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Detecting year-of-birth mortality patterns with limited data

机译:检测数据有限的出生年份死亡率

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Late life mortality patterns are of crucial interest to actuaries assessing risk of longevity, most obviously for annuities and defined benefit pension schemes. The stability of public finances is also affected, as the governments have very substantial risk of longevity in the form of state benefits and public sector pension schemes. One important explanatory variable for late life mortality patterns is year of birth. Previous work has demonstrated various techniques for detecting such patterns, but always with long time series of mortality rates. The paper describes two alternative ways to detect such patterns, even with missing population data or the absence of a time series. The paper finds support for the idea that different birth cohorts have different rates of aging.
机译:终生死亡率模式对于精算师评估长寿风险至关重要,最明显的是年金和固定收益养老金计划。公共财政的稳定性也受到影响,因为政府以国家福利和公共部门养老金计划的形式存在着长寿的巨大风险。晚期死亡模式的一个重要解释变量是出生年份。先前的工作已经证明了检测这种模式的各种技术,但是始终具有较长的死亡率序列。本文描述了两种检测这种模式的方法,即使缺少总体数据或没有时间序列也是如此。本文支持以下观点,即不同的出生人群具有不同的衰老率。

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