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Gender and the Effect of Working Hours on Firm-Sponsored Training

Author

Listed:
  • Picchio, Matteo

    (Marche Polytechnic University)

  • van Ours, Jan C.

    (Erasmus School of Economics)

Abstract

Using employees' longitudinal data, we study the effect of working hours on the propensity of firms to sponsor training of their employees. We show that, whereas male part-time workers are less likely to receive training than male full-timers, part-time working women are as likely to receive training as full-time working women. Although we cannot rule out gender-working time specific monopsony power, we speculate that the gender-specific effect of working hours on training has to do with gender-specific stereotyping. In the Netherlands, for women it is common to work part-time. More than half of the prime age female employees work part-time. Therefore, because of social norms, men working part-time could send a different signal to their employer than women working part-time. This might generate a different propensity of firms to sponsor training of male part-timers than female part-timers.

Suggested Citation

  • Picchio, Matteo & van Ours, Jan C., 2015. "Gender and the Effect of Working Hours on Firm-Sponsored Training," IZA Discussion Papers 9470, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp9470
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    Cited by:

    1. is not listed on IDEAS
    2. O’Sullivan Maeve & Cross Christine & Lavelle Jonathan, 2020. "The forgotten labour force: Characteristics and trends for older female part-time workers in Ireland," The Irish Journal of Management, Sciendo, vol. 39(1), pages 47-60, August.
    3. Elena Grinza & Francesco Devicienti & Mariacristina Rossi & Davide Vannoni, 2017. "How Entry into Parenthood Shapes Gender Role Attitudes: New Evidence from Longitudinal UK Data," Working papers 042, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    4. Bilanakos, Christos & Heywood, John S. & Sessions, John & Theodoropoulos, Nikolaos, 2018. "Does demand for product quality increase worker training?," Journal of Economic Behavior & Organization, Elsevier, vol. 155(C), pages 159-177.
    5. O’Sullivan Maeve & Cross Christine & Lavelle Jonathan, 2020. "The forgotten labour force: Characteristics and trends for older female part-time workers in Ireland," The Irish Journal of Management, Sciendo, vol. 39(1), pages 47-60, August.
    6. Mari, Gabriele & Luijkx, Ruud, 2020. "Gender, Parenthood, and Hiring Intentions in Sex-Typical Jobs: A Survey Experiment," SocArXiv kwdyp, Center for Open Science.
    7. repec:osf:socarx:kwdyp_v1 is not listed on IDEAS

    More about this item

    Keywords

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    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • M51 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Firm Employment Decisions; Promotions
    • M53 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Training

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