Does socioeconomic inequality affect education more in less wealthy municipalities?
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Cadernos de Pesquisa (Fundação Carlos Chagas. Online) |
Texto Completo: | https://publicacoes.fcc.org.br/cp/article/view/4220 |
Resumo: | This study attempts to capture the full picture of educational development in an emerging country that is characterized by both high economic development and high socioeconomic inequality. A two-step model is used in this study. The first step uses the variables that are directly related to education to capture the educational efficiency of each municipality; the second step uses a statistical Tobit model to estimate the influence of the non-discretionary variables on the educational efficiency found in the first step. A previous categorization by clusters is also implemented to ensure a fair comparison among homogeneous municipalities. The results show significant discrepancies in the influence of socioeconomic variables on educational outcome, which depends on the welfare of the cluster. |
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Does socioeconomic inequality affect education more in less wealthy municipalities?¿la desigualdad económica afecta más a los municipios menos favorecidos?L’inégalité socio–économique affecte-t-elle plus l’éducation dans les communes moins riches?A desigualdade socioeconômica afeta mais municípios menos favorecidos?Data Envelopment Analysis – DEAEficiência EducacionalEducação BásicaDesigualdade SocialData Envelopment Analysis – DEAEfficacité ÉducativeÉducation BasiqueInégalité SocialeData Envelopment Analysis – DEAEficiencia EducacionalEducación BásicaDesigualdad SocialData Envelopment Analysis – DEAEducational EfficiencyBasic EducationSocial Inequalitieseducação escolar públicadesigualdade econômicaeficiência da educaçãoThis study attempts to capture the full picture of educational development in an emerging country that is characterized by both high economic development and high socioeconomic inequality. A two-step model is used in this study. The first step uses the variables that are directly related to education to capture the educational efficiency of each municipality; the second step uses a statistical Tobit model to estimate the influence of the non-discretionary variables on the educational efficiency found in the first step. A previous categorization by clusters is also implemented to ensure a fair comparison among homogeneous municipalities. The results show significant discrepancies in the influence of socioeconomic variables on educational outcome, which depends on the welfare of the cluster. Este estudio busca analizar el panorama de la educación básica en un país emergente que se caracteriza, por un lado, por el elevado desarrollo económico y, por otro, por la alta desigualdad socioeconómica. Se utiliza un modelo de dos fases; la primera fase usa variables directamente relacionadas con la educación para capturar la eficiencia educacional de cada municipio, y la segunda emplea la regresión Tobit a fin de estimar la influencia de las variables ambientales (no discrecionales) sobre la eficiencia educacional encontrada en el primer paso. Se implementó un agrupamiento de los municipios en clusters para assegurar una justa comparación entre municipios homogéneos. Los resultados muestran significativas discrepancias en la influencia de variables socioeconómicas en el resultado educacional, en función de la prosperidad de cada cluster. L’objectif de cet étude est d’analyser le panorama de l’enseignement obligatoire dans un pays émergent qui, d’un côté, se caractérise par son développement économique et, de l’autre, par sa grande inégalité socio-économique. Pour cela, nous avons choisi un modèle à deux niveaux, le premier utilise des variables directement liées à l’éducation, afin de juger de l’efficacité éducative de chaque commune; et le second, à l’aide de la méthode de régression Tobit, estime l’influence des variables environnementales (non discriminatoires) sur cette efficacité. Un regroupement des communes en clusters a été mis en place pour permettre une comparaison équitable entre communes homogènes. Les résultats montrent des écarts significatifs concernant l’influence des variables socio-économiques dans les résultats éducatifs, en fonction de la richesse du cluster. Este estudo busca analisar o panorama da educação básica em um país emergente que se caracteriza, por um lado, pelo elevado desenvolvimento econômico e, por outro, pela alta desigualdade socioeconômica. Um modelo de dois estágios é utilizado, sendo que o primeiro estágio usa variáveis diretamente relacionadas à educação para capturar a eficiência educacional de cada município e o segundo emprega a regressão Tobit a fim de estimar a influência das variáveis ambientais (não discricionárias) sobre a eficiência educacional encontrada no primeiro passo. Um agrupamento dos municípios em clusters foi implementado para assegurar uma comparação justa entre municípios homogêneos. Os resultados mostram discrepâncias significativas na influência de variáveis socioeconômicas no resultado educacional, dependendo da prosperidade de cada cluster.Fundação Carlos Chagas2017-05-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://publicacoes.fcc.org.br/cp/article/view/4220Cadernos de Pesquisa; Vol. 47 No. 164: abr./jun.2017; 470-494Cadernos de Pesquisa; Vol. 47 Núm. 164: abr./jun.2017; 470-494Cadernos de Pesquisa; Vol. 47 No. 164: abr./jun.2017; 470-494Cadernos de Pesquisa; v. 47 n. 164: abr./jun.2017; 470-4941980-53140100-1574reponame:Cadernos de Pesquisa (Fundação Carlos Chagas. Online)instname:Fundação Carlos Chagas (FCC)instacron:FCCporenghttps://publicacoes.fcc.org.br/cp/article/view/4220/pdfhttps://publicacoes.fcc.org.br/cp/article/view/4220/3370Copyright (c) 2017 Cadernos de Pesquisahttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessGramani, Maria Cristina2022-12-07T13:54:29Zoai:ojs.publicacoes.fcc.org.br:article/4220Revistahttp://publicacoes.fcc.org.br/ojs/index.php/cp/indexhttps://old.scielo.br/oai/scielo-oai.phpcadpesq@fcc.org.br||cadpesq@fcc.org.br1980-53140100-1574opendoar:2022-12-07T13:54:29Cadernos de Pesquisa (Fundação Carlos Chagas. Online) - Fundação Carlos Chagas (FCC)false |
