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Modelling the Distribution of Multidimensional Poverty Scores: Evidence from Mexico

Author

Listed:
  • 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.

Suggested Citation

  • Valérie Berenger & Cuauhtémoc Calderón Villarreal & Franck Celestini, 2009. "Modelling the Distribution of Multidimensional Poverty Scores: Evidence from Mexico," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 24(1), pages 3-34.
    • Handle: RePEc:emx:esteco:v:24:y:2009:i:1:p:3-34
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    File URL: https://estudioseconomicos.colmex.mx/index.php/economicos/article/view/130/132
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    References listed on IDEAS

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    1. Rahman, Tauhidur & Mittelhammer, Ronald C. & Wandschneider, Philip R., 2003. "A Sensitivity Analysis Of Quality Of Life Indices Across Countries," 2003 Annual meeting, July 27-30, Montreal, Canada 22045, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Achille Lemmi & Gianni Betti (ed.), 2006. "Fuzzy Set Approach to Multidimensional Poverty Measurement," Economic Studies in Inequality, Social Exclusion, and Well-Being, Springer, number 978-0-387-34251-1, Fall.
    3. Satya R. Chakravarty, 2019. "An Axiomatic Approach to Multidimensional Poverty Measurement via Fuzzy Sets," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 123-141, Springer.
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    6. Josiane Vero, 2006. "A Comparison of Poverty According to Primary Goods, Capabilities and Outcomes. Evidence from French School Leavers’ Surveys," Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Achille Lemmi & Gianni Betti (ed.), Fuzzy Set Approach to Multidimensional Poverty Measurement, chapter 11, pages 211-231, Springer.
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    9. Sara Lelli, 2001. "Factor Analysis vs. Fuzzy Sets Theory: Assessing the Influence of Different Techniques on Sen's Functioning Approach," Public Economics Working Paper Series ces0121, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Working Group Public Economics.
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    13. Stéphane Mussard & Pi Alperin María Noel, 2005. "Multidimensional Decomposition Of Poverty: A Fuzzy Set Approach," Cahiers de recherche 05-08, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
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    19. Tauhidur Rahman & Ron C. Mittelhammer & Philip Wandschneider, 2005. "Measuring the Quality of Life Across Countries: a Sensitivity Analysis of Well-Being Indices," WIDER Working Paper Series RP2005-06, World Institute for Development Economic Research (UNU-WIDER).
    20. S. Streeten, Paul, 1979. "Basics needs: Premises and promises," Journal of Policy Modeling, Elsevier, vol. 1(1), pages 136-146, January.
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    Cited by:

    1. Hammill, Matthew, 2009. "Income poverty and unsatisfied basic needs," Sede Subregional de la CEPAL en México (Estudios e Investigaciones) 25900, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).

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    More about this item

    Keywords

    fuzzy sets approach; multidimensional measures of poverty; unsatisfied basic needs;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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