Housing and sanitation-related diseases
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Economia Aplicada |
Texto Completo: | https://www.revistas.usp.br/ecoa/article/view/164754 |
Resumo: | Housing and health-related issues are typical concerns of developing countries since their consequences usually lead to deadly diseases. Hence, in order to improve the assertiveness of public policies, minimize the divergence between actions proposed by different studies and contribute to mitigate those issues, this paper seeks to understand the relative impacts of the proposed policies as well as their efficiency. Thus, this paper evaluates the Brazilian Rental Housing Program (RHP) using a regression discontinuity design (RDD) model, a strategy that is strengthened by the performance of robustness tests. As a result, we verified that RHP was able to reduce deaths from sanitation-related diseases by up to 11% and that this effect increases over time. |
id |
USP-21_e249d6a68ea94aee3082aa75be5f5d40 |
---|---|
oai_identifier_str |
oai:revistas.usp.br:article/164754 |
network_acronym_str |
USP-21 |
network_name_str |
Economia Aplicada |
repository_id_str |
|
spelling |
Housing and sanitation-related diseaseshousingrental housing progrrammortgage loansanitation-related diseasesregression discontinuity designhabitaçãoprograma de arrendamento residencialfinanciamento habitacionaldoenças sanitáriasdesenho de regressão descontínuaHousing and health-related issues are typical concerns of developing countries since their consequences usually lead to deadly diseases. Hence, in order to improve the assertiveness of public policies, minimize the divergence between actions proposed by different studies and contribute to mitigate those issues, this paper seeks to understand the relative impacts of the proposed policies as well as their efficiency. Thus, this paper evaluates the Brazilian Rental Housing Program (RHP) using a regression discontinuity design (RDD) model, a strategy that is strengthened by the performance of robustness tests. As a result, we verified that RHP was able to reduce deaths from sanitation-related diseases by up to 11% and that this effect increases over time.As questões de moradia e saúde são preocupações típicas dos países em desenvolvimento, uma vez que suas consequências geralmente levam a doenças mortais. Assim, com o objetivo de melhorar a assertividade das políticas públicas, minimizar as divergências entre as ações propostas pelos diferentes estudos e contribuir para mitigar essas questões, este artigo busca compreender os impactos relativos das políticas propostas, bem como sua eficiência. Para isso, avaliamos o Programa de Arrendamento Residencial (PAR) por meio de um desenho de regressão descontínua (RDD), estratégia que é fortalecida pela realização de testes de robustez. Como resultado, verificamos que o PAR foi capaz de reduzir asmortes por doenças relacionadas ao saneamento em até 11% e que esse efeito aumenta com o tempo.Universidade de São Paulo, FEA-RP/USP2020-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/ecoa/article/view/16475410.11606/1980-5330/ea164754Economia Aplicada; Vol. 24 No. 4 (2020); 487-508Economia Aplicada; Vol. 24 Núm. 4 (2020); 487-508Economia Aplicada; v. 24 n. 4 (2020); 487-5081980-53301413-8050reponame:Economia Aplicadainstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/ecoa/article/view/164754/169895Copyright (c) 2020 Economia Aplicadahttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessNishimura, Fabio Nobuo2021-03-16T06:40:00Zoai:revistas.usp.br:article/164754Revistahttps://www.revistas.usp.br/ecoaPUBhttps://www.revistas.usp.br/ecoa/oai||revecap@usp.br1980-53301413-8050opendoar:2023-09-13T12:17:14.443495Economia Aplicada - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Housing and sanitation-related diseases |
title |
Housing and sanitation-related diseases |
spellingShingle |
Housing and sanitation-related diseases Nishimura, Fabio Nobuo housing rental housing progrram mortgage loan sanitation-related diseases regression discontinuity design habitação programa de arrendamento residencial financiamento habitacional doenças sanitárias desenho de regressão descontínua |
title_short |
Housing and sanitation-related diseases |
title_full |
Housing and sanitation-related diseases |
title_fullStr |
Housing and sanitation-related diseases |
title_full_unstemmed |
Housing and sanitation-related diseases |
title_sort |
Housing and sanitation-related diseases |
author |
Nishimura, Fabio Nobuo |
author_facet |
Nishimura, Fabio Nobuo |
author_role |
author |
dc.contributor.author.fl_str_mv |
Nishimura, Fabio Nobuo |
dc.subject.por.fl_str_mv |
housing rental housing progrram mortgage loan sanitation-related diseases regression discontinuity design habitação programa de arrendamento residencial financiamento habitacional doenças sanitárias desenho de regressão descontínua |
topic |
housing rental housing progrram mortgage loan sanitation-related diseases regression discontinuity design habitação programa de arrendamento residencial financiamento habitacional doenças sanitárias desenho de regressão descontínua |
description |
Housing and health-related issues are typical concerns of developing countries since their consequences usually lead to deadly diseases. Hence, in order to improve the assertiveness of public policies, minimize the divergence between actions proposed by different studies and contribute to mitigate those issues, this paper seeks to understand the relative impacts of the proposed policies as well as their efficiency. Thus, this paper evaluates the Brazilian Rental Housing Program (RHP) using a regression discontinuity design (RDD) model, a strategy that is strengthened by the performance of robustness tests. As a result, we verified that RHP was able to reduce deaths from sanitation-related diseases by up to 11% and that this effect increases over time. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-01 |
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://www.revistas.usp.br/ecoa/article/view/164754 10.11606/1980-5330/ea164754 |
url |
https://www.revistas.usp.br/ecoa/article/view/164754 |
identifier_str_mv |
10.11606/1980-5330/ea164754 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/ecoa/article/view/164754/169895 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Economia Aplicada http://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Economia Aplicada http://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo, FEA-RP/USP |
publisher.none.fl_str_mv |
Universidade de São Paulo, FEA-RP/USP |
dc.source.none.fl_str_mv |
Economia Aplicada; Vol. 24 No. 4 (2020); 487-508 Economia Aplicada; Vol. 24 Núm. 4 (2020); 487-508 Economia Aplicada; v. 24 n. 4 (2020); 487-508 1980-5330 1413-8050 reponame:Economia Aplicada instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Economia Aplicada |
collection |
Economia Aplicada |
repository.name.fl_str_mv |
Economia Aplicada - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
||revecap@usp.br |
_version_ |
1800221695988989952 |