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Estimating Gender Differences in Access to Jobs

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Author Info

  • Gobillon, Laurent

    ()
    (INED, France)

  • Meurs, Dominique

    ()
    (University Paris Ouest-Nanterre)

  • Roux, Sébastien

    ()
    (CREST-INSEE)

Abstract

This paper proposes a new measure of gender differences in access to jobs based on a job assignment model. This measure is the probability ratio of getting a job for females and males at each rank of the wage ladder. We derive a non-parametric estimator of this access measure and estimate it for French full-time executives aged 40-45 in the private sector. Our results show that the gender difference in the probability of getting a job increases along the wage ladder from 9% to 50%. Females thus have a significantly lower access to high-paid jobs than to low-paid jobs.

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Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 6928.

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Length: 57 pages
Date of creation: Oct 2012
Date of revision:
Handle: RePEc:iza:izadps:dp6928

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Related research

Keywords: gender; discrimination; wages; quantiles; job assignment model; glass ceiling;

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References

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  1. Ridder, G. & Tunali, I., 1997. "Stratified Partial Likelihood Estimation," Papers 1997/17, Koc University.
  2. Robert M. Costrell & Glenn C. Loury, 2004. "Distribution of Ability and Earnings in a Hierarchical Job Assignment Model," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-135, Boston University - Department of Economics.
  3. Ann P. Bartel, 2004. "Human resource management and organizational performance: Evidence from retail banking," Industrial and Labor Relations Review, ILR Review, Cornell University, ILR School, vol. 57(2), pages 181-203, January.
  4. Laurent GOBILLON & Dominique MEURS & Sébastien ROUX, 2009. "Estimating Gender Differences in Access to Jobs : Females Trapped at the Bottom of the Ladder," Working Papers 2009-09, Centre de Recherche en Economie et Statistique.
  5. Pierre-Philippe Combes & Gilles Duranton & Diego Puga & Sebastien Roux, 2009. "The productivity advantages of large cities: Distinguishing agglomeration from firm selection," Working Papers tecipa-353, University of Toronto, Department of Economics.
  6. Polachek, Solomon William, 1981. "Occupational Self-Selection: A Human Capital Approach to Sex Differences in Occupational Structure," The Review of Economics and Statistics, MIT Press, vol. 63(1), pages 60-69, February.
  7. Sattinger, Michael, 1993. "Assignment Models of the Distribution of Earnings," Journal of Economic Literature, American Economic Association, vol. 31(2), pages 831-80, June.
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  11. Teulings, Coen N, 1995. "The Wage Distribution in a Model of the Assignment of Skills to Jobs," Journal of Political Economy, University of Chicago Press, vol. 103(2), pages 280-315, April.
  12. Cornell, Bradford & Welch, Ivo, 1996. "Culture, Information, and Screening Discrimination," Journal of Political Economy, University of Chicago Press, vol. 104(3), pages 542-71, June.
  13. Albrecht, James & Björklund, Anders & Vroman, Susan, 2001. "Is There a Glass Ceiling in Sweden?," IZA Discussion Papers 282, Institute for the Study of Labor (IZA).
  14. Mark R. Killingsworth & Cordelia W. Reimers, 1983. "Race, ranking, promotions, and pay at a federal facility: A logit analysis," Industrial and Labor Relations Review, ILR Review, Cornell University, ILR School, vol. 37(1), pages 92-107, October.
  15. John M. Abowd & Francis Kramarz & Sébastien Roux, 2006. "Wages, Mobility and Firm Performance: Advantages and Insights from Using Matched Worker-Firm Data," Economic Journal, Royal Economic Society, vol. 116(512), pages F245-F285, 06.
  16. Tuomas Pekkarinen & Juhana Vartiainen, 2006. "Gender differences in promotion on a job ladder: Evidence from Finnish metalworkers," Industrial and Labor Relations Review, ILR Review, Cornell University, ILR School, vol. 59(2), pages 285-301, January.
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