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Measuring skin color inequality in women's health in Northeast Brazil: Evidence from the PCSVDFMulher survey

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  • Victor Hugo de Oliveira
  • José Raimundo Carvalho

Abstract

In this paper, we investigate whether skin color is a source of inequality in women's health by exploring the longitudinal framework of the PCSVDFMulher survey in Northeast Brazil. Specifically, we measure the skin color gradient in women's general and mental health, as well as in showing health risk behavior. We find that darker‐skinned women show poorer mental health outcomes and a higher likelihood of drinking and smoking more frequently than their lighter‐skinned counterparts. The skin color gradient is persistent and systematic, even when modeling different sources of unobserved heterogeneity and accounting for the existing socioeconomic inequalities and racial identity. We also find that racial identity is an important source of heterogeneous responses of women's health to skin tone.

Suggested Citation

  • Victor Hugo de Oliveira & José Raimundo Carvalho, 2024. "Measuring skin color inequality in women's health in Northeast Brazil: Evidence from the PCSVDFMulher survey," Health Economics, John Wiley & Sons, Ltd., vol. 33(1), pages 3-11, January.
    • Handle: RePEc:wly:hlthec:v:33:y:2024:i:1:p:3-11
    DOI: 10.1002/hec.4764
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    References listed on IDEAS

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    1. Joni Hersch, 2008. "Profiling the New Immigrant Worker: The Effects of Skin Color and Height," Journal of Labor Economics, University of Chicago Press, vol. 26(2), pages 345-386, April.
    2. Paul Contoyannis & Andrew M. Jones & Nigel Rice, 2004. "The dynamics of health in the British Household Panel Survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(4), pages 473-503.
    3. Daniel Kreisman & Marcos A. Rangel, 2015. "On the Blurring of the Color Line: Wages and Employment for Black Males of Different Skin Tones," The Review of Economics and Statistics, MIT Press, vol. 97(1), pages 1-13, March.
    4. Hidrobo, Melissa & Fernald, Lia, 2013. "Cash transfers and domestic violence," Journal of Health Economics, Elsevier, vol. 32(1), pages 304-319.
    5. David E Bloom & Michael Kuhn & Klaus Prettner, 2020. "The contribution of female health to economic development [The costs of missing the Millennium Development Goal on gender equity]," The Economic Journal, Royal Economic Society, vol. 130(630), pages 1650-1677.
    6. M. Dolores Montoya Diaz, 2002. "Socio‐economic health inequalities in Brazil: gender and age effects," Health Economics, John Wiley & Sons, Ltd., vol. 11(2), pages 141-154, March.
    7. Buchmueller, T.C. & Levinson, Z.M. & Levy, H.G. & Wolfe, B.L., 2016. "Effect of the affordable care act on racial and ethnic disparities in health insurance coverage," American Journal of Public Health, American Public Health Association, vol. 106(8), pages 1416-1421.
    8. Thomas Laidley & Benjamin Domingue & Piyapat Sinsub & Kathleen Mullan Harris & Dalton Conley, 2019. "New Evidence of Skin Color Bias and Health Outcomes Using Sibling Difference Models: A Research Note," Demography, Springer;Population Association of America (PAA), vol. 56(2), pages 753-762, April.
    9. Perreira, Krista M. & Telles, Edward E., 2014. "The color of health: Skin color, ethnoracial classification, and discrimination in the health of Latin Americans," Social Science & Medicine, Elsevier, vol. 116(C), pages 241-250.
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