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 poverty increasing, and they are also invariant to cha...

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Main Author:	Datt, Gaurav
Format:	Journal Article
Published:	Published by Oxford University Press on behalf of the World Bank 2021
Subjects:	POVERTY MEASUREMENT TRANSFER AXIOM CROSS-DIMENSIONAL CONVEXITY SHAPLEY DECOMPOSITION INCOME DISTRIBUTION MULTIDIMENSIONAL POVERTY
Online Access:	http://hdl.handle.net/10986/35396

id	okr-10986-35396
recordtype	oai_dc
spelling	okr-10986-353962021-04-23T14:02:21Z 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 among 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 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. 2021-04-07T20:15:25Z 2021-04-07T20:15:25Z 2019-10 Journal Article World Bank Economic Review 1564-698X http://hdl.handle.net/10986/35396 CC BY-NC-ND 3.0 IGO http://creativecommons.org/licenses/by-nc-nd/3.0/igo World Bank Published by Oxford University Press on behalf of the World Bank Publications & Research :: Journal Article Publications & Research South Asia India
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
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
geographic_facet	South Asia India
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 among 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 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	Journal Article
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	Published by Oxford University Press on behalf of the World Bank
publishDate	2021
url	http://hdl.handle.net/10986/35396
_version_	1764482945708457984

Distribution-Sensitive Multidimensional Poverty Measures

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