Impacts of Bolsa Família program in the labor market and income of rural workers
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Nova Economia (Online) |
Texto Completo: | https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/3289 |
Resumo: | This study evaluates the effects of the Bolsa Família Program (PBF) in the labor market of poor families living in rural areas of Brazil. For the analysis, we used the Census (2010) and two methodologies: Balancing Entropy Quantílico and treatment effect (EQT), checking the average effect and throughout the distribution, respectively. To improve the balance between the treated group and control was applied CEM algorithm developed by Iacus, King, and Porro (2009). Thus, combined with the CEM balancing entropy to determine the Average Treatment Effect on Treaties (ATT). As a result, it was observed that in Brazil and regions, the working hours of the beneficiaries is lower than that of non-beneficiaries, as well as labor income. The effects on distribution, for most quantile the effect is null, however, in some quantile, beneficiaries have fewer working hours than non beneficiaries. Therefore, the results in the average indicated a possible "disincentive effect" of the program on the hours worked, causing a decrease in household income from work. On the other hand, the analysis by quantile can not say the same, as the results of the effects on hours worked were different. |
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Impacts of Bolsa Família program in the labor market and income of rural workersImpactos do Programa Bolsa Família no mercado de trabalho e na renda dos trabalhadores ruraisThis study evaluates the effects of the Bolsa Família Program (PBF) in the labor market of poor families living in rural areas of Brazil. For the analysis, we used the Census (2010) and two methodologies: Balancing Entropy Quantílico and treatment effect (EQT), checking the average effect and throughout the distribution, respectively. To improve the balance between the treated group and control was applied CEM algorithm developed by Iacus, King, and Porro (2009). Thus, combined with the CEM balancing entropy to determine the Average Treatment Effect on Treaties (ATT). As a result, it was observed that in Brazil and regions, the working hours of the beneficiaries is lower than that of non-beneficiaries, as well as labor income. The effects on distribution, for most quantile the effect is null, however, in some quantile, beneficiaries have fewer working hours than non beneficiaries. Therefore, the results in the average indicated a possible "disincentive effect" of the program on the hours worked, causing a decrease in household income from work. On the other hand, the analysis by quantile can not say the same, as the results of the effects on hours worked were different.O presente estudo avalia os efeitos do Programa Bolsa Família (PBF) no mercado de trabalho das famílias pobres que residem em áreas rurais do Brasil. Para a análise, foi utilizado o Censo Demográfico (2010) e duas metodologias: Balanceamento por Entropia e Efeito Quantílico de Tratamento (EQT), que verificam o efeito médio e ao longo da distribuição, respectivamente. Visando melhorar o equilíbrio entre o grupo de tratados e controle foi aplicado o algoritmo CEM, desenvolvido por Iacus, King e Porro (2009). Dessa forma, combinou-se o CEM com o balanceamento por entropia para determinar o Efeito Médio de Tratamento sobre os Tratados (ATT). Como resultado, observou-se que no Brasil e regiões as horas trabalhadas dos beneficiários são menores que a dos não beneficiários, assim como a renda do trabalho. Quanto aos efeitos na distribuição, para a maioria dos quantis o efeito é nulo, entretanto, em alguns quantis, os beneficiários possuem menos horas trabalhadas que os não beneficiários. Portanto, os resultados na média indicaram um possível “efeito desincentivo” do programa sobre as horas trabalhadas, ocasionando uma redução na renda das famílias proveniente do trabalho. Por outro lado, na análise por quantis não se pode afirmar o mesmo, visto que os resultados dos efeitos nas horas trabalhadas foram distintos.Departamento de Ciências Econômicas da UFMG2017-01-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.face.ufmg.br/index.php/novaeconomia/article/view/3289Nova