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Roads and the spread of HIV in Africa

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  • DJEMAI, Elodie

Abstract

I here use GIS and HIV data from five African countries to estimate the effect of road proximity on HIV infection. I find a negative effect of the distance to the nearest paved road on the probability of being infected with HIV: a one standard-deviation fall in this distance (approximately 2.4 km) increases the probability of infection by 0.6–2.0 percentage points. Using slope as an instrument for road distance continues to produce a negative and significant estimated coefficient. However this relationship may also reflect selection and reverse causality in individual choice of location, and I extensively discuss the role of migration. While the number of lifetime sexual partners is significantly influenced by the presence of roads in some recent years, the effect of road distance on access to protection has disappeared.

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  • DJEMAI, Elodie, 2018. "Roads and the spread of HIV in Africa," Journal of Health Economics, Elsevier, vol. 60(C), pages 118-141.
    • Handle: RePEc:eee:jhecon:v:60:y:2018:i:c:p:118-141
    DOI: 10.1016/j.jhealeco.2018.05.004
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    2. Bensch, Gunther & Gotz, Gunnar & Peters, Jörg, 2020. "Effects of rural electrification on employment: A comment on Dinkelman (2011)," Ruhr Economic Papers 840, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
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    5. Lucas Adrienne M. & Wilson Nicholas L., 2019. "Does Television Kill Your Sex Life? Microeconometric Evidence from 80 Countries," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(4), pages 1-16, October.

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    More about this item

    Keywords

    HIV/AIDS epidemic; Infrastructure; Geography; Risk-taking; Sub-Saharan Africa;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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