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Modelling the Distribution of Multidimensional Poverty Scores: Evidence from Mexico

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Author Info

  • Valérie Berenger

    (University of Nice-Sophia Antipolis)

  • Cuauhtémoc Calderón Villarreal

    (El Colegio de la Frontera Norte)

  • Franck Celestini

    (University of Nice-Sophia Antipolis)

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, 2000 (INEGI). The results obtained enable us to build a typology of poverty. And we derive public policy implications.

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Bibliographic Info

Article provided by El Colegio de México, Centro de Estudios Económicos in its journal Estudios Económicos.

Volume (Year): 24 (2009)
Issue (Month): 1 ()
Pages: 3-34

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Handle: RePEc:emx:esteco:v:24:y:2009:i:1:p:3-34

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Web page: http://www.colmex.mx/centros/cee/
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Keywords: fuzzy sets approach; multidimensional measures of poverty; unsatisfied basic needs;

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