Measuring poverty in multidimensional contexts
Permanyer, Iñaki (Centre d'Estudis Demogràfics)

Date:	2019
Abstract:	When measuring multidimensional poverty it is reasonable to expect that the trade-offs between variable pairs can differ depending on whether the concerned pairs are complements or substitutes. Yet, currently existing approaches based on deprivation count distributions unrealistically assume that all pairs of variables are related in the same way-an unfortunate circumstance that undermines the possibilities of identifying the poor, aggregating their poverty levels and modeling non-trivial interactions between variables in highly flexible ways. This paper, which aims at modeling non-trivial relational structures across variables both in the identification and aggregation steps, is a first contribution towards addressing these inadequacies. The approach has been axiomatically characterized to flesh out the normative foundations upon which it is based and has a vast potential for application.
Grants:	European Commission 637768 Ministerio de Economía y Competitividad RYC-2013-14196
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Language:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Subject:	Poverty ; Modeling ; Mathematical methods
Published in:	Social choice and welfare, Vol. 53 Núm. 4 (2019) , p. 677-708, ISSN 0176-1714

Adreça alternativa: https://link.springer.com/article/10.1007/s00355-019-01207-4
DOI: 10.1007/s00355-019-01207-4

Postprint 48 p, 431.5 KB

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Research literature > UAB research groups literature > Research Centres and Groups (research output) > Social and Legal Sciences > Centre for Demographic Studies (CED-CERCA)
Articles > Research articles
Articles > Published articles