Dispersion modelling of mortality for both sexes with Tweedie distributions

IF 1.6 3区 经济学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Jackie Li, David G. W. Pitt, Han Li
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引用次数: 1

Abstract

Past mortality experience has shown that the variability in mortality levels is not constant and can be higher than what the usual Poisson assumption implies. This paper proposes two ways to tackle the heterogeneity often present in mortality data. First, an additional dispersion submodel is developed and combined with the mean model to perform a joint modelling of the mean and the dispersion. Moreover, a flexible group of distributions called the Tweedie family is adopted to model the number of deaths. Using Australian and other mortality data, the results of this study show that this Tweedie double modelling framework can generally improve the fitting performance and also leads to a more adequate allowance for longevity risk when valuing pension annuities.
用Tweedie分布对两性死亡率进行离散建模
过去的死亡率经验表明,死亡率水平的变化不是恒定的,可能比通常的泊松假设所暗示的要高。本文提出了两种方法来解决死亡率数据中经常出现的异质性。首先,开发了一个额外的分散子模型,并将其与均值模型相结合,以执行均值和分散的联合建模。此外,还采用了一组称为Tweedie家族的灵活分布来模拟死亡人数。使用澳大利亚和其他死亡率数据,本研究的结果表明,这种Tweedie双重建模框架总体上可以提高拟合性能,并且在评估养老金年金时也可以更充分地考虑寿命风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Scandinavian Actuarial Journal
Scandinavian Actuarial Journal MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-STATISTICS & PROBABILITY
CiteScore
3.30
自引率
11.10%
发文量
38
审稿时长
>12 weeks
期刊介绍: Scandinavian Actuarial Journal is a journal for actuarial sciences that deals, in theory and application, with mathematical methods for insurance and related matters. The bounds of actuarial mathematics are determined by the area of application rather than by uniformity of methods and techniques. Therefore, a paper of interest to Scandinavian Actuarial Journal may have its theoretical basis in probability theory, statistics, operations research, numerical analysis, computer science, demography, mathematical economics, or any other area of applied mathematics; the main criterion is that the paper should be of specific relevance to actuarial applications.
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