An??lise de impacto do Fies sobre a renda do trabalhador formal
Ano de defesa: | 2016 |
---|---|
Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Cat??lica de Bras??lia
|
Programa de Pós-Graduação: |
Programa Strictu Sensu em Economia de Empresas
|
Departamento: |
Escola de Gest??o e Neg??cios
|
País: |
Brasil
|
Palavras-chave em Português: | |
Área do conhecimento CNPq: | |
Resumo em Inglês: | This paper aims to evaluate the effect of the major Student Loan Program of the Federal Government in Brazil, called Fies, on workers??? income in one side and on access to high education. The database used are the Rela????o Anual de Informa????es Sociais ??? RAIS identified by the social security number in 2003 and 2013 and individual - Ministry of Employment and Social Security and beneficiaries of Fies that started and finished high education between 2004 and 2012 and those data came from National Fund for Development of Education ??? FNDE. The methodology applied is the Propensity Score Matching ??? PSM which in this case compares two groups: beneficiaries of Fies, called treated group; and formal workers that were not benefited by Fies, however they have very similar characteristics to those that were. These workers are the controlled group. The results from logistic regression show that likelihood to use Fies increases if the workers have finished high school, are working in specific sectors of activities such as Transformation Industry, Extractive Industry, Construction, Trade, Services and are living in the Northeast region. Contrary, the likelihood to use Fies decreases if the workers are white, living in the Southeast, South or Midwest region and are older. The average treatment effect on treated (ATT) is positive, indicating that Fies contributes to increase workers??? income in around 20% and it has also contributed to increase access to high education. Finally, the T-test shows that distribution of covariates is balanced and the nearest neighbor matching was effective in getting the counterfactual very similar to the treated group. |
Link de acesso: | https://bdtd.ucb.br:8443/jspui/handle/tede/2060 |
Resumo: | This paper aims to evaluate the effect of the major Student Loan Program of the Federal Government in Brazil, called Fies, on workers??? income in one side and on access to high education. The database used are the Rela????o Anual de Informa????es Sociais ??? RAIS identified by the social security number in 2003 and 2013 and individual - Ministry of Employment and Social Security and beneficiaries of Fies that started and finished high education between 2004 and 2012 and those data came from National Fund for Development of Education ??? FNDE. The methodology applied is the Propensity Score Matching ??? PSM which in this case compares two groups: beneficiaries of Fies, called treated group; and formal workers that were not benefited by Fies, however they have very similar characteristics to those that were. These workers are the controlled group. The results from logistic regression show that likelihood to use Fies increases if the workers have finished high school, are working in specific sectors of activities such as Transformation Industry, Extractive Industry, Construction, Trade, Services and are living in the Northeast region. Contrary, the likelihood to use Fies decreases if the workers are white, living in the Southeast, South or Midwest region and are older. The average treatment effect on treated (ATT) is positive, indicating that Fies contributes to increase workers??? income in around 20% and it has also contributed to increase access to high education. Finally, the T-test shows that distribution of covariates is balanced and the nearest neighbor matching was effective in getting the counterfactual very similar to the treated group. |
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Monasterio, Leonardo Monteirohttp://lattes.cnpq.br/5320812023944256Ehrl, Philipphttp://lattes.cnpq.br/9369923733901266http://lattes.cnpq.br/2940229267809901Rocha, Wilsimara Maciel2017-04-17T13:46:16Z2016-03-09ROCHA, Wilsimara Maciel. An??lise de impacto do Fies sobre a renda do trabalhador formal. 2016. 