Economia; Vol. 28 No. 2 (2018)Nova Economia; v. 28 n. 2 (2018)1980-53810103-6351reponame:Nova Economia (Online)instname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGporhttps://revistas.face.ufmg.br/index.php/novaeconomia/article/view/3289/2769Costa, Rayssa AlexandreCosta, Edward MartinsMariano, Francisca ZilaniaCavalcanti, Daniella Medeirosinfo:eu-repo/semantics/openAccess2020-10-04T22:24:35Zoai:ojs.pkp.sfu.ca:article/3289Revistahttps://revistas.face.ufmg.br/index.php/novaeconomiaPUBhttps://revistas.face.ufmg.br/index.php/novaeconomia/oai||ne@face.ufmg.br1980-53810103-6351opendoar:2020-10-04T22:24:35Nova Economia (Online) - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.none.fl_str_mv |
Impacts of Bolsa Família program in the labor market and income of rural workers Impactos do Programa Bolsa Família no mercado de trabalho e na renda dos trabalhadores rurais |
title |
Impacts of Bolsa Família program in the labor market and income of rural workers |
spellingShingle |
Impacts of Bolsa Família program in the labor market and income of rural workers Costa, Rayssa Alexandre |
title_short |
Impacts of Bolsa Família program in the labor market and income of rural workers |
title_full |
Impacts of Bolsa Família program in the labor market and income of rural workers |
title_fullStr |
Impacts of Bolsa Família program in the labor market and income of rural workers |
title_full_unstemmed |
Impacts of Bolsa Família program in the labor market and income of rural workers |
title_sort |
Impacts of Bolsa Família program in the labor market and income of rural workers |
author |
Costa, Rayssa Alexandre |
author_facet |
Costa, Rayssa Alexandre Costa, Edward Martins Mariano, Francisca Zilania Cavalcanti, Daniella Medeiros |
author_role |
author |
author2 |
Costa, Edward Martins Mariano, Francisca Zilania Cavalcanti, Daniella Medeiros |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Costa, Rayssa Alexandre Costa, Edward Martins Mariano, Francisca Zilania Cavalcanti, Daniella Medeiros |
description |
This study evaluates the effects of the Bolsa Família Program (PBF) in the labor market of poor families living in rural areas of Brazil. For the analysis, we used the Census (2010) and two methodologies: Balancing Entropy Quantílico and treatment effect (EQT), checking the average effect and throughout the distribution, respectively. To improve the balance between the treated group and control was applied CEM algorithm developed by Iacus, King, and Porro (2009). Thus, combined with the CEM balancing entropy to determine the Average Treatment Effect on Treaties (ATT). As a result, it was observed that in Brazil and regions, the working hours of the beneficiaries is lower than that of non-beneficiaries, as well as labor income. The effects on distribution, for most quantile the effect is null, however, in some quantile, beneficiaries have fewer working hours than non beneficiaries. Therefore, the results in the average indicated a possible "disincentive effect" of the program on the hours worked, causing a decrease in household income from work. On the other hand, the analysis by quantile can not say the same, as the results of the effects on hours worked were different. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-16 |
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://revistas.face.ufmg.br/index.php/novaeconomia/article/view/3289 |
url |
https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/3289 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/3289/2769 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Departamento de Ciências Econômicas da UFMG |
publisher.none.fl_str_mv |
Departamento de Ciências Econômicas da UFMG |
dc.source.none.fl_str_mv |
Nova Economia; Vol. 28 No. 2 (2018) Nova Economia; v. 28 n. 2 (2018) 1980-5381 0103-6351 reponame:Nova Economia (Online) instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
instname_str |
Universidade Federal de Minas Gerais (UFMG) |
instacron_str |
UFMG |
institution |
UFMG |
reponame_str |
Nova Economia (Online) |
collection |
Nova Economia (Online) |
repository.name.fl_str_mv |
Nova Economia (Online) - Universidade Federal de Minas Gerais (UFMG) |
repository.mail.fl_str_mv |
||ne@face.ufmg.br |
_version_ |
1799711059311853568 |