Clustering-Based Extensions of the Common Age Effect Multi-Population Mortality Model
Simon Schnürch,
Torsten Kleinow and
Ralf Korn
Additional contact information
Simon Schnürch: Department of Financial Mathematics, Fraunhofer Institute for Industrial Mathematics ITWM, Fraunhofer-Platz 1, 67663 Kaiserslautern, Germany
Torsten Kleinow: Department of Actuarial Mathematics and Statistics, School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK
Ralf Korn: Department of Financial Mathematics, Fraunhofer Institute for Industrial Mathematics ITWM, Fraunhofer-Platz 1, 67663 Kaiserslautern, Germany
Risks, 2021, vol. 9, issue 3, 1-32
Abstract:
We introduce four variants of the common age effect model proposed by Kleinow, which describes the mortality rates of multiple populations. Our model extensions are based on the assumption of multiple common age effects, each of which is shared only by a subgroup of all considered populations. This makes the models more realistic while still keeping them as parsimonious as possible, improving the goodness of fit. We apply different clustering methods to identify suitable subgroups. Some of the algorithms are borrowed from the unsupervised learning literature, while others are more domain-specific. In particular, we propose and investigate a new model with fuzzy clustering, in which each population’s individual age effect is a linear combination of a small number of age effects. Due to their good interpretability, our clustering-based models also allow some insights in the historical mortality dynamics of the populations. Numerical results and graphical illustrations of the considered models and their performance in-sample as well as out-of-sample are provided.
Keywords: mortality modeling and forecasting; stochastic mortality model; mortality of multiple populations; common age effect model; cluster analysis; maximum likelihood estimation (search for similar items in EconPapers)
JEL-codes: C G0 G1 G2 G3 K2 M2 M4 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://www.mdpi.com/2227-9091/9/3/45/pdf (application/pdf)
https://www.mdpi.com/2227-9091/9/3/45/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jrisks:v:9:y:2021:i:3:p:45-:d:508525
Access Statistics for this article
Risks is currently edited by Mr. Claude Zhang
More articles in Risks from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().