Determinants of Poverty in Kenya: A Household Level Analysis

Alemayehu Geda (), Niek de Jong, Mwangi Kimenyi and Germano Mwabu
Additional contact information
Niek de Jong: Institute of Social Studies, The Hague
Germano Mwabu: University of Nairobi and Yale University

No 2005-44, Working papers from University of Connecticut, Department of Economics

Abstract: Strategies 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.

Keywords: Poverty; Kenya; Africa; Probability Models (search for similar items in EconPapers)
JEL-codes: I30 I32 N97 (search for similar items in EconPapers)
Pages: 27 pages
Date: 2005-01
New Economics Papers: this item is included in nep-afr, nep-dcm and nep-dev
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (52)

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Related works:
Working Paper: Determinants of poverty in Kenya: a household level analysis (2001)
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Persistent link: https://EconPapers.repec.org/RePEc:uct:uconnp:2005-44

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