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Preparing the sample of integrated labour market biographies (SIAB) for scientific analysis

Author

Listed:
  • Dauth, Wolfgang

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

  • Eppelsheimer, Johann

    (IAB)

Abstract

"Preparing the Sample of Integrated Labour Market Biographies (SIAB) for scientific analysis is a complicated and error-prone task. This paper elaborates on the steps necessary to prepare the SIAB and provides examples of how the preparation can be done. Among other topics covered, we show how to generate and merge additional variables, impute right-censored wages, deal with parallel employment episodes, and clean the dataset. Finally, we present a case study on the individual long-term effects of job loss from plant closure to demonstrate how our prepared version of the SIAB can be used to carry out an empirical analysis. The supplementary material of this paper contains extensively commented Stata do-files to replicate our data preparation and the subsequent analysis." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • 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.
  • Handle: RePEc:iab:iabjlr:v:54:p:art.10
    DOI: 10.1186/s12651-020-00275-9
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    References listed on IDEAS

    as
    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. Dirk Antonczyk & Thomas DeLeire & Bernd Fitzenberger, 2018. "Polarization and Rising Wage Inequality: Comparing the U.S. and Germany," Econometrics, MDPI, vol. 6(2), pages 1-33, April.
    3. Eberle, Johanna & Jacobebbinghaus, Peter & Ludsteck, Johannes & Witter, Julia, 2011. "Generation of time-consistent industry codes in the face of classification changes : Simple heuristic based on the Establishment History Panel (BHP)," FDZ Methodenreport 201105_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    4. Wolfgang Dauth & Sebastian Findeisen & Jens Suedekum, 2014. "The Rise Of The East And The Far East: German Labor Markets And Trade Integration," Journal of the European Economic Association, European Economic Association, vol. 12(6), pages 1643-1675, December.
    5. Eberle, Johanna & Schmucker, Alexandra, 2017. "Creating cross-sectional data and biographical variables with the Sample of Integrated Labour Market Biographies 1975-2014 : Programming examples for Stata," FDZ Methodenreport 201706_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. repec:iab:iabfme:201105(en is not listed on IDEAS
    7. repec:iab:iabfda:201902(en is not listed on IDEAS
    8. repec:iab:iabfme:201706(en is not listed on IDEAS
    9. Fackler, Daniel & Müller, Steffen & Stegmaier, Jens, 2017. "Explaining wage losses after job displacement: Employer size and lost firm rents," IWH Discussion Papers 32/2017, Halle Institute for Economic Research (IWH).
    10. Bernd Fitzenberger & Arnim Seidlitz, 2020. "The 2011 break in the part-time indicator and the evolution of wage inequality in Germany," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-14, December.
    11. Antoni, Manfred & Schmucker, Alexandra & Seth, Stefan & Vom Berge, Philipp, 2019. "Sample of integrated labour market biographies (SIAB) 1975-2017," FDZ Datenreport. Documentation on Labour Market Data 201902_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
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    More about this item

    Keywords

    Bundesrepublik Deutschland ; Stichprobe der Integrierten Arbeitsmarktbiografien (SIAB) ; IAB-Open-Access-Publikation ; Datenanalyse ; Datenaufbereitung ; Imputationsverfahren ; Lohnhöhe;
    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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