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Occupational Achievements of Same-Sex Couples in the U.S. by Gender and Race

Author

Listed:
  • Coral del Río
  • Olga Alonso-Villar

Abstract

Using the 2010-2014 5-year sample of the American Community Survey, this paper investigates the roles that sexual orientation, gender, and race/ethnicity play in explaining occupational achievements and earnings. By combining the approach of Del Río and Alonso-Villar (2015) with the counterfactual method of DiNardo et al. (1996) and Gradín (2013), the authors offer a framework that allows for the simultaneous comparison of all sexual orientation–gender–race/ethnicity groups whereas controlling for characteristics. The analysis suggests that occupations matter in explaining earnings differences among groups. The sexual orientation wage premium of lesbians is quite small for blacks and much higher for Hispanics and Asians than for whites. The high magnitude of the gender wage gap in an intersectional framework is also displayed. For men, departing from the white heterosexual model involves a substantial punishment; the racial penalty is larger for heterosexuals whereas the sexual orientation penalty is greater for whites.

Suggested Citation

  • Coral del Río & Olga Alonso-Villar, 2019. "Occupational Achievements of Same-Sex Couples in the U.S. by Gender and Race," Working Papers 1901, Universidade de Vigo, Departamento de Economía Aplicada.
  • Handle: RePEc:vig:wpaper:1901
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    References listed on IDEAS

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    1. DiNardo, John & Fortin, Nicole M & Lemieux, Thomas, 1996. "Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach," Econometrica, Econometric Society, vol. 64(5), pages 1001-1044, September.
    2. 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.
    3. Heather Antecol & Anneke Jong & Michael Steinberger, 2008. "The Sexual Orientation Wage Gap: The Role of Occupational Sorting and Human Capital," ILR Review, Cornell University, ILR School, vol. 61(4), pages 518-543, July.
    4. Marieka Klawitter, 2015. "Meta-Analysis of the Effects of Sexual Orientation on Earnings," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 54(1), pages 4-32, January.
    5. Christopher S. Carpenter & Samuel T. Eppink, 2017. "Does It Get Better? Recent Estimates of Sexual Orientation and Earnings in the United States," Southern Economic Journal, John Wiley & Sons, vol. 84(2), pages 426-441, October.
    6. Alonso-Villar, Olga & del Río, Coral, 2010. "Local versus overall segregation measures," Mathematical Social Sciences, Elsevier, vol. 60(1), pages 30-38, July.
    7. Olga Alonso-Villar & Coral del Río, 2017. "The Occupational Segregation of African American Women: Its Evolution from 1940 to 2010," Feminist Economics, Taylor & Francis Journals, vol. 23(1), pages 108-134, January.
    8. Jamie H. Douglas & Michael D. Steinberger, 2015. "The Sexual Orientation Wage Gap for Racial Minorities," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 54(1), pages 59-108, January.
    9. Sylvia A. Allegretto & Michelle M. Arthur, 2001. "An Empirical Analysis of Homosexual/Heterosexual Male Earnings Differentials: Unmarried and Unequal?," ILR Review, Cornell University, ILR School, vol. 54(3), pages 631-646, April.
    10. William A. Darity & Patrick L. Mason, 1998. "Evidence on Discrimination in Employment: Codes of Color, Codes of Gender," Journal of Economic Perspectives, American Economic Association, vol. 12(2), pages 63-90, Spring.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Coral Río & Olga Alonso-Villar, 2022. "On Measuring Segregation in a Multigroup Context: Standardized Versus Unstandardized Indices," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(2), pages 633-659, September.

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    More about this item

    Keywords

    Sexual orientation; gender; race; occupational segregation; wage penalty;
    All these keywords.

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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