Does socioeconomic inequality affect education more in less wealthy municipalities?

Detalhes bibliográficos
Autor(a) principal: Gramani, Maria Cristina
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.   
id FCC-1_1ee6542aa2372d9326af739ef5b73502
oai_identifier_str oai:ojs.publicacoes.fcc.org.br:article/4220
network_acronym_str FCC-1
network_name_str Cadernos de Pesquisa (Fundação Carlos Chagas. Online)
repository_id_str
spelling 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
_version_ 1795330315812601856