Determinants of access to higher education in Brazil
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/7084 |
Resumo: | The objective of the research is to identify the municipal socioeconomic factors that determine access to higher education. The binary logit model was used econometric. The dependent variable accommodated two categorical dummy 1 responses if access to higher education and dummy 0 otherwise. The independent variables considered were: illiteracy, unemployment, education, GDP per capita, household income, health and IFDM. Data analysis was performed using the Eviews statistical package at a significance level of 5%. As a result, it was found that of the variables under study, only the illiteracy variable was not statistically significant. The variables, unemployment, household income and IFDM were positive and statistically significant, which means they had a direct relationship. The variables PIB per capita, education and health had a negative sign (the unexpected priore) and statistically significant, presented an inverse relation with the dependent variable. To a certain extent, all variables in practice may have a strong influence on whether or not people have access to higher education, although some have had a negative relationship. |
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Determinants of access to higher education in Brazil Determinantes del acceso a la educación superior em BrasilDeterminantes do acesso ao ensino superior no BrasilAcceso a la educación superior; Logit binary; Características socioeconómicas.Access to higher education; Logit binary; socioeconomic characteristics.Acesso ao Ensino Superior. Logit binário. Características Socioeconômicas.The objective of the research is to identify the municipal socioeconomic factors that determine access to higher education. The binary logit model was used econometric. The dependent variable accommodated two categorical dummy 1 responses if access to higher education and dummy 0 otherwise. The independent variables considered were: illiteracy, unemployment, education, GDP per capita, household income, health and IFDM. Data analysis was performed using the Eviews statistical package at a significance level of 5%. As a result, it was found that of the variables under study, only the illiteracy variable was not statistically significant. The variables, unemployment, household income and IFDM were positive and statistically significant, which means they had a direct relationship. The variables PIB per capita, education and health had a negative sign (the unexpected priore) and statistically significant, presented an inverse relation with the dependent variable. To a certain extent, all variables in practice may have a strong influence on whether or not people have access to higher education, although some have had a negative relationship.El objetivo de la investigación es identificar los factores socioeconómicos municipales que determinan el acceso a la educación superior. Se utilizó el modelo logit binario econométrico. La variable dependiente acomoda dos respuestas categóricas ficticias 1 si el acceso a la educación superior y el ficticio 0 de lo contrario. Las variables independientes consideradas fueron: analfabetismo, desempleo, educación, PIB per cápita, ingreso familiar, salud e IFDM. El análisis de los datos se realizó utilizando el paquete estadístico Eviews con un nivel de significación del 5%. Como resultado, se encontró que de las variables en estudio, solo la variable analfabetismo no era estadísticamente significativa. Las variables, desempleo, ingreso familiar e IFDM fueron positivas y estadísticamente significativas, lo que significa que tenían una relación directa. Las variables PIB per cápita, educación y salud tuvieron un signo negativo (el inesperado priore) y estadísticamente significativas, presentaron una relación inversa con la variable dependiente. Hasta cierto punto, todas las variables en la práctica pueden tener una fuerte influencia sobre si las personas tienen acceso a la educación superior o no, aunque algunas han tenido una relación negativa.O objetivo da pesquisa é de identificar os fatores socioeconômicos municipais que determinam o acesso ao ensino superior. Utilizou o modelo econométrico o logit binário. A variável dependente acomodou duas respostas categóricas dummy 1 se tiver acesso a acesso ao ensino superior e dummy 0 caso contrário. As variáveis independentes consideradas foram: analfabetismo, desemprego, educação, PIB per capita, renda domiciliar, sáude e IFDM. A análise de dados foi feita usando o pacote estatístico Eviews a um nível de significância de 5%. Como resultado constou que das variáveis em estudo, apenas a variável analfabetismo não foi estatisticamente significativa. As variáveis, desemprego, renda domiciliar e IFDM foram positivas e estatisticamente significativas, o que quer dizer tiveram uma relação direta. As variáveis PIB per capita, educação e saúde tiveram um sinal negativo (a priore inesperado) e estatisticamente significativas, apresentaram uma relação inversa com a variável dependente. De