Acute Multidimensional Poverty: A New Index for Developing Countries

Autores
Alkire, Sabina; Santos, Maria Emma
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper presents a new Multidimensional Poverty Index (MPI) for 104 developing countries. It is the first time multidimensional poverty is estimated using micro datasets (household surveys) for such a large number of countries which cover about 78 percent of the world´s population. The MPI has the mathematical structure of one of the Alkire and Foster poverty multidimensional measures and it is composed of ten indicators corresponding to same three dimensions as the Human Development Index: Education, Health and Standard of Living. The MPI captures a set of direct deprivations that batter a person at the same time. This tool could be used to target the poorest, track the Millennium Development Goals, and design policies that directly address the interlocking deprivations poor people experience. This paper presents the methodology and components in the MPI, describes main results, and shares basic robustness tests.
Fil: Alkire, Sabina. University of Oxford; Reino Unido
Fil: Santos, Maria Emma. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina
Materia
POVERTY MEASUREMENT
MULTIDIMENSIONAL POVERTY
CAPABILITY APPROACH
HUMAN DEVELOPMENT
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/66475
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Acute Multidimensional Poverty: A New Index for Developing CountriesAlkire, SabinaSantos, Maria EmmaPOVERTY MEASUREMENTMULTIDIMENSIONAL POVERTYCAPABILITY APPROACHHUMAN DEVELOPMENThttps://purl.org/becyt/ford/5.2https://purl.org/becyt/ford/5This paper presents a new Multidimensional Poverty Index (MPI) for 104 developing countries. It is the first time multidimensional poverty is estimated using micro datasets (household surveys) for such a large number of countries which cover about 78 percent of the world´s population. The MPI has the mathematical structure of one of the Alkire and Foster poverty multidimensional measures and it is composed of ten indicators corresponding to same three dimensions as the Human Development Index: Education, Health and Standard of Living. The MPI captures a set of direct deprivations that batter a person at the same time. This tool could be used to target the poorest, track the Millennium Development Goals, and design policies that directly address the interlocking deprivations poor people experience. This paper presents the methodology and components in the MPI, describes main results, and shares basic robustness tests.Fil: Alkire, Sabina. University of Oxford; Reino UnidoFil: Santos, Maria Emma. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; ArgentinaOPHI2010-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/66475Alkire, Sabina; Santos, Maria Emma; Acute Multidimensional Poverty: A New Index for Developing Countries; OPHI; OPHI Working Papers; 7-2010; 1-1392040-8188978-1-907194-22-1CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.ophi.org.uk/wp-content/uploads/ophi-wp38.pdfinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:07:07Zoai:ri.conicet.gov.ar:11336/66475instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:07:07.359CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Acute Multidimensional Poverty: A New Index for Developing Countries
title Acute Multidimensional Poverty: A New Index for Developing Countries
spellingShingle Acute Multidimensional Poverty: A New Index for Developing Countries
Alkire, Sabina
POVERTY MEASUREMENT
MULTIDIMENSIONAL POVERTY
CAPABILITY APPROACH
HUMAN DEVELOPMENT
title_short Acute Multidimensional Poverty: A New Index for Developing Countries
title_full Acute Multidimensional Poverty: A New Index for Developing Countries
title_fullStr Acute Multidimensional Poverty: A New Index for Developing Countries
title_full_unstemmed Acute Multidimensional Poverty: A New Index for Developing Countries
title_sort Acute Multidimensional Poverty: A New Index for Developing Countries
dc.creator.none.fl_str_mv Alkire, Sabina
Santos, Maria Emma
author Alkire, Sabina
author_facet Alkire, Sabina
Santos, Maria Emma
author_role author
author2 Santos, Maria Emma
author2_role author
dc.subject.none.fl_str_mv POVERTY MEASUREMENT
MULTIDIMENSIONAL POVERTY
CAPABILITY APPROACH
HUMAN DEVELOPMENT
topic POVERTY MEASUREMENT
MULTIDIMENSIONAL POVERTY
CAPABILITY APPROACH
HUMAN DEVELOPMENT
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.2
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv This paper presents a new Multidimensional Poverty Index (MPI) for 104 developing countries. It is the first time multidimensional poverty is estimated using micro datasets (household surveys) for such a large number of countries which cover about 78 percent of the world´s population. The MPI has the mathematical structure of one of the Alkire and Foster poverty multidimensional measures and it is composed of ten indicators corresponding to same three dimensions as the Human Development Index: Education, Health and Standard of Living. The MPI captures a set of direct deprivations that batter a person at the same time. This tool could be used to target the poorest, track the Millennium Development Goals, and design policies that directly address the interlocking deprivations poor people experience. This paper presents the methodology and components in the MPI, describes main results, and shares basic robustness tests.
Fil: Alkire, Sabina. University of Oxford; Reino Unido
Fil: Santos, Maria Emma. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina
description This paper presents a new Multidimensional Poverty Index (MPI) for 104 developing countries. It is the first time multidimensional poverty is estimated using micro datasets (household surveys) for such a large number of countries which cover about 78 percent of the world´s population. The MPI has the mathematical structure of one of the Alkire and Foster poverty multidimensional measures and it is composed of ten indicators corresponding to same three dimensions as the Human Development Index: Education, Health and Standard of Living. The MPI captures a set of direct deprivations that batter a person at the same time. This tool could be used to target the poorest, track the Millennium Development Goals, and design policies that directly address the interlocking deprivations poor people experience. This paper presents the methodology and components in the MPI, describes main results, and shares basic robustness tests.
publishDate 2010
dc.date.none.fl_str_mv 2010-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/66475
Alkire, Sabina; Santos, Maria Emma; Acute Multidimensional Poverty: A New Index for Developing Countries; OPHI; OPHI Working Papers; 7-2010; 1-139
2040-8188
978-1-907194-22-1
CONICET Digital
CONICET
url http://hdl.handle.net/11336/66475
identifier_str_mv Alkire, Sabina; Santos, Maria Emma; Acute Multidimensional Poverty: A New Index for Developing Countries; OPHI; OPHI Working Papers; 7-2010; 1-139
2040-8188
978-1-907194-22-1
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.ophi.org.uk/wp-content/uploads/ophi-wp38.pdf
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv OPHI
publisher.none.fl_str_mv OPHI
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842269990069207040
score 13.13397

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