49 f. Disserta????o (Programa Strictu Sensu em Economia de Empresas) - Universidade Cat??lica de Bras??lia, Bras??lia, 2016.https://bdtd.ucb.br:8443/jspui/handle/tede/2060This paper aims to evaluate the effect of the major Student Loan Program of the Federal Government in Brazil, called Fies, on workers??? income in one side and on access to high education. The database used are the Rela????o Anual de Informa????es Sociais ??? RAIS identified by the social security number in 2003 and 2013 and individual - Ministry of Employment and Social Security and beneficiaries of Fies that started and finished high education between 2004 and 2012 and those data came from National Fund for Development of Education ??? FNDE. The methodology applied is the Propensity Score Matching ??? PSM which in this case compares two groups: beneficiaries of Fies, called treated group; and formal workers that were not benefited by Fies, however they have very similar characteristics to those that were. These workers are the controlled group. The results from logistic regression show that likelihood to use Fies increases if the workers have finished high school, are working in specific sectors of activities such as Transformation Industry, Extractive Industry, Construction, Trade, Services and are living in the Northeast region. Contrary, the likelihood to use Fies decreases if the workers are white, living in the Southeast, South or Midwest region and are older. The average treatment effect on treated (ATT) is positive, indicating that Fies contributes to increase workers??? income in around 20% and it has also contributed to increase access to high education. Finally, the T-test shows that distribution of covariates is balanced and the nearest neighbor matching was effective in getting the counterfactual very similar to the treated group.O objetivo deste trabalho ?? avaliar o efeito do Programa de Financiamento Estudantil (Fies) sobre a renda do trabalhador de um lado e sobre o n??vel de acesso ao ensino superior, de outro. Os dados usados s??o a Rela????o Anual de Informa????es Sociais ??? RAIS do Minist??rio do Trabalho e Previd??ncia Social ??? MTPS de 2003 e 2013 e os dados dos indiv??duos que iniciaram e terminaram o n??vel superior com o Fies entre 2004 e 2012, disponibilizados pelo Fundo Nacional de Desenvolvimento da Educa????o ??? FNDE. A metodologia escolhida ?? a t??cnica do Propensity Score Matching (PSM) que compara dois grupos: pessoas que foram beneficiadas pelo Fies e formam o grupo tratado e pessoas que n??o foram beneficiadas pelo Fies, mas s??o estatisticamente muito parecidas com as pessoas que foram e formam o contrafactual. O resultado da regress??o log??stica indica que a probabilidade de usar o Fies aumenta se o indiv??duo possui n??vel m??dio completo, se trabalha na ind??stria de transforma????o, ind??stria extrativa, constru????o, no setor de com??rcio, servi??os e moram na regi??o Nordeste. A probabilidade diminui se o trabalhador ?? da cor branca, trabalha nas regi??es Sudeste, Sul ou Centro-Oeste e quanto maior a idade. O efeito m??dio do tratamento sobre os tratados (ATT) ?? positivo, indicando que o sal??rio mensal de quem usou o Fies ?? cerca de 20% maior que o sal??rio de quem n??o usou e n??o concluiu o ensino superior. Por fim, o teste-t mostra que a distribui????o das covariadas usadas no modelo ?? equilibrada e que o algoritmo de pareamento (nearest neighbour) foi eficaz em obter um contrafactual muito similar ao grupo tratado.Submitted by Sara Ribeiro (sara.ribeiro@ucb.br) on 2017-04-17T13:46:08Z No. of bitstreams: 1 WilsimaraMacielRochaDissertacao2016.pdf: 316272 bytes, checksum: 24d04b7329ad99104b26b2c8746dd47c (MD5)Approved for entry into archive by Sara Ribeiro (sara.ribeiro@ucb.br) on 2017-04-17T13:46:16Z (GMT) No. of bitstreams: 1 WilsimaraMacielRochaDissertacao2016.pdf: 316272 bytes, checksum: 24d04b7329ad99104b26b2c8746dd47c (MD5)Made available in DSpace on 2017-04-17T13:46:16Z (GMT). No. of bitstreams: 1 WilsimaraMacielRochaDissertacao2016.pdf: 316272 bytes, checksum: 24d04b7329ad99104b26b2c8746dd47c (MD5) Previous issue date: 2016-03-09application/pdfhttps://bdtd.ucb.br:8443/jspui/retrieve/4363/WilsimaraMacielRochaDissertacao2016.pdf.jpgporUniversidade Cat??lica de Bras??liaPrograma Strictu Sensu em Economia de EmpresasUCBBrasilEscola de Gest??o e Neg??ciosFinanciamento estudantilEnsino superiorEduca????oRendaECONOMIA::ECONOMIA DO BEM-ESTAR SOCIALAn??lise de impacto do Fies sobre a renda do trabalhador formalinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis-1139962560771343510500500600-3429419691752109715-4990464306938454779info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UCBinstname:Universidade Católica de