Application Lee-Carter Model to Chinese Population Data under Uncertainty of Model's Parameters

被引:0
作者
Wu Xiaokun [1 ,2 ]
Wang Xiaojun [2 ]
Xie Hejun [3 ]
机构
[1] North China Elect Power Univ, Sch Math & Phys, Baoding 071003, Hebei, Peoples R China
[2] Renmin Univ China, Sch Stat, Beijing, Peoples R China
[3] Yunnan Univ, Sch Publ Adm, Kunming 650091, Peoples R China
来源
PROCEEDINGS OF 2013 CHINA INTERNATIONAL CONFERENCE ON INSURANCE AND RISK MANAGEMENT | 2013年
关键词
Lee-Carter model; Bootstrap; interval estimation; Uncertainty; Mortality;
D O I
暂无
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Lee-Carter model and its extended models are popular and important models in mortality researches, which use time series methods to predict mortality in the future. The predict results often including an interval with a probability to cover the mortality. However the estimated parameters in models are often considered certainty; in fact the estimated model's parameters have uncertainty. Many recent researches concern the uncertainty in mortality studies. In Chinese population mortality researches, uncertainty of model parameters is scarce. In this paper, through Lee-Carter model and Bootstrap, mortality and other correlatives are to be studied under uncertainty of model's parameters based on Chinese population data.
引用
收藏
页码:812 / 818
页数:7
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