Philip Anglewicz (University of Pennsylvania) Hans-Peter Kohler (University of Pennsylvania)
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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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 Download reference. The following formats are available: HTML
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Find related papers by JEL classification: J1 - Labor and Demographic Economics - - Demographic Economics Z0 - Other Special Topics - - General
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