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Socioeconomic status, sexual behavior, and differential AIDS mortality: evidence from Côte d’Ivoire

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  • Denis Cogneau

  • Michael Grimm

Abstract

Lack of knowledge about differential AIDS mortality seriously hampers the study of the economic impact of AIDS in developing countries. We derive HIV infection risk differentials by age, education, and other microeconomic characteristics using the Ivorian Demographic and Health Survey. Our model is based on econometrically estimated equations using commonly available variables, therefore it can be used whenever such a survey is available but there is no representative information about HIV infection by socioeconomic group. For instance, we found that educated people have a higher risk of HIV infection, because they are more likely to have several sexual partners. However, this effect is partly offset by a higher probability of condom use relative to less educated people. The identification of the socioeconomic characteristics of low and high risk groups seems indispensable to set up adequate AIDS prevention and therapy policies in developing countries. Copyright Springer Science+Business Media B.V. 2006

Suggested Citation

  • Denis Cogneau & Michael Grimm, 2006. "Socioeconomic status, sexual behavior, and differential AIDS mortality: evidence from Côte d’Ivoire," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 25(4), pages 393-407, August.
    • Handle: RePEc:kap:poprpr:v:25:y:2006:i:4:p:393-407
    DOI: 10.1007/s11113-006-9008-3
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    1. Denis Cogneau & Michael Grimm, 2002. "AIDS and Income Distribution in Africa; A Micro-simulation Study for Côte d'Ivoire," Working Papers DT/2002/15, DIAL (Développement, Institutions et Mondialisation).
    2. Michael Kremer, 1996. "Integrating Behavioral Choice into Epidemiological Models of AIDS," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(2), pages 549-573.
    3. Simon Gregson & Heather Waddell & Stephen Chandiwana, 2001. "School education and HIV control in sub-Saharan Africa: from discord to harmony?," Journal of International Development, John Wiley & Sons, Ltd., vol. 13(4), pages 467-485.
    4. Michael Kremer, 1996. "Integrating Behavioral Choice into Epidemiological Models of the AIDS Epidemic," NBER Working Papers 5428, National Bureau of Economic Research, Inc.
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    1. Juan Leon & David P. Baker & Daniel Salinas & Adrienne Henck, 2017. "Is education a risk factor or social vaccine against HIV/AIDS in Sub-Saharan Africa? The effect of schooling across public health periods," Journal of Population Research, Springer, vol. 34(4), pages 347-372, December.
    2. Muñoz, Ismael G. & Baker, David P., 2026. "Revisiting the education-HIV gradient in Africa: Cohort variation analysis of a temporal shift and speculation on causes," Social Science & Medicine, Elsevier, vol. 388(C).
    3. Nicolas Couderc & Nicolas Drouhin & Bruno Ventelou, 2006. "SIDA et croissance économique : le risque d'une « trappe épidémiologique »," Revue d'économie politique, Dalloz, vol. 116(5), pages 697-715.
    4. Kenneth Harttgen, 2007. "The Impact of HIV on Children´s Welfare," Ibero America Institute for Econ. Research (IAI) Discussion Papers 157, Ibero-America Institute for Economic Research.

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