Title: Workplace and employee survey (WES) - synthetic files.
Series title: Workplace and employee survey - synthetic files.
Principal investigator(s): Statistics Canada. Labour Statistics Division
Producer: Ottawa, Ont.: Statistics Canada. Labour Statistics Division
Date of creation: varies
Funding agency:
Collector:
Distributor:
Ottawa, Ont.: Statistics Canada. Data Liberation Initiative
Date of distribution: varies
Access conditions/restrictions:
University of Toronto faculty, students and staff, for academic research
and teaching purposes only. See DLI licence.
Summary:
The Workplace and Employee Survey (WES) is designed to explore a broad range
of issues relating to employers and their employees. The objectives of the survey are to examine
the relationships among competitiveness, innovation, technology use and
human resource management on the employer side and technology use, training,
job stability and earnings on the employee side.
Employers and employees are linked at the micro data level; employees are
selected from within sampled workplaces. Thus, information from both the
supply and demand sides of the labour market is available to enrich studies on either side of the market.
Geographic coverage:
Canada
Time period:
Periodicity: annual
Date(s) of collection:
Universe:
The target population for the employer component is defined as all business locations operating in Canada that have paid employees in March, with the following exceptions:
The target population for the employee component is all employees working or on paid leave in March in the selected workplaces who receive a Canada Revenue Agency T-4 Supplementary form. If a person receives a T-4 slip from two different workplaces, then the person will be counted as two employees on the WES frame.
The survey population is the collection of all units for which the survey can realistically provide information. The survey population may differ from the target population due to operational difficulties in identifying all the units that belong to the target population.
The WES draws its sample from the Business Register (BR) maintained by the Business Register Division of Statistics Canada and from lists of employees provided by the surveyed employers.
The Business Register is a list of all businesses in Canada and is updated each month using data from various surveys, business profiling and administrative data.
Data type: synthetic microdata
Sample:
This is a sample survey with a longitudinal design.
The survey frame is a list of all statistical locations that carries contact and classification (e.g., industrial classification) information on the units. This list is used for sample design and selection; ultimately, it provides contact and classification information for the selected units.
Workplace Survey
Prior to sample selection, the business locations on the frame are stratified into relatively homogeneous groups called strata, which are then used for sample allocation and selection. The WES frame is stratified by industry (14), region (6), and size (3), which is defined using estimated employment. The size stratum boundaries are typically different for each industry/region combination. The cut-off points defining a particular size stratum are computed using a model-based approach. The sample is selected using Neyman allocation. This process partitions the target population into 252 strata. In 1999, 9,043 business locations were selected. In 2001, 1,792 locations were added for a total of 10,815. In 2003, 2,334 locations were added for a total of 13,149 business locations.
All sampled units are assigned a sampling weight (a raising factor is attached to each sampled unit to obtain estimates for the population from a sample). For example, if two units are selected at random and with equal probability out of a population of ten units, then each selected unit will represent five units in the population, and it will have a sampling weight of five.
The 2003 WES survey collected data from 6,565 out of the 8,065 sampled employers. The remaining employers were either out-of-business, seasonally inactive, holding companies, or out-of-scope. The majority of non-respondents were owner-operators with no paid help and in possession of a payroll deduction account.
The initial sample selected in 1999 is followed over time and is supplemented at two-year intervals with a sample of births selected from units added to the Business Register since the last survey occasion. Stratification of units remains constant over the life of the initial panel (set at 8 years). Whenever possible, the same sampling fractions are applied to all panels. Sometimes the sampling fractions are adjusted to offset stratum erosion, or to compensate for upswings or downswings in the economy. For 2001, they were revised slightly upward. This resulted in a birth panel of 1,792 workplaces. For 2003 this resulted in a birth panel of 2,334 workplaces.
Employee Survey
Sample Size - Employer
Sample Size - Employee
Employees will be followed for two years only, due to the difficulty of integrating new employers into the location sample as workers change companies. As such, fresh samples of employees will be drawn on every second survey occasion (i.e. first, third, fifth).
Unit of observation: business location & individual
Mode of data collection:
Responding to this survey is mandatory. Data are collected directly from survey respondents.
Data collection, data capture, preliminary editing and follow-up of non-respondents are all done in Statistics Canada Regional Offices. In 1999, workplace data were collected in person. As of 2000, computer assisted telephone interviews are conducted. For about 20% of the surveyed units (mostly large workplaces), more than one contact person is required.
For the employee component, telephone interviews are conducted with persons who agree to participate in the survey by filling out and mailing in an employee participation form.
Extent of file: 4 data files per survey year (SAS, SPSS and Stata system files; number of logical records varies) & accompanying documentation
Citation:
Statistics Canada. Workplace and employee survey (WES) - synthetic files, 2005: employee microdata file [computer file].
Ottawa, Ont.: Statistics Canada [producer];
Statistics Canada. Data Liberation Initiative [distributor], 2009-01
Notes:
Related data:
Master files available in the Research Data Centre
Status:
Documentation & data:
Data
Bibliography
a) Employers in Yukon, Nunavut and Northwest Territories; and
b) Employers operating in crop production and animal production; fishing, hunting and trapping; private households, religious organizations and public administration.
The survey frame of the Workplace component of WES is created from the information available on the Statistics Canada Business Register.
The frame of the employee component of WES is based on lists of employees made available to interviewers by the selected workplaces. A maximum of twenty four employees are sampled using a probability mechanism. In workplaces with fewer than four employees, all employees are selected.
1999 - 6,322
2000 - 6,068
2001 - 6,207
2002 - 5,818
2003 - 6,565
2004 - 6,159
1999 - 23,540
2000 - 20,167
2001 - 20,352
2002 - 16,813
2003 - 20,834
2004 - 16,804
Documentation
Methodology
WARNING: These Dummy Files (Synthetic Files) should not be used for
purposes other than to develop and test the computer programs that are
to be submitted by remote job submission. The Dummy Files (Synthetic Files)
contain modified data, and must never be used for analytical purposes.
Employee files
Year
Dummy change indicators
Dummy microdata
(incl. bootstrap weights)
1999
sas,
spss,
stata
sas,
spss,
stata
2000
sas,
spss,
stata
sas,
spss,
stata
2001
sas,
spss,
stata
sas,
spss,
stata
2002
sas,
spss,
stata
sas,
spss,
stata
2003
sas,
spss,
stata
sas,
spss,
stata
2004
sas,
spss,
stata
sas,
spss,
stata
2005
sas,
spss,
stata
Workplace files
Year
Dummy change indicators
Dummy microdata
(incl. bootstrap weights)
1999
sas,
spss,
stata
sas,
spss,
stata
2000
sas,
spss,
stata
sas,
spss,
stata
2001
sas,
spss,
stata
sas,
spss,
stata
2002
sas,
spss,
stata
sas,
spss,
stata
2003
sas,
spss,
stata
sas,
spss,
stata
2004
sas,
spss,
stata
sas,
spss,
stata
2005
sas,
spss,
stata
Descriptive statistics: