| A Logistic Regression Model to Identify Key Determinants of Poverty Using Demographic and Health Survey Data |
| Authors: |
Thomas N O Achia, Anne Wangombe, Nancy Khadioli, |
| Source: |
European Journal of Social Sciences , Volume 13, Number 1 (2010) |
| Topic(s): |
Poverty
|
| Country: |
Africa
Kenya
|
| Published: |
JUN 2010 |
| Abstract: |
Abstract
This study examines the determinants of poverty in Kenya. While most of the studies done
on poverty determinants rely on the income, expenditure and consumption data, The data
used in this study comes from the Demographic and Health Surveys, (DHS). The principal
component analysis was used to create an asset index which gave the social economic
status of each household. A Logistic regression was estimated based on this data with the
SES (that is poor and non-poor) as the dependent variable and a set of demographic
variables as the explanatory variables. The results presented in this paper suggest that the
DHS data can be used to determine the correlates of poverty.
Keywords: Principal components analysis, Logistic regression |
|