Bayesian Modeling of Mortality in Italian Regions: A Three-Component Approach Incorporating Cohort Effects
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F24%3A00588342" target="_blank" >RIV/67985807:_____/24:00588342 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-64273-9_25" target="_blank" >https://doi.org/10.1007/978-3-031-64273-9_25</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-64273-9_25" target="_blank" >10.1007/978-3-031-64273-9_25</a>
Alternative languages
Result language
angličtina
Original language name
Bayesian Modeling of Mortality in Italian Regions: A Three-Component Approach Incorporating Cohort Effects
Original language description
The increases in life expectancy over the last decades have strongly impacted the distribution of ages at death. Its parametric estimation can be complicated by cohort effects. Our addresses the issue by extending a recent three-component parametric model to include cohort effects in a Bayesian framework. The model is fit to male mortality data from five diverse Italian regions between 1974 and 2022. Our results demonstrate significant regional variations in mortality, influenced by cohort effects, particularly among cohorts born around World War I. The model effectively captures the evolution of mortality components, with cohort effects markedly improving fit of complex, even multi-modal curves.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF2024 Conference Proceedings
ISBN
978-3-031-64272-2
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
149-153
Publisher name
Springer
Place of publication
Cham
Event location
Le Havre
Event date
Apr 4, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001299654100025