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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 1-7.
    • Handle: RePEc:iab:iabjlr:v:57:p:art.07
    DOI: 10.1186/s12651-023-00335-w
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    References listed on IDEAS

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    1. David Card & Jörg Heining & Patrick Kline, 2013. "Workplace Heterogeneity and the Rise of West German Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(3), pages 967-1015.
    2. repec:iab:iabfme:202105(en is not listed on IDEAS
    3. Dauth, Wolfgang & Eppelsheimer, Johann, 2020. "Preparing the sample of integrated labour market biographies (SIAB) for scientific analysis," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 54(1), pages 1-10.
    4. Zwick, Thomas & Bruns, Mona & Geyer, Johannes & Lorenz, Svenja, 2022. "Early retirement of employees in demanding jobs: Evidence from a German pension reform," The Journal of the Economics of Ageing, Elsevier, vol. 22(C).
    5. repec:iab:iabfme:200502(en is not listed on IDEAS
    6. Dauth, Wolfgang & Eppelsheimer, Johann, 2020. "Preparing the sample of integrated labour market biographies (SIAB) for scientific analysis," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 54(1), pages .10(1-10).
    7. John M. Abowd & Francis Kramarz & David N. Margolis, 1999. "High Wage Workers and High Wage Firms," Econometrica, Econometric Society, vol. 67(2), pages 251-334, March.
    8. Christian Dustmann & Johannes Ludsteck & Uta Schönberg, 2009. "Revisiting the German Wage Structure," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 843-881.
    9. repec:iab:iabfme:202001(en is not listed on IDEAS
    10. Kesternich, Iris & Schumacher, Heiner & Siflinger, Bettina & Valder, Franziska, 2022. "Reservation wages and labor supply," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 583-607.
    11. Wolfgang Dauth & Johann Eppelsheimer, 2020. "Preparing the sample of integrated labour market biographies (SIAB) for scientific analysis: a guide," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-14, December.
    12. Ludsteck, Johann & Thomsen, Ulrich, 2016. "Imputation of the working time information for the employment register data," FDZ Methodenreport 201601_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    13. repec:iab:iabfme:201601(en is not listed on IDEAS
    14. Bellmann, Lisa & Lochner, Benjamin & Seth, Stefan & Wolter, Stefanie, 2020. "AKM effects for German labour market data," FDZ Methodenreport 202001_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    15. Bernd Fitzenberger & Jakob Lazzer, 2022. "Changing selection into full-time work and its effect on wage inequality in Germany," Empirical Economics, Springer, vol. 62(1), pages 247-277, January.
    16. repec:iab:iabjlr:v:54:i:1:p:art.10 is not listed on IDEAS
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    Cited by:

    1. Christina Brinkmann & Simon Jäger & Moritz Kuhn & Farzad Saidi & Stefanie Wolter, 2024. "Short-Time Work Extensions," CRC TR 224 Discussion Paper Series crctr224_2024_606, University of Bonn and University of Mannheim, Germany.
    2. Heiko Stüber & Markus M. Grabka & Daniel D. Schnitzlein, 2023. "A tale of two data sets: comparing German administrative and survey data using wage inequality as an example," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-18, December.

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    More about this item

    Keywords

    Bundesrepublik Deutschland ; Stichprobe der Integrierten Arbeitsmarktbiografien (SIAB) ; IAB-Open-Access-Publikation ; best practice ; Datenanalyse ; Datenaufbereitung ; Imputationsverfahren ; Lohnhöhe ; Mehrfachbeschäftigung ; Arbeitsmarktforschung;
    All these keywords.

    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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