Medición multidimensional de la pobreza en México: significancia estadística en la inclusión de dimensiones no monetarias
AbstractIdentifying 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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Bibliographic InfoArticle provided by El Colegio de México, Centro de Estudios Económicos in its journal Estudios Económicos.
Volume (Year): - (2009)
Issue (Month): Special issue ()
multidimensional poverty; poverty measurement; exclusion error;
Find related papers by 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, Technological Change, and Growth - - Economic Development - - - General
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- 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.
- César P. Bouillon & Patricia Yáñez-Pagans, 2011. "Dynamic Consistency of Multidimensional and Income Targeting: An Application for Mexico Using Panel Data Information," IDB Publications 37538, Inter-American Development Bank.
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