Central Data Catalog

Citation Information

Type Report
Title HIV prevalence estimation in the presence of missing data: A bounding approach
Author(s)
Publication (Day/Month/Year) 2010
Page numbers 0-0
URL ftp://ftp.dondena.unibocconi.it/AlpPop2011/DeCaoArpinoPeracchi.pdf
Abstract
HIV prevalence is relevant for policy makers for planning control pro-grams and interventions. HIV prevalence estimated from population-based surveys is aected by the presence of non ignorable missing data. We use a bounding approach in order to asses the uncertainty in the estimation of the HIV prevalence due to the presence of missing data in the three waves of the Malawi Diusion and Ideational Change Project (MDICP). We propose dynamic bounds which exploit the absorbing nature of HIV to narrow the worst-case bounds without any additional restrictions. We then use instrumental and monotone instrumental variables restrictions to further narrow the bounds.

Related studies

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Arpino, Bruno, Elisabetta De Cao, and Franco Peracchi. HIV prevalence estimation in the presence of missing data: A bounding approach. 2010.
Copyright DataFirst, University of Cape Town