Analysis of cause-of-death mortality and actuarial implications
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kwon, Hyuk-Sung | - |
dc.contributor.author | Vu Hai Nguyen | - |
dc.date.available | 2020-02-13T07:20:24Z | - |
dc.date.created | 2020-02-13 | - |
dc.date.issued | 2019-11 | - |
dc.identifier.issn | 2287-7843 | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/35464 | - |
dc.description.abstract | Mortality study is an essential component of actuarial risk management for life insurance policies, annuities, and pension plans. Life expectancy has drastically increased over the last several decades; consequently, longevity risk associated with annuity products and pension systems has emerged as a crucial issue. Among the various aspects of mortality study, a consideration of the cause-of-death mortality can provide a more comprehensive understanding of the nature of mortality/longevity risk. In this case study, the cause-of-mortality data in Korea and the US were analyzed along with a multinomial logistic regression model that was constructed to quantify the impact of mortality reduction in a specific cause on actuarial values. The results of analyses imply that mortality improvement due to a specific cause should be carefully monitored and reflected in mortality/longevity risk management. It was also confirmed that multinomial logistic regression model is a useful tool for analyzing cause-of-death mortality for actuarial applications. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | KOREAN STATISTICAL SOC | - |
dc.relation.isPartOf | COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS | - |
dc.title | Analysis of cause-of-death mortality and actuarial implications | - |
dc.type | Article | - |
dc.identifier.doi | 10.29220/CSAM.2019.26.6.557 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS, v.26, no.6, pp.557 - 573 | - |
dc.identifier.kciid | ART002528852 | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000502132800003 | - |
dc.identifier.scopusid | 2-s2.0-85078454626 | - |
dc.citation.endPage | 573 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 557 | - |
dc.citation.title | COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS | - |
dc.citation.volume | 26 | - |
dc.contributor.affiliatedAuthor | Kwon, Hyuk-Sung | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.subject.keywordAuthor | actuarial model | - |
dc.subject.keywordAuthor | annuity | - |
dc.subject.keywordAuthor | cause-of-death mortality | - |
dc.subject.keywordAuthor | life insurance | - |
dc.subject.keywordAuthor | longevity risk | - |
dc.subject.keywordAuthor | mortality risk | - |
dc.subject.keywordAuthor | multinomial logistic regression model | - |
dc.subject.keywordPlus | MULTIPLE CAUSES | - |
dc.subject.keywordPlus | IMPACT | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Soongsil University Library 369 Sangdo-Ro, Dongjak-Gu, Seoul, Korea (06978)02-820-0733
COPYRIGHT ⓒ SOONGSIL UNIVERSITY, ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.