Sustainability of pensions in Asian countries
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shim, Hyunoo | - |
dc.contributor.author | Kim, Siok | - |
dc.contributor.author | Choi, Yang Ho | - |
dc.date.accessioned | 2023-01-25T09:16:38Z | - |
dc.date.available | 2023-01-25T09:16:38Z | - |
dc.date.issued | 2022-11 | - |
dc.identifier.issn | 2287-7843 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/111458 | - |
dc.description.abstract | Mortality risk is a significant threat to individual life, and quantifying the risk is necessary for making a national population plan and is a traditionally fundamental task in the insurance and annuity businesses. Like other advanced countries, the sustainability of life pensions and the management of longevity risks are becoming important in Asian countries entering the era of aging society. In this study, mortality and pension value sustainability trends are compared and analyzed based on national population and mortality data, focusing on four Asian countries from 1990 to 2017. The result of analyzing the robustness and accuracy of generalized linear/nonlinear models reveals that the Cairns-Blake-Dowd model, the nonparametric Renshaw-Haberman model, and the Plat model show low stability. The Currie, CBD M5, M7, and M8 models have high stability against data periods. The M7 and M8 models demonstrate high accuracy. The longevity risk is found to be high in the order of Taiwan, Hong Kong, Korea, and Japan, which is in general inversely related to the population size. | - |
dc.format.extent | 16 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | 한국통계학회 | - |
dc.title | Sustainability of pensions in Asian countries | - |
dc.type | Article | - |
dc.publisher.location | 대한민국 | - |
dc.identifier.doi | 10.29220/CSAM.2022.29.6.679 | - |
dc.identifier.scopusid | 2-s2.0-85143855283 | - |
dc.identifier.wosid | 000892858500003 | - |
dc.identifier.bibliographicCitation | Communications for Statistical Applications and Methods, v.29, no.6, pp 679 - 694 | - |
dc.citation.title | Communications for Statistical Applications and Methods | - |
dc.citation.volume | 29 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 679 | - |
dc.citation.endPage | 694 | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART002899108 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | esci | - |
dc.description.journalRegisteredClass | kciCandi | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
dc.subject.keywordPlus | LEE-CARTER MODEL | - |
dc.subject.keywordPlus | STOCHASTIC MORTALITY | - |
dc.subject.keywordPlus | RISK | - |
dc.subject.keywordPlus | FRAMEWORK | - |
dc.subject.keywordPlus | RATES | - |
dc.subject.keywordAuthor | life annuity | - |
dc.subject.keywordAuthor | stochastic mortality models | - |
dc.subject.keywordAuthor | cross-country comparison | - |
dc.subject.keywordAuthor | Lee -Carter | - |
dc.subject.keywordAuthor | CBD | - |
dc.identifier.url | http://www.csam.or.kr/journal/view.html?doi=10.29220/CSAM.2022.29.6.679 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG 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.