Schooling, Wealth, Risky Sexual Behaviour, and HIV/AIDS in Sub-Saharan Africa

References

• Aguero, J., & Bharadwaj, P. (2014). Do the more educated know more about health? Evidence from schooling and HIV knowledge in Zimbabwe. Economic Development and Cultural Change, 62, 489–517.
   Web of Science ®Google Scholar
• Alsan, M., & Cutler, D. (2013). Girls education and HIV risk: Evidence from Uganda. Journal of Health Economics, 32, 863–872.
   PubMed Web of Science ®Google Scholar
• Arunachalam, R., & Shah, M. (2013). Compensated for life: Sex work and disease risk. Journal of Human Resources, 48, 345–369.
   Web of Science ®Google Scholar
• Baird, S., Chirwa, E., Mcintosh, C., & Ozler, B. (2009). The short-term impacts of a schooling conditional cash transfer program on the sexual behavior of young women. Health Economics, 19, 55–68.
   Web of Science ®Google Scholar
• Baird, S., Garfein, R., McIntosh, C., & Ozler, B. (2012). Impact of a cash transfer program for schooling on prevalence of HIV and HSV-2 in Malawi: A cluster randomised trial. The Lancet, 379, 1320–1329.
   PubMed Web of Science ®Google Scholar
• Baird, S., McIntosh, C., & Ozler, B. (2011). Cash or condition: Evidence from a randomised cash transfer program. Quarterly Journal of Economics, 126, 1709–1753.
   Web of Science ®Google Scholar
• Baral, S., Beyrer, C., Muessig, K., Poteat, T., Wirtz, A. L., Decker, M. R., ... Kerrigan, D. (2012). Burden of HIV among female sex workers in low-income and middle-income countries: A systematic review and meta-analysis. The Lancet Infectious Diseases, 12, 538–549.
   PubMed Web of Science ®Google Scholar
• Bingenheimer, J. B. (2010). Men’s multiple sexual partnerships in 15 sub‐Saharan African countries: Sociodemographic patterns and implications. Studies in Family Planning, 41, 1–17.
   PubMed Web of Science ®Google Scholar
• Black, S., Devereux, P., & Salvanes, K. (2008). Staying in the classroom and out of the maternity ward? The effect of compulsory schooling on teenage births. Economic Journal, 118, 1025–1054.
   Web of Science ®Google Scholar
• Bollen, K., Glanville, J., & Stecklov, G. (2002). Economic status proxies in studies of fertility in developing countries: Does the measure matter? Population Studies, 56, 81–96.
   PubMed Web of Science ®Google Scholar
• Burke, M., Gong, E., & Jones, K. (2015). Income shocks and HIV in Africa. Economic Journal, 125, 1157–1189.
   Web of Science ®Google Scholar
• Burlando, A. (2014). Power outages, power externalities, and baby booms. Demography, 51, 1477–1500.
   PubMed Web of Science ®Google Scholar
• Case, A., Paxson, C., & Ableidinger, J. (2004). Orphans in Africa: Parental death, poverty and school enrollment. Demography, 41, 483–508.
   PubMed Web of Science ®Google Scholar
• Corno, L., & Aureo, D. P. (2016). Biomarkers and self-reported sexual behaviors. CEPR Discussion Paper 10271.
   Google Scholar
• Cutler, D., Deaton, A., & Lleras-Muney, A. (2006). The determinants of mortality. Journal of Economic Perspectives, 20, 97–120.
   Web of Science ®Google Scholar
• Cutler, D., & Lleras-Muney, A. (2010). Understanding differences in health behaviors by education. Journal of Health Economics, 29, 1–28.
   PubMed Web of Science ®Google Scholar
• De Walque, D. (2007a). How does the impact of an HIV/AIDS information campaign vary with educational attainment? Evidence from rural Uganda. Journal of Development Economics, 84, 686–714.
   Web of Science ®Google Scholar
• De Walque, D. (2007b). Sero-discordant couples in five African countries: Implications for prevention strategies. Population and Development Review, 33, 501–523.
   Web of Science ®Google Scholar
• De Walque, D. (2009). Does education affect HIV status? Evidence from five African Countries. The World Bank Economic Review, 23, 209–233.
   Web of Science ®Google Scholar
• DeNeve, J.-W., Gunther Fink, S. V., Subramanian, S. M., & Bor, J. (2015). Length of secondary schooling and risk of HIV infection in Botswana: Evidence from a natural experiment. Lancet Global Health, 3, e470–77.
   PubMed Web of Science ®Google Scholar
• Dinkelman, T., Lam, D., & Leibbrandt, M. (2007). Household and community income, economic shocks and risky sexual behavior of young adults: Evidence from the Cape Area Panel Study 2002 and 2005. AIDS, 21, S49–S56.
   PubMed Web of Science ®Google Scholar
• Duflo, E., Dupas, P., & Kremer, M. (2015). Education, HIV, and early fertility: Experimental evidence from Kenya. American Economic Review, 105, 2757–2797.
   PubMed Web of Science ®Google Scholar
• Durevall, D., & Lindskog, A. (2012). Economic inequality and HIV in Malawi. World Development, 40, 1435–1451.
   Web of Science ®Google Scholar
• Edlund, L., & Korn, E. (2002). A theory of prostitution. Journal of Political Economy, 110, 181–214.
