考虑婚姻状况死亡率差异的已婚夫妇养老金风险分析的多状态模型方法

IF 0.5 Q4 STATISTICS & PROBABILITY Communications for Statistical Applications and Methods Pub Date : 2021-11-30 DOI:10.29220/csam.2021.28.6.611
Anastasia Stefani, Hyuk-sung Kwon
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引用次数: 0

摘要

婚姻状况已被确定为影响成人死亡率的一个重要危险因素。许多研究发现,婚姻对死亡率有积极影响,并能延长预期寿命。由于提供退休收入的养恤金合同大多数是提供给已婚夫妇的,以全体人口为基础进行精算估值的死亡率假设很可能高估了合同中规定的受益人群体的实际死亡率。本研究考虑了婚姻状况对死亡率的差异,以分析一对已婚夫妇的典型养老金合同的支付期限和价值。该研究使用韩国经验死亡率数据组织的婚姻状况,采用多状态模型框架,量化了在死亡率假设中考虑婚姻状况对精算测量的影响。分析结果表明,在死亡率假设中考虑婚姻状况可以改善死亡率风险管理。
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A multi-state model approach for risk analysis of pensions for married couples with consideration of mortality difference by marital status
Marital status has been identified as an important risk factor affecting adult mortality. Many studies have found that marriage has positive effects on mortality and increases life expectancy. Since most pension contracts providing retirement income are provided to married couples, mortality assumption for actuarial valuation based on the entire population is likely to overestimate the actual mortality of the group of beneficiaries specified in the contracts. This study considered the differences in mortality according to marital status to analyze the length and value of the payments of a typical pension contract for a married couple. The study quantified the effect on actuarial measurements of considering marital status in mortality assumptions with a multi-state model framework using Korean experience mortality data organized by marital status. The results of analysis indicate that considering marital status in mortality assumptions improves mortality risk management.
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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
49
期刊介绍: Communications for Statistical Applications and Methods (Commun. Stat. Appl. Methods, CSAM) is an official journal of the Korean Statistical Society and Korean International Statistical Society. It is an international and Open Access journal dedicated to publishing peer-reviewed, high quality and innovative statistical research. CSAM publishes articles on applied and methodological research in the areas of statistics and probability. It features rapid publication and broad coverage of statistical applications and methods. It welcomes papers on novel applications of statistical methodology in the areas including medicine (pharmaceutical, biotechnology, medical device), business, management, economics, ecology, education, computing, engineering, operational research, biology, sociology and earth science, but papers from other areas are also considered.
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