Modeling captivity in poverty in Kenya using dogev model

Abstract

This project uses DOGEV model to model captivity in poverty in Kenya with reference to Kenya integrated household budget survey (2005/2006). Education impact differently across welfare categories and there are pockets of poverty in the educated population sub group. Effect of household size is not the same across welfare categories. Province and area of residence was found to be positively associated with poverty. Remittance was found to be highly negatively associated with poverty. It is found out that there is captivity in welfare categories and a significant correlation between welfare orderings, which renders u.s..•age of standard multinomial or ordered Logit less appropriate in the study 'Of poverty.