Multidimensional Poverty Measurement with Individual Preferences

Multidimensional poverty measurement with individual preferences∗

We propose a new class of multidimensional poverty indices. Aggregation of the different dimensions relies on individual preferences. The Pareto principle is, therefore, satisfied among the poor. The indices add up individual measures of poverty that are computed as a convex transform of the fraction of the poverty line vector to which the agent is indifferent. The axiomatic characterization of...

Counting and Multidimensional Poverty Measurement

This paper proposes a new methodology for multidimensional poverty measurement consisting of an identification method ρk that extends the traditional intersection and union approaches, and a class of poverty measures Mα. Our identification step employs two forms of cutoff: one within each dimension to determine whether a person is deprived in that dimension, and a second across dimensions that ...

The measurement of multidimensional poverty

Many authors have insisted on the necessity of defining poverty as a multidimensional concept rather than relying on income or consumption expenditures per capita. Yet, not much has actually been done to include the various dimensions of deprivation into the practical definition and measurement of poverty. Existing attempts along that direction consist of aggregating various attributes into a s...

Understandings and Misunderstandings of Multidimensional Poverty Measurement

Multidimensional measures provide an alternative lens through which poverty may be viewed and understood. In recent work we have attempted to offer a practical approach to identifying the poor and measuring aggregate poverty (Alkire and Foster 2011). As this is quite a departure from traditional unidimensional and multidimensional poverty measurement – particularly with respect to the identific...

Fuzzy Set Approach to Multidimensional Poverty Measurement