IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01830642.html

Roads and the spread of HIV in Africa

Author

Listed:
  • Elodie Djemaï

    (DIAL - Développement, institutions et analyses de long terme, LEDa - Laboratoire d'Economie de Dauphine - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres, Institut de Recherche pour le Développement (IRD))

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.

Suggested Citation

  • Elodie Djemaï, 2018. "Roads and the spread of HIV in Africa," Post-Print hal-01830642, HAL.
  • Handle: RePEc:hal:journl:hal-01830642
    DOI: 10.1016/j.jhealeco.2018.05.004
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shen, Lucas, 2025. "Illegal immigration and infections: Evidence from two modern pandemics," Economic Modelling, Elsevier, vol. 145(C).
    2. Jedwab, Remi & Khan, Amjad M. & Russ, Jason & Zaveri, Esha D., 2021. "Epidemics, pandemics, and social conflict: Lessons from the past and possible scenarios for COVID-19," World Development, Elsevier, vol. 147(C).
    3. 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.
    4. Tafesse, Wiktoria & Chalkley, Martin, 2021. "Faith-based provision of sexual and reproductive healthcare in Malawi," Social Science & Medicine, Elsevier, vol. 282(C).
    5. repec:osf:metaar:zhn9b_v1 is not listed on IDEAS
    6. 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.
    7. Caterina Gennaioli & Gaia Narciso, 2025. "Toxic Roads," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 88(6), pages 1773-1803, June.
    8. Remi Jedwab & Amjad M. Khan & Richard Damania & Jason Russ & Esha D. Zaveri, 2020. "Pandemics, Poverty, and Social Cohesion: Lessons from the Past and Possible Solutions for COVID-19," Working Papers 2020-13, The George Washington University, Institute for International Economic Policy.

    More about this item

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-01830642. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.