SUICIDES IN THE BRAZILIAN MUNICIPALITIES: A SPATIAL APPROACH FOR CENSORED DATA

Detalhes bibliográficos
Autor(a) principal: Alvarenga, Samia Mercado
Data de Publicação: 2021
Outros Autores: Jorge, Marco Antonio, Maia do Amaral, Pedro Vasconcelos
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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spelling 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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