PMMA-11330 Multidimensional Poverty Comparisons in Kenya: Analysis of Maternal and Child Well-being
This paper generates multidimensional poverty profiles for women and children over a ten year period-1993 to 2003. Demographic and Health Survey data are utilized to advance the measurement of poverty in Kenya in four ways: First the paper constructs a composite poverty index (CPI). Second, it applies the Alkire and Foster (2007) approach to the measurement of multidimensional poverty based on the CPI and health status. Third, stochastic dominance approaches are used to make poverty orderings across groups. Fourth, the bi-variate Probit model is applied to explore the correlates of multidimensional poverty. The results show that: the distribution of poor women and children differ across groups, space and time; and the CPI and rural areas contributed more than health and urban areas respectively to multi-dimensional poverty. Results further suggest that understanding the correlates of wellbeing in a multidimensional context can generate policy insights for improving human capital investments.