Overestimating HIV infection:
AbstractIn the absence of HIV testing, how do rural Malawians assess their HIV status? In this paper, we use a unique dataset that includes respondentsâ€™ 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 InfoArticle provided by Max Planck Institute for Demographic Research, Rostock, Germany in its journal Demographic Research.
Volume (Year): 20 (2009)
Issue (Month): 6 (February)
Contact details of provider:
Web page: http://www.demogr.mpg.de/
accuracy of perceived HIV status; AIDS/HIV; perceived risk; Sub-Saharan Africa;
Find related papers by JEL classification:
- J1 - Labor and Demographic Economics - - Demographic Economics
- Z0 - Other Special Topics - - General
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