Determinants of poverty in Kenya: A household level analysis

Alemayehu Geda; Niek de Jong; Germano Mwabu; Mwangi S.  Kimenyi

Determinants of poverty in Kenya: A household level analysis

Alemayehu Geda
, Niek de Jong
, Germano Mwabu
, Mwangi S. Kimenyi

International Institute of Social Studies (ISS)
University of Nairobi

Research output: Working paper › Academic

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Abstract

Strategies aimed at poverty reduction need to identify factors that are strongly
associated with poverty and amenable to modification by policy. This paper 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. In general, those factors that are closely associated
with overall poverty according to the binomial model are also important in the orderedlogit model, but they appear to be even more important in tackling extreme poverty.

Original language	English
Place of Publication	Den Haag
Publisher	International Institute of Social Studies (ISS)
Number of pages	25
Publication status	Published - Aug 2001
Externally published	Yes

Publication series

Series	ISS working papers. General series
Number	347
ISSN	0921-0210

Bibliographical note

JEL Classification: I320

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 1 No Poverty

Series

ISS Working Paper-General Series

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Cite this

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abstract = "Strategies aimed at poverty reduction need to identify factors that are strongly associated with poverty and amenable to modification by policy. This paper 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. In general, those factors that are closely associated with overall poverty according to the binomial model are also important in the orderedlogit model, but they appear to be even more important in tackling extreme poverty.",

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AB - Strategies aimed at poverty reduction need to identify factors that are strongly associated with poverty and amenable to modification by policy. This paper 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. In general, those factors that are closely associated with overall poverty according to the binomial model are also important in the orderedlogit model, but they appear to be even more important in tackling extreme poverty.

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Determinants of poverty in Kenya: A household level analysis

Abstract

Publication series

Bibliographical note

UN SDGs

Series

Access to Document

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Cite this