Brasíliainstacron:UCBTHUMBNAILWilsimaraMacielRochaDissertacao2016.pdf.jpgWilsimaraMacielRochaDissertacao2016.pdf.jpgimage/jpeg4122https://bdtd.ucb.br:8443/jspui/bitstream/tede/2060/4/WilsimaraMacielRochaDissertacao2016.pdf.jpgbbf8519dafb4ee9b0ba0bcfc0d9cc7a6MD54TEXTWilsimaraMacielRochaDissertacao2016.pdf.txtWilsimaraMacielRochaDissertacao2016.pdf.txttext/plain93908https://bdtd.ucb.br:8443/jspui/bitstream/tede/2060/3/WilsimaraMacielRochaDissertacao2016.pdf.txt680ce6eda5e776f4c685dfc268eb9d48MD53ORIGINALWilsimaraMacielRochaDissertacao2016.pdfWilsimaraMacielRochaDissertacao2016.pdfapplication/pdf316272https://bdtd.ucb.br:8443/jspui/bitstream/tede/2060/2/WilsimaraMacielRochaDissertacao2016.pdf24d04b7329ad99104b26b2c8746dd47cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82154https://bdtd.ucb.br:8443/jspui/bitstream/tede/2060/1/license.txt1f6ef65cf2ba831ddd20da69ce6d0834MD51tede/2060oai:bdtd.ucb.br:tede/20602017-04-18 01:02:58.409Biblioteca Digital de Disserta????es da Universidade Cat??lica de Bras??lia - UCBsdi@ucb.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 |
dc.title.por.fl_str_mv |
An??lise de impacto do Fies sobre a renda do trabalhador formal |
title |
An??lise de impacto do Fies sobre a renda do trabalhador formal |
spellingShingle |
An??lise de impacto do Fies sobre a renda do trabalhador formal Rocha, Wilsimara Maciel Financiamento estudantil Ensino superior Educa????o Renda ECONOMIA::ECONOMIA DO BEM-ESTAR SOCIAL |
title_short |
An??lise de impacto do Fies sobre a renda do trabalhador formal |
title_full |
An??lise de impacto do Fies sobre a renda do trabalhador formal |
title_fullStr |
An??lise de impacto do Fies sobre a renda do trabalhador formal |
title_full_unstemmed |
An??lise de impacto do Fies sobre a renda do trabalhador formal |
title_sort |
An??lise de impacto do Fies sobre a renda do trabalhador formal |
author |
Rocha, Wilsimara Maciel |
author_facet |
Rocha, Wilsimara Maciel |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Monasterio, Leonardo Monteiro |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/5320812023944256 |
dc.contributor.advisor-co1.fl_str_mv |
Ehrl, Philipp |
dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/9369923733901266 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/2940229267809901 |
dc.contributor.author.fl_str_mv |
Rocha, Wilsimara Maciel |
contributor_str_mv |
Monasterio, Leonardo Monteiro Ehrl, Philipp |
dc.subject.por.fl_str_mv |
Financiamento estudantil Ensino superior Educa????o Renda |
topic |
Financiamento estudantil Ensino superior Educa????o Renda ECONOMIA::ECONOMIA DO BEM-ESTAR SOCIAL |
dc.subject.cnpq.fl_str_mv |
ECONOMIA::ECONOMIA DO BEM-ESTAR SOCIAL |
dc.description.abstract.eng.fl_txt_mv |
This paper aims to evaluate the effect of the major Student Loan Program of the Federal Government in Brazil, called Fies, on workers??? income in one side and on access to high education. The database used are the Rela????o Anual de Informa????es Sociais ??? RAIS identified by the social security number in 2003 and 2013 and individual - Ministry of Employment and Social Security and beneficiaries of Fies that started and finished high education between 2004 and 2012 and those data came from National Fund for Development of Education ??? FNDE. The methodology applied is the Propensity Score Matching ??? PSM which in this case compares two groups: beneficiaries of Fies, called treated group; and formal workers that were not benefited by Fies, however they have very similar characteristics to those that were. These workers are the controlled group. The results from logistic regression show that likelihood to use Fies increases if the workers have finished high school, are working in specific sectors of activities such as Transformation Industry, Extractive Industry, Construction, Trade, Services and are living in the Northeast region. Contrary, the likelihood to use Fies decreases if the workers are white, living in the Southeast, South or Midwest region and are older. The average treatment effect on treated (ATT) is positive, indicating that Fies contributes to increase workers??? income in around 20% and it has also contributed to increase access to high education. Finally, the T-test shows that distribution of covariates is balanced and the nearest neighbor matching was effective in getting the counterfactual very similar to the treated group. |
dc.description.abstract.por.fl_txt_mv |
