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What do women want in a job? Gender-biased preferences and the reservation wage gap

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  • Kenza Elass

    (Aix Marseille Université Économiques and Ecole d'Économie de Paris)

Abstract

Recent explanations of the gender wage gap emphasize the role of gender differences in psychological traits. Nevertheless, there have been only a limited number of studies confirming the relevance of these factors for labor market outcomes. This presentation assesses the role of gender-specific preferences in the reservation wage gap during the job search. I use French administrative data from the unemployment insurance agency providing information on job search behavior and previous outcomes to assess which kind of occupations men and women apply for and the gap in their reservation wages. Employing text analysis, I build a novel dataset classifying occupations with respect to a number of characteristics and examine to which extent men and women differ in the occupation they are looking for. I document widespread gender differences in the occupation characteristics targeted by job seekers. Quantile decomposition methods allow me to document an unequal gap in reservation wage, intensifying along the distribution. After I adjust for occupation characteristics reflecting gender-biased preferences and household constraints, the unexplained part of the reservation wage gap is decreased by half. Investigating unemployment history and outcomes from previous interviews with firms, I do not find evidence of a female risk aversion to previous unemployment shocks or male overconfidence.

Suggested Citation

  • Kenza Elass, 2023. "What do women want in a job? Gender-biased preferences and the reservation wage gap," French Stata Users' Group Meetings 2023 15, Stata Users Group.
    • Handle: RePEc:boc:fsug23:15
    as

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    References listed on IDEAS

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    1. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    2. Claudia Goldin, 2014. "A Grand Gender Convergence: Its Last Chapter," American Economic Review, American Economic Association, vol. 104(4), pages 1091-1119, April.
    3. Christopher A. Pissarides, 2013. "Unemployment in the Great Recession," Economica, London School of Economics and Political Science, vol. 80(319), pages 385-403, July.
    4. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    5. Jung, SeEun & Choe, Chung & Oaxaca, Ronald L., 2018. "Gender wage gaps and risky vs. secure employment: An experimental analysis," Labour Economics, Elsevier, vol. 52(C), pages 112-121.
    6. María Arrazola & José de Hevia, 2016. "The Gender Wage Gap in Offered, Observed, and Reservation Wages for Spain," Feminist Economics, Taylor & Francis Journals, vol. 22(4), pages 101-128, October.
    7. Erica L. Groshen, 1991. "The Structure of the Female/Male Wage Differential: Is It Who You Are, What You Do, or Where You Work?," Journal of Human Resources, University of Wisconsin Press, vol. 26(3), pages 457-472.
    8. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-442, June.
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