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Male-female wage differentials in the San Francisco Bay Area

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  • Ganji, Niloofar

Abstract

Despite all efforts in the past few decades, the pace of male-female wage convergence was very slow. San Francisco Bay Area as an advanced, culturally diverse and a pioneer socioeconomically metropolitan suffers from male-female wage discrimination. It is the purpose of this study to estimate the average extent of discrimination against female workers in the Bay Area and to provide a quantitative assessment of the sources of wage inequality using Blinder-Oaxaca decomposition. The results indicate that influencing factors such as education, marital status, and work experience are rewarded differently between men and women. Additionally, the major portion of the wage-gap remains unexplained with human capital characteristics.

Suggested Citation

  • Ganji, Niloofar, 2019. "Male-female wage differentials in the San Francisco Bay Area," MPRA Paper 95140, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:95140
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    References listed on IDEAS

    as
    1. Francine D. Blau & Lawrence M. Kahn, 2017. "The Gender Wage Gap: Extent, Trends, and Explanations," Journal of Economic Literature, American Economic Association, vol. 55(3), pages 789-865, September.
    2. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    3. Kunze, Astrid, 2005. "The evolution of the gender wage gap," Labour Economics, Elsevier, vol. 12(1), pages 73-97, February.
    4. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    5. Astrid Kunze, 2008. "Gender wage gap studies: consistency and decomposition," Empirical Economics, Springer, vol. 35(1), pages 63-76, August.
    6. David Neumark, 1988. "Employers' Discriminatory Behavior and the Estimation of Wage Discrimination," Journal of Human Resources, University of Wisconsin Press, vol. 23(3), pages 279-295.
    7. Ben Jann, 2008. "The Blinder–Oaxaca decomposition for linear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 453-479, December.
    8. Nicole M. Fortin, 2008. "The Gender Wage Gap among Young Adults in the United States: The Importance of Money versus People," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Gender wage-gap; Blinder-Oaxaca decomposition; Human capital characteristics; Twofold decomposition;
    All these keywords.

    JEL classification:

    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J7 - Labor and Demographic Economics - - Labor Discrimination

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