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Overestimating HIV infection:

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  • Philip Anglewicz

    (Tulane University)

  • Hans-Peter Kohler

    (University of Pennsylvania)

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    Abstract

    In the absence of HIV testing, how do rural Malawians assess their HIV status? In this paper, we use a unique dataset that includes respondents’ HIV status as well as their subjective likelihood of HIV infection. These data show that many rural Malawians overestimate their likelihood of current HIV infection. The discrepancy between actual and perceived status raises an important question: Why are so many wrong? We begin by identifying determinants of self-assessed HIV status, and then compare these assessments with HIV biomarker results. Finally, we ask what characteristics of individuals are associated with errors in self-assessments.

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    Bibliographic Info

    Article provided by Max Planck Institute for Demographic Research, Rostock, Germany in its journal Demographic Research.

    Volume (Year): 20 (2009)
    Issue (Month): 6 (February)
    Pages: 65-96

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    Handle: RePEc:dem:demres:v:20:y:2009:i:6

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    Web page: http://www.demogr.mpg.de/

    Related research

    Keywords: accuracy of perceived HIV status; AIDS/HIV; perceived risk; Sub-Saharan Africa;

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    1. FFF1Amy NNN1Kaler, 2003. "My Girlfriends Could Fill A Yanu-Yanu Bus," Demographic Research Special Collections, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 1(11), pages 349-372, September.
    2. Rabin, Matthew, 1997. "Psychology and Economics," Department of Economics, Working Paper Series qt8jd5z5j2, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    3. 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.
    4. Damien de Walque, 2007. "Sero-Discordant Couples in Five African Countries: Implications for Prevention Strategies," Population and Development Review, The Population Council, Inc., vol. 33(3), pages 501-523.
    5. Hans-Peter Kohler, 1997. "Learning in social networks and contraceptive choice," Demography, Springer, vol. 34(3), pages 369-383, August.
    6. FFF1Michael NNN1Bracher & FFF2Gigi NNN2Santow & FFF2Susan NNN2Watkins, 2003. ""Moving" and Marrying," Demographic Research Special Collections, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 1(7), pages 207-246, September.
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