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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 …
Persistent link: https://www.econbiz.de/10012794182
Disaggregation of mortality by cause has advanced the development of life tables for life insurance and pension … determine relationships among causes of death such as HIV/AIDS and their impact on mortality and longevity risks seem trivial or …
Persistent link: https://www.econbiz.de/10014234458
In this study, we assess COVID-19-related mortality in Minnesota and Wisconsin with the aim of demonstrating both the … weekly mortality figures at the national or state level, we subsequently delve into a marginal distribution examination of … statistical model that utilizes observed mortality datasets from neighboring states and nations to facilitate precise short …
Persistent link: https://www.econbiz.de/10014436366
stochastic mortality intensity. We find that a generation-based model is important, since spouses' dependence decreases when …
Persistent link: https://www.econbiz.de/10011507502
Stochastic mortality models have been developed for a range of applications from demographic projections to financial … management. Financial risk based models built on methods used for interest rates and apply these to mortality rates. They have … Smith (2005) proposed a model based on a forward-rate mortality framework with stochastic factors driven by univariate gamma …
Persistent link: https://www.econbiz.de/10012018993
-heart syndrome. Given the traditional use of UK mortality tables in the modelling of mortality in Egypt, the findings of this paper … will help to inform appropriate mortality assumptions specific to the unique structure of the Egyptian scheme. …
Persistent link: https://www.econbiz.de/10014233104
In insurance and related industries including healthcare, it is common to have several outcome measures that the analyst wishes to understand using explanatory variables. For example, in automobile insurance, an accident may result in payments for damage to one's own vehicle, damage to another...
Persistent link: https://www.econbiz.de/10011443697
The family of Liouville copulas is defined as the survival copulas of multivariate Liouville distributions, and it covers the Archimedean copulas constructed by Williamson’s d-transform. Liouville copulas provide a very wide range of dependence ranging from positive to negative dependence in...
Persistent link: https://www.econbiz.de/10011556499
We study the recursive moments of aggregate discounted claims, where the dependence between the inter-claim time and the subsequent claim size is considered. Using the general expression for the m-th order moment proposed by Léveillé and Garrido (Scand. Actuar. J. 2001, 2, 98-110), which takes...
Persistent link: https://www.econbiz.de/10010399755
Random shifting typically appears in credibility models whereas random scaling is often encountered in stochastic models for claim sizes reflecting the time-value property of money. In this article we discuss some aspects of random shifting and random scaling of insurance risks focusing in...
Persistent link: https://www.econbiz.de/10010400277