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Estimating Gender Differences in Access to Jobs

  • Gobillon, Laurent

    ()

    (INED, France)

  • Meurs, Dominique

    ()

    (University Paris Ouest-Nanterre)

  • Roux, Sébastien

    ()

    (CREST-INSEE)

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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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:
Publication status: forthcoming in: Journal of Labor Economics, 2015
Handle: RePEc:iza:izadps:dp6928
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  1. Combes, Pierre-Philippe & Duranton, Gilles & Gobillon, Laurent & Puga, Diego & Roux, Sébastien, 2009. "The productivity advantages of large cities: Distinguishing agglomeration from firm selection," CEPR Discussion Papers 7191, C.E.P.R. Discussion Papers.
  2. Donald, Stephen G & Green, David A & Paarsch, Harry J, 2000. "Differences in Wage Distributions between Canada and the United States: An Application of a Flexible Estimator of Distribution Functions in the Presence of Covariates," Review of Economic Studies, Wiley Blackwell, vol. 67(4), pages 609-33, October.
  3. 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.
  4. 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.
  5. Dennis J. Aigner & Glen G. Cain, 1977. "Statistical theories of discrimination in labor markets," Industrial and Labor Relations Review, ILR Review, Cornell University, ILR School, vol. 30(2), pages 175-187, January.
  6. Gobillon, Laurent & Meurs, Dominique & Roux, Sébastien, 2009. "Estimating Gender Differences in Access to Jobs: Females Trapped at the Bottom of the Ladder," CEPR Discussion Papers 7475, C.E.P.R. Discussion Papers.
  7. Ridder, G. & Tunali, I., 1997. "Stratified Partial Likelihood Estimation," Papers 1997/17, Koc University.
  8. 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.
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