A methodology for indirectly estimating the impact of HIV/AIDS on household structure and characteristics in Sub-Saharan Africa

Proud Dzambukira, Harvard University
Paulsen Mrina, Harvard University
Michael Levin, Harvard University

This study presents a method of indirectly estimating the impact of HIV/AIDS in Sub-Saharan Africa through a longitudinal analysis of household structure and characteristics. We use census micro data from selected sub-Saharan African countries to examine household and family structure, focusing on households headed by single parents or a child below 18 (with evidence of an AIDS related death to the parent(s)), households with missing generations, etc. We use micro-level data to investigate changes in the counts and characteristics of these households by identifying changing economic activities of the primary breadwinner, school enrollment of 5 to14 year olds, and measures of economic wellbeing. Using the fact that the HIV/AIDS pandemic is the single most important determinant of change, regression and other statistical analysis provide insights into a better understanding of the changing relationships among demographic, social, and economic variables.

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Presented in Poster Session 3