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Determinants of Poverty in Kenya: A Household Level Analysis
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This paper used household level data collected in 1994 to examine probable determinants of poverty status, employing both binomial and polychotomous logit models, and found that poverty status is strongly associated with the level of education, household size and engagement in agricultural activity, both in rural and urban areas.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.read more
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References
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Book
Limited-Dependent and Qualitative Variables in Econometrics
TL;DR: In this article, the authors present a survey of the use of truncated distributions in the context of unions and wages, and some results on truncated distribution Bibliography Index and references therein.
Qualitative response models: a survey
TL;DR: The most important developments in econometrics in the past ten years have occurred in the area of qualitative response (QR) models as discussed by the authors, and there are two factors which explain the recent upsurge of QR models in economic applications: 1) Economists deal with many variables, thus necessitating the need to formulate more complex models involving more than one discrete variable and more than two responses, as well as using more independent variables.
Posted Content
Qualitative Response Models: A Survey
TL;DR: The most important developments in econometrics in the past ten years have occurred in the area of qualitative response (QR) models as discussed by the authors, and there are two factors which explain the recent upsurge of QR models in economic applications: 1) Economists deal with many variables, thus necessitating the need to formulate more complex models involving more than one discrete variable and more than two responses, as well as using more independent variables.
BookDOI
Econometrics and data analysis for developing countries
TL;DR: This chapter discusses Regression and Data Analysis, modelling Simultaneous Systems, and working with data: Cross Section and Time Series Analysis.