Assessing Deprivation with Ordinal Variables: Depth Sensitivity and Poverty Aversion
Gaston Yalonetzky Suman Seth
Authors registered in the RePEc Author Service: Suman Seth () and
Gaston Isaias Yalonetzky
No 123, OPHI Working Papers from Queen Elizabeth House, University of Oxford
Abstract:
The challenges associated with poverty measurement within an axiomatic framework, especially with cardinal variables, have received due attention during the last four decades. However, there is a dearth of literature studying how to meaningfully assess poverty with ordinal variables, capturing the depth of deprivations. In this paper, we first propose a class of additively decomposable ordinal poverty measures and provide an axiomatic characterisation using a set of basic foundational properties. Then, in a novel effort, we introduce a set of properties operationalising prioritarianism in the form of different degrees of poverty aversion in the ordinal context, and characterise relevant subclasses. We demonstrate the efficacy of our methods using an empirical illustration studying sanitation deprivation in Bangladesh. We further develop related stochastic dominance conditions for all our characterised classes and subclasses of measures. Finally, we elucidate how our ordinal measurement framework is related to the burgeoning literature on multidimensional poverty measurement.
Date: 2018-09
New Economics Papers: this item is included in nep-hme and nep-ore
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://ophi.org.uk/assessing-deprivation-with-ord ... nd-poverty-aversion/ (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found
Related works:
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:ophiwp123
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 ().