certa forma, todas as variáveis na prática podem possuir forte influência sobre os munícipes em ter acesso ou não no ensino superior, embora algumas tiveram uma relação negativa.Research, Society and Development2020-08-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/708410.33448/rsd-v9i9.7084Research, Society and Development; Vol. 9 No. 9; e67997084Research, Society and Development; Vol. 9 Núm. 9; e67997084Research, Society and Development; v. 9 n. 9; e679970842525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/7084/6187Copyright (c) 2020 Cesar Benites Mario Zidora; Luciana Virginia Mario Bernardo; Maycon Jorge Ulisses Saraiva Farinha; Adelsom Soares Filho; Juliano dos Santos Cardoso; Vanderson Aparecido de Souza; Mauro Sérgio Almeida de Limahttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessZidora, Cesar Benites Mario Bernardo, Luciana Virginia MarioFarinha, Maycon Jorge Ulisses Saraiva Soares Filho, Adelsom Cardoso, Juliano dos Santos Souza, Vanderson Aparecido deLima, Mauro Sérgio Almeida de2020-09-18T01:42:11Zoai:ojs.pkp.sfu.ca:article/7084Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:29:55.855134Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Determinants of access to higher education in Brazil Determinantes del acceso a la educación superior em Brasil Determinantes do acesso ao ensino superior no Brasil |
title |
Determinants of access to higher education in Brazil |
spellingShingle |
Determinants of access to higher education in Brazil Zidora, Cesar Benites Mario Acceso a la educación superior; Logit binary; Características socioeconómicas. Access to higher education; Logit binary; socioeconomic characteristics. Acesso ao Ensino Superior. Logit binário. Características Socioeconômicas. |
title_short |
Determinants of access to higher education in Brazil |
title_full |
Determinants of access to higher education in Brazil |
title_fullStr |
Determinants of access to higher education in Brazil |
title_full_unstemmed |
Determinants of access to higher education in Brazil |
title_sort |
Determinants of access to higher education in Brazil |
author |
Zidora, Cesar Benites Mario |
author_facet |
Zidora, Cesar Benites Mario Bernardo, Luciana Virginia Mario Farinha, Maycon Jorge Ulisses Saraiva Soares Filho, Adelsom Cardoso, Juliano dos Santos Souza, Vanderson Aparecido de Lima, Mauro Sérgio Almeida de |
author_role |
author |
author2 |
Bernardo, Luciana Virginia Mario Farinha, Maycon Jorge Ulisses Saraiva Soares Filho, Adelsom Cardoso, Juliano dos Santos Souza, Vanderson Aparecido de Lima, Mauro Sérgio Almeida de |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Zidora, Cesar Benites Mario Bernardo, Luciana Virginia Mario Farinha, Maycon Jorge Ulisses Saraiva Soares Filho, Adelsom Cardoso, Juliano dos Santos Souza, Vanderson Aparecido de Lima, Mauro Sérgio Almeida de |
dc.subject.por.fl_str_mv |
Acceso a la educación superior; Logit binary; Características socioeconómicas. Access to higher education; Logit binary; socioeconomic characteristics. Acesso ao Ensino Superior. Logit binário. Características Socioeconômicas. |
topic |
Acceso a la educación superior; Logit binary; Características socioeconómicas. Access to higher education; Logit binary; socioeconomic characteristics. Acesso ao Ensino Superior. Logit binário. Características Socioeconômicas. |
description |
The objective of the research is to identify the municipal socioeconomic factors that determine access to higher education. The binary logit model was used econometric. The dependent variable accommodated two categorical dummy 1 responses if access to higher education and dummy 0 otherwise. The independent variables considered were: illiteracy, unemployment, education, GDP per capita, household income, health and IFDM. Data analysis was performed using the Eviews statistical package at a significance level of 5%. As a result, it was found that of the variables under study, only the illiteracy variable was not statistically significant. The variables, unemployment, household income and IFDM were positive and statistically significant, which means they had a direct relationship. The variables PIB per capita, education and health had a negative sign (the unexpected priore) and statistically significant, presented an inverse relation with the dependent variable. To a certain extent, all variables in practice may have a strong influence on whether or not people have access to higher education, although some have had a negative relationship. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-08-11 |
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://rsdjournal.org/index.php/rsd/article/view/7084 10.33448/rsd-v9i9.7084 |
url |
https://rsdjournal.org/index.php/rsd/article/view/7084 |
identifier_str_mv |
10.33448/rsd-v9i9.7084 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/7084/6187 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 9 No. 9; e67997084 Research, Society and Development; Vol. 9 Núm. 9; e67997084 Research, Society and Development; v. 9 n. 9; e67997084 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052739045294080 |