A multidimensional analysis of poverty: Recent evidence for the regions of Argentina

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The traditional poverty approach explains poverty levels but partially; there are deficiencies additional to income. In this paper we characterize multidimensional poverty in Argentinean regions for the period 2004-2010. Based on the Capability Approach we estimate indicators for each dimension cons...

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Autores principales: LOPEZ, CAROLINA, SAFOJAN, ROMINA
Formato: Artículo publishedVersion
Lenguaje:Español
Publicado: FACULTAD DE CIENCIAS ECONÓMICAS - UNIVERSIDAD DE BUENOS AIRES 2013
Materias:
Poverty
Argentina
Pobreza
Acceso en línea:https://ojs.economicas.uba.ar/REPBA/article/view/558
https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=ecopol&d=558_oai
Aporte de:
Repositorio Digital de la Universidad de Buenos Aires (UBA) de Universidad de Buenos Aires
id I28-R145-558_oai
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spelling I28-R145-558_oai2025-02-11 LOPEZ, CAROLINA SAFOJAN, ROMINA 2013-05-01 The traditional poverty approach explains poverty levels but partially; there are deficiencies additional to income. In this paper we characterize multidimensional poverty in Argentinean regions for the period 2004-2010. Based on the Capability Approach we estimate indicators for each dimension considered, assigning weights, and aggregate them through the main index of multidimensional poverty, making a comparative analysis. The higher multidimensional poverty levels are recorded in the NOA and NEA and lower in the Patagonia, and have been reduced in all the regions. Income, Rate of Dependence and Sanitation are the most relevant indicators to explain poverty. El enfoque tradicional de pobreza explica la pobreza pero parcialmente; existen carencias adicionales al ingreso. En este trabajo se caracteriza la pobreza multidimensional en las regiones de Argentina para el período 2004-2010. En base al Enfoque de Capabilities, se construyen indicadores para cada dimensión considerada, asignando ponderaciones, y se los agrega mediante los principales índices de pobreza ultidimensional, realizando un análisis comparativo. Los mayores niveles de pobreza multidimensional se registran en el NOA y NEA y menores en la Patagonia, habiendo disminuido en todas las regiones. El Ingreso, Tasa de Dependencia y Saneamiento contribuyen en mayor medida a la pobreza.  application/pdf https://ojs.economicas.uba.ar/REPBA/article/view/558 spa FACULTAD DE CIENCIAS ECONÓMICAS - UNIVERSIDAD DE BUENOS AIRES https://ojs.economicas.uba.ar/REPBA/article/view/558/1026 Derechos de autor 2013 Revista de Economía Política de Buenos Aires Revista de Economía Política de Buenos Aires; Vol. 7 No. 12 (2013): Revista de Economía Política de Buenos Aires; 9-44 Revista de Economía Política de Buenos Aires; Vol. 7 Núm. 12 (2013): Revista de Economía Política de Buenos Aires; 9-44 1853-1350 1850-6933 urn:issn:1853-1350repba.v0i121 Poverty Argentina Pobreza Argentina A multidimensional analysis of poverty: Recent evidence for the regions of Argentina Un análisis multidimensional de la pobreza: Evidencia reciente de las regiones de Argentina info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=ecopol&d=558_oai
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-145
collection Repositorio Digital de la Universidad de Buenos Aires (UBA)
language Español
orig_language_str_mv spa
topic Poverty
Argentina
Pobreza
Argentina
spellingShingle Poverty
Argentina
Pobreza
Argentina
LOPEZ, CAROLINA
SAFOJAN, ROMINA
A multidimensional analysis of poverty: Recent evidence for the regions of Argentina
topic_facet Poverty
Argentina
Pobreza
Argentina
description The traditional poverty approach explains poverty levels but partially; there are deficiencies additional to income. In this paper we characterize multidimensional poverty in Argentinean regions for the period 2004-2010. Based on the Capability Approach we estimate indicators for each dimension considered, assigning weights, and aggregate them through the main index of multidimensional poverty, making a comparative analysis. The higher multidimensional poverty levels are recorded in the NOA and NEA and lower in the Patagonia, and have been reduced in all the regions. Income, Rate of Dependence and Sanitation are the most relevant indicators to explain poverty.
format Artículo
publishedVersion
author LOPEZ, CAROLINA
SAFOJAN, ROMINA
author_facet LOPEZ, CAROLINA
SAFOJAN, ROMINA
author_sort LOPEZ, CAROLINA
title A multidimensional analysis of poverty: Recent evidence for the regions of Argentina
title_short A multidimensional analysis of poverty: Recent evidence for the regions of Argentina
title_full A multidimensional analysis of poverty: Recent evidence for the regions of Argentina
title_fullStr A multidimensional analysis of poverty: Recent evidence for the regions of Argentina
title_full_unstemmed A multidimensional analysis of poverty: Recent evidence for the regions of Argentina
title_sort multidimensional analysis of poverty: recent evidence for the regions of argentina
publisher FACULTAD DE CIENCIAS ECONÓMICAS - UNIVERSIDAD DE BUENOS AIRES
publishDate 2013
url https://ojs.economicas.uba.ar/REPBA/article/view/558
https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=ecopol&d=558_oai
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