dc.title.none.fl_str_mv |
Does socioeconomic inequality affect education more in less wealthy municipalities? ¿la desigualdad económica afecta más a los municipios menos favorecidos? L’inégalité socio–économique affecte-t-elle plus l’éducation dans les communes moins riches? A desigualdade socioeconômica afeta mais municípios menos favorecidos? |
title |
Does socioeconomic inequality affect education more in less wealthy municipalities? |
spellingShingle |
Does socioeconomic inequality affect education more in less wealthy municipalities? Gramani, Maria Cristina Data Envelopment Analysis – DEA Eficiência Educacional Educação Básica Desigualdade Social Data Envelopment Analysis – DEA Efficacité Éducative Éducation Basique Inégalité Sociale Data Envelopment Analysis – DEA Eficiencia Educacional Educación Básica Desigualdad Social Data Envelopment Analysis – DEA Educational Efficiency Basic Education Social Inequalities educação escolar pública desigualdade econômica eficiência da educação |
title_short |
Does socioeconomic inequality affect education more in less wealthy municipalities? |
title_full |
Does socioeconomic inequality affect education more in less wealthy municipalities? |
title_fullStr |
Does socioeconomic inequality affect education more in less wealthy municipalities? |
title_full_unstemmed |
Does socioeconomic inequality affect education more in less wealthy municipalities? |
title_sort |
Does socioeconomic inequality affect education more in less wealthy municipalities? |
author |
Gramani, Maria Cristina |
author_facet |
Gramani, Maria Cristina |
author_role |
author |
dc.contributor.author.fl_str_mv |
Gramani, Maria Cristina |
dc.subject.por.fl_str_mv |
Data Envelopment Analysis – DEA Eficiência Educacional Educação Básica Desigualdade Social Data Envelopment Analysis – DEA Efficacité Éducative Éducation Basique Inégalité Sociale Data Envelopment Analysis – DEA Eficiencia Educacional Educación Básica Desigualdad Social Data Envelopment Analysis – DEA Educational Efficiency Basic Education Social Inequalities educação escolar pública desigualdade econômica eficiência da educação |
topic |
Data Envelopment Analysis – DEA Eficiência Educacional Educação Básica Desigualdade Social Data Envelopment Analysis – DEA Efficacité Éducative Éducation Basique Inégalité Sociale Data Envelopment Analysis – DEA Eficiencia Educacional Educación Básica Desigualdad Social Data Envelopment Analysis – DEA Educational Efficiency Basic Education Social Inequalities educação escolar pública desigualdade econômica eficiência da educação |
description |
This study attempts to capture the full picture of educational development in an emerging country that is characterized by both high economic development and high socioeconomic inequality. A two-step model is used in this study. The first step uses the variables that are directly related to education to capture the educational efficiency of each municipality; the second step uses a statistical Tobit model to estimate the influence of the non-discretionary variables on the educational efficiency found in the first step. A previous categorization by clusters is also implemented to ensure a fair comparison among homogeneous municipalities. The results show significant discrepancies in the influence of socioeconomic variables on educational outcome, which depends on the welfare of the cluster. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-05-30 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://publicacoes.fcc.org.br/cp/article/view/4220 |
url |
https://publicacoes.fcc.org.br/cp/article/view/4220 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://publicacoes.fcc.org.br/cp/article/view/4220/pdf https://publicacoes.fcc.org.br/cp/article/view/4220/3370 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Cadernos de Pesquisa https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Cadernos de Pesquisa https://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Fundação Carlos Chagas |
publisher.none.fl_str_mv |
Fundação Carlos Chagas |
dc.source.none.fl_str_mv |
Cadernos de Pesquisa; Vol. 47 No. 164: abr./jun.2017; 470-494 Cadernos de Pesquisa; Vol. 47 Núm. 164: abr./jun.2017; 470-494 Cadernos de Pesquisa; Vol. 47 No. 164: abr./jun.2017; 470-494 Cadernos de Pesquisa; v. 47 n. 164: abr./jun.2017; 470-494 1980-5314 0100-1574 reponame:Cadernos de Pesquisa (Fundação Carlos Chagas. Online) instname:Fundação Carlos Chagas (FCC) instacron:FCC |
instname_str |
Fundação Carlos Chagas (FCC) |
instacron_str |
FCC |
institution |
FCC |
reponame_str |
Cadernos de Pesquisa (Fundação Carlos Chagas. Online) |
collection |
Cadernos de Pesquisa (Fundação Carlos Chagas. Online) |
repository.name.fl_str_mv |
Cadernos de Pesquisa (Fundação Carlos Chagas. Online) - Fundação Carlos Chagas (FCC) |
repository.mail.fl_str_mv |
cadpesq@fcc.org.br||cadpesq@fcc.org.br |
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1795330315812601856 |