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Endogenous schooling and the distribution of the gender wage gap

Author

Listed:
  • Jörgen Hansen
  • Roger Wahlberg

Abstract

Previous studies on the gender wage gap have relied on OLS when estimating the wage equations. However, a number of recent studies, devoted to estimating the return to education, have shown that OLS may produce biased estimates for a number of reasons. As a consequence, previous results regarding the gender wage gap may also be biased. In this paper, we first estimate wage equations using a GMM procedure applied to panel data and then investigate the distribution of the gender wage gap. The results indicate that OLS may seriously overestimate the unexplained gender wage gap. Copyright Springer-Verlag 2005

Suggested Citation

  • Jörgen Hansen & Roger Wahlberg, 2005. "Endogenous schooling and the distribution of the gender wage gap," Empirical Economics, Springer, vol. 30(1), pages 1-22, January.
    • Handle: RePEc:spr:empeco:v:30:y:2005:i:1:p:1-22
    DOI: 10.1007/s00181-004-0218-4
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    Citations

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    Cited by:

    1. Coral del Río Otero & Carlos Gradín Lago & Olga Cantó Sánchez, 2004. "El enfoque distributivo en el análisis de la discriminación salarial por razón de género," Working Papers 0405, Universidade de Vigo, Departamento de Economía Aplicada.
    2. Luis Gamboa & Blanca Zuluaga, 2013. "Is There a Motherhood Penalty? Decomposing the Family Wage Gap in Colombia," Journal of Family and Economic Issues, Springer, vol. 34(4), pages 421-434, December.
    3. Christopher J. Gerry & Byung-Yeon Kim & Carmen A Li, 2004. "The gender wage gap and wage arrears in Russia: Evidence from the RLMS," Journal of Population Economics, Springer;European Society for Population Economics, vol. 17(2), pages 267-288, June.
    4. Hugo Ñopo, 2008. "Matching as a Tool to Decompose Wage Gaps," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 290-299, May.
    5. Siddique Abu Bakkar, 2020. "Identity-based Earning Discrimination among Chinese People," IZA Journal of Development and Migration, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 11(1), pages 1-42, January.
    6. KUEPIE Mathias & DZOSSA Anaclet Désiré & KELODJOUE Samuel, 2013. "Determinants of labor market gender inequalities in Cameroon, Senegal and Mali: the role of human capital and the fertility burden," LISER Working Paper Series 2013-08, Luxembourg Institute of Socio-Economic Research (LISER).
    7. Atal, Juan Pablo & Ñopo, Hugo R. & Winder, Natalia, 2009. "New Century, Old Disparities: Gender and Ethnic Wage Gaps in Latin America," IDB Publications (Working Papers) 1131, Inter-American Development Bank.
    8. Coral Río & Carlos Gradín & Olga Cantó, 2011. "The measurement of gender wage discrimination: the distributional approach revisited," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(1), pages 57-86, March.
    9. Debayan Pakrashi & Paul Frijters, 2017. "Migration and Discrimination in Urban China: A Decomposition Approach," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 821-840, December.

    More about this item

    Keywords

    Return to education; endogenous schooling; panel data; unobserved heterogeneity; distribution of wage gap; J3; J7;
    All these keywords.

    JEL classification:

    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • J7 - Labor and Demographic Economics - - Labor Discrimination

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