An??lise de impacto do Fies sobre a renda do trabalhador formal

Detalhes bibliográficos
Ano de defesa: 2016
Autor(a) principal: Rocha, Wilsimara Maciel lattes
Orientador(a): Monasterio, Leonardo Monteiro lattes
Banca de defesa: Não Informado pela instituição
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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spelling 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). 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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
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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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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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