O objetivo deste trabalho ?? avaliar o efeito do Programa de Financiamento Estudantil (Fies) sobre a renda do trabalhador de um lado e sobre o n??vel de acesso ao ensino superior, de outro. Os dados usados s??o a Rela????o Anual de Informa????es Sociais ??? RAIS do Minist??rio do Trabalho e Previd??ncia Social ??? MTPS de 2003 e 2013 e os dados dos indiv??duos que iniciaram e terminaram o n??vel superior com o Fies entre 2004 e 2012, disponibilizados pelo Fundo Nacional de Desenvolvimento da Educa????o ??? FNDE. A metodologia escolhida ?? a t??cnica do Propensity Score Matching (PSM) que compara dois grupos: pessoas que foram beneficiadas pelo Fies e formam o grupo tratado e pessoas que n??o foram beneficiadas pelo Fies, mas s??o estatisticamente muito parecidas com as pessoas que foram e formam o contrafactual. O resultado da regress??o log??stica indica que a probabilidade de usar o Fies aumenta se o indiv??duo possui n??vel m??dio completo, se trabalha na ind??stria de transforma????o, ind??stria extrativa, constru????o, no setor de com??rcio, servi??os e moram na regi??o Nordeste. A probabilidade diminui se o trabalhador ?? da cor branca, trabalha nas regi??es Sudeste, Sul ou Centro-Oeste e quanto maior a idade. O efeito m??dio do tratamento sobre os tratados (ATT) ?? positivo, indicando que o sal??rio mensal de quem usou o Fies ?? cerca de 20% maior que o sal??rio de quem n??o usou e n??o concluiu o ensino superior. Por fim, o teste-t mostra que a distribui????o das covariadas usadas no modelo ?? equilibrada e que o algoritmo de pareamento (nearest neighbour) foi eficaz em obter um contrafactual muito similar ao grupo tratado. |
description |
This paper aims to evaluate the effect of the major Student Loan Program of the Federal Government in Brazil, called Fies, on workers??? income in one side and on access to high education. The database used are the Rela????o Anual de Informa????es Sociais ??? RAIS identified by the social security number in 2003 and 2013 and individual - Ministry of Employment and Social Security and beneficiaries of Fies that started and finished high education between 2004 and 2012 and those data came from National Fund for Development of Education ??? FNDE. The methodology applied is the Propensity Score Matching ??? PSM which in this case compares two groups: beneficiaries of Fies, called treated group; and formal workers that were not benefited by Fies, however they have very similar characteristics to those that were. These workers are the controlled group. The results from logistic regression show that likelihood to use Fies increases if the workers have finished high school, are working in specific sectors of activities such as Transformation Industry, Extractive Industry, Construction, Trade, Services and are living in the Northeast region. Contrary, the likelihood to use Fies decreases if the workers are white, living in the Southeast, South or Midwest region and are older. The average treatment effect on treated (ATT) is positive, indicating that Fies contributes to increase workers??? income in around 20% and it has also contributed to increase access to high education. Finally, the T-test shows that distribution of covariates is balanced and the nearest neighbor matching was effective in getting the counterfactual very similar to the treated group. |
publishDate |
2016 |
dc.date.issued.fl_str_mv |
2016-03-09 |
dc.date.accessioned.fl_str_mv |
2017-04-17T13:46:16Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
status_str |
publishedVersion |
format |
masterThesis |
dc.identifier.citation.fl_str_mv |
ROCHA, Wilsimara Maciel. An??lise de impacto do Fies sobre a renda do trabalhador formal. 2016. 49 f. Disserta????o (Programa Strictu Sensu em Economia de Empresas) - Universidade Cat??lica de Bras??lia, Bras??lia, 2016. |
dc.identifier.uri.fl_str_mv |
https://bdtd.ucb.br:8443/jspui/handle/tede/2060 |
identifier_str_mv |
ROCHA, Wilsimara Maciel. An??lise de impacto do Fies sobre a renda do trabalhador formal. 2016. 49 f. Disserta????o (Programa Strictu Sensu em Economia de Empresas) - Universidade Cat??lica de Bras??lia, Bras??lia, 2016. |
url |
https://bdtd.ucb.br:8443/jspui/handle/tede/2060 |
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por |
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por |
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500 500 600 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Universidade Cat??lica de Bras??lia |
dc.publisher.program.fl_str_mv |
Programa Strictu Sensu em Economia de Empresas |
dc.publisher.initials.fl_str_mv |
UCB |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Escola de Gest??o e Neg??cios |
publisher.none.fl_str_mv |
Universidade Cat??lica de Bras??lia |
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MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Biblioteca Digital de Disserta????es da Universidade Cat??lica de Bras??lia - UCB |
repository.mail.fl_str_mv |
sdi@ucb.br |
_version_ |
1643299647149572096 |