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HIV/AIDS and sexual behaviour in Botswana

Author

Listed:
  • David Mmopelwa
  • Oliver Morrissey
  • Trudy Owens

Abstract

Using three waves of the Botswana AIDS Impact Survey (BAIS) collected by Statistics Botswana, we investigate how sexual behaviour, measured by number of partners and condom use, responds to objective and perceived risk; objective risk is captured by the HIV prevalence rate and perceived risk is represented by concern about the likelihood of being infected by HIV. Indicators of knowledge about HIV, which may affect behaviour and risk perceptions, are included. Endogeneity is addressed through instrumental variables, with HIV prevalence rate instrumented by the distance from respondent`s area of residence to the district with the highest rate, while perceived risk is instrumented by duration (in months) between antiretroviral therapy (ART) rollout and the survey date. The HIV prevalence rate has no significant effect on the number of sexual partners or use of condoms but behaviour responds to changes in perceived risk: those who report becoming more concerned about infection or those who perceive their partners to be unfaithful are more likely to report condom use whereas those who report becoming less concerned are less likely to abstain and use a condom. The effectiveness of advice on health behaviour may be undermined by moral hazard.

Suggested Citation

  • David Mmopelwa & Oliver Morrissey & Trudy Owens, 2021. "HIV/AIDS and sexual behaviour in Botswana," Discussion Papers 2021-03, University of Nottingham, CREDIT.
  • Handle: RePEc:not:notcre:21/03
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    File URL: https://www.nottingham.ac.uk/credit/documents/papers/2021/21-03.pdf
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    References listed on IDEAS

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    1. Arthur Lewbel & Yingying Dong & Thomas Tao Yang, 2012. "Comparing features of convenient estimators for binary choice models with endogenous regressors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 45(3), pages 809-829, August.
    2. Christopher Baum & Yingying Dong & Arthur Lewbel & Tao Yang, 2012. "Binary choice models with endogenous regressors," SAN12 Stata Conference 9, Stata Users Group.
    3. Áureo De Paula & Gil Shapira & Petra E. Todd, 2014. "How Beliefs About Hiv Status Affect Risky Behaviors: Evidence From Malawi," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(6), pages 944-964, September.
    4. Adrienne M. Lucas & Nicholas L. Wilson, 2019. "Schooling, Wealth, Risky Sexual Behaviour, and HIV/AIDS in Sub-Saharan Africa," Journal of Development Studies, Taylor & Francis Journals, vol. 55(10), pages 2177-2192, October.
    5. Oster, Emily, 2012. "HIV and sexual behavior change: Why not Africa?," Journal of Health Economics, Elsevier, vol. 31(1), pages 35-49.
    6. Marlène Guillon & Josselin Thuilliez, 2015. "HIV and Rational risky behaviors: a systematic review of published empirical literature (1990-2013)," Post-Print halshs-01222571, HAL.
    7. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    8. Geoffard, Pierre-Yves & Philipson, Tomas, 1996. "Rational Epidemics and Their Public Control," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 37(3), pages 603-624, August.
    9. Aureo de Paula & Gil Shapira & Petra E. Todd, 2008. "How Beliefs about HIV Status Affect Risky Behaviors: Evidence from Malawi, Fifth Version," PIER Working Paper Archive 10-023, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 10 Jul 2010.
    10. 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.
    11. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    12. Michael, Robert T., 2004. "Sexual capital: an extension of Grossman's concept of health capital," Journal of Health Economics, Elsevier, vol. 23(4), pages 643-652, July.
    13. Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
    14. Susan Godlonton & Rebecca L. Thornton, 2013. "Learning from Others' HIV Testing: Updating Beliefs and Responding to Risk," American Economic Review, American Economic Association, vol. 103(3), pages 439-444, May.
    15. repec:hal:wpaper:halshs-01222571 is not listed on IDEAS
    16. Pascaline Dupas, 2011. "Do Teenagers Respond to HIV Risk Information? Evidence from a Field Experiment in Kenya," American Economic Journal: Applied Economics, American Economic Association, vol. 3(1), pages 1-34, January.
    17. Jane Fortson, 2008. "The gradient in sub-saharan Africa: Socioeconomic status and HIV/AIDS," Demography, Springer;Population Association of America (PAA), vol. 45(2), pages 303-322, May.
    18. Friedman, Willa Helterline, 2018. "Antiretroviral drug access and behavior change," Journal of Development Economics, Elsevier, vol. 135(C), pages 392-411.
    19. Arthur Lewbel & Yingying Dong & Thomas Tao Yang, 2012. "Viewpoint: Comparing features of convenient estimators for binary choice models with endogenous regressors," Canadian Journal of Economics, Canadian Economics Association, vol. 45(3), pages 809-829, August.
    20. Lucia Corno & Áureo de Paula, 2019. "Risky Sexual Behaviours: Biological Markers and Self‐reported Data," Economica, London School of Economics and Political Science, vol. 86(342), pages 229-261, April.
    21. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    22. Susan Godlonton & Alister Munthali & Rebecca Thornton, 2016. "Responding to Risk: Circumcision, Information, and HIV Prevention," The Review of Economics and Statistics, MIT Press, vol. 98(2), pages 333-349, May.
    23. Jorge M. Agüero & Prashant Bharadwaj, 2014. "Do the More Educated Know More about Health? Evidence from Schooling and HIV Knowledge in Zimbabwe," Economic Development and Cultural Change, University of Chicago Press, vol. 62(3), pages 489-517.
    24. Baird, Sarah & Gong, Erick & McIntosh, Craig & Özler, Berk, 2014. "The heterogeneous effects of HIV testing," Journal of Health Economics, Elsevier, vol. 37(C), pages 98-112.
    25. Adeline Delavande & Hans-Peter Kohler, 2012. "The Impact of HIV Testing on Subjective Expectations and Risky Behavior in Malawi," Demography, Springer;Population Association of America (PAA), vol. 49(3), pages 1011-1036, August.
    26. Michael Kremer, 1996. "Integrating Behavioral Choice into Epidemiological Models of the AIDS Epidemic," NBER Working Papers 5428, National Bureau of Economic Research, Inc.
    27. Olivier Sterck, 2014. "HIV/AIDS and Fatalism: Should Prevention Campaigns Disclose the Transmission Rate of HIV?," Journal of African Economies, Centre for the Study of African Economies, vol. 23(1), pages 53-104.
    28. Rebecca L. Thornton, 2008. "The Demand for, and Impact of, Learning HIV Status," American Economic Review, American Economic Association, vol. 98(5), pages 1829-1863, December.
    29. Erick Gong, 2015. "HIV Testing and Risky Sexual Behaviour," Economic Journal, Royal Economic Society, vol. 125(582), pages 32-60, February.
    30. Damien de Walque, 2009. "Does Education Affect HIV Status? Evidence from five African Countries," The World Bank Economic Review, World Bank, vol. 23(2), pages 209-233, June.
    31. Francis, Andrew M., 2008. "The economics of sexuality: The effect of HIV/AIDS on homosexual behavior in the United States," Journal of Health Economics, Elsevier, vol. 27(3), pages 675-689, May.
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    Keywords

    HIV/AIDS; Health Risks; Sexual Behaviour; Botswana;
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