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Does Education Affect HIV Status? Evidence from five African Countries

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  • Damien de Walque

Abstract

Data from the first five Demographic and Health Surveys to include HIV testing for a representative sample of the adult population are used to analyze the socioeconomic correlates of HIV infection and associated sexual behavior. Emerging from a wealth of country relevant results, some important findings can be generalized. First, successive marriages are a significant risk factor. Second, contrary to prima facie evidence, education is not positively associated with HIV status. However, schooling is one of the most consistent predictors of behavior and knowledge: education level predicts protective behaviors such as condom use, use of counseling and testing, discussion of AIDS between spouses, and knowledge about HIV/AIDS, but it also predicts a higher level of infidelity and a lower level of abstinence. Copyright The Author 2009. Published by Oxford University Press on behalf of the International Bank for Reconstruction and Development / the world bank . All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org, Oxford University Press.

Suggested Citation

  • Damien de Walque, 2009. "Does Education Affect HIV Status? Evidence from five African Countries," World Bank Economic Review, World Bank Group, vol. 23(2), pages 209-233, June.
  • Handle: RePEc:oup:wbecrv:v:23:y:2009:i:2:p:209-233
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    File URL: http://hdl.handle.net/10.1093/wber/lhp005
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    Cited by:

    1. Wendy Janssens & Jacques Gaag & Tobias Rinke de Wit & Zlata Tanović, 2014. "Refusal Bias in the Estimation of HIV Prevalence," Demography, Springer;Population Association of America (PAA), vol. 51(3), pages 1131-1157, June.
    2. Lucia Corno & Damien de Walque, 2012. "Mines, Migration and HIV/AIDS in Southern Africa," Journal of African Economies, Centre for the Study of African Economies (CSAE), vol. 21(3), pages 465-498, June.
    3. Wilson, Nicholas, 2017. "The World’s Oldest Profession? Employment-Age Profiles from the Transactional Sex Market," GLO Discussion Paper Series 77, Global Labor Organization (GLO).
    4. de Araujo, Pedro & Murray, James, 2015. "A life insurance deterrent to risky behavior in Africa," Journal of Policy Modeling, Elsevier, vol. 37(4), pages 548-576.
    5. Beegle, Kathleen & de Walque, Damien, 2009. "Demographic and socioeconomic patterns of HIV/AIDS prevalence in Africa," Policy Research Working Paper Series 5076, The World Bank.
    6. Brendan Maughan-Brown & Neil D. Lloyd & Jacob Bor & Atheendar S. Venkataramani, 2015. "Increasing access to HIV testing: Impacts on equity of coverage and uptake from a national campaign in South Africa," SALDRU Working Papers 145, Southern Africa Labour and Development Research Unit, University of Cape Town.
    7. Daniela Iorio & Raül Santaeulàlia-Llopis, 2011. "Education, HIV Status, and Risky Sexual Behavior: How Much Does the Stage of the HIV Epidemic Matter?," Working Papers 624, Barcelona Graduate School of Economics.
    8. Georgios Georgiadis & José Pineda & Francisco Rodríguez, 2010. "Has the Preston Curve Broken Down?," Human Development Research Papers (2009 to present) HDRP-2010-32, Human Development Report Office (HDRO), United Nations Development Programme (UNDP).

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