   Web of Science ®Google Scholar
• Fortson, J. (2008). The gradient in sub-Saharan Africa: Socioeconomic status and HIV/AIDS. Demography, 45, 303–322.
   PubMed Web of Science ®Google Scholar
• Fox, A. M. (2012). The HIV–Poverty thesis re-examined: Poverty, wealth or inequality as a social determinant of HIV infection in sub-Saharan Africa? Journal of Biosocial Science, 44: 459–480.
   Google Scholar
• Fox, A. M. (2014). Marital concurrency and HIV risk in 16 African countries. AIDS and Behavior, 18, 791–800.
   PubMed Web of Science ®Google Scholar
• Gersovitz, M., Jacoby, H. G., Seri Dedy, F., & Goze Tape, A. (1998). The balance of self-reported heterosexual activity in KAP surveys and the AIDS epidemic in Africa. Journal of the American Statistical Association, 93, 875–883.
   Web of Science ®Google Scholar
• Gertler, P., Shah, M., & Bertozzi, S. (2005). Risky business: The market for unprotected commercial sex. Journal of Political Economy, 113, 518–550.
   Web of Science ®Google Scholar
• Halperin, D. T., & Epstein, H. (2004). Concurrent sexual partnerships help to explain Africa’s high HIV prevalence: Implications for prevention. Lancet, 364, 4–6.
   PubMed Web of Science ®Google Scholar
• Hargreaves, J. R., & Glynn, J. R. (2002). Educational attainment and HIV‐1 infection in developing countries: A systematic review. Tropical Medicine & International Health, 7, 489–498.
   PubMed Web of Science ®Google Scholar
• Higgins, J. A., Hoffman, S., & Dworkin, S. L. (2010). Rethinking gender, heterosexual men, and women’s vulnerability to HIV/AIDS. American Journal of Public Health, 100, 435–445.
   PubMed Web of Science ®Google Scholar
• Jensen, R., & Oster, E. (2009). The power of TV: Cable television and women’s status in India. Quarterly Journal of Economics, 1057–1094. doi:10.1162/qjec.2009.124.3.1057
   Web of Science ®Google Scholar
• Kohler, H.-P., & Thornton, R. (2012). Conditional cash transfers and HIV/AIDS prevention: Unconditionally promising? World Bank Economic Review, (26, 165–190.
   PubMed Web of Science ®Google Scholar
• La Ferrara, E., Chong, A., & Duryea, S. (2012). Soap operas and fertility: Evidence from Brazil. American Economic Journal: Applied Economics, 4, 1–31.
   Web of Science ®Google Scholar
• Mah, T. L., & Halperin, D. T. (2010). Concurrent sexual partnerships and the HIV epidemics in Africa: Evidence to move forward. AIDS and Behavior, 14, (25–8.
   PubMed Web of Science ®Google Scholar
• Morris, M., & Kretzschmar, M. (1997). Concurrent partnerships and the spread of HIV. AIDS, 11, 641–648.
   PubMed Web of Science ®Google Scholar
• Oster, E. (2005). Sexually transmitted infections, sexual behavior, and the HIV/AIDS epidemic. The Quarterly Journal of Economics, 120(2), 467–515.
   Web of Science ®Google Scholar
• Oster, E. (2012). HIV and sexual behavior change: Why not Africa? Journal of Health Economics, 31, 35–49.
   PubMed Web of Science ®Google Scholar
• Parkhurst, J. (2010). Understanding the correlations between wealth, poverty and human immunodeficiency virus infection in African countries. Bulletin of the World Health Organization, 88, 519–526.
   PubMed Web of Science ®Google Scholar
• Poulin, M., Dovel, K., & Watkins, S. C. (2016). Men with money and the “vulnerable women” client category in an AIDS epidemic. World Development, 85, 16–30.
   Web of Science ®Google Scholar
• Robinson, J., & Yeh, E. (2011). Transactional sex as a response to risk in Western Kenya. American Economic Journal: Applied Economics, 3, 35–64.
   Web of Science ®Google Scholar
• Robinson, J., & Yeh, E. (2012). Risk-coping through sexual networks: Evidence from client transfers in Kenya. Journal of Human Resources, 47, 107–145.
   Web of Science ®Google Scholar
• Rosenzweig, M., & Paul Schultz, T. (1989). Schooling, information and nonmarket produc- tivity: Contraceptive use and its effectiveness. International Economic Review, 30, 457–477.
   Web of Science ®Google Scholar
• Weller, S., & Davis-Beaty, K. (2002). Condom effectiveness in reducing heterosexual HIV transmission. Cochrane Database of Systematic Reviews. doi:10.1002/14651858.CD003255
   Google Scholar
• WHO. (2011). Causes of death summary tables. Geneva, Switzerland: Health Statistics and Informatics Department, World Health Organization.
   Google Scholar
• Wilson, N. (2012). Economic booms and risky sexual behavior: Evidence from Zambian copper mining cities. Journal of Health Economics, 31, 797–812.
   PubMed Web of Science ®Google Scholar
• Wilson, N. (2016). Socioeconomic status and intimate partner violence. Reed College working paper.
   Google Scholar
• World Bank. (2006). World Development Report 2007: Development and the next generation. Washington, DC: World Bank.
   Google Scholar
• Young, A. (2012). The African growth miracle. Journal of Political Economy, 120, 696–739.
   Web of Science ®Google Scholar