SUICIDES IN THE BRAZILIAN MUNICIPALITIES: A SPATIAL APPROACH FOR CENSORED DATA
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Análise Econômica (Online) |
Texto Completo: | https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/93655 |
Resumo: | Suicide is recognized internationally as a public health problem that ranksamong the ten most frequent causes of death among the general population, surpassingthe number of deaths from armed conflict. In Brazil, according to data from the Mortality Information System, for each registered suicide, it is estimated that there are over twenty attempts not reported. Under-registration, coupled with rarity and the inherentcharacteristics of its distribution, makes the phenomenon even more complex, especially in the Brazilian context, where the continental dimensions carry socioeconomicand cultural heterogeneities. In order to verify the influence of socioeconomic factorsin the presence of spatial interactions, a spatially distributed Tobit model is applied tomunicipal data of 2010. The empirical approach adopted represents an important advance in the literature, since, besides considering the spatial autocorrelation a level ofaggregation that hitherto was not common to those surveyed regarding suicide, alsooffers a treatment for censored variables. The main results corroborate previous studiesabout the significant influence of socioeconomic factors and confirm spatial multipliereffects, consistent with the Durkheimian postulates about the contagious effect. Therefore, it is desirable that public policies to contain and prevent suicide take into accountnot only socioeconomic and demographic aspects, but also the territorial distribution ofoccurrences and the spatial interaction between them. |
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SUICIDES IN THE BRAZILIAN MUNICIPALITIES: A SPATIAL APPROACH FOR CENSORED DATASUICÍDIOS NOS MUNICÍPIOS BRASILEIROS: UMA ABORDAGEM ESPACIAL PARA DADOS CENSURADOSsuicidespatial econometricstobitBrazilian municipalitiesI12C21C24SuicídioEconometria EspacialTobitMunicípios Brasileiros.I12C21C24Suicide is recognized internationally as a public health problem that ranksamong the ten most frequent causes of death among the general population, surpassingthe number of deaths from armed conflict. In Brazil, according to data from the Mortality Information System, for each registered suicide, it is estimated that there are over twenty attempts not reported. Under-registration, coupled with rarity and the inherentcharacteristics of its distribution, makes the phenomenon even more complex, especially in the Brazilian context, where the continental dimensions carry socioeconomicand cultural heterogeneities. In order to verify the influence of socioeconomic factorsin the presence of spatial interactions, a spatially distributed Tobit model is applied tomunicipal data of 2010. The empirical approach adopted represents an important advance in the literature, since, besides considering the spatial autocorrelation a level ofaggregation that hitherto was not common to those surveyed regarding suicide, alsooffers a treatment for censored variables. The main results corroborate previous studiesabout the significant influence of socioeconomic factors and confirm spatial multipliereffects, consistent with the Durkheimian postulates about the contagious effect. Therefore, it is desirable that public policies to contain and prevent suicide take into accountnot only socioeconomic and demographic aspects, but also the territorial distribution ofoccurrences and the spatial interaction between them.O suicídio é reconhecido internacionalmente como um problema de saúdepública que figura entre as dez causas de mortes mais frequentes entre a populaçãoem geral, superando a quantidade de mortes por conflitos armados. No Brasil, segundo dados do Sistema de Informações de Mortalidade, para cada suicídio registrado,estima-se que existem mais de 20 tentativas não reportadas. O sub-registro, aliado àraridade e às características inerentes a sua distribuição, torna o fenômeno ainda maiscomplexo, especialmente no contexto brasileiro, em que as dimensões continentaiscomportam heterogeneidades socioeconômicas e culturais. No intuito de verificar a influência de fatores socioeconômicos na presença de interações espaciais, utiliza-se ummodelo tobit espacialmente defasado aplicado a dados municipais de 2010. A abordagem empírica adotada representa um importante avanço na literatura, já que, alémde considerar a autocorrelação espacial a um nível de agregação que, até então, nãoera comum às pesquisas a respeito do suicídio, também oferece um tratamento paravariáveis censuradas. Os principais resultados corroboram estudos anteriores acercada influência significativa dos fatores socioeconômicos e confirmam efeitos multiplicadores espaciais, consistentes com os postulados durkheimianos sobre o efeito-contágio.Portanto, é desejável que políticas públicas para contenção