The effects of the Emergency Assistance Program on COVID-19 indicators: an analysis by Propensity Score Matching
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Economia Ensaios |
Texto Completo: | https://seer.ufu.br/index.php/revistaeconomiaensaios/article/view/65333 |
Resumo: | The article’s goal is to evaluate the effectiveness of the Emergency Aid Program (PAE) in reducing the likelihood of individuals having related symptoms or testing positive for Covid-19. The hypothesis tested is that people who received Emergency Aid were able to reduce circulation and maintain a higher degree of social isolation, and therefore were less likely to have related symptoms and/or test positive. The methodology adopted was the Propensity Score Matching (PSM) models, with data from the PNAD-COVID19 (IBGE) survey from May to December 2020. The results found confirm the hypothesis of this work. |
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The effects of the Emergency Assistance Program on COVID-19 indicators: an analysis by Propensity Score MatchingOs efeitos do Programa Auxílio Emergencial sobre os indicadores da COVID-19: uma análise por Propensity Score MatchingPolítica PúblicaAuxílio EmergencialPropensity Score MatchingCovid-19Public PolicyEmergency AssistancePropensity Score MatchingCovid-19The article’s goal is to evaluate the effectiveness of the Emergency Aid Program (PAE) in reducing the likelihood of individuals having related symptoms or testing positive for Covid-19. The hypothesis tested is that people who received Emergency Aid were able to reduce circulation and maintain a higher degree of social isolation, and therefore were less likely to have related symptoms and/or test positive. The methodology adopted was the Propensity Score Matching (PSM) models, with data from the PNAD-COVID19 (IBGE) survey from May to December 2020. The results found confirm the hypothesis of this work.O objetivo do artigo é avaliar a eficácia do Programa Auxílio Emergencial (PAE) na redução da probabilidade de os indivíduos apresentarem sintomas relacionados ou testarem positivo para Covid-19. A hipótese testada é que pessoas que receberam Auxílio Emergencial puderam reduzir a circulação e manter um grau mais alto de isolamento social, e por isso tiveram menor propensão a apresentar sintomas relacionados e ou testarem positivo. A metodologia adotada foram os modelos de Pareamento por Escore de Propensão (PSM), com dados da pesquisa PNAD-COVID19 (IBGE) do período de maio a dezembro de 2020. Os resultados encontrados confirmam a hipótese deste trabalho.EDUFU2023-09-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/revistaeconomiaensaios/article/view/6533310.14393/REE-v38n2a2023-65333Revista Economia Ensaios; Vol. 38 No. 2 (2023)Revista Economia Ensaios; v. 38 n. 2 (2023)1983-19940102-2482reponame:Economia Ensaiosinstname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/revistaeconomiaensaios/article/view/65333/36844Copyright (c) 2023 Revista Economia Ensaiosinfo:eu-repo/semantics/openAccessCaetano de Sousa Junior, ValdecyRodrigues de Oliveira, RaphaelGiomo, Danniele2024-02-07T19:42:43Zoai:ojs.www.seer.ufu.br:article/65333Revistahttps://seer.ufu.br/index.php/revistaeconomiaensaiosPUBhttps://seer.ufu.br/index.php/revistaeconomiaensaios/oai||ecoensaios@ufu.br|| ecoensaios@ufu.br1983-19940102-2482opendoar:2024-02-07T19:42:43Economia Ensaios - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
The effects of the Emergency Assistance Program on COVID-19 indicators: an analysis by Propensity Score Matching Os efeitos do Programa Auxílio Emergencial sobre os indicadores da COVID-19: uma análise por Propensity Score Matching |
title |
The effects of the Emergency Assistance Program on COVID-19 indicators: an analysis by Propensity Score Matching |
spellingShingle |
The effects of the Emergency Assistance Program on COVID-19 indicators: an analysis by Propensity Score Matching Caetano de Sousa Junior, Valdecy Política Pública Auxílio Emergencial Propensity Score Matching Covid-19 Public Policy Emergency Assistance Propensity Score Matching Covid-19 |
title_short |
The effects of the Emergency Assistance Program on COVID-19 indicators: an analysis by Propensity Score Matching |
title_full |
The effects of the Emergency Assistance Program on COVID-19 indicators: an analysis by Propensity Score Matching |
title_fullStr |
The effects of the Emergency Assistance Program on COVID-19 indicators: an analysis by Propensity Score Matching |
title_full_unstemmed |
The effects of the Emergency Assistance Program on COVID-19 indicators: an analysis by Propensity Score Matching |
title_sort |
The effects of the Emergency Assistance Program on COVID-19 indicators: an analysis by Propensity Score Matching |
author |
Caetano de Sousa Junior, Valdecy |
author_facet |
Caetano de Sousa Junior, Valdecy Rodrigues de Oliveira, Raphael Giomo, Danniele |
author_role |
author |
author2 |
Rodrigues de Oliveira, Raphael Giomo, Danniele |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Caetano de Sousa Junior, Valdecy Rodrigues de Oliveira, Raphael Giomo, Danniele |
dc.subject.por.fl_str_mv |
Política Pública Auxílio Emergencial Propensity Score Matching Covid-19 Public Policy Emergency Assistance Propensity Score Matching Covid-19 |
topic |
Política Pública Auxílio Emergencial Propensity Score Matching Covid-19 Public Policy Emergency Assistance Propensity Score Matching Covid-19 |
description |
The article’s goal is to evaluate the effectiveness of the Emergency Aid Program (PAE) in reducing the likelihood of individuals having related symptoms or testing positive for Covid-19. The hypothesis tested is that people who received Emergency Aid were able to reduce circulation and maintain a higher degree of social isolation, and therefore were less likely to have related symptoms and/or test positive. The methodology adopted was the Propensity Score Matching (PSM) models, with data from the PNAD-COVID19 (IBGE) survey from May to December 2020. The results found confirm the hypothesis of this work. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-09-21 |
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.ufu.br/index.php/revistaeconomiaensaios/article/view/65333 10.14393/REE-v38n2a2023-65333 |
url |
https://seer.ufu.br/index.php/revistaeconomiaensaios/article/view/65333 |
identifier_str_mv |
10.14393/REE-v38n2a2023-65333 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/revistaeconomiaensaios/article/view/65333/36844 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Revista Economia Ensaios info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Revista Economia Ensaios |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
EDUFU |
publisher.none.fl_str_mv |
EDUFU |
dc.source.none.fl_str_mv |
Revista Economia Ensaios; Vol. 38 No. 2 (2023) Revista Economia Ensaios; v. 38 n. 2 (2023) 1983-1994 0102-2482 reponame:Economia Ensaios instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Economia Ensaios |
collection |
Economia Ensaios |
repository.name.fl_str_mv |
Economia Ensaios - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
||ecoensaios@ufu.br|| ecoensaios@ufu.br |
_version_ |
1799944249942212608 |