Common Factor Cause-Specific Mortality Model

Recent pension reforms in Europe have implemented a link between retirement age and life expectancy. The accurate forecast of life tables and life expectancy is hence paramount for governmental policy and financial institutions. We developed a multi-population mortality model which includes a cause-...

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Main Authors: Geert Zittersteyn, Jennifer Alonso-García
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Risks
Subjects:
Online Access:https://www.mdpi.com/2227-9091/9/12/221
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author Geert Zittersteyn
Jennifer Alonso-García
author_facet Geert Zittersteyn
Jennifer Alonso-García
author_sort Geert Zittersteyn
collection DOAJ
description Recent pension reforms in Europe have implemented a link between retirement age and life expectancy. The accurate forecast of life tables and life expectancy is hence paramount for governmental policy and financial institutions. We developed a multi-population mortality model which includes a cause-specific environment using Archimedean copulae to model dependence between various groups of causes of death. For this, Dutch data on cause-of-death mortality and cause-specific mortality data from 14 comparable European countries were used. We find that the inclusion of a common factor to a cause-specific mortality context increases the robustness of the forecast and we underline that cause-specific mortality forecasts foresee a more pessimistic mortality future than general mortality models. Overall, we find that this non-trivial extension is robust to the copula specification for commonly chosen dependence parameters.
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spelling doaj.art-eee6476d45bf41309ba99548f37930ee2023-11-23T10:26:32ZengMDPI AGRisks2227-90912021-12-0191222110.3390/risks9120221Common Factor Cause-Specific Mortality ModelGeert Zittersteyn0Jennifer Alonso-García1ILX, Linnaeusstraat 2A, 1092 CK Amsterdam, The NetherlandsDepartment of Mathematics, Université Libre de Bruxelles, Boulevard du Triomphe, B-1050 Bruxelles, BelgiumRecent pension reforms in Europe have implemented a link between retirement age and life expectancy. The accurate forecast of life tables and life expectancy is hence paramount for governmental policy and financial institutions. We developed a multi-population mortality model which includes a cause-specific environment using Archimedean copulae to model dependence between various groups of causes of death. For this, Dutch data on cause-of-death mortality and cause-specific mortality data from 14 comparable European countries were used. We find that the inclusion of a common factor to a cause-specific mortality context increases the robustness of the forecast and we underline that cause-specific mortality forecasts foresee a more pessimistic mortality future than general mortality models. Overall, we find that this non-trivial extension is robust to the copula specification for commonly chosen dependence parameters.https://www.mdpi.com/2227-9091/9/12/221mortalitycause of deathcommon factorArchimedean copulapopulation dynamics
spellingShingle Geert Zittersteyn
Jennifer Alonso-García
Common Factor Cause-Specific Mortality Model
Risks
mortality
cause of death
common factor
Archimedean copula
population dynamics
title Common Factor Cause-Specific Mortality Model
title_full Common Factor Cause-Specific Mortality Model
title_fullStr Common Factor Cause-Specific Mortality Model
title_full_unstemmed Common Factor Cause-Specific Mortality Model
title_short Common Factor Cause-Specific Mortality Model
title_sort common factor cause specific mortality model
topic mortality
cause of death
common factor
Archimedean copula
population dynamics
url https://www.mdpi.com/2227-9091/9/12/221
work_keys_str_mv AT geertzittersteyn commonfactorcausespecificmortalitymodel
AT jenniferalonsogarcia commonfactorcausespecificmortalitymodel