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Gender Differences in Job Separation Rates and Employment Stability: New Evidence from Employer-Employee Data

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  • Frederiksen, Anders

    () (Aarhus University)

Abstract

I analyze the job separation process to learn about gender differences in job separation rates and employment stability. An essential finding is that employer-employee data are required to identify gender differences in job separation probabilities because of labor market segregation. Failure to recognize this may potentially lead to statistical discrimination. Three important empirical results are obtained from the analysis. First, women have higher unconditional job separation probabilities. Second, there are no gender differences in job separation probabilities for employees working in similar workplaces. Finally, women’s employment stability is relatively low because they are more likely to move from a job and into unemployment or out of the labor force, and less likely to make job-to-job transitions.

Suggested Citation

  • Frederiksen, Anders, 2006. "Gender Differences in Job Separation Rates and Employment Stability: New Evidence from Employer-Employee Data," IZA Discussion Papers 2147, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp2147
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    Cited by:

    1. Steven Bednar & Dora Gicheva, 2018. "Career Implications of Having a Female-Friendly Supervisor," ILR Review, Cornell University, ILR School, vol. 71(2), pages 426-457, March.
    2. Latorre, María C., 2016. "A CGE Analysis of the Impact of Foreign Direct Investment and Tariff Reform on Female and Male Workers in Tanzania," World Development, Elsevier, vol. 77(C), pages 346-366.
    3. Frederiksen, Anders, 2015. "Job Satisfaction and Employee Turnover: A Firm-level Perspective," CEI Working Paper Series 2015-4, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    4. Tåg, Joacim & Åstebro, Thomas & Thompson, Peter, 2016. "Hierarchies and entrepreneurship," European Economic Review, Elsevier, vol. 89(C), pages 129-147.
    5. Zhang, Xuelin, 2007. "Differences entre les sexes relativement aux departs volontaires et a l'absenteisme au Canada," Direction des etudes analytiques : documents de recherche 2007296f, Statistics Canada, Direction des etudes analytiques.
    6. Jaba, Elisabeta & Balan, Christiana & Roman, Mihai & Roman, Monica, 2010. "Statistical evaluation of spatial concentration of unemployment by gender," MPRA Paper 25161, University Library of Munich, Germany, revised May 2010.
    7. Frederiksen, Anders & Halliday, Timothy J. & Koch, Alexander K., 2010. "What Do We Work For? An Anatomy of Pre- and Post-Tax Earnings Growth," IZA Discussion Papers 5298, Institute for the Study of Labor (IZA).
    8. Jones, Derek C. & Kalmi, Panu & Kato, Takao & Mäkinen, Mikko, 2017. "Worker separation under performance pay : Empirical evidence from Finland," Research Discussion Papers 33/2017, Bank of Finland.
    9. Anders Frederiksen & Timothy Halliday & Alexander K. Koch, 2016. "Within- and Cross-Firm Mobility and Earnings Growth," ILR Review, Cornell University, ILR School, vol. 69(2), pages 320-353, March.
    10. Zhang, Xuelin, 2007. "Gender Differences in Quits and Absenteeism in Canada," Analytical Studies Branch Research Paper Series 2007296e, Statistics Canada, Analytical Studies Branch.
    11. Ferreira, Priscila, 2009. "The determinants of promotions and firm separations," ISER Working Paper Series 2009-11, Institute for Social and Economic Research.
    12. repec:spr:empeco:v:53:y:2017:i:2:d:10.1007_s00181-016-1130-4 is not listed on IDEAS
    13. repec:spr:jlabre:v:38:y:2017:i:2:d:10.1007_s12122-017-9244-9 is not listed on IDEAS
    14. Boris Hirsch & Claus Schnabel, 2012. "Women Move Differently: Job Separations and Gender," Journal of Labor Research, Springer, vol. 33(4), pages 417-442, December.
    15. Mathieu Bunel & Jean-Pascal Guironnet, 2011. "Earning Inequalities Between and Within Nests," Working Papers halshs-00868198, HAL.
    16. Nuno Crespo & Nadia Simoes & Sandrina B. Moreira, 2014. "Gender differences in occupational mobility - evidence from Portugal," International Review of Applied Economics, Taylor & Francis Journals, vol. 28(4), pages 460-481, July.
    17. Jean-Pascal Guironnet & Matthieu Bunel, 2011. "Earning Inequalities Between and Within Nests: A Multilevel Modeling Approach Applied to the Case of France," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 201118, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
    18. Nagore García, Amparo & van Soest, Arthur, 2015. "New Job Matches and Their Stability Before and During the Crisis," IZA Discussion Papers 9574, Institute for the Study of Labor (IZA).
    19. 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.
    20. Latorre, Maria C., 2014. "CGE analysis of the impact of foreign direct investment and tariff reform on female and male wages," Policy Research Working Paper Series 7073, The World Bank.
    21. Anders Frederiksen & Jesper Rosenberg Hansen, 2013. "Trends in Sector Switching: Evidence from Employer-Employee Data," Economics Working Papers 2013-11, Department of Economics and Business Economics, Aarhus University.
    22. 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.
    23. Dieckhoff, Martina & Steiber, Nadia, 2009. "In search of gender differences in access to continuing training: Is there a gender training gap and if yes, why?," Discussion Papers, Research Unit: Skill Formation and Labor Markets SP I 2009-504, Social Science Research Center Berlin (WZB).

    More about this item

    Keywords

    employment stability; job separations; employer-employee data; labor reallocation;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs

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