e prevenção do suicídiolevem em consideração não só aspectos socioeconômicos e demográficos, como também a distribuição territorial das ocorrências e a interação espacial existente entre elas.UFRGS2021-09-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/9365510.22456/2176-5456.93655Análise Econômica; Vol. 39 No. 80 (2021): Setembro/2021Análise Econômica; v. 39 n. 80 (2021): Setembro/20212176-54560102-9924reponame:Análise Econômica (Online)instname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSporhttps://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/93655/65027Copyright (c) 2021 Análise Econômicainfo:eu-repo/semantics/openAccessAlvarenga, Samia MercadoJorge, Marco AntonioMaia do Amaral, Pedro Vasconcelos2021-10-29T14:51:26Zoai:seer.ufrgs.br:article/93655Revistahttps://seer.ufrgs.br/index.php/AnaliseEconomicaPUBhttps://seer.ufrgs.br/index.php/AnaliseEconomica/oai||rae@ufrgs.br2176-54560102-9924opendoar:2021-10-29T14:51:26Análise Econômica (Online) - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.none.fl_str_mv |
SUICIDES IN THE BRAZILIAN MUNICIPALITIES: A SPATIAL APPROACH FOR CENSORED DATA SUICÍDIOS NOS MUNICÍPIOS BRASILEIROS: UMA ABORDAGEM ESPACIAL PARA DADOS CENSURADOS |
title |
SUICIDES IN THE BRAZILIAN MUNICIPALITIES: A SPATIAL APPROACH FOR CENSORED DATA |
spellingShingle |
SUICIDES IN THE BRAZILIAN MUNICIPALITIES: A SPATIAL APPROACH FOR CENSORED DATA Alvarenga, Samia Mercado suicide spatial econometrics tobit Brazilian municipalities I12 C21 C24 Suicídio Econometria Espacial Tobit Municípios Brasileiros. I12 C21 C24 |
title_short |
SUICIDES IN THE BRAZILIAN MUNICIPALITIES: A SPATIAL APPROACH FOR CENSORED DATA |
title_full |
SUICIDES IN THE BRAZILIAN MUNICIPALITIES: A SPATIAL APPROACH FOR CENSORED DATA |
title_fullStr |
SUICIDES IN THE BRAZILIAN MUNICIPALITIES: A SPATIAL APPROACH FOR CENSORED DATA |
title_full_unstemmed |
SUICIDES IN THE BRAZILIAN MUNICIPALITIES: A SPATIAL APPROACH FOR CENSORED DATA |
title_sort |
SUICIDES IN THE BRAZILIAN MUNICIPALITIES: A SPATIAL APPROACH FOR CENSORED DATA |
author |
Alvarenga, Samia Mercado |
author_facet |
Alvarenga, Samia Mercado Jorge, Marco Antonio Maia do Amaral, Pedro Vasconcelos |
author_role |
author |
author2 |
Jorge, Marco Antonio Maia do Amaral, Pedro Vasconcelos |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Alvarenga, Samia Mercado Jorge, Marco Antonio Maia do Amaral, Pedro Vasconcelos |
dc.subject.por.fl_str_mv |
suicide spatial econometrics tobit Brazilian municipalities I12 C21 C24 Suicídio Econometria Espacial Tobit Municípios Brasileiros. I12 C21 C24 |
topic |
suicide spatial econometrics tobit Brazilian municipalities I12 C21 C24 Suicídio Econometria Espacial Tobit Municípios Brasileiros. I12 C21 C24 |
description |
Suicide is recognized internationally as a public health problem that ranksamong the ten most frequent causes of death among the general population, surpassingthe number of deaths from armed conflict. In Brazil, according to data from the Mortality Information System, for each registered suicide, it is estimated that there are over twenty attempts not reported. Under-registration, coupled with rarity and the inherentcharacteristics of its distribution, makes the phenomenon even more complex, especially in the Brazilian context, where the continental dimensions carry socioeconomicand cultural heterogeneities. In order to verify the influence of socioeconomic factorsin the presence of spatial interactions, a spatially distributed Tobit model is applied tomunicipal data of 2010. The empirical approach adopted represents an important advance in the literature, since, besides considering the spatial autocorrelation a level ofaggregation that hitherto was not common to those surveyed regarding suicide, alsooffers a treatment for censored variables. The main results corroborate previous studiesabout the significant influence of socioeconomic factors and confirm spatial multipliereffects, consistent with the Durkheimian postulates about the contagious effect. Therefore, it is desirable that public policies to contain and prevent suicide take into accountnot only socioeconomic and demographic aspects, but also the territorial distribution ofoccurrences and the spatial interaction between them. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-09-29 |
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/93655 10.22456/2176-5456.93655 |
url |
https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/93655 |
identifier_str_mv |
10.22456/2176-5456.93655 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/93655/65027 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Análise Econômica info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 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. 39 No. 80 (2021): Setembro/2021 Análise Econômica; v. 39 n. 80 (2021): Setembro/2021 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 |
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1799766268470886400 |