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Routes of Infection: Exports and HIV Incidence in Sub-Saharan Africa

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  • Emily Oster

Abstract

I generate new data on HIV incidence and prevalence in Africa based on inference from mortality rates. I use these data to relate economic activity (specifically, exports) to new HIV infections in Africa and argue there is a significant and large positive relationship between the two: a doubling of exports leads to as much as a quadrupling in new HIV infections. This relationship is consistent with a model of the epidemic in which truckers and other migrants have higher rates of risky behavior, and their numbers increase in periods with greater exports. I present evidence suggesting that the relationship between exports and HIV is causal and works, at least in part, through increased transit. The result has important policy implications, suggesting (for example) that there is significant value in prevention focused on these transit oriented groups. I apply this result to study the case of Uganda, and argue that a decline in exports in the early 1990s in that country appears to explain between 30% and 60% of the decline in HIV infections. This suggests that the success of the Ugandan anti-HIV education campaign, which encouraged changes in sexual behavior, has been overstated.

Suggested Citation

  • Emily Oster, 2007. "Routes of Infection: Exports and HIV Incidence in Sub-Saharan Africa," NBER Working Papers 13610, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:13610
    Note: EH LS
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    References listed on IDEAS

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    1. 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.
    2. Oster, Emily, 2012. "HIV and sexual behavior change: Why not Africa?," Journal of Health Economics, Elsevier, vol. 31(1), pages 35-49.
    3. Ian Timæus & Momodou Jasseh, 2004. "Adult mortality in sub-Saharan Africa: Evidence from demographic and health surveys," Demography, Springer;Population Association of America (PAA), vol. 41(4), pages 757-772, November.
    4. Emmanuela Gakidou & Gary King, 2006. "Death by survey: Estimating adult mortality without selection bias from sibling survival data," Demography, Springer;Population Association of America (PAA), vol. 43(3), pages 569-585, August.
    5. Murphy, Kevin M & Welch, Finis, 1990. "Empirical Age-Earnings Profiles," Journal of Labor Economics, University of Chicago Press, vol. 8(2), pages 202-229, April.
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    More about this item

    JEL classification:

    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J1 - Labor and Demographic Economics - - Demographic Economics
    • O24 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Trade Policy; Factor Movement; Foreign Exchange Policy

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