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Pobreza multidimensional en la Argentina. Asimetrías regionales (Parte I)

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  • Jorge Paz

    (CONICET-IELDE/UNSa)

Abstract

This document presents the results of a Multidimensional Poverty Measurement exercise conducted for minor spatial units (MSU) of Argentina (jurisdictions as well as subdivisions consisting of major cities and other relatively smaller urban centers in terms of population). The data source is the Annual Urban Household Survey that collects information from urban areas of over 1,999 inhabitants. The multidimensional measurement exercise includes indicators related to the economic capacity of households, housing quality, sanitation and social inclusion. The results show a strong asymmetry between MSU, with poverty rates ranging from 2.5% to 40.3%. Argentina’s Northeastern and Northwestern MSU are the most intensely affected by multidimensional poverty. The multidimensional approach, like its predecessor the basic needs approach, widens the traditional poverty approach based on incomes or consumption levels, providing a more comprehensive structural framework to think and design better public policies that go beyond the limited conditional cash transfer programs currently ongoing in Argentina and other several countries in Latin America and the Caribbean.

Suggested Citation

  • Jorge Paz, 2014. "Pobreza multidimensional en la Argentina. Asimetrías regionales (Parte I)," Working Papers 11, Instituto de Estudios Laborales y del Desarrollo Económico (IELDE) - Universidad Nacional de Salta - Facultad de Ciencias Económicas, Jurídicas y Sociales.
  • Handle: RePEc:slt:wpaper:11
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    References listed on IDEAS

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    1. Pinto Santa Cruz, Aníbal, 2008. "Notas sobre los estilos de desarrollo en América Latina," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    2. Leonardo Gasparini & Martín Cicowiez & Walter Sosa Escudero, 2014. "Pobreza y Desigualdad en America Latina: Conceptos, Herramientas y Aplicaciones," CEDLAS, Working Papers 0171, CEDLAS, Universidad Nacional de La Plata.
    3. Feres, Juan Carlos & Mancero, Xavier, 2000. "El método de las necesidades básicas insatisfechas (NBI) y sus aplicaciones en América Latina," Sede de la CEPAL en Santiago (Estudios e Investigaciones) 31527, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    4. Diego Battiston & Guillermo Cruces & Luis Lopez-Calva & Maria Lugo & Maria Santos, 2013. "Income and Beyond: Multidimensional Poverty in Six Latin American Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 112(2), pages 291-314, June.
    5. Maasoumi, Esfandiar & Lugo, Maria, 2006. "The Information Basis of Multivariate Poverty Assessments," Departmental Working Papers 0603, Southern Methodist University, Department of Economics.
    6. Hicks, Norman & Streeten, Paul, 1979. "Indicators of development: The search for a basic needs yardstick," World Development, Elsevier, vol. 7(6), pages 567-580, June.
    7. Adriana Conconi & Andres Ham, 2007. "Pobreza Multidimensional Relativa. Una Aplicación a la Argentina," CEDLAS, Working Papers 0057, CEDLAS, Universidad Nacional de La Plata.
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    Cited by:

    1. Carla Arévalo & Jorge A. Paz, 2015. "Pobreza en la Argentina. Privaciones múltiples y asimetrías regionales," Working Papers 15, Instituto de Estudios Laborales y del Desarrollo Económico (IELDE) - Universidad Nacional de Salta - Facultad de Ciencias Económicas, Jurídicas y Sociales.
    2. Jorge A. Paz & Sebastián Waisgrais & Javier Curcio, 2017. "Medición y análisis multidimensionales del bienestar y la pobreza en niñas, niños y adolescentes en Argentina," Working Papers 17, Instituto de Estudios Laborales y del Desarrollo Económico (IELDE) - Universidad Nacional de Salta - Facultad de Ciencias Económicas, Jurídicas y Sociales.

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