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The evolution of the returns to education and wage differentials in Brazil: a quantile approach

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  • Patricia Castello Stefani
  • Ciro Biderman

Abstract

This paper uses quantile regression techniques to analyze the returns to education across the conditional distribution of wages from individuals separated both by gender and skin color, while accounting for the endogeneity of the education decisions. Using data from the Brazilian households survey (PNAD) for the years of 1988 and 1996, the results indicate that the returns to education are significantly heterogeneous across the distribution of earnings, as well as the wage gap between the groups, according to gender and skin color. Moreover, there has been a significant improvement in the wage differentials between the groups across the years.

Suggested Citation

  • Patricia Castello Stefani & Ciro Biderman, 2009. "The evolution of the returns to education and wage differentials in Brazil: a quantile approach," Applied Economics, Taylor & Francis Journals, vol. 41(11), pages 1453-1460.
    • Handle: RePEc:taf:applec:v:41:y:2009:i:11:p:1453-1460
    DOI: 10.1080/00036840601019299
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    References listed on IDEAS

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    1. Ferreira, Francisco H. G. & Leite, Phillippe G. & Litchfield, Julie A., 2008. "The Rise And Fall Of Brazilian Inequality: 1981–2004," Macroeconomic Dynamics, Cambridge University Press, vol. 12(S2), pages 199-230, September.
    2. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863, Elsevier.
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    Cited by:

    1. Livini Donath & Oliver Morrissey & Trudy Owens, 2021. "Does the pay period matter in estimating returns to schooling? Evidence from East Africa," Discussion Papers 2021-01, University of Nottingham, CREDIT.
    2. Mazzutti, Caio Cícero Toledo Piza da Costa, . "Three essays on the causal impacts of child labour laws in Brazil," Economics PhD Theses, Department of Economics, University of Sussex Business School, number 0616, September.

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