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Selection, Heterogeneity and the Gender Wage Gap

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  • Machado, Cecilia

    (Getulio Vargas Foundation, Brazil)

Abstract

Selection correction methods usually make assumptions about selection itself. In the case of gender wage gap estimation, those assumptions are specially tenuous because of high female non-participation 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 heterogeneity in selection. It applies to the subpopulation of "always employed" women, which is similar to men in labor force attachment. Using CPS data from 1976 to 2005, I show that the gap has narrowed substantially from a -.521 to a -.263 log wage points differential for this population.

Suggested Citation

  • Machado, Cecilia, 2012. "Selection, Heterogeneity and the Gender Wage Gap," IZA Discussion Papers 7005, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp7005
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    References listed on IDEAS

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    Cited by:

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    2. Alessandra Voena, 2015. "Yours, Mine, and Ours: Do Divorce Laws Affect the Intertemporal Behavior of Married Couples?," American Economic Review, American Economic Association, vol. 105(8), pages 2295-2332, August.
    3. Ben Sand & Chris Bidner, 2016. "Job Prospects and Pay Gaps: Theory and Evidence on the Gender Gap from U.S. Cities," Discussion Papers dp16-14, Department of Economics, Simon Fraser University.
    4. Strittmatter, Anthony & Wunsch, Conny, 2021. "The Gender Pay Gap Revisited with Big Data: Do Methodological Choices Matter?," Working papers 2021/05, Faculty of Business and Economics - University of Basel.
    5. Christl, Michael & Köppl-Turyna, Monika, 2017. "Gender wage gap and the role of skills: evidence from PIAAC dataset," Working Papers 05, Agenda Austria.
    6. Petreski, Marjan. & Mojsoska-Blazevski, Nikica., 2015. "The gender and motherhood wage gap in the Former Yugoslav Republic of Macedonia : an econometric analysis," ILO Working Papers 994895293402676, International Labour Organization.
    7. Chirok Han & Goeun Lee, 2017. "Efficient Estimation of Linear Panel Data Models with Sample Selection and Fixed Effects," Discussion Paper Series 1707, Institute of Economic Research, Korea University.
    8. Marjan Petreski & Nikica Blazevski & Blagica Petreski, 2014. "Gender Wage Gap when Women are Highly Inactive: Evidence from Repeated Imputations with Macedonian Data," Journal of Labor Research, Springer, vol. 35(4), pages 393-411, December.
    9. Lucas Van Der Velde & Joanna Tyrowicz & Karolina Goraus, 2013. "What is the true gender wage gap? A comparative analysis using data from Poland," Working Papers 2013-28, Faculty of Economic Sciences, University of Warsaw.
    10. Fraga, Eduardo & Gonzaga, Gustavo & Soares, Rodrigo R., 2017. "Selection on Ability and the Early Career Growth in the Gender Wage Gap," IZA Discussion Papers 10791, Institute of Labor Economics (IZA).
    11. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    12. Maasoumi, Esfandiar & Wang, Le, 2017. "What can we learn about the racial gap in the presence of sample selection?," Journal of Econometrics, Elsevier, vol. 199(2), pages 117-130.

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    More about this item

    Keywords

    gender wage gap; selection;

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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