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Gender and Racial Wage Gaps in Brazil 1996-2006: Evidence Using a Matching Comparisons Approach

Author

Listed:
  • Luana Marquez Garcia
  • Hugo Nopo

  • Paola Salardi

Abstract

This paper explores the evolution of Brazilian wage gaps by gender and skin color over a decade (1996-2006), using the matching comparison methodology developed by Ñopo (2008). In Brazil, racial wage gaps are more pronounced than those found along the gender divide, although both noticeably decreased over the course of the last decade. The decomposition results show that differences in observable characteristics play a crucial role in explaining wage gaps. While in the case of racial wage gaps, observable human capital characteristics account for most of the observed wage gaps, the observed gender wage gaps have the opposite sign than what the differences in human capital characteristics would predict. In both cases the role of education is prominent.

Suggested Citation

  • Luana Marquez Garcia & Hugo Nopo & Paola Salardi, 2009. "Gender and Racial Wage Gaps in Brazil 1996-2006: Evidence Using a Matching Comparisons Approach," Research Department Publications 4626, Inter-American Development Bank, Research Department.
    • Handle: RePEc:idb:wpaper:4626
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    References listed on IDEAS

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    1. G. Reza Arabsheibani & Francisco Galrao Carneiro & Andrew Henley, 2003. "Gender wage differentials in Brazil : trends over a turbulent era," Policy Research Working Paper Series 3148, The World Bank.
    2. Jean-Louis Arcand & Béatrice D'hombres, 2004. "Racial discrimination in the Brazilian labour market: wage, employment and segregation effects," Journal of International Development, John Wiley & Sons, Ltd., vol. 16(8), pages 1053-1066.
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    4. Anna Risi Vianna Crespo & Maurício Cortez Reis, 2005. "Race Discrimination in Brazil: An Analysis of the Age, Period and Cohort Effects," Discussion Papers 1114, Instituto de Pesquisa Econômica Aplicada - IPEA.
    5. Omar Arias & Gustavo Yamada & Luis Tejerina, 2004. "Education, Family Backgrounds and Racial Earnings Inequality in Brazil," Working Papers 04-04, Centro de Investigación, Universidad del Pacífico, revised 2004.
    6. Philippe G. Leite, 2005. "Race Discrimination or Inequality of Opportunities: The Brazilian Case," Ibero America Institute for Econ. Research (IAI) Discussion Papers 118, Ibero-America Institute for Economic Research.
    7. James Heckman, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    8. 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.
    9. Campante, Filipe R. & Crespo, Anna R. V. & Leite, Phillippe G. P. G., 2004. "Desigualdade Salarial entre Raças no Mercado de Trabalho Urbano Brasileiro: Aspectos Regionais," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 58(2), April.
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    Cited by:

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    2. Mauricio Reis, 2017. "Fields of Study and the Earnings Gap by Race in Brazil," Review of Development Economics, Wiley Blackwell, vol. 21(3), pages 756-785, August.
    3. Jamie Fogel & Bernardo Modenesi, 2024. "Detailed Gender Wage Gap Decompositions: Controlling for Worker Unobserved Heterogeneity Using Network Theory," Papers 2405.04365, arXiv.org.
    4. Thanh-Tam Nguyen-Huu, 2021. "Do “inferior” jobs always suffer from a wage penalty? Evidence from temporary workers in Cambodia and Pakistan," Post-Print hal-04248181, HAL.
    5. Casal, María del Pilar & Barham, Bradford L., 2013. "Motherhood wage penalties and labour market segmentation: Evidence from Argentina," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    6. Gerard, François & Lagos, Lorenzo & Severnini, Edson & Card, David, 2018. "Assortative Matching or Exclusionary Hiring? The Impact of Firm Policies on Racial Wage Differences in Brazil," CEPR Discussion Papers 13273, C.E.P.R. Discussion Papers.

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    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean

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