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Identifying Supervisory or Managerial Status in German Administrative Records

Author

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  • Collischon Matthias

    (Institute for Employment Research (IAB), Regensburger Straße 100, 90478 Nürnberg, Germany)

Abstract

Information on individuals holding managerial or supervisory positions within establishments is important for various aspects of labour market research. However, identifying managers or supervisors in German administrative records is not straightforward. This paper uses survey information from the Panel Study Labour Market and Social Security (PASS) to predict managerial or supervisory tasks in administrative records that can be used to enhance the identification of managers and supervisors in the Sample of Integrated Labour Market Biographies (SIAB). Furthermore, I provide an applied example in which I calculate gender differences in the probability to hold a managerial position.

Suggested Citation

  • Collischon Matthias, 2023. "Identifying Supervisory or Managerial Status in German Administrative Records," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 243(2), pages 183-195, April.
    • Handle: RePEc:jns:jbstat:v:243:y:2023:i:2:p:183-195:n:5
    DOI: 10.1515/jbnst-2022-0035
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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. Bernd Fitzenberger & Aderonke Osikominu & Robert Völter, 2006. "Imputation Rules to Improve the Education Variable in the IAB Employment Subsample," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 126(3), pages 405-436.
    3. Bernd Fitzenberger & Aderonke Osikominu & Robert Völter, 2006. "Imputation Rules to Improve the Education Variable in the IAB Employment Subsample," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 126(3), pages 405-436.
    4. repec:iab:iabfme:200503(en is not listed on IDEAS
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    Cited by:

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    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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