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Unobserved selection heterogeneity and the gender wage gap

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  • Cecilia Machado

Abstract

Selection correction methods usually make assumptions about selection itself. In the case of gender wage gap estimation, those assumptions are especially tenuous because of high female nonparticipation and because selection could be different in different parts of the labor market. This paper proposes an estimator for the wage gap that allows for arbitrary and unobserved heterogeneity in selection. It applies to the subpopulation of “always employed†women, which is similar to men in labor force characteristics. Using CPS data from 1976 to 2005, I show that the gap has narrowed substantially from a −0.521 to a −0.263 log wage point differential for this population.

Suggested Citation

  • Cecilia Machado, 2017. "Unobserved selection heterogeneity and the gender wage gap," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(7), pages 1348-1366, November.
    • Handle: RePEc:wly:japmet:v:32:y:2017:i:7:p:1348-1366
    DOI: 10.1002/jae.2561
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    Citations

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    Cited by:

    1. Francine D. Blau & Lawrence Kahn & Nikolai Boboshko & Matthew Comey, 2021. "Th Impact of Selection into the Labor Force on the Gender Wage Gap," CESifo Working Paper Series 9103, CESifo.
    2. Matthias Westphal & Daniel A Kamhöfer & Hendrik Schmitz, 2022. "Marginal College Wage Premiums Under Selection Into Employment," The Economic Journal, Royal Economic Society, vol. 132(646), pages 2231-2272.
    3. Bernd Fitzenberger & Jakob Lazzer, 2022. "Changing selection into full-time work and its effect on wage inequality in Germany," Empirical Economics, Springer, vol. 62(1), pages 247-277, January.
    4. Martin Huber & Anna Solovyeva, 2020. "On the Sensitivity of Wage Gap Decompositions," Journal of Labor Research, Springer, vol. 41(1), pages 1-33, June.
    5. Hao, Shiming, 2021. "True structure change, spurious treatment effect? A novel approach to disentangle treatment effects from structure changes," MPRA Paper 108679, University Library of Munich, Germany.
    6. Darius Daniel Martin, 2021. "The Minimum Wage in a Roy Model with Monopsony," Journal of Labor Research, Springer, vol. 42(3), pages 358-381, December.
    7. Ayal Kimhi & Nirit Hanuka-Taflia, 2019. "What drives the convergence in male and female wage distributions in Israel? A Shapley decomposition approach," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(3), pages 379-399, September.
    8. Besedeš, Tibor & Lee, Seung Hoon & Yang, Tongyang, 2021. "Trade liberalization and gender gaps in local labor market outcomes: Dimensions of adjustment in the United States," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 574-588.
    9. Biewen, Martin & Fitzenberger, Bernd & Seckler, Matthias, 2020. "Counterfactual quantile decompositions with selection correction taking into account Huber/Melly (2015): An application to the German gender wage gap," Labour Economics, Elsevier, vol. 67(C).
    10. Carolina Castagnetti & Luisa Rosti & Marina Töpfer, 2020. "Discriminate me — If you can! The disappearance of the gender pay gap among public‐contest selected employees in Italy," Gender, Work and Organization, Wiley Blackwell, vol. 27(6), pages 1040-1076, November.

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