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Identifying Destitution Through Linked Subsets of Multidimensionally Poor: An Ordinal Approach
Author(s) -
Sabina Alkire,
Suman Seth
Publication year - 2015
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.2755165
Subject(s) - ordinal optimization , psychology , ordinal regression , social psychology , statistics , mathematics
In order to understand whether a reduction in overall poverty has improved the situations of the poorest, it is crucial to distinguish them from the moderately poor population. In this paper, we explore the mechanisms to distinguish subsets of the poor in a multidimensional counting framework. We examine two approaches that capture two distinct forms of stringent multidimensional poverty: one uses a more stringent vector of deprivation cutoffs, and the other, a more stringent cross-dimensional poverty cutoff. To explore the distinction between these two approaches empirically, we examine the evolution of multidimensional poverty in Nepal. Our findings show crucial differences between these approaches.

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