IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v33y2024i1p3-11.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hec.4764
    Download Restriction: no
    File URL: https://libkey.io/10.1002/hec.4764?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Hidrobo, Melissa & Fernald, Lia, 2013. "Cash transfers and domestic violence," Journal of Health Economics, Elsevier, vol. 32(1), pages 304-319.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Carvalho, J.R. & de Oliveira, V.H. & Ferreira Soares, S.P., 2023. "Skin Color Gap within Couples and Intimate Partner Violence in Northeast, Brazil: Evidence from the PCSVDFMulher," Health, Econometrics and Data Group (HEDG) Working Papers 23/01, HEDG, c/o Department of Economics, University of York.
    2. Cai, Zhengyu & Maguire, Karen & Winters, John V., 2019. "Who benefits from local oil and gas employment? Labor market composition in the oil and gas industry in Texas and the rest of the United States," Energy Economics, Elsevier, vol. 84(C).
    3. JooHee Han, 2020. "Does Skin Tone Matter? Immigrant Mobility in the U.S. Labor Market," Demography, Springer;Population Association of America (PAA), vol. 57(2), pages 705-726, April.
    4. Hersch, Joni, 2024. "Colorism and Immigrant Earnings in the United States, 2015–2024," IZA Discussion Papers 17397, Institute of Labor Economics (IZA).
    5. Calzada, Esther J. & Kim, Yeonwoo & O'Gara, Jaimie L., 2019. "Skin color as a predictor of mental health in young Latinx children," Social Science & Medicine, Elsevier, vol. 238(C), pages 1-1.
    6. Cai, Zhengyu & Maguire, Karen & Winters, John V., 2018. "Who Benefits from Local Oil and Gas Employment? Labor Market Composition in the Oil and Gas Industry in Texas," GLO Discussion Paper Series 246, Global Labor Organization (GLO).
    7. Jofre-Bonet, M. & Rossello-Roig, M. & Serra-Sastre, V., 2016. "The Blow of Domestic Violence on Children's Health Outcomes," Working Papers 16/02, Department of Economics, City University London.
    8. Scott R Sanders & Michael R Cope & Paige N Park & Wesley Jeffery & Jorden E Jackson, 2020. "Infants without health insurance: Racial/ethnic and rural/urban disparities in infant households’ insurance coverage," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-13, January.
    9. Nakabayashi, Masaki, 2011. "Schooling, employer learning, and internal labor market effect: Wage dynamics and human capital investment in the Japanese steel industry, 1930-1960s," MPRA Paper 30597, University Library of Munich, Germany.
    10. Augusto Mendoza Calderón, 2017. "El Efecto del Empleo sobre la Violencia Doméstica: Evidencia para las Mujeres Peruanas," Working Papers 99, Peruvian Economic Association.
    11. Bidisha Mandal & Nilton Porto & D. Elizabeth Kiss & Soo Hyun Cho & Lorna Saboe‐Wounded Head, 2023. "Health insurance coverage during the COVID‐19 pandemic: The role of Medicaid expansion," Journal of Consumer Affairs, Wiley Blackwell, vol. 57(1), pages 296-319, January.
    12. Damiano Fiorillo & Giuseppe Lubrano Lavadera & Nunzia Nappo, 2020. "Individual Heterogeneity in the Association Between Social Participation and Self-rated Health: A Panel Study on BHPS," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(2), pages 645-667, September.
    13. Svetlana Pashchenko & Ponpoje (Poe) Porapakkarm & Mariacristina De Nardi, 2017. "The Lifetime Costs of Bad Health," 2017 Meeting Papers 533, Society for Economic Dynamics.
    14. Greene, William, 2007. "Functional Form and Heterogeneity in Models for Count Data," Foundations and Trends(R) in Econometrics, now publishers, vol. 1(2), pages 113-218, August.
    15. Ozdamar, Oznur & Giovanis, Eleftherios, 2016. "Being Healthy in Turkey: A Pseudo-Panel Data Analysis," MPRA Paper 95838, University Library of Munich, Germany.
    16. Maite Blázquez & Elena Cottini & Ainhoa Herrarte, 2014. "The socioeconomic gradient in health: how important is material deprivation?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(2), pages 239-264, June.
    17. Cesur, Resul & Rodríguez-Planas, Núria & Roff, Jennifer Louise & Simon, David, 2022. "Domestic Violence and Income: Quasi-Experimental Evidence from the Earned Income Tax Credit," IZA Discussion Papers 15208, Institute of Labor Economics (IZA).
    18. Roy, Shalini & Hidrobo, Melissa & Hoddinott, John F. & Ahmed, Akhter, 2021. "Transfers, behavior change communication, and intimate partner violence: Post-program evidence from rural Bangladesh," IFPRI book chapters, in: Securing food for all in Bangladesh, chapter 15, pages 549-590, International Food Policy Research Institute (IFPRI).
    19. Shinsuke Asakawa, 2020. "Can Child Benefits Shape Parents' Attitudes toward Childrearing in Japan?: Effects of Child Benefit Policy Expansions," Discussion Papers in Economics and Business 19-04-Rev.2, Osaka University, Graduate School of Economics.
    20. M. Caridad Araujo & Mariano Bosch & Norbert Schady, 2017. "Can Cash Transfers Help Households Escape an Intergenerational Poverty Trap?," NBER Chapters, in: The Economics of Poverty Traps, pages 357-382, National Bureau of Economic Research, Inc.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:hlthec:v:33:y:2024:i:1:p:3-11. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/5749 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.