Pooling functional disability and mortality in long-term care insurance and care annuities: A matrix approach for multi-state pools

IF 1.9 2区 经济学 Q2 ECONOMICS Insurance Mathematics & Economics Pub Date : 2024-03-01 DOI:10.1016/j.insmatheco.2024.02.006
Doreen Kabuche, Michael Sherris, Andrés M. Villegas, Jonathan Ziveyi
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Abstract

Mortality risk sharing pools including group self-annuitisation, pooled annuity funds and tontines have been developed as an effective solution for managing longevity risk. Although they have been widely studied in the literature, these mortality risk sharing pools do not consider individual health or functional disability status nor the need for long-term care (LTC) insurance at older ages. We extend these pools to include functional disability and chronic illness and present a matrix-based methodology for pooling mortality risk across heterogeneous individuals classified by functional disability states and chronic illness statuses. We demonstrate how individuals with different health risks can more equitably share mortality risk in a pooled annuity design. A multi-state pool is formed by pooling annuitants considering both longevity and LTC risks and determining the actuarially fair benefits based on individuals' health states. Our methodology provides a general structure for a pooled annuity product that can be applied for general multi-state models. We present an extensive analysis with numerical examples using the US Health and Retirement Study (HRS) data. Our results compare expected annuity benefits for individuals in poor health to those in good health, show the effects of incorporating systematic trends and uncertainty, assess how the valuation of the expected annuity payments interacts with the assumptions used for the multi-state model and assess the impact of pool size.

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在长期护理保险和护理年金中汇集功能性残疾和死亡率:多州集合的矩阵方法
作为管理长寿风险的有效解决方案,已经开发出了包括团体自我年金化解、集合年金基金和通兑在内的死亡率风险分担池。尽管文献中对其进行了广泛研究,但这些死亡率风险分担池并未考虑个人健康或功能性残疾状况,也未考虑老年人对长期护理(LTC)保险的需求。我们将这些风险池扩展到包括功能性残疾和慢性疾病,并提出了一种基于矩阵的方法,用于将按功能性残疾状态和慢性疾病状态分类的异质个体的死亡率风险集中起来。我们展示了具有不同健康风险的个人如何在集合年金设计中更公平地分担死亡风险。考虑到长寿风险和 LTC 风险,并根据个人的健康状况确定精算上公平的给付,将年金领取者集中起来,就形成了一个多状态池。我们的方法为集合年金产品提供了一般结构,可用于一般的多状态模型。我们利用美国健康与退休研究(HRS)的数据,通过数字示例进行了广泛的分析。我们的结果比较了健康状况差的个人与健康状况好的个人的预期年金给付,显示了纳入系统趋势和不确定性的影响,评估了预期年金给付的估值如何与多州模型所使用的假设相互作用,并评估了集合规模的影响。
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来源期刊
Insurance Mathematics & Economics
Insurance Mathematics & Economics 管理科学-数学跨学科应用
CiteScore
3.40
自引率
15.80%
发文量
90
审稿时长
17.3 weeks
期刊介绍: Insurance: Mathematics and Economics publishes leading research spanning all fields of actuarial science research. It appears six times per year and is the largest journal in actuarial science research around the world. Insurance: Mathematics and Economics is an international academic journal that aims to strengthen the communication between individuals and groups who develop and apply research results in actuarial science. The journal feels a particular obligation to facilitate closer cooperation between those who conduct research in insurance mathematics and quantitative insurance economics, and practicing actuaries who are interested in the implementation of the results. To this purpose, Insurance: Mathematics and Economics publishes high-quality articles of broad international interest, concerned with either the theory of insurance mathematics and quantitative insurance economics or the inventive application of it, including empirical or experimental results. Articles that combine several of these aspects are particularly considered.
期刊最新文献
A new characterization of second-order stochastic dominance Bivariate Tail Conditional Co-Expectation for elliptical distributions Egalitarian pooling and sharing of longevity risk a.k.a. can an administrator help skin the tontine cat? A two-layer stochastic game approach to reinsurance contracting and competition Optimal insurance design under asymmetric Nash bargaining
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