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

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Author Info

  • 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.

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File URL: http://codex.colmex.mx:8991/exlibris/aleph/a18_1/apache_media/RQBKCQ2JANKC7TGLCE2SKYHAV6FKJ7.pdf
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Bibliographic Info

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

Volume (Year): - (2009)
Issue (Month): Special issue ()
Pages: 3-33

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Handle: RePEc:emx:esteco:v:-:y:2009:i:special:p:3-33

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Web page: http://www.colmex.mx/centros/cee/
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Related research

Keywords: multidimensional poverty; poverty measurement; exclusion error;

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Cited by:
  1. Cesar Bouillon & Patricia Yanez-Pagans, 2011. "Dynamic Consistency of Multidimensional and Income Targeting: An Application for Mexico Using Panel Data Information," Research Department Publications 4709, Inter-American Development Bank, Research Department.

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