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A guide to preparing the sample of integrated labour market biographies (SIAB, version 7519 v1) for scientific analysis

Author

Listed:
  • Stüber, Heiko

    (Institute for Employment Research (IAB), Nuremberg, Germany ; FAU ; IZA)

  • Dauth, Wolfgang

    (Institute for Employment Research (IAB), Nuremberg, Germany ; IZA ; Univ. Bamberg)

  • Eppelsheimer, Johann

    (urban analytica, Nuremberg)

Abstract

"The Sample of Integrated Labour Market Biographies (SIAB) is the most frequently requested data set provided by the Research Data Centre (FDZ) of the Federal Employment Agency (BA) at the Institute for Employment Research (IAB). However, preparing the SIAB for scientifc analysis is a complicated and error-prone task. This article explains steps necessary to prepare the latest version of the SIAB (7519 v1) and gives examples of how the preparation can be done. Among other things, it shows how to impute right-censored wages, deal with parallel employment episodes, and clean up the data set. The supplementary material to this article contains extensively annotated Stata do-files to replicate our data preparation." (Author's abstract, IAB-Doku, © Springer-Verlag) ((en))

Suggested Citation

  • Stüber, Heiko & Dauth, Wolfgang & Eppelsheimer, Johann, 2023. "A guide to preparing the sample of integrated labour market biographies (SIAB, version 7519 v1) for scientific analysis," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 57, pages 1-007.
    • Handle: RePEc:iab:iabjlr:v:57:i::p:a007
    DOI: 10.1186/s12651-023-00335-w
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    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • J65 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment Insurance; Severance Pay; Plant Closings
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

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