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題名 Mortality models and longevity risk for small populations
作者 余清祥
Wang, Hsin-Chung
Yue, Ching-Syang Jack
Chong, Chen-Tai
貢獻者 統計學系
關鍵詞 Longevity risk; Small area estimation; Lee–Carter model; Standard mortality ratio; Graduation
日期 2017
上傳時間 29-Jan-2018 12:29:36 (UTC+8)
摘要 Prolonging life expectancy and improving mortality rates is a common trend of the 21st century. Stochastic models, such as Lee–Carter model (Lee and Carter, 1992), are a popular choice to deal with longevity risk. However, these mortality models often have unsatisfactory results for the case of small populations. Thus, quite a few modifications (such as approximation and maximal likelihood estimation) to the Lee–Carter can be used for the case of small populations or missing observations. In this study, we propose an alternative approach (graduation methods) to improve the performance of stochastic models. The proposed approach is a combination of data aggregation and mortality graduation. In specific, we first combine the historical data of target population, treating it as the reference population, and use the data graduation methods (Whittaker and partial standard mortality ratio) to stabilize the mortality estimates of the target population. We first evaluate whether the proposed method have smaller errors in mortality estimation than the Lee–Carter model in the case of small populations, and explore if it is possible to reduce the bias of parameter estimates in the Lee–Carter model. We found that the proposed approach can improve the model fit of the Lee–Carter model when the population size is 200,000 or less.
關聯 INSURANCE MATHEMATICS & ECONOMICS, 78, 351-359
資料類型 article
DOI https://doi.org/10.1016/j.insmatheco.2017.09.020
dc.contributor 統計學系-
dc.creator (作者) 余清祥zh_TW
dc.creator (作者) Wang, Hsin-Chungen_US
dc.creator (作者) Yue, Ching-Syang Jacken_US
dc.creator (作者) Chong, Chen-Taien_US
dc.date (日期) 2017-
dc.date.accessioned 29-Jan-2018 12:29:36 (UTC+8)-
dc.date.available 29-Jan-2018 12:29:36 (UTC+8)-
dc.date.issued (上傳時間) 29-Jan-2018 12:29:36 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/115639-
dc.description.abstract (摘要) Prolonging life expectancy and improving mortality rates is a common trend of the 21st century. Stochastic models, such as Lee–Carter model (Lee and Carter, 1992), are a popular choice to deal with longevity risk. However, these mortality models often have unsatisfactory results for the case of small populations. Thus, quite a few modifications (such as approximation and maximal likelihood estimation) to the Lee–Carter can be used for the case of small populations or missing observations. In this study, we propose an alternative approach (graduation methods) to improve the performance of stochastic models. The proposed approach is a combination of data aggregation and mortality graduation. In specific, we first combine the historical data of target population, treating it as the reference population, and use the data graduation methods (Whittaker and partial standard mortality ratio) to stabilize the mortality estimates of the target population. We first evaluate whether the proposed method have smaller errors in mortality estimation than the Lee–Carter model in the case of small populations, and explore if it is possible to reduce the bias of parameter estimates in the Lee–Carter model. We found that the proposed approach can improve the model fit of the Lee–Carter model when the population size is 200,000 or less.en_US
dc.format.extent 693040 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) INSURANCE MATHEMATICS & ECONOMICS, 78, 351-359-
dc.subject (關鍵詞) Longevity risk; Small area estimation; Lee–Carter model; Standard mortality ratio; Graduationen_US
dc.title (題名) Mortality models and longevity risk for small populationsen_US
dc.type (資料類型) article-
dc.identifier.doi (DOI) 10.1016/j.insmatheco.2017.09.020-
dc.doi.uri (DOI) https://doi.org/10.1016/j.insmatheco.2017.09.020-