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Modelling the Distribution of Multidimensional Poverty: Evidence from Mexico

Author

Listed:
  • Valérie Berenger

    (CEMAFI - Centre d'Etudes en Macroéconomie et Finance Internationale - UNS - Université Nice Sophia Antipolis (1965 - 2019))

  • Cuauhtémoc Calderon
  • Franck Celestini

    (LPMC - Laboratoire de physique de la matière condensée - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique)

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.

Suggested Citation

  • Valérie Berenger & Cuauhtémoc Calderon & Franck Celestini, 2009. "Modelling the Distribution of Multidimensional Poverty: Evidence from Mexico," Post-Print halshs-00727198, HAL.
    • Handle: RePEc:hal:journl:halshs-00727198
    as

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