澳大利亚人口退休风险精算模型:澳大利亚功能性残疾和健康状况模型

IF 1.4 Q3 SOCIAL SCIENCES, MATHEMATICAL METHODS Decisions in Economics and Finance Pub Date : 2023-12-07 DOI:10.1007/s10203-023-00418-w
Kyu Park, Michael Sherris
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引用次数: 0

摘要

随着越来越多的澳大利亚人进入或即将进入退休年龄,功能性残疾和健康状况建模对于政府和个人的退休风险保险和融资至关重要。这些风险的多状态建模是按功能性残疾状况对人口进行预测、对健康预期寿命进行估算、对公共养老护理进行可持续融资以及对私人长期护理保险进行创新的基础。由于缺乏澳大利亚老年人的纵向健康和死亡率数据,为澳大利亚人口开发模型具有挑战性。我们利用 1998 年、2003 年、2009 年、2012 年、2015 年和 2018 年残疾、老龄化和照顾者调查的横截面数据,提供了 20 年间功能性残疾和疾病的患病率,从而估算出一个多状态转换模型,该模型最能解释观察到的澳大利亚患病率变化。我们利用年龄、性别和趋势因素,首次开发并估算了澳大利亚 60 岁及以上人群在五种状态(健康、残疾但未患病、患病但未残疾、残疾且患病以及死亡)之间的转换模型。功能性残疾的定义是日常生活活动的自理能力。疾病是指慢性疾病,包括心脏病、糖尿病、肺病和中风。模型估算以数字方式进行。利用拟合模型,我们估算了每年的过渡概率、退休人员的预期寿命以及按功能性残疾和健康状况划分的预计人口分布。我们还提供了与以往研究结果的比较。
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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Actuarial modelling of Australian population retirement risks: an Australian functional disability and health state model

With increasing numbers of Australians in or entering retirement, the modelling of functional disability and health status is critical to the insuring and financing of retirement risks for both governments and individuals. The multi-state modelling of these risks underlies projections of the population by functional disability status, the estimation of healthy life expectancy, the sustainable financing of public aged care and innovations in private long-term care insurance. Developing a model for the Australian population is challenging because of the lack of longitudinal health and mortality data for older Australians. We use the cross-sectional data in the Survey of Disability, Ageing and Carers for years 1998, 2003, 2009, 2012, 2015 and 2018, providing prevalence of functional disability and illness across 20 years, to estimate a multi-state transitions model that best explain the observed changes of prevalence in Australia. We develop and estimate for the first time an Australian model for transitions between five states (healthy, disabled but not ill, ill but not disabled, disabled and ill, and dead) using age, sex and trend factors for those aged 60 or greater. Functional disability is defined by autonomy of activities of daily living. Illness is defined by chronic illness conditions including heart problems, diabetes, lung disease, and stroke. Model estimation is done numerically. Using the fitted model, we estimate yearly transition probabilities, life expectancy of retirees and projected population distributions by functional disability and health states. We also provide a comparison of the results with previous studies.

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来源期刊
Decisions in Economics and Finance
Decisions in Economics and Finance SOCIAL SCIENCES, MATHEMATICAL METHODS-
CiteScore
2.50
自引率
9.10%
发文量
10
期刊介绍: Decisions in Economics and Finance: A Journal of Applied Mathematics is the official publication of the Association for Mathematics Applied to Social and Economic Sciences (AMASES). It provides a specialised forum for the publication of research in all areas of mathematics as applied to economics, finance, insurance, management and social sciences. Primary emphasis is placed on original research concerning topics in mathematics or computational techniques which are explicitly motivated by or contribute to the analysis of economic or financial problems.
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