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Why Is Poverty So High Among Afro-Brazilians? A Decomposition Analysis of the Racial Poverty Gap

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  • Gradín, Carlos

    (UNU-WIDER)

Abstract

This study aimed to identify the major factors underlying the large discrepancy in poverty levels between two Brazilian racial groups: whites and Afro-Brazilians. We performed an Oaxaca-Blinder-type decomposition for nonlinear regressions in order to quantify the extent to which differences in observed geographic, sociodemographic, and labor characteristics (characteristics effect) account for this difference. The remaining unexplained part (coefficients effect) provides evidence on how these characteristics differentially impact on the risk of poverty in each group. A detailed decomposition of both effects allows the individual contribution of each characteristic to be determined. Our results show that the characteristics effect explains a large part of the discrepancy in poverty levels, with education and labor variables of household members explaining at least one half of the effect, and geographic and demographic variables accounting for the remainder. However, the unexplained part that remains significant has increased in importance in recent last years, and probably results from unequal access to high-quality education and the persistence of discrimination against colored workers in the labor market.

Suggested Citation

  • Gradín, Carlos, 2007. "Why Is Poverty So High Among Afro-Brazilians? A Decomposition Analysis of the Racial Poverty Gap," IZA Discussion Papers 2809, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp2809
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    Cited by:

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    3. Sami Bibi & Rim Chatti, 2010. "Gender Poverty In Tunisia: Is There A Feminization Issue?," Middle East Development Journal (MEDJ), World Scientific Publishing Co. Pte. Ltd., vol. 2(02), pages 283-307.
    4. Yeutseyeva, Sasha & Deguilhem, Thibaud, 2022. "Race, Gender and Poverty: Evidence from Brazilian Data," MPRA Paper 114411, University Library of Munich, Germany.
    5. Veras, Henrique, 2022. "Wrong place, wrong time: The long-run effects of in-utero exposure to malaria on educational attainment," Economics & Human Biology, Elsevier, vol. 44(C).
    6. Luis Ayala & Antonio Jurado & Jesús Pérez‐Mayo, 2011. "Income Poverty And Multidimensional Deprivation: Lessons From Cross‐Regional Analysis," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(1), pages 40-60, March.
    7. Esenaliev, Damir & Steiner, Susan, 2014. "Ethnicity and the distribution of welfare: Evidence from southern Kyrgyzstan," Journal of Comparative Economics, Elsevier, vol. 42(4), pages 970-982.
    8. Ryan Nehring & Ben McKay, 2013. "Scaling Up Local Development Initiatives: Brazil’s Food Acquisition Programme," Working Papers 106, International Policy Centre for Inclusive Growth.
    9. Carlos Gradin, 2015. "Poverty and Ethnicity among Black South Africans," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 27(5), pages 921-942, December.

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    More about this item

    Keywords

    household characteristics; gap; race; skin color; decomposition; Oaxaca-Blinder; Brazil; PNAD; labor market; poverty; education; participation;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J82 - Labor and Demographic Economics - - Labor Standards - - - Labor Force Composition
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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