Impacts of Bolsa Família program in the labor market and income of rural workers

Detalhes bibliográficos
Autor(a) principal: Costa, Rayssa Alexandre
Data de Publicação: 2017
Outros Autores: Costa, Edward Martins, Mariano, Francisca Zilania, Cavalcanti, Daniella Medeiros
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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spelling 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
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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
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