An??lise de impacto do Fies sobre a renda do trabalhador formal
Autor: | Rocha, Wilsimara Maciel |
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Jazyk: | portugalština |
Rok vydání: | 2016 |
Předmět: | |
Zdroj: | Biblioteca Digital de Teses e Dissertações da UCBUniversidade Católica de BrasíliaUCB. |
Druh dokumentu: | masterThesis |
Popis: | 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: 2016-03-09 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. 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. |
Databáze: | Networked Digital Library of Theses & Dissertations |
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