the matched PS-EC datasets employ a total of 8485 workers. This is an average of 163 workers per
firm, which is consistent with size class 5 (100-249).
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Things to check
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In the GBR output table there are some rows with sz_cls=0 and some where sz_cls is missing,
reflecting zero or missing employment in the input datasets. This is OK, but none of the N_ or
Emp_ variables should be negative.
In general, one would expect N_EC and N_PS to reflect the sample sizes of the two surveys, while
N_BR should reflect the population of firms.
The Emp_ statistics are UNWEIGHTED, so EMP_ values based on sample surveys will be lower
than the population estimates Emp_BR.
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2.
cccDEMOGR
This output file contains firm demographic data from the Business Register (BR) input dataset. This
output file is currently generated automatically from the main code (ONSPROD.SAS), rather than
controlled by the run control file. Thus this output file will be generated each time you execute
RUN_ONSPROD.SAS.
Output variables
ALT0
SZ_CLS
YEAR
STATUS
COUNT
EMP
CO_POS
CO_NEG
Industry classification (see below)
Size class
Year to which data pertain
Entrant, Exiter, Continuer, or One-year firm (see below)
Number of firms
Employment
Aggregate of positive firm-level employment change
Aggregate of negative firm-level employment change
Notes
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Alt0 is the industry classification based on EU-KLEMS (in this case, the alt0 column of the
‘althier’ dataset, again re-ordered alphabetically by SAS)
Coding for STATUS: CO (standing for Continuer) if the firm is on the BR dataset in year = t-1, t,
t+1; EN (=Entrant) if the firm is in the BR in t, t+1, not t-1; EX (=Exiter) if the firm is in the BR in
t-1, t, not t+1; OY (=One Year) if the firm is in the BR only in year t.
Example
An extract from gbrDEMOGR attached as Appendix 2, again converted from SAS to Excel format.
The highlighted rows show that, in industry 26 (Other non-metallic mineral products) in year 2004, size
class 1, there were 2789 continuing firms on the BR, with total employment of 9828. 340 firms entered
the business register in this industry and size class in 2004 (and survived into the register in 2005), with
total employment of 713. 372 firms employing 1004 workers exited in 2004 (that is, they did not
appear in the business register in 2005), and there were 67 firms (employing 136 workers) in this
industry and size class that appeared only in the 2004 business register.
Columns CO_POS and CO_NEG show the sum of employment changes for status CO and EX (that is,
for firms in the BR dataset in t and t-1), summed separately for firms with positive and negative
employment changes. Not surprisingly, employment changes of exiting firms showed larger negative
changes than positive changes (-376 versus +58).
Eric Bartelsman and Mark Franklin
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Appendix 1 – Screenshot from gbrCOVERAGE.xls
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Appendix 2 – Screenshot from gbrDEMOGR.xls
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