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Medición multidimensional de la pobreza en México: significancia estadística en la inclusión de dimensiones no monetarias

Author

Listed:
  • Luis Felipe López Calva

    (Regional Bureau for Latin America and the Caribbean, UNDP)

  • Eduardo Ortiz Juárez

    (Regional Bureau for Latin America and the Caribbean, UNDP)

Abstract

Identifying relevant variables for multidimensional poverty analysis depends on how different dimensions complement or substitute each other, given the existence of attributes highly correlated with household income. Dimensions weakly correlated with household income highlight the relevance of multidimensionality. By using the Mexican Family Life Survey, this article incorporates dimensions weakly correlated with income to show, firstly, the probability of falling into poverty given three sets of indicators; and secondly, the magnitude of the exclusion error when a monetary measure, against the aforesaid probability, is adopted. The article finds a large exclusion error, especially in the case of moderate poverty.

Suggested Citation

  • Luis Felipe López Calva & Eduardo Ortiz Juárez, 2009. "Medición multidimensional de la pobreza en México: significancia estadística en la inclusión de dimensiones no monetarias," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 0(Special i), pages 3-33.
  • Handle: RePEc:emx:esteco:v:-:y:2009:i:special:p:3-33
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    File URL: http://estudioseconomicos.colmex.mx/archivo/EENumeroExtraordinario2009/3-33.pdf
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    Citations

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    Cited by:

    1. César P. Bouillon & Patricia Yáñez-Pagans, 2011. "Dynamic Consistency of Multidimensional and Income Targeting: An Application for Mexico Using Panel Data Information," IDB Publications (Working Papers) 3067, Inter-American Development Bank.
    2. Bronfman, Javier, 2014. "Beyond Income: A Study of Multidimensional Poverty in Chile," MPRA Paper 63256, University Library of Munich, Germany.

    More about this item

    Keywords

    multidimensional poverty; poverty measurement; exclusion error;

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General

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