Fuzzy Poverty Measurement: Multidimensional and Unidimensional Indicators

From Unidimensional to Multidimensional Inequality, Welfare and Poverty Measurement

In this handout we review results concerning representation of partial orders via stochastic orders and investigate their applications to some classes of stochastic dominance conditions applied in inequality, poverty and welfare measurement. The results obtained in an unidimensional framework are extended to multidimensional analysis. In particular we provide an overview of the main issues conc...

Fuzzy Set Approach to Multidimensional Poverty Measurement

Evaluating Poverty Indicators among Government-Supported Households: A Multidimensional Approach

Introduction: Poverty is an undesirable socio-economic phenomenon that endangers the political stability, social solidarity, and mental health of the different sections of society. The literature on poverty in recent years has not been limited to income poverty, but also to other aspects such as health, education, and living standards. By identifying patterns of poverty, instead of prejudging t...

Fuzzy Multidimensional Poverty Index

Multidimensional Poverty Index (MPI) is a novel measure of poverty that is being used by United Nations Development Programme. The MPI is the answer to the call for a multidimensional view of poverty (Sen and Anand, 1997). It evaluates poverty at the individual level, with poor people being those who are deprived in multiple dimensions of well-being, and also the extent of poverty by assessing ...

An Axiomatic Approach to Multidimensional Poverty Measurement via Fuzzy Sets

Multidimensional poverty concentrates on deprivations in the living standard of a population in terms of functioning failures of different quality of life attributes such as per capita real GDP, life expectancy at birth and educational attainment. More precisely, a threshold level is specified for each attribute and shortfalls of quantities of different attributes from respective thresholds for...