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Dips and floors in workplace training: Using personnel records to estimate gender differences

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  • Fitzenberger, Bernd
  • Muehler, Grit

Abstract

Using personnel records from a single large German firm in the financial industry, this paper provides detailed evidence on the effect of age and the supervisor's gender on gender differences in workplace training, holding constant various workplace characteristics. We implement an age-specific decomposition of the incidence and the duration of training into three terms: an age-specific coefficients effect, an age-specific characteristics effect, and an age composition effect. Our results show that the gender training gap changes with age. Females obtain less training during the early career, and their training occurs at higher age. The timing of the gender training gap seems to be driven by diverging career paths associated with employment interruptions. However, we find no evidence for catching-up effects after parental leave. A decomposition of the training gap including supervisor fixed effects reveals that supervisors do not treat male and female employees differently. Supervisors assign more training to all employees if they themselves participate more in training.

Suggested Citation

  • Fitzenberger, Bernd & Muehler, Grit, 2011. "Dips and floors in workplace training: Using personnel records to estimate gender differences," ZEW Discussion Papers 11-023, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:11023
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    References listed on IDEAS

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    Cited by:

    1. Rosa Aisa & María A. Gonzalez-Alvarez & Gemma Larramona, 2016. "The Role of Gender in Further Training for Spanish Workers: Are Employers Making a Difference?," Feminist Economics, Taylor & Francis Journals, vol. 22(3), pages 154-182, July.
    2. Uwe Jirjahn & Jens Mohrenweiser, 2021. "Works councils and organizational gender policies in Germany," British Journal of Industrial Relations, London School of Economics, vol. 59(4), pages 1020-1048, December.
    3. Osikominu, Aderonke & Grossmann, Volker & Osterfeld, Marius, 2014. "Are Sociocultural Factors Important for Studying a Science University Major?," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100404, Verein für Socialpolitik / German Economic Association.
    4. Annika Campaner & John S. Heywood & Uwe Jirjahn, 2022. "Flexible work organization and employer provided training: Evidence from German linked employer‐employee data," Kyklos, Wiley Blackwell, vol. 75(1), pages 3-29, February.
    5. Boockmann, Bernhard & Fries, Jan & Göbel, Christian, 2018. "Specific measures for older employees and late career employment," The Journal of the Economics of Ageing, Elsevier, vol. 12(C), pages 159-174.
    6. Aderonke Osikominu & Volker Grossmann & Marius Osterfeld, 2020. "Sociocultural background and choice of STEM majors at university," Oxford Economic Papers, Oxford University Press, vol. 72(2), pages 347-369.
    7. Burgard, Claudia, 2012. "Gender Differences in Further Training Participation – The Role of Individuals, Households and Firms," Ruhr Economic Papers 320, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. Katrin Breuer & Patrick Kampkoetter, 2012. "Do Employees Reciprocate to Intra-Firm Trainings? An Analysis of Absenteeism and Turnover Rates," Cologne Graduate School Working Paper Series 03-09, Cologne Graduate School in Management, Economics and Social Sciences.
    9. repec:zbw:rwirep:0320 is not listed on IDEAS
    10. Claudia Burgard, 2012. "Gender Differences in Further Training Participation – The Role of Individuals, Households and Firms," Ruhr Economic Papers 0320, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    11. Peter Huber & Ulrike Huemer, 2015. "Gender Differences in Lifelong Learning: An Empirical Analysis of the Impact of Marriage and Children," LABOUR, CEIS, vol. 29(1), pages 32-51, March.

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    More about this item

    Keywords

    training participation; age; gender; company data;
    All these keywords.

    JEL classification:

    • M53 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Training
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

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