A PROBABILISTIC APPROACH TO THE INEQUALITY ADJUSTMENT OF THE HUMAN DEVELOPMENT INDEX

Detalhes bibliográficos
Autor(a) principal: Sant’Anna,Annibal Parracho
Data de Publicação: 2018
Outros Autores: Lima,Gilson Brito Alves, Gavião,Luiz Octávio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa operacional (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382018000100099
Resumo: ABSTRACT The Composition of Probabilistic Preferences is here applied to combine eight indicators of human development. The four components of HDI are considered together with indices of inequality in longevity, schooling, and income, and the UNDP Gender Development Index. To compose the probabilities of preference by the different criteria, a pessimistic and conservative point of view is taken. This point of view, while generating the global score, results in employing for each option the probability of not presenting the lowest evaluation according to any criterion, increasing the importance assigned in the computations to the proximity to the frontier of worst performances. Alternative rankings of the 188 countries ranked in the 2015 and the 2016 Human Development Report are obtained. Capacities allowing for interactions between up to eight components are employed. Representative profiles of ordered classes are derived from the rankings. Classifications of the countries into previously determined classes are also performed.
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spelling A PROBABILISTIC APPROACH TO THE INEQUALITY ADJUSTMENT OF THE HUMAN DEVELOPMENT INDEXHuman Development IndexComposition of Probabilistic PreferencesMultiple criteria Decision analysisUncertainty ModellingABSTRACT The Composition of Probabilistic Preferences is here applied to combine eight indicators of human development. The four components of HDI are considered together with indices of inequality in longevity, schooling, and income, and the UNDP Gender Development Index. To compose the probabilities of preference by the different criteria, a pessimistic and conservative point of view is taken. This point of view, while generating the global score, results in employing for each option the probability of not presenting the lowest evaluation according to any criterion, increasing the importance assigned in the computations to the proximity to the frontier of worst performances. Alternative rankings of the 188 countries ranked in the 2015 and the 2016 Human Development Report are obtained. Capacities allowing for interactions between up to eight components are employed. Representative profiles of ordered classes are derived from the rankings. Classifications of the countries into previously determined classes are also performed.Sociedade Brasileira de Pesquisa Operacional2018-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382018000100099Pesquisa Operacional v.38 n.1 2018reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/0101-7438.2018.038.01.0099info:eu-repo/semantics/openAccessSant’Anna,Annibal ParrachoLima,Gilson Brito AlvesGavião,Luiz Octávioeng2018-04-13T00:00:00Zoai:scielo:S0101-74382018000100099Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2018-04-13T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv A PROBABILISTIC APPROACH TO THE INEQUALITY ADJUSTMENT OF THE HUMAN DEVELOPMENT INDEX
title A PROBABILISTIC APPROACH TO THE INEQUALITY ADJUSTMENT OF THE HUMAN DEVELOPMENT INDEX
spellingShingle A PROBABILISTIC APPROACH TO THE INEQUALITY ADJUSTMENT OF THE HUMAN DEVELOPMENT INDEX
Sant’Anna,Annibal Parracho
Human Development Index
Composition of Probabilistic Preferences
Multiple criteria Decision analysis
Uncertainty Modelling
title_short A PROBABILISTIC APPROACH TO THE INEQUALITY ADJUSTMENT OF THE HUMAN DEVELOPMENT INDEX
title_full A PROBABILISTIC APPROACH TO THE INEQUALITY ADJUSTMENT OF THE HUMAN DEVELOPMENT INDEX
title_fullStr A PROBABILISTIC APPROACH TO THE INEQUALITY ADJUSTMENT OF THE HUMAN DEVELOPMENT INDEX
title_full_unstemmed A PROBABILISTIC APPROACH TO THE INEQUALITY ADJUSTMENT OF THE HUMAN DEVELOPMENT INDEX
title_sort A PROBABILISTIC APPROACH TO THE INEQUALITY ADJUSTMENT OF THE HUMAN DEVELOPMENT INDEX
author Sant’Anna,Annibal Parracho
author_facet Sant’Anna,Annibal Parracho
Lima,Gilson Brito Alves
Gavião,Luiz Octávio
author_role author
author2 Lima,Gilson Brito Alves
Gavião,Luiz Octávio
author2_role author
author
dc.contributor.author.fl_str_mv Sant’Anna,Annibal Parracho
Lima,Gilson Brito Alves
Gavião,Luiz Octávio
dc.subject.por.fl_str_mv Human Development Index
Composition of Probabilistic Preferences
Multiple criteria Decision analysis
Uncertainty Modelling
topic Human Development Index
Composition of Probabilistic Preferences
Multiple criteria Decision analysis
Uncertainty Modelling
description ABSTRACT The Composition of Probabilistic Preferences is here applied to combine eight indicators of human development. The four components of HDI are considered together with indices of inequality in longevity, schooling, and income, and the UNDP Gender Development Index. To compose the probabilities of preference by the different criteria, a pessimistic and conservative point of view is taken. This point of view, while generating the global score, results in employing for each option the probability of not presenting the lowest evaluation according to any criterion, increasing the importance assigned in the computations to the proximity to the frontier of worst performances. Alternative rankings of the 188 countries ranked in the 2015 and the 2016 Human Development Report are obtained. Capacities allowing for interactions between up to eight components are employed. Representative profiles of ordered classes are derived from the rankings. Classifications of the countries into previously determined classes are also performed.
publishDate 2018
dc.date.none.fl_str_mv 2018-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382018000100099
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382018000100099
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0101-7438.2018.038.01.0099
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
dc.source.none.fl_str_mv Pesquisa Operacional v.38 n.1 2018
reponame:Pesquisa operacional (Online)
instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron:SOBRAPO
instname_str Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron_str SOBRAPO
institution SOBRAPO
reponame_str Pesquisa operacional (Online)
collection Pesquisa operacional (Online)
repository.name.fl_str_mv Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
repository.mail.fl_str_mv ||sobrapo@sobrapo.org.br
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