A comparison of parametric models for mortality graduation. Application to mortality data of the Valencia Region (Spain)

The parametric graduation of mortality data has as its objective the satisfactory estimation of the death rates based on mortality data but using an age-dependent function whose parameters are adjusted from the crude rates obtainable directly from the data. This paper proposes a revision of the most...

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Detalles Bibliográficos
Autores: Debón, Ana M., Montes, Francisco, Sala, Ramon
Tipo de recurso: artículo
Fecha de publicación:2005
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:97463
Acceso en línea:https://ddd.uab.cat/record/97463
Access Level:acceso abierto
Palabra clave:Gompertz-Makeham functions
Heligman and Pollard's laws
Parametric graduation
Funcions de Gompertz-Makeham
Lleis de Heligman i Pollard's
Gradualització paramètrica
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spelling A comparison of parametric models for mortality graduation. Application to mortality data of the Valencia Region (Spain)Debón, Ana M.Montes, FranciscoSala, RamonGompertz-Makeham functionsHeligman and Pollard's lawsParametric graduationFuncions de Gompertz-MakehamLleis de Heligman i Pollard'sGradualització paramètricaThe parametric graduation of mortality data has as its objective the satisfactory estimation of the death rates based on mortality data but using an age-dependent function whose parameters are adjusted from the crude rates obtainable directly from the data. This paper proposes a revision of the most commonly used parametric methods and compares the results obtained with each of them when they are applied to the mortality data for the Valencia Region. As a result of the comparison, we conclude that the Gompertz-Makeham functions estimated by means of generalized linear models lead to the best results. Our working method is of additional interest for being applicable to mortality data for a wide range of ages from any geographical conditions, allowing us to select the most appropriate life table for the case in hand.La gradualització paramètrica de dades de mortalitat té com a objectiu l'estimació correcta de taxes de mort a partir de les dades de mortalitat mitjançant una funció que depèn de l'edat, els paràmetres de la qual s'ajusten a partir de les taxes "brutes" de mortalitat obtingudes directament de les dades. Aquest article presenta una revisió dels models paramètrics més habituals i la seua aplicació a les dades de mortalitat del País Valencià. Com a conseqüència de la comparació dels resultats obtinguts amb els diferents models, es conclou que les funcions de Gompertz-Makeham estimades mitjançant models lineals generalitzats condueixen als millors resultats. El mètode de treball que es presenta té interès suplementari per ser aplicable a dades de mortalitat per a un ampli rang d'edats i per a qualsevol àmbit geogràfic, permetent en cada cas seleccionar la millor taula de vida. 22005-01-0120052005-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/97463reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.https://creativecommons.org/licenses/by-nc-nd/3.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:974632026-06-06T12:50:31Z
dc.title.none.fl_str_mv A comparison of parametric models for mortality graduation. Application to mortality data of the Valencia Region (Spain)
title A comparison of parametric models for mortality graduation. Application to mortality data of the Valencia Region (Spain)
spellingShingle A comparison of parametric models for mortality graduation. Application to mortality data of the Valencia Region (Spain)
Debón, Ana M.
Gompertz-Makeham functions
Heligman and Pollard's laws
Parametric graduation
Funcions de Gompertz-Makeham
Lleis de Heligman i Pollard's
Gradualització paramètrica
title_short A comparison of parametric models for mortality graduation. Application to mortality data of the Valencia Region (Spain)
title_full A comparison of parametric models for mortality graduation. Application to mortality data of the Valencia Region (Spain)
title_fullStr A comparison of parametric models for mortality graduation. Application to mortality data of the Valencia Region (Spain)
title_full_unstemmed A comparison of parametric models for mortality graduation. Application to mortality data of the Valencia Region (Spain)
title_sort A comparison of parametric models for mortality graduation. Application to mortality data of the Valencia Region (Spain)
dc.creator.none.fl_str_mv Debón, Ana M.
Montes, Francisco
Sala, Ramon
author Debón, Ana M.
author_facet Debón, Ana M.
Montes, Francisco
Sala, Ramon
author_role author
author2 Montes, Francisco
Sala, Ramon
author2_role author
author
dc.subject.none.fl_str_mv Gompertz-Makeham functions
Heligman and Pollard's laws
Parametric graduation
Funcions de Gompertz-Makeham
Lleis de Heligman i Pollard's
Gradualització paramètrica
topic Gompertz-Makeham functions
Heligman and Pollard's laws
Parametric graduation
Funcions de Gompertz-Makeham
Lleis de Heligman i Pollard's
Gradualització paramètrica
description The parametric graduation of mortality data has as its objective the satisfactory estimation of the death rates based on mortality data but using an age-dependent function whose parameters are adjusted from the crude rates obtainable directly from the data. This paper proposes a revision of the most commonly used parametric methods and compares the results obtained with each of them when they are applied to the mortality data for the Valencia Region. As a result of the comparison, we conclude that the Gompertz-Makeham functions estimated by means of generalized linear models lead to the best results. Our working method is of additional interest for being applicable to mortality data for a wide range of ages from any geographical conditions, allowing us to select the most appropriate life table for the case in hand.
publishDate 2005
dc.date.none.fl_str_mv 2
2005-01-01
2005
2005-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/97463
url https://ddd.uab.cat/record/97463
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/3.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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