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Women Move Differently: Job Separations and Gender

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  • Boris Hirsch
  • Claus Schnabel

Abstract

Using a large German linked employer–employee data set and methods of competing risks analysis, this paper investigates gender differences in job separation rates to employment and nonemployment. In line with descriptive evidence, we find lower job-to-job and higher job-to-nonemployment transition probabilities for women than men when controlling for individual and workplace characteristics and unobserved plant heterogeneity. These differences vanish once we allow these characteristics to affect separations differently by gender. When additionally controlling for wages, we find that both separation rates are considerably lower and also significantly less wage-elastic for women than for men, suggesting an interplay of gender differences in transition behaviour and the gender pay gap. Copyright Springer Science+Business Media, LLC 2012

Suggested Citation

  • Boris Hirsch & Claus Schnabel, 2012. "Women Move Differently: Job Separations and Gender," Journal of Labor Research, Springer, vol. 33(4), pages 417-442, December.
    • Handle: RePEc:spr:jlabre:v:33:y:2012:i:4:p:417-442
    DOI: 10.1007/s12122-012-9141-1
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    1. Women stay longer
      by Economic Logician in Economic Logic on 2010-09-28 19:20:00

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    3. Hirsch, Boris & Müller, Steffen, 2014. "Firm leadership and the gender pay gap: do active owners discriminate more than hired managers?," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 47(1-2), pages 129-142.
    4. Cruz, Tassia, 2018. "Teacher hiring decisions: How do governments react to an exogenous redistribution of education funds?," Economics of Education Review, Elsevier, vol. 67(C), pages 58-81.
    5. Değer Eryar & Hasan Tekgüç, 2014. "Gender Effect in Explaining Mobility Patterns in the Labor Market: A Case Study of Turkey," The Developing Economies, Institute of Developing Economies, vol. 52(4), pages 322-350, December.
    6. Schnitzlein, Daniel D., 2012. "How important is cultural background for the level of intergenerational mobility?," Economics Letters, Elsevier, vol. 114(3), pages 335-337.
    7. Eryar, Değer & Tekgüç, Hasan, 2013. "Gender effect in explaining the mobility patterns in the labor market: a Case study from Turkey," MPRA Paper 46006, University Library of Munich, Germany.
    8. Boris Hirsch & Michael Oberfichtner & Claus Schnabel, 2014. "The levelling effect of product market competition on gender wage discrimination," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-14, December.
    9. Amparo Nagore García & Arthur van Soest, 2017. "New job matches and their stability before and during the crisis," International Journal of Manpower, Emerald Group Publishing Limited, vol. 38(7), pages 975-995, October.
    10. Bao, Zhengyang & Leibbrandt, Andreas, 2024. "Tournaments with safeguards: A blessing or a curse for women?," Journal of Economic Behavior & Organization, Elsevier, vol. 221(C), pages 292-306.
    11. Tinkl, Fabian, 2010. "A note on Hadamard differentiability and differentiability in quadratic mean," FAU Discussion Papers in Economics 08/2010, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.

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    More about this item

    Keywords

    Job separations; Gender; Gender pay gap; Germany; J62; J63; J16;
    All these keywords.

    JEL classification:

    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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