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How Beliefs About HIV Status affect Risky Behaviors: Evidence From Malawi, Second Version

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  • Aureo de Paula

    ()
    (Department of Economics, University of Pennsylvania)

  • Gil Shapira

    ()
    (Department of Economics, University of Pennsylvania)

  • Petra E. Todd

    ()
    (Department of Economics, University of Pennsylvania)

Abstract

This paper examines how beliefs about own HIV status affect sexual behavior. Risky behavior is measured as the propensity to engage in extramarital affairs or not use condoms. The empirical analysis is based on 2004 and 2006 data from the Malawi Diffusion and Ideational Change Project. Controlling for endogeneity between beliefs and risk-taking, we find that downward revisions in the belief of being HIV positive lead to a lower propensity to engage in extramarital affairs but have no effect on condom use. We show that the estimates provide a lower bound when there is measurement error in reported extra-marital affairs.

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Bibliographic Info

Paper provided by Penn Institute for Economic Research, Department of Economics, University of Pennsylvania in its series PIER Working Paper Archive with number 08-041.

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Length: 52 pages
Date of creation: 03 Oct 2008
Date of revision: 02 Dec 2008
Handle: RePEc:pen:papers:08-041

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Keywords: Beliefs; AIDS; Malawi;

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References

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  1. David Canning, 2006. "The Economics of HIV/AIDS in Low-Income Countries: The Case for Prevention," PGDA Working Papers 1806, Program on the Global Demography of Aging.
  2. Michael A. Boozer & Tomas J. Philipson, 2000. "The Impact of Public Testing for Human Immunodeficiency Virus," Journal of Human Resources, University of Wisconsin Press, vol. 35(3), pages 419-446.
  3. Nicholas Wilson, 2010. "Antiretroviral Therapy and Demand for HIV Testing: Evidence from Zambia," Department of Economics Working Papers 2010-23, Department of Economics, Williams College.
  4. FFF1Georges NNN1Reniers, 2003. "Divorce and Remarriage in Rural Malawi," Demographic Research Special Collections, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 1(6), pages 175-206, September.
  5. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
  6. Mechoulan Stéphane, 2004. "HIV Testing: a Trojan Horse?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 4(1), pages 1-26, August.
  7. Philipson, Tomas J & Posner, Richard A, 1995. "A Theoretical and Empirical Investigation of the Effects of Public Health Subsidies for STD Testing," The Quarterly Journal of Economics, MIT Press, vol. 110(2), pages 445-74, May.
  8. Rebecca L. Thornton, 2008. "The Demand for, and Impact of, Learning HIV Status," American Economic Review, American Economic Association, vol. 98(5), pages 1829-63, December.
  9. Kremer, Michael, 1996. "Integrating Behavioral Choice into Epidemiological Models of AIDS," The Quarterly Journal of Economics, MIT Press, vol. 111(2), pages 549-73, May.
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Cited by:
  1. Delavande, Adeline & Giné, Xavier & McKenzie, David, 2011. "Measuring subjective expectations in developing countries: A critical review and new evidence," Journal of Development Economics, Elsevier, vol. 94(2), pages 151-163, March.

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