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Managing Mortality and Aging Risks with a Time-Varying Lee–Carter Model

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成果类型:
期刊论文
作者:
Chen, Zhongwen;Shi, Yanlin;Shu, Ao
通讯作者:
Ao Shu
作者机构:
[Chen, Zhongwen] Hengyang Normal Univ, Coll Econ & Management, Hengyang 421002, Peoples R China.
[Shi, Yanlin] Macquarie Univ, Dept Actuarial Studies & Business Analyt, Sydney, NSW 2109, Australia.
[Shu, Ao] Hunan Univ, Business Sch, Changsha 410012, Peoples R China.
通讯机构:
[Ao Shu] B
Business School, Hunan University, Changsha 410012, China<&wdkj&>Author to whom correspondence should be addressed.
语种:
英文
关键词:
mortality rates;Lee–Carter model;time-varying coefficients;rotated age pattern;life expectancy
期刊:
Healthcare
ISSN:
2227-9032
年:
2023
卷:
11
期:
5
页码:
743-
基金类别:
Funding: This work was supported by the Humanities and Social Sciences Project Funded by the Ministry of Education of the People’s Republic of China [grant number: 20YJA840001]; and the Research Foundation of Education Bureau of Hunan Province, China [grant number: 19A064].
机构署名:
本校为第一机构
院系归属:
经济与管理学院
摘要:
Influential existing research has suggested that rather than being static, mortality declines decelerate at young ages and accelerate at old ages. Without accounting for this feature, the forecast mortality rates of the popular Lee–Carter (LC) model are less reliable in the long run. To provide more accurate mortality forecasting, we introduce a time-varying coefficients extension of the LC model by adopting the effective kernel methods. With two frequently used kernel functions, Epanechnikov (LC-E) and Gaussian (LC-G), we demonstrate that the...

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