Estimating age- and sex-specific mortality rates for small areas with TOPALS regression: an application to Brazil in 2010
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista brasileira de estudos de população (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-30982016000300629 |
Resumo: | Abstract High variability in recorded vital events creates serious problems for small-area mortality estimation by age and sex. Many existing approaches to fitting local mortality schedules, including those most often used in Brazil, estimate rates by making rigid mathematical assumptions about local age patterns. Such methods assume that all areas within a larger area (for example, microregions within a mesoregion) have identically-shaped log mortality schedules by age. We propose a more flexible statistical estimation method that combines Poisson regression with the TOPALS relational model (DE BEER, 2012). We use the new method to estimate age-specific mortality rates in Brazilian small areas (states, mesoregions, microregions, and municipalities) in 2010. Results for Minas Gerais show notable differences in the age patterns of mortality between adjacent small areas, demonstrating the advantages of using a flexible functional form in regression models. |
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Revista brasileira de estudos de população (Online) |
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Estimating age- and sex-specific mortality rates for small areas with TOPALS regression: an application to Brazil in 2010MortalitySmall areasTOPALS methodPoisson regressionAbstract High variability in recorded vital events creates serious problems for small-area mortality estimation by age and sex. Many existing approaches to fitting local mortality schedules, including those most often used in Brazil, estimate rates by making rigid mathematical assumptions about local age patterns. Such methods assume that all areas within a larger area (for example, microregions within a mesoregion) have identically-shaped log mortality schedules by age. We propose a more flexible statistical estimation method that combines Poisson regression with the TOPALS relational model (DE BEER, 2012). We use the new method to estimate age-specific mortality rates in Brazilian small areas (states, mesoregions, microregions, and municipalities) in 2010. Results for Minas Gerais show notable differences in the age patterns of mortality between adjacent small areas, demonstrating the advantages of using a flexible functional form in regression models.Associação Brasileira de Estudos Populacionais2016-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-30982016000300629Revista Brasileira de Estudos de População v.33 n.3 2016reponame:Revista brasileira de estudos de população (Online)instname:Associação Brasileira de Estudos Populacionais (ABEP)instacron:ABEP10.20947/s0102-30982016c0009info:eu-repo/semantics/openAccessGonzaga,Marcos RobertoSchmertmann,Carl Pauleng2017-02-09T00:00:00Zoai:scielo:S0102-30982016000300629Revistahttps://rebep.org.br/revistahttps://old.scielo.br/oai/scielo-oai.php||editora@rebep.org.br1980-55190102-3098opendoar:2017-02-09T00:00Revista brasileira de estudos de população (Online) - Associação Brasileira de Estudos Populacionais (ABEP)false |
dc.title.none.fl_str_mv |
Estimating age- and sex-specific mortality rates for small areas with TOPALS regression: an application to Brazil in 2010 |
title |
Estimating age- and sex-specific mortality rates for small areas with TOPALS regression: an application to Brazil in 2010 |
spellingShingle |
Estimating age- and sex-specific mortality rates for small areas with TOPALS regression: an application to Brazil in 2010 Gonzaga,Marcos Roberto Mortality Small areas TOPALS method Poisson regression |
title_short |
Estimating age- and sex-specific mortality rates for small areas with TOPALS regression: an application to Brazil in 2010 |
title_full |
Estimating age- and sex-specific mortality rates for small areas with TOPALS regression: an application to Brazil in 2010 |
title_fullStr |
Estimating age- and sex-specific mortality rates for small areas with TOPALS regression: an application to Brazil in 2010 |
title_full_unstemmed |
Estimating age- and sex-specific mortality rates for small areas with TOPALS regression: an application to Brazil in 2010 |
title_sort |
Estimating age- and sex-specific mortality rates for small areas with TOPALS regression: an application to Brazil in 2010 |
author |
Gonzaga,Marcos Roberto |
author_facet |
Gonzaga,Marcos Roberto Schmertmann,Carl Paul |
author_role |
author |
author2 |
Schmertmann,Carl Paul |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Gonzaga,Marcos Roberto Schmertmann,Carl Paul |
dc.subject.por.fl_str_mv |
Mortality Small areas TOPALS method Poisson regression |
topic |
Mortality Small areas TOPALS method Poisson regression |
description |
Abstract High variability in recorded vital events creates serious problems for small-area mortality estimation by age and sex. Many existing approaches to fitting local mortality schedules, including those most often used in Brazil, estimate rates by making rigid mathematical assumptions about local age patterns. Such methods assume that all areas within a larger area (for example, microregions within a mesoregion) have identically-shaped log mortality schedules by age. We propose a more flexible statistical estimation method that combines Poisson regression with the TOPALS relational model (DE BEER, 2012). We use the new method to estimate age-specific mortality rates in Brazilian small areas (states, mesoregions, microregions, and municipalities) in 2010. Results for Minas Gerais show notable differences in the age patterns of mortality between adjacent small areas, demonstrating the advantages of using a flexible functional form in regression models. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-30982016000300629 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-30982016000300629 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.20947/s0102-30982016c0009 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Estudos Populacionais |
publisher.none.fl_str_mv |
Associação Brasileira de Estudos Populacionais |
dc.source.none.fl_str_mv |
Revista Brasileira de Estudos de População v.33 n.3 2016 reponame:Revista brasileira de estudos de população (Online) instname:Associação Brasileira de Estudos Populacionais (ABEP) instacron:ABEP |
instname_str |
Associação Brasileira de Estudos Populacionais (ABEP) |
instacron_str |
ABEP |
institution |
ABEP |
reponame_str |
Revista brasileira de estudos de população (Online) |
collection |
Revista brasileira de estudos de população (Online) |
repository.name.fl_str_mv |
Revista brasileira de estudos de população (Online) - Associação Brasileira de Estudos Populacionais (ABEP) |
repository.mail.fl_str_mv |
||editora@rebep.org.br |
_version_ |
1754302036984201216 |