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Gender pay gap in a highly qualified sector: evidence from administrative data

Author

Listed:
  • Nina Giordano

    (Universidad de la República (Uruguay). Facultad de Ciencias Económicas y de Administración. Departamento de Métodos Cuantitativos)

  • Cecilia Parada

    (Universidad de la República (Uruguay). Facultad de Ciencias Económicas y de Administración. Instituto de Economía)

  • Mijail Yapor

    (Universidad de la República (Uruguay). Facultad de Ciencias Económicas y de Administración. Instituto de Estadística)

Abstract

This paper studies the existence of gender pay gaps within the highly skilled profession of medicine in Uruguay. We focus on understanding whether the way an occupation is structured may impact income equality. We use administrative data from the Human Resources Control and Analysis System (SCARH) database, published by the Ministry of Public Health of Uruguay. We estimate the gross and conditional gender pay gaps among physicians for the entire period between 2008 and 2018. Furthermore, we evaluated two potential mechanisms that could explain part of the differences in physician earnings, specifically horizontal segregation (the concentration of women in certain specialities with lower salaries) and vertical segregation (the under representation of women in top hierarchical positions). Our results indicate differences in labour income between female and male physicians, and that horizontal and vertical segregation play a role in explaining these gaps.Length: 33 pages

Suggested Citation

  • Nina Giordano & Cecilia Parada & Mijail Yapor, 2023. "Gender pay gap in a highly qualified sector: evidence from administrative data," Documentos de Trabajo (working papers) 23-21, Instituto de Economía - IECON.
    • Handle: RePEc:ulr:wpaper:dt-21-23
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    File URL: https://hdl.handle.net/20.500.12008/41948
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    References listed on IDEAS

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    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. 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.
    4. Kimberly Bayard & Judith Hellerstein & David Neumark & Kenneth Troske, 2003. "New Evidence on Sex Segregation and Sex Differences in Wages from Matched Employee-Employer Data," Journal of Labor Economics, University of Chicago Press, vol. 21(4), pages 887-922, October.
    5. Engelbert Theurl & Hannes Winner, 2011. "The male–female gap in physician earnings: evidence from a public health insurance system," Health Economics, John Wiley & Sons, Ltd., vol. 20(10), pages 1184-1200, October.
    6. repec:dau:papers:123456789/10755 is not listed on IDEAS
    7. Marisa Bucheli & Graciela Sanroman, 2004. "Salarios Femeninos en el Uruguay ¿Existe un Techo de Cristal?," Documentos de Trabajo (working papers) 0504, Department of Economics - dECON.
    8. Fernanda Rivas & Máximo Rossi, 2002. "Evolución de las diferencias salariales entre el sector público y el sector privado en Uruguay," Documentos de Trabajo (working papers) 0202, Department of Economics - dECON.
    9. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    10. Myeong-Su Yun, 2005. "A Simple Solution to the Identification Problem in Detailed Wage Decompositions," Economic Inquiry, Western Economic Association International, vol. 43(4), pages 766-772, October.
    11. Fernando Borraz & Cecilia Robano, 2010. "Brecha Salarial en Uruguay," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 25(1), pages 49-77, June.
    12. Macpherson, David A & Hirsch, Barry T, 1995. "Wages and Gender Composition: Why Do Women's Jobs Pay Less?," Journal of Labor Economics, University of Chicago Press, vol. 13(3), pages 426-471, July.
    13. Ben Jann, 2008. "The Blinder–Oaxaca decomposition for linear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 453-479, December.
    14. Claudia Goldin, 2014. "A Grand Gender Convergence: Its Last Chapter," American Economic Review, American Economic Association, vol. 104(4), pages 1091-1119, April.
    15. Paul Carrillo & Néstor Gandelman & Virginia Robano, 2014. "Sticky floors and glass ceilings in Latin America," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(3), pages 339-361, September.
    16. Alicia C. Sasser, 2005. "Gender Differences in Physician Pay: Tradeoffs Between Career and Family," Journal of Human Resources, University of Wisconsin Press, vol. 40(2).
    17. Sergio P. Firpo & Nicole M. Fortin & Thomas Lemieux, 2018. "Decomposing Wage Distributions Using Recentered Influence Function Regressions," Econometrics, MDPI, vol. 6(2), pages 1-40, May.
    18. Fernando Rios-Avila, 2020. "Recentered influence functions (RIFs) in Stata: RIF regression and RIF decomposition," Stata Journal, StataCorp LP, vol. 20(1), pages 51-94, March.
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    More about this item

    Keywords

    gender pay gaps; highly prestigious occupations; physicians; segregation;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • 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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