IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp117.html
   My bibliography  Save this paper

IAB Employment Subsample 1975-1995 Opportunities for Analysis Provided by the Anonymised Subsample

Author

Listed:
  • Bender, Stefan
  • Haas, Anette

    () (Institute for Employment Research (IAB), Nuremberg)

  • Klose, Christoph

    (Hosei University)

Abstract

The IAB employment subsample is now available for researchers in a third, anonymised version. Following the so-called basic file and the regional file from the IAB employment subsample, which encompassed the years 1975 to 1990, the actualized version of the basic file covers now the years 1975 to 1995 and contains for the first time information on Eastern Germany for the period 1992 to 1995. Therefore, the IAB employment subsample is equipped with data of one percent of all employees registered by the social insurance system within the given period of 21 years. This data has been stored into a file by the Federal Employment Service (Bundesanstalt für Arbeit) to provide an insurance account for each employee recorded by the German social insurance system. Supplementary information on establishments and on unemployment periods in which a claimant received benefits was added to the sample. This version now contains exact daily flow information on the employment history of 559,540 persons as recorded by the social insurance system and on periods of drawing benefits as well. It allows to reproduce employment careers without typical problems of longitudinal surveys which do arise in social research (e.g. panel mortality, memory gaps). Nevertheless there are specific problems that appear as a result of the data generation process. In general, data from the employment statistics like the IAB employment subsample is subject to confidentiality under Social Code Book X. Passing this data to third parties would have made complicated approval procedures necessary. To avoid such difficulties the IAB decided on the anonymisation of the data with a procedure based on the factual anonymisation under the Federal Statistics Act. The project could only be realized with financial assistance from the scientific community. Along with the anonymising of person- and establishment-related cross-section information, the longitudinal information of the persons involved had to be anonymised factually, too. The procedure mainly consisted in the aggregation of the characteristics and in a shift of the complete employment history of each person on the time axis. Comparing the anonymised with the original IAB employment subsample it is shown that the anonymising procedures do not place any serious constraints on the analysis potential of the file. Though the distribution of establishment transitions along the time axis cannot not be reproduced with the anonymised IAB employment subsample, cross-section comparisons of stocks at an historical point in time and multivariate models aiming at daily accuracy (e.g. piecewise constant exponential models) do not lead to any deviations of the results between the two files. The anonymised IAB employment subsample, which is available to researchers through the Central Archive for Empirical Social Research at the University of Cologne, is, therefore, one of the most important German sources for employment market research.

Suggested Citation

  • Bender, Stefan & Haas, Anette & Klose, Christoph, 2000. "IAB Employment Subsample 1975-1995 Opportunities for Analysis Provided by the Anonymised Subsample," IZA Discussion Papers 117, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp117
    as

    Download full text from publisher

    File URL: http://ftp.iza.org/dp117.pdf
    Download Restriction: no

    More about this item

    Keywords

    Data set description; statistics; econometric modelling; labor market; unemployment; employment; wage; mobility; flexibility; working life;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • J1 - Labor and Demographic Economics - - Demographic Economics
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • J4 - Labor and Demographic Economics - - Particular Labor Markets
    • J5 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining
    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers
    • J7 - Labor and Demographic Economics - - Labor Discrimination

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp117. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mark Fallak). General contact details of provider: http://www.iza.org .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.