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Estimation of Opportunity Inequality in Brazil using Nonparametric Local Logistic Regression

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Author Info

  • Erik Alencar de Figueiredo
  • Flavio Augusto Ziegelmann

Abstract

This article measured opportunity inequality in Brazil by combining a series of theoretical and empirical tools. The database was built using a two-sample instrumental variable (TSIV), developed by Angrist and Krueger. After that, the axiomatic approach put forward by O'Neill et al. was used, in which the estimation of children's income distribution function is conditional on their fathers' wages. The inference process was based on nonparametric local logistic regression. The results indicate that Brazil has a high level of opportunity inequality. In other words, in the context of intergenerational mobility, those whose fathers belong to lower income strata have to expend greater effort in order to attain a certain income level.

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File URL: http://www.tandfonline.com/doi/abs/10.1080/00220388.2010.500661
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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Journal of Development Studies.

Volume (Year): 46 (2010)
Issue (Month): 9 ()
Pages: 1593-1606

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Handle: RePEc:taf:jdevst:v:46:y:2010:i:9:p:1593-1606

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Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Mini-curso
    by Erik Figueiredo in Moral Hazard on 2011-03-03 21:25:00
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Cited by:
  1. Joseph Deutsch & Jacques Silber, 2011. "An ordinal approach to the study of intergenerational opportunities for standard of living: the case of Latin America," Journal of Economic Inequality, Springer, vol. 9(4), pages 579-604, December.

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