EFFECT OF HOUSING ON INFANT MORTALITY: EVIDENCE OF A REGRESSION DISCONTINUITY DESIGN
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Análise Econômica (Online) |
Texto Completo: | https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/81890 |
Resumo: | In 2001, the Federal Government created the Residential Leasing Program(RLP), which included 340 of the 5,570 municipalities that have at least 100,000 inhabitantswith the priority to reduce the housing deficit. Theoretical studies in housing andhealth indicate that actions related to the construction quality of housing for the population,and reduce part of the housing deficit also promote a reduction in infant mortality.However, some of these theoretical studies are lacking in a more rigorous statistical instrumentand which are statistically more consistent results. The present study examinedthe effect of RLP on infant mortality and how empirical strategy was used the regressiondiscontinuity design model controlling for possible endogeneity problems and ensuresstatistically biased answers. The results showed that the RLP can reduce child deaths inthe year of its inception as well as for the subsequent three years. Still, to ensure our results,robustness tests were applied which signaled that our model is well specified. |
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EFFECT OF HOUSING ON INFANT MORTALITY: EVIDENCE OF A REGRESSION DISCONTINUITY DESIGNEFEITO DA HABITAÇÃO SOBRE A MORTALIDADE INFANTIL: Evidências de um Desenho de Regressão DescontínuaResidential leasing programChild mortalityRegression Discontinuity DesignPrograma de Arrendamento ResidencialMortalidade InfantilDesenho de Regressão DescontínuaI20I28J28In 2001, the Federal Government created the Residential Leasing Program(RLP), which included 340 of the 5,570 municipalities that have at least 100,000 inhabitantswith the priority to reduce the housing deficit. Theoretical studies in housing andhealth indicate that actions related to the construction quality of housing for the population,and reduce part of the housing deficit also promote a reduction in infant mortality.However, some of these theoretical studies are lacking in a more rigorous statistical instrumentand which are statistically more consistent results. The present study examinedthe effect of RLP on infant mortality and how empirical strategy was used the regressiondiscontinuity design model controlling for possible endogeneity problems and ensuresstatistically biased answers. The results showed that the RLP can reduce child deaths inthe year of its inception as well as for the subsequent three years. Still, to ensure our results,robustness tests were applied which signaled that our model is well specified.Em 2001, o Governo Federal criou o “Programa de Arrendamento Residencial” (PAR), onde contemplou 340 dos 5.570 municípios que possuem pelo menos 100.000 habitantes com a prioridade de reduzir o déficit habitacional. Estudos teóricos na área habitacional e na área da saúde indicam que ações ligadas à construção de moradias de qualidade para a população, além de reduzirem parte do déficit habitacional, também promovem uma redução da mortalidade infantil. Porém, alguns destes estudos teóricos são carentes de um instrumental estatístico mais rigoroso e que apresentem resultados estatisticamente mais consistentes. Assim, o presente trabalho analisou o efeito do PAR sobre a mortalidade infantil e como estratégia empírica foi utilizada o modelo de Regressão Descontínua que controla para possíveis problemas de endogeneidade e nos garante respostas estatisticamente não viesadas. Os resultados apontaram que o PAR consegue reduzir as mortes infantis no ano de seu início como também para os três anos subsequentes. Ainda, para garantir nossos resultados, foram aplicados testes de robustez que sinalizaram que nosso modelo está bem especificado.UFRGS2020-06-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/8189010.22456/2176-5456.81890Análise Econômica; Vol. 38 No. 76 (2020): Junho/2020Análise Econômica; v. 38 n. 76 (2020): Junho/20202176-54560102-9924reponame:Análise Econômica (Online)instname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSporhttps://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/81890/57388Copyright (c) 2020 Análise Econômicainfo:eu-repo/semantics/openAccessNishimura, Fábio2020-06-28T18:56:07Zoai:seer.ufrgs.br:article/81890Revistahttps://seer.ufrgs.br/index.php/AnaliseEconomicaPUBhttps://seer.ufrgs.br/index.php/AnaliseEconomica/oai||rae@ufrgs.br2176-54560102-9924opendoar:2020-06-28T18:56:07Análise Econômica (Online) - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.none.fl_str_mv |
