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dc.contributor.authorAlemayehu, Geda
dc.contributor.authorde Jong, Niek
dc.contributor.authorMwangi, Samson Kimenyi
dc.contributor.authorMwabu, Germano
dc.date.accessioned2013-05-16T14:29:44Z
dc.date.available2013-05-16T14:29:44Z
dc.date.issued2005-01
dc.identifier.citationWorking papersen
dc.identifier.urihttp://econpapers.repec.org/scripts/search/search.asp?ss=1&adv=t&sslg=AND&ni=&nit=epdate&mh=100&sort=rank
dc.identifier.urihttp://hdl.handle.net/11295/23668
dc.description.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.en
dc.language.isoenen
dc.relation.ispartofseries;No 2005-44
dc.titleDeterminants of poverty in Kenya: a household level analysisen
dc.typeWorking Paperen
local.publisherSchool of Economics, University of Nairobien


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