Use of logistic regression model to identify the key determinants of poverty in kenya on the basis of DHS Data
Abstract
This study examines the determinants of poverty in Kenya. While most of the studies done on poverty determinants rely on the income, expenditure and consumption data, The data used in this study comes from
the Demographic and Health Surveys,( DHS). While the DHS lack information on income or consumption
expenditure, the asset index is a simpler way to circumvent the absence of the more widely used money-metric
of welfare in the DHS, Sahn and Stifel(2003). The principal component analysis was used to create an asset
index which gave the social economic status of each household. A Logistic regression was estimated based
on this data with the SES (that is poor and non-poor) as the dependent variable and a set of demographic
variables as the explanatory variables. The results presented in this paper suggest that the DHS data can
be used to determine the correlates of poverty.
Citation
Master of Science (Social Statistics)Publisher
University of Nairobi School of Mathematics