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Bayesian Learning and Gender Segregation

Author

Listed:
  • Richard Breen

    (Nuffield College, Oxford)

  • Cecilia Garcia-Penalosa

    (Groupement de Recherche en Economie Quantitative d'Aix-Marseille)

Abstract

We present an explanation for the persistence of gender segregation in occupations and for the observed cross-country differences in its extent. Agents have imperfect information about their probability of success in different occupations and base their career choices on prior beliefs about these probabilities. Beliefs are updated according to Bayes's rule, implying that past differences in preferences over occupations across genders affect the beliefs of the current generation. Consequently, even when men and women become identical in their preferences, their career choices differ. Moreover, the way in which preferences change is shown to affect the degree of segregation.

Suggested Citation

  • Richard Breen & Cecilia Garcia-Penalosa, 2002. "Bayesian Learning and Gender Segregation," Journal of Labor Economics, University of Chicago Press, vol. 20(4), pages 899-922, October.
    • Handle: RePEc:ucp:jlabec:v:20:y:2002:i:4:p:899-922
    DOI: 10.1086/342895
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    References listed on IDEAS

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    4. Robert M. Blackburn & Janet Siltanen & Jennifer Jarman, 1995. "The Measurement of Occupational Gender Segregation: Current Problems and a New Approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 158(2), pages 319-331, March.
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