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HIV Status and Labor Market Participation in South Africa

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  • James A. Levinsohn
  • Zoë McLaren
  • Olive Shisana
  • Khangelani Zuma

Abstract

Because individuals with HIV are more likely to fall into poverty, and the poor may be at higher risk of contracting HIV, simple estimates of the effect of HIV status on economic outcomes will tend to be biased. In this paper, we use two econometric methods based on the propensity score to estimate the causal effect of HIV status on employment outcomes in South Africa. We rely on rich data on sexual behavior and knowledge of HIV from a large national household-based survey, which included HIV testing, to control for systematic differences between HIV-positive and HIV-negative individuals. This paper provides the first nationally representative estimates of the impact of HIV status on labor market outcomes for southern Africa. We find that being HIV-positive is associated with a 6 to 7 percentage point increase in the likelihood of being unemployed. South Africans with less than a high school education are 10 to 11 percentage points more likely to be unemployed if they are HIV-positive. Despite high unemployment rates, being HIV-positive confers a disadvantage and reinforces existing inequalities in South Africa.

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  • James A. Levinsohn & Zoë McLaren & Olive Shisana & Khangelani Zuma, 2011. "HIV Status and Labor Market Participation in South Africa," NBER Working Papers 16901, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:16901
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    1. John Strauss & Duncan Thomas, 1998. "Health, Nutrition, and Economic Development," Journal of Economic Literature, American Economic Association, vol. 36(2), pages 766-817, June.
    2. DiNardo, John & Fortin, Nicole M & Lemieux, Thomas, 1996. "Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach," Econometrica, Econometric Society, vol. 64(5), pages 1001-1044, September.
    3. Sebnem Kalemli-Ozcan, 2012. "AIDS, “reversal” of the demographic transition and economic development: evidence from Africa," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(3), pages 871-897, July.
    4. Markus Frlich, 2004. "Finite-Sample Properties of Propensity-Score Matching and Weighting Estimators," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 77-90, February.
    5. Harsha Thirumurthy & Joshua Graff Zivin & Markus Goldstein, 2008. "The Economic Impact of AIDS Treatment: Labor Supply in Western Kenya," Journal of Human Resources, University of Wisconsin Press, vol. 43(3), pages 511-552.
    6. James Habyarimana & Bekezela Mbakile & Cristian Pop-Eleches, 2010. "The Impact of HIV/AIDS and ARV Treatment on Worker Absenteeism: Implications for African Firms," Journal of Human Resources, University of Wisconsin Press, vol. 45(4), pages 809-839.
    7. Kenneth Y. Chay & Michael Greenstone, 2005. "Does Air Quality Matter? Evidence from the Housing Market," Journal of Political Economy, University of Chicago Press, vol. 113(2), pages 376-424, April.
    8. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
    9. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863, Elsevier.
    10. James Heckman & Salvador Navarro-Lozano, 2004. "Using Matching, Instrumental Variables, and Control Functions to Estimate Economic Choice Models," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 30-57, February.
    11. Bloom, David E. & Mahal, Ajay S., 1997. "Does the AIDS epidemic threaten economic growth?," Journal of Econometrics, Elsevier, vol. 77(1), pages 105-124, March.
    12. Clive Bell & Shantayanan Devarajan & Hans Gersbach, 2003. "The long-run economic costs of AIDS : theory and an application to South Africa," Policy Research Working Paper Series 3152, The World Bank.
    13. Busso, Matias & DiNardo, John & McCrary, Justin, 2009. "New Evidence on the Finite Sample Properties of Propensity Score Matching and Reweighting Estimators," IZA Discussion Papers 3998, Institute of Labor Economics (IZA).
    14. O. Ashenfelter & D. Card (ed.), 1999. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 3, number 3.
    15. Alwyn Young, 2005. "The Gift of the Dying: The Tragedy of AIDS and the Welfare of Future African Generations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(2), pages 423-466.
    16. C Arndt & J D Lewis, 2000. "The Macro Implications of HIV/AIDS in South Africa: A Preliminary Assessment," South African Journal of Economics, Economic Society of South Africa, vol. 68(5), pages 380-392, December.
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    Cited by:

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    2. Chicoine, Luke, 2012. "AIDS mortality and its effect on the labor market: Evidence from South Africa," Journal of Development Economics, Elsevier, vol. 98(2), pages 256-269.
    3. Leandro De Magalhães & Raül Santaeulàlia-Llopis, 2015. "The Consumption, Income, and Wealth of the Poorest: Cross-Sectional Facts of Rural and Urban Sub-Saharan Africa for Macroeconomists," Bristol Economics Discussion Papers 15/655, School of Economics, University of Bristol, UK.
    4. Luke Chicoine & Emily Lyons & Alexia Sahue, 2021. "The impact of HIV/AIDS on human capital investment in Sub‐Saharan Africa: New evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 842-852, September.
    5. Bernhard Schmidpeter, 2015. "The Fatal Consequences of Grief," CDL Aging, Health, Labor working papers 2015-07, The Christian Doppler (CD) Laboratory Aging, Health, and the Labor Market, Johannes Kepler University Linz, Austria.
    6. Novak, Lindsey, 2020. "Persistent norms and tipping points: The case of female genital cutting," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 433-474.
    7. Bell, Griffin J. & Ncayiyana, Jabulani & Sholomon, Ari & Goel, Varun & Zuma, Khangelani & Emch, Michael, 2022. "Race, place, and HIV: The legacies of apartheid and racist policy in South Africa," Social Science & Medicine, Elsevier, vol. 296(C).
    8. Chijioke O. Nwosu, 2016. "The impact of health on the employment and earnings of young South Africans," Working Papers 601, Economic Research Southern Africa.
    9. Aleksandra Jakubowski & Katherine Snyman & Dalsone Kwarisiima & Norton Sang & Rachel Burger & Laura Balzer & Tamara Clark & Gabriel Chamie & Starley Shade & Craig Cohen & Elizabeth Bukusi & Edwin Char, 2018. "High CD4 counts associated with better economic outcomes for HIV-positive adults and their HIV-negative household members in the SEARCH Trial," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-18, June.
    10. Bernhard Schmidpeter, 2015. "The Fatal Consequences of Grief," Economics working papers 2015-06, Department of Economics, Johannes Kepler University Linz, Austria.
    11. Rodolfo Manuelli & Emircan Yurdagul, 2021. "AIDS, Human Capital and Development," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 42, pages 178-193, October.

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    JEL classification:

    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

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