Distribution-Sensitive Multidimensional Poverty Measures

Distribution-Sensitive Multidimensional Poverty Measures

This paper presents axiomatic arguments to make the case for distribution-sensitive multidimensional poverty measures. The commonly-used counting measures violate the strong transfer axiom which requires regressive transfers to be unambiguously pov...

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Main Author: Datt, Gaurav
Format: Working Paper
Language:English
Published: World Bank, Washington, DC 2018
Subjects:
POVERTY MEASUREMENT
TRANSFER AXIOM
CROSS-DIMENSIONAL CONVEXITY
SHAPLEY DECOMPOSITION
INCOME DISTRIBUTION
MULTIDIMENSIONAL POVERTY
Online Access:http://documents.worldbank.org/curated/en/156261519136911696/Distribution-sensitive-multidimensional-poverty-measures
http://hdl.handle.net/10986/29406
id okr-10986-29406
recordtype oai_dc
spelling okr-10986-294062021-06-08T14:42:48Z Distribution-Sensitive Multidimensional Poverty Measures Datt, Gaurav POVERTY MEASUREMENT TRANSFER AXIOM CROSS-DIMENSIONAL CONVEXITY SHAPLEY DECOMPOSITION INCOME DISTRIBUTION MULTIDIMENSIONAL POVERTY This paper presents axiomatic arguments to make the case for distribution-sensitive multidimensional poverty measures. The commonly-used counting measures violate the strong transfer axiom which requires regressive transfers to be unambiguously poverty-increasing and they are also invariant to changes in the distribution of a given set of deprivations amongst the poor. The paper appeals to strong transfer as well as an additional cross-dimensional convexity property to offer axiomatic justification for distribution-sensitive multidimensional poverty measures. Given the nonlinear structure of these measures, it is al also shown how the problem of an exact dimensional decomposition can be solved using Shapley decomposition methods to assess dimensional contributions to poverty. An empirical illustration for India highlights distinctive features of the distribution-sensitive measures. 2018-02-28T22:30:22Z 2018-02-28T22:30:22Z 2018-02 Working Paper http://documents.worldbank.org/curated/en/156261519136911696/Distribution-sensitive-multidimensional-poverty-measures http://hdl.handle.net/10986/29406 English Policy Research Working Paper;No. 8346 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
topic POVERTY MEASUREMENT
TRANSFER AXIOM
CROSS-DIMENSIONAL CONVEXITY
SHAPLEY DECOMPOSITION
INCOME DISTRIBUTION
MULTIDIMENSIONAL POVERTY
spellingShingle POVERTY MEASUREMENT
TRANSFER AXIOM
CROSS-DIMENSIONAL CONVEXITY
SHAPLEY DECOMPOSITION
INCOME DISTRIBUTION
MULTIDIMENSIONAL POVERTY
Datt, Gaurav
Distribution-Sensitive Multidimensional Poverty Measures
relation Policy Research Working Paper;No. 8346
description This paper presents axiomatic arguments to make the case for distribution-sensitive multidimensional poverty measures. The commonly-used counting measures violate the strong transfer axiom which requires regressive transfers to be unambiguously poverty-increasing and they are also invariant to changes in the distribution of a given set of deprivations amongst the poor. The paper appeals to strong transfer as well as an additional cross-dimensional convexity property to offer axiomatic justification for distribution-sensitive multidimensional poverty measures. Given the nonlinear structure of these measures, it is al also shown how the problem of an exact dimensional decomposition can be solved using Shapley decomposition methods to assess dimensional contributions to poverty. An empirical illustration for India highlights distinctive features of the distribution-sensitive measures.
format Working Paper
author Datt, Gaurav
author_facet Datt, Gaurav
author_sort Datt, Gaurav
title Distribution-Sensitive Multidimensional Poverty Measures
title_short Distribution-Sensitive Multidimensional Poverty Measures
title_full Distribution-Sensitive Multidimensional Poverty Measures
title_fullStr Distribution-Sensitive Multidimensional Poverty Measures
title_full_unstemmed Distribution-Sensitive Multidimensional Poverty Measures
title_sort distribution-sensitive multidimensional poverty measures
publisher World Bank, Washington, DC
publishDate 2018
url http://documents.worldbank.org/curated/en/156261519136911696/Distribution-sensitive-multidimensional-poverty-measures
http://hdl.handle.net/10986/29406
_version_ 1764469267438239744

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