Determinants of unfair inequality in Brazil, 1995 and 2009

Bibliographic Data

ID11650786
AuthorsAna Cláudia Annegues (0000-0001-6656-3824, Universidade Federal da Paraíba, corresponding author), Erik Alencar De Figueiredo (0000-0002-3479-3665, Universidade Federal da Paraíba), Wallace Patrick Santos De Farias Souza (0000-0002-0598-936X)
Year2016
Volume2015
Issue115
Pages165-179
Publication date2016-03-28
Open AccessNo
TypeARTICLE
VenueCEPAL review (JOURNAL)
Journal identifiersISSN: 0251-2920 • E-ISSN: 1684-0348
PublisherUnited Nations Publications (PUBLISHER • US)
DOI10.18356/140e2e2d-en
OpenAlexW1928502413
LanguageEN
References cited9

This article analyses the trend of unfair inequality in Brazil (1995-2009) using a nonparametric approach to estimate the income function. The entropy metrics introduced by Li, Maasoumi and Racine (2009) are used to quantify income differences separately for each effort variable. A Gini coefficient of unfair inequality is calculated, based on the fitted values of the non-parametric estimation; and the robustness of the estimations, including circumstantial variables, is analysed. The trend of the entropies demonstrated a reduction in the income differential caused by education. The variables “hours worked” and “labour-market status” contribute significantly to explaining wage differences imputed to individual effort; but the migratory variable had little explanatory power. Lastly, the robustness analysis demonstrated the plausibility of the results obtained at each stage of the empirical work

Econometrics · Economic inequality · Economics · Explanatory power · Gini coefficient · Income inequality metrics · Inequality · Nonparametric statistics · Robustness (evolution · Statistics · Economic Theory and Policy · Income, Poverty, and Inequality · Mathematics · Social and Economic Development in India

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