Identifying Destitution through Linked Subsets of Multidimensionally Poor: An Ordinal Approach
Suman Seth Sabina Alkire
Authors registered in the RePEc Author Service: Suman Seth () and
Sabina Alkire
No 99, OPHI Working Papers from Queen Elizabeth House, University of Oxford
Abstract:
A reduction in overall poverty may not necessarily improve the situations of the poorest. In order to pay particular attention to the poorest, it is crucial to distinguish them from the moderately poor population. In income poverty measurement, this distinction is made by defining a more stringent poverty cutoff. In this paper, we explore such mechanisms to distinguish subsets of the poor in a multidimensional counting framework, under the practical assumption that many variables for assessing deprivations are ordinal. 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 two approaches.
Date: 2016-01
References: Add references at CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
https://ophi.org.uk/identifying-destitution-throug ... an-ordinal-approach/ (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found
Related works:
Working Paper: Identifying destitution through linked subsets of multidimensionally poor: An ordinal approach (2015) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:qeh:ophiwp:ophiwp099
Access Statistics for this paper
More papers in OPHI Working Papers from Queen Elizabeth House, University of Oxford Queen Elizabeth House 3 Mansfield Road, Oxford, OX1 3TB United Kingdom. Contact information at EDIRC.
Bibliographic data for series maintained by IT Support ().