Modelling the Distribution of Multidimensional Poverty: Evidence from Mexico

Valérie Berenger, Cuauhtémoc Calderon () and Franck Celestini ()
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Valérie Berenger: CEMAFI - Centre d'Etudes en Macroéconomie et Finance Internationale - UNS - Université Nice Sophia Antipolis (1965 - 2019)
Franck Celestini: LPMC - Laboratoire de physique de la matière condensée - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique

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Abstract: The main purpose of this paper is to explore a new methodology already developed by Berenger and Celestini (2006). This theoretical method based on fuzzy sets approach makes it possible to define a multidimensional poverty score lying, as for income, between 0 and infinity in order to characterize the organization of poverty. this method is applied using the data from the XII Census of Mexico (INEGI) 2000. The results obtained enable us to build a typology of poverty. And we derive public policy implications.

Keywords: Fuzzy Sets Approach; Income distribution functions; Multidimensional measures of poverty.; Multidimensional measures of poverty (search for similar items in EconPapers)
Date: 2009-01
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Published in Estudios Economicos, 2009, vol.24 (1), pp.3-34

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-00727198

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