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Poniendo a la pobreza de ingresos y a la desigualdad en el mapa de México

Author

Listed:
  • Miguel Székely Pardo

    (Secretaría de Desarrollo Social (SEDESOL). Mexico.)

  • Luis F. López-Calva

    (Escuela de Graduados en Administración Pública ITESM, Campus Ciudad de México)

  • Álvaro Meléndez Martínez

    (Secretaría de Desarrollo Social (SEDESOL). Mexico.)

  • Ericka G. Rascón Ramírez

    (Secretaría de Desarrollo Social (SEDESOL). Mexico.)

  • Lourdes Rodríguez-Chamussy

    (Universidad de California, Berkeley.)

Abstract

AThis paper presents income poverty and inequality estimates at the State and Municipal levels for Mexico. Our estimates allow for the mapping of poverty and inequality in the country, as well as for determining the specific contribution of each geographic unit to overall poverty. Additionally, it allows to measure inequality in disaggregated geographic spaces, and to decompose inequality in terms of the proportion due to within and between States and Municipalities. Our estimates are based on robust household income measures, generated with methodologies that allow for solving the common dilemma in welfare measurement, namely that there is either information with low quality measurement but high possibilities of disaggregation, or information with high quality measurement but representative only at aggregated levels.

Suggested Citation

  • Miguel Székely Pardo & Luis F. López-Calva & Álvaro Meléndez Martínez & Ericka G. Rascón Ramírez & Lourdes Rodríguez-Chamussy, 2007. "Poniendo a la pobreza de ingresos y a la desigualdad en el mapa de México," Economía Mexicana NUEVA ÉPOCA, , vol. 0(2), pages 239-303, July-Dece.
  • Handle: RePEc:emc:ecomex:v:16:y:2007:i:2:p:239-303
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    References listed on IDEAS

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    1. Coe, Patrick J. & Nason, James M., 2003. "The long-horizon regression approach to monetary neutrality: how should the evidence be interpreted?," Economics Letters, Elsevier, vol. 78(3), pages 351-356, March.
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    More about this item

    Keywords

    poverty and inequality by municipality; poverty maps; inequality maps and imputation of income.;

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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