EFFECT OF HOUSING ON INFANT MORTALITY: EVIDENCE OF A REGRESSION DISCONTINUITY DESIGN EFEITO DA HABITAÇÃO SOBRE A MORTALIDADE INFANTIL: Evidências de um Desenho de Regressão Descontínua |
title |
EFFECT OF HOUSING ON INFANT MORTALITY: EVIDENCE OF A REGRESSION DISCONTINUITY DESIGN |
spellingShingle |
EFFECT OF HOUSING ON INFANT MORTALITY: EVIDENCE OF A REGRESSION DISCONTINUITY DESIGN Nishimura, Fábio Residential leasing program Child mortality Regression Discontinuity Design Programa de Arrendamento Residencial Mortalidade Infantil Desenho de Regressão Descontínua I20 I28 J28 |
title_short |
EFFECT OF HOUSING ON INFANT MORTALITY: EVIDENCE OF A REGRESSION DISCONTINUITY DESIGN |
title_full |
EFFECT OF HOUSING ON INFANT MORTALITY: EVIDENCE OF A REGRESSION DISCONTINUITY DESIGN |
title_fullStr |
EFFECT OF HOUSING ON INFANT MORTALITY: EVIDENCE OF A REGRESSION DISCONTINUITY DESIGN |
title_full_unstemmed |
EFFECT OF HOUSING ON INFANT MORTALITY: EVIDENCE OF A REGRESSION DISCONTINUITY DESIGN |
title_sort |
EFFECT OF HOUSING ON INFANT MORTALITY: EVIDENCE OF A REGRESSION DISCONTINUITY DESIGN |
author |
Nishimura, Fábio |
author_facet |
Nishimura, Fábio |
author_role |
author |
dc.contributor.author.fl_str_mv |
Nishimura, Fábio |
dc.subject.por.fl_str_mv |
Residential leasing program Child mortality Regression Discontinuity Design Programa de Arrendamento Residencial Mortalidade Infantil Desenho de Regressão Descontínua I20 I28 J28 |
topic |
Residential leasing program Child mortality Regression Discontinuity Design Programa de Arrendamento Residencial Mortalidade Infantil Desenho de Regressão Descontínua I20 I28 J28 |
description |
In 2001, the Federal Government created the Residential Leasing Program(RLP), which included 340 of the 5,570 municipalities that have at least 100,000 inhabitantswith the priority to reduce the housing deficit. Theoretical studies in housing andhealth indicate that actions related to the construction quality of housing for the population,and reduce part of the housing deficit also promote a reduction in infant mortality.However, some of these theoretical studies are lacking in a more rigorous statistical instrumentand which are statistically more consistent results. The present study examinedthe effect of RLP on infant mortality and how empirical strategy was used the regressiondiscontinuity design model controlling for possible endogeneity problems and ensuresstatistically biased answers. The results showed that the RLP can reduce child deaths inthe year of its inception as well as for the subsequent three years. Still, to ensure our results,robustness tests were applied which signaled that our model is well specified. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-06-27 |
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://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/81890 10.22456/2176-5456.81890 |
url |
https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/81890 |
identifier_str_mv |
10.22456/2176-5456.81890 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/81890/57388 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Análise Econômica info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Análise Econômica |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
UFRGS |
publisher.none.fl_str_mv |
UFRGS |
dc.source.none.fl_str_mv |
Análise Econômica; Vol. 38 No. 76 (2020): Junho/2020 Análise Econômica; v. 38 n. 76 (2020): Junho/2020 2176-5456 0102-9924 reponame:Análise Econômica (Online) instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
instname_str |
Universidade Federal do Rio Grande do Sul (UFRGS) |
instacron_str |
UFRGS |
institution |
UFRGS |
reponame_str |
Análise Econômica (Online) |
collection |
Análise Econômica (Online) |
repository.name.fl_str_mv |
Análise Econômica (Online) - Universidade Federal do Rio Grande do Sul (UFRGS) |
repository.mail.fl_str_mv |
||rae@ufrgs.br |
_version_ |
1799766268385951744 |