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Race, Gender and Poverty: Evidence from Brazilian Data

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  • Yeutseyeva, Sasha
  • Deguilhem, Thibaud

Abstract

Race and gender are commonly considerated as two of the most important structural factors associated with unequal socioeconomic systems. Previous research has found that these factors are significant for explaining the income inequality in Latin America and particularly in Brazil. This study aims to address whether both determinants predict an individual’s chances of being in poverty in Brazil, using national dataset and articulating different econometric strategies. Overall, being a woman had a small positive impact on an individual’s predicted chance of poverty and only in a probability linear specification. We think that this result does not align well with previous literature because of the selection bias affecting women labor market participation. However, evidence of strong and robust racial differenciation in Brazil was present. Discussing the representativeness of the sample, this study highlights the importance of data quality as well as the relevance of using various statistical methods.

Suggested Citation

  • Yeutseyeva, Sasha & Deguilhem, Thibaud, 2022. "Race, Gender and Poverty: Evidence from Brazilian Data," MPRA Paper 114411, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:114411
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    References listed on IDEAS

    as
    1. Carlos Gradin, 2009. "Why is Poverty So High Among Afro-Brazilians? A Decomposition Analysis of the Racial Poverty Gap," Journal of Development Studies, Taylor & Francis Journals, vol. 45(9), pages 1426-1452.
    2. Claudiney Pereira, 2016. "Ethno-Racial Poverty and Income Inequality in Brazil," Commitment to Equity (CEQ) Working Paper Series 60, Tulane University, Department of Economics.
    3. Verner, Dorte, 2004. "Education and its poverty-reducing effects: The case of Paraiba, Brazil," Policy Research Working Paper Series 3321, The World Bank.
    4. Ferreira, Francisco H. G. & Lanjouw, Peter & Neri, Marcelo Côrtes, 2003. "A Robust Poverty Profile for Brazil Using Multiple Data Sources," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 57(1), January.
    5. Claudiney Pereira, 2016. "Ethno-Racial Poverty and Income Inequality in Brazil," Commitment to Equity (CEQ) Working Paper Series 1360, Tulane University, Department of Economics.
    6. Luiza Nassif Pires & Luísa Cardoso & Ana Luíza Matos de Oliveira, 2021. "Gender and Race in the Spotlight during the COVID-19 Pandemic: The Impact of the Emergency Benefit on Poverty and Extreme Poverty in Brazil," Economics Policy Note Archive 21-2, Levy Economics Institute.
    7. Baumann, Renato, 2002. "Brazil in the 1990s: an economy in transition," Sede de la CEPAL en Santiago (Estudios e Investigaciones) 31748, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    8. Eduardo Mantoan & Vinícius Centeno & Carmem Feijo, 2021. "Why has the Brazilian economy stagnated in the 2010s? A Minskyan analysis of the behavior of non-financial companies in a financialized economy," Review of Evolutionary Political Economy, Springer, vol. 2(3), pages 529-550, December.
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    More about this item

    Keywords

    Brazil; poverty; race; gender; inequality;
    All these keywords.

    JEL classification:

    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • N96 - Economic History - - Regional and Urban History - - - Latin America; Caribbean

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