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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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File URL: http://revistas.colmex.mx/revistas/12_p/art_12_1215_9258.pdf
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Publisher 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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Related research
Keywords: fuzzy sets approach; multidimensional measures of poverty; unsatisfied basic needs;

Find related papers by JEL classification:
D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
I32 - Health, Education, and Welfare - - Welfare and Poverty - - - Measurement and Analysis of Poverty

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This page was last updated on 2009-12-3.


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