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The Gender Wage Gap across the Wage Distribution in the Private and Public Sectors

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  • Wahlberg, Roger

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    (Department of Economics, School of Business, Economics and Law, Göteborg University)

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    Abstract

    This study examines gender wage differentials across the wage distribution in the Swedish private and public sectors using quantile regression. Women have lower wages than men across the entire wage distribution. The gender gap increases throughout the distribution and there is a speeding-up effect in the gender gap starting around the 75th percentile, especially in the public sector. Hence, there is evidence of a glass ceiling effect in both the private and public sectors in the Swedish labor market. Using OLS leads to an overestimation of the wage gap at the bottom of the wage distribution, and an underestimation at the top. By focusing only on the mean gender wage gaps, considerable variations in the gender wage gap pass unnoticed.

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    File URL: http://hdl.handle.net/2077/17897
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    Bibliographic Info

    Paper provided by University of Gothenburg, Department of Economics in its series Working Papers in Economics with number 317.

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    Length: 32 pages
    Date of creation: 15 Sep 2008
    Date of revision:
    Handle: RePEc:hhs:gunwpe:0317

    Contact details of provider:
    Postal: Department of Economics, School of Business, Economics and Law, University of Gothenburg, Box 640, SE 405 30 GÖTEBORG, Sweden
    Phone: 031-773 10 00
    Web page: http://www.handels.gu.se/econ/
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    Related research

    Keywords: Quantile regression; counterfactual distribution; gender wage gap; sector;

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    1. Polachek, Solomon William, 1981. "Occupational Self-Selection: A Human Capital Approach to Sex Differences in Occupational Structure," The Review of Economics and Statistics, MIT Press, vol. 63(1), pages 60-69, February.
    2. Wiji Arulampalam & Alison L. Booth & Mark L. Bryan, 2007. "Is There a Glass Ceiling over Europe? Exploring the Gender Pay Gap across the Wage Distribution," Industrial and Labor Relations Review, ILR Review, Cornell University, ILR School, vol. 60(2), pages 163-186, January.
    3. Hiau Joo Kee, 2006. "Glass Ceiling or Sticky Floor? Exploring the Australian Gender Pay Gap," The Economic Record, The Economic Society of Australia, vol. 82(259), pages 408-427, December.
    4. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    5. Halvorsen, Robert & Palmquist, Raymond, 1980. "The Interpretation of Dummy Variables in Semilogarithmic Equations," American Economic Review, American Economic Association, vol. 70(3), pages 474-75, June.
    6. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
    7. James Albrecht & Anders Bjorklund & Susan Vroman, 2003. "Is There a Glass Ceiling in Sweden?," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 145-177, January.
    8. Solomon William Polachek, 1985. "Occupation Segregation: A Defense of Human Capital Predictions," Journal of Human Resources, University of Wisconsin Press, vol. 20(3), pages 437-440.
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