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Identifying supervisory or managerial status in administrative records

Author

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  • Collischon, Matthias

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

Abstract

"Information on individuals holding a managerial or supervisory positions within establishments is important for various aspects of labor 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." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Collischon, Matthias, 2021. "Identifying supervisory or managerial status in administrative records," IAB-Discussion Paper 202120, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    • Handle: RePEc:iab:iabdpa:202120
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    References listed on IDEAS

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    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.
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Bundesrepublik Deutschland ; Stichprobe der Integrierten Arbeitsmarktbiografien (SIAB) ; beruflicher Status ; Datengewinnung ; Führungskräfte ; geschlechtsspezifische Faktoren ; IAB-Beschäftigtenhistorik ; Arbeitsmarktforschung ; Vorgesetzte ; IAB-Haushaltspanel ; IAB-Haushaltspanel;
    All these keywords.

    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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