Data Source

Registry + Survey

Type of Study

Cross-section, regular

Data gathering method

1999 - 2005: Combination/ integration of electronic registrations (Wage tax registration (Fibase), Insurance Registration Employees (VZA)) and survey (Survey of Employment and wages (EWL)), 2006 onwards: Edited version of Registration of wage tax and social insurance premiums (Polisadministratie).

Ease

Cannot be downloaded directly

Conditions of access

Formal agreements (e.g. fees, research contracts, institutional agreements, etc.)

Access to data requires: (1) Access fee (2) official authorisation (CCS)

Time elapsed between application and reception of data

Months

Type of available data (e.g. anonymised microdata, aggregated tables, etc.)

Anonymised microdata

Formats available

SPSS (default)

Language issues

Documentation is only available in Dutch.

Years of collection, reference years, and sample sizes

Data was collected between 1999 and 2010 with an integral observation. Data collection is scheduled to continue at some point in the future.

First year of collection

1999

Stratification if applicable

Not applicable

Base used for sampling

Not applicable

Geographical coverage and breakdowns

All jobs in Dutch companies (within Dutch tax regime)

Age range

No age restrictions

Statistical representativeness

Representative for all employee jobs in the Netherlands.

Coverage of main and cross-cutting topics

Detailed study of: Salary, type of job, duration of job, part-time factor, industry, location of establishment employer, company size.

Further Reading

www.cbs.nl/.../2012k2v4p55art.pdf

Standardisation

Standardised wage concepts

Possibility of linkage among databases

Linkable to other person databases through anonymised personal number

Breaks

Break in 2001 due to the addition of new variables: type of work agreement, part time factor. In 2006, there was a methodological break because of a new data source (Fibase/VZA/EWL -> Polisadministratie).

Consistency of terminology or coding used during collection

Most concepts are consistent in time.

Strengths: The data source provides full coverage, high quality data, and longitudinally consistent data.