Determinants of Poverty in Kenya: A Household Level Analysis
AbstractStrategies aimed at poverty reduction need to identify factors that are strongly associated with poverty and that are amenable to modification by policy. This article uses household level data collected in 1994 to examine probable determinants of poverty status, employing both binomial and polychotomous logit models. The study shows that poverty status is strongly associated with the level of education, household size and engagement in agricultural activity, both in rural and urban areas. In general, those factors that are closely associated with overall poverty according to the binomial model are also important in the ordered-logit model, but they appear to be even more important in tackling extreme poverty.
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Bibliographic InfoPaper provided by University of Connecticut, Department of Economics in its series Working papers with number 2005-44.
Length: 27 pages
Date of creation: Jan 2005
Date of revision:
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Poverty; Kenya; Africa; Probability Models;
Find related papers by JEL classification:
- I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
- I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
- N97 - Economic History - - Regional and Urban History - - - Africa; Oceania
This paper has been announced in the following NEP Reports:
- NEP-AFR-2005-11-05 (Africa)
- NEP-ALL-2005-11-05 (All new papers)
- NEP-DCM-2005-11-05 (Discrete Choice Models)
- NEP-DEV-2005-11-05 (Development)
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