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The effects of differences in year-round, full-time labor market experience on gender wage levels in the United States

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  • Paul Gabriel

Abstract

This paper utilizes longitudinal information on annual hours worked to construct a more robust measure of labor market experience for young workers in the USA. This enhanced experience measure is then used to assess recent gender wage differentials. Our experience measure yields a dramatic improvement in the ability of standard earnings regressions to explain the variation in wages across individuals, especially for young women. In addition, our results indicate that approximately one-fourth of the gender difference in average wages is attributable to the higher work experience levels of men.

Suggested Citation

  • Paul Gabriel, 2005. "The effects of differences in year-round, full-time labor market experience on gender wage levels in the United States," International Review of Applied Economics, Taylor & Francis Journals, vol. 19(3), pages 369-377.
    • Handle: RePEc:taf:irapec:v:19:y:2005:i:3:p:369-377
    DOI: 10.1080/02692170500119813
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    References listed on IDEAS

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    1. Altonji, Joseph G. & Blank, Rebecca M., 1999. "Race and gender in the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 48, pages 3143-3259, Elsevier.
    2. Light, Audrey & Ureta, Manuelita, 1995. "Early-Career Work Experience and Gender Wage Differentials," Journal of Labor Economics, University of Chicago Press, vol. 13(1), pages 121-154, January.
    3. Cotton, Jeremiah, 1988. "On the Decomposition of Wage Differentials," The Review of Economics and Statistics, MIT Press, vol. 70(2), pages 236-243, May.
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    Cited by:

    1. Takahiro Hoshino, 2013. "Semiparametric Bayesian Estimation for Marginal Parametric Potential Outcome Modeling: Application to Causal Inference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(504), pages 1189-1204, December.

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    More about this item

    Keywords

    Wages; gender; discrimination; JEL Classification: J1; J16;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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