Modeling Multidimensional Indicators of Poverty in Africa
Abstract
Poverty is a condition in which a person or community is lacking the basic needs
required for a minimum standard of well-being. Poverty can be measured using eco-
nomic, social and environmental indicators. Past research on measuring poverty has
been done using an income approach. The income approach considers only one dimen-
sion of poverty and fails to consider other dimensions such as social and environmental
dimensions. The aim of this study is to develop a concept of measuring poverty using
a multidimensional approach.We used data from the Ethiopia Demographic Health
Survey. Multi-Correspondence Analysis and Non Linear Principal Component Anal-
ysis were used to extract and weight indicators of poverty.The weighted indicators
were then used to construct a Poverty index.This index can assist policy makers in
quantifying poverty.
Publisher
University of Nairobi
Subject
Modeling MultidimensionalRights
Attribution-NonCommercial-NoDerivs 3.0 United StatesUsage Rights
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