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Returns to education, intergenerational mobility, and inequality trends in Brazil

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  • Marcelo Neri
  • Tiago Bonomo

Abstract

Education-related changes are often argued as the main reasons for changes in earnings distribution. However, omitted variable and measurement error biases possibly affect econometric estimates of these effects. Brazil experienced a sharp fall of individual labour income inequality between 1996 and 2014. Coincidentally, in the Brazilian National Household Sample Survey ( PNAD) there are special supplements on family background in these two years that allow us to better address the role played by falling education returns.

Suggested Citation

  • Marcelo Neri & Tiago Bonomo, 2018. "Returns to education, intergenerational mobility, and inequality trends in Brazil," WIDER Working Paper Series wp-2018-129, World Institute for Development Economic Research (UNU-WIDER).
    • Handle: RePEc:unu:wpaper:wp-2018-129
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    References listed on IDEAS

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    1. Lam, David & Schoeni, Robert F, 1993. "Effects of Family Background on Earnings and Returns to Schooling: Evidence from Brazil," Journal of Political Economy, University of Chicago Press, vol. 101(4), pages 710-740, August.
    2. Neidhöfer, Guido & Serrano, Joaquín & Gasparini, Leonardo, 2018. "Educational inequality and intergenerational mobility in Latin America: A new database," Journal of Development Economics, Elsevier, vol. 134(C), pages 329-349.
    3. Shoshana Grossbard (ed.), 2006. "Jacob Mincer A Pioneer of Modern Labor Economics," Springer Books, Springer, number 978-0-387-29175-8, December.
    4. Arden Finn & Murray Leibbrandt & David Lam, 2015. "Schooling inequality, returns to schooling, and earnings inequality: Evidence from Brazil and South Africa," WIDER Working Paper Series 050, World Institute for Development Economic Research (UNU-WIDER).
    5. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    6. Reis, Mauricio Cortez & Ramos, Lauro, 2011. "Escolaridade dos Pais, Desempenho no Mercado de Trabalho e Desigualdade de Rendimentos," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 65(2), June.
    7. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    8. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-1160, September.
    9. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Marcelo Neri, 2018. "What are the main drivers of Brazilian income distribution changes in the new millennium?," WIDER Working Paper Series wp-2018-186, World Institute for Development Economic Research (UNU-WIDER).
    2. Marcelo Neri, 2018. "What are the main drivers of Brazilian income distribution changes in the new millennium?," WIDER Working Paper Series 186, World Institute for Development Economic Research (UNU-WIDER).

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