谁能预见未来?与决策能力相关的长期护理保险需求方选择

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-04-11 DOI:10.1111/jori.12465
Timo R. Lambregts, Frederik T. Schut
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引用次数: 0

摘要

尽管人们对长期护理(LTC)的需求日益增长,但在美国,私人长期护理保险(LTCI)的投保率却很低,甚至还在下降。原因之一是 LTCI 决策的复杂性。因此,研究人员建议支持决策能力。然而,本文表明,这种支持并不能明确地增强 LTCI 市场的功能。我们分析了选择是否来自两种相关但不同的老年决策能力--教育和计算能力,以及它们与私人信息的相互作用。利用健康与退休调查的历史数据,我们发现教育程度会产生逆向选择,而算术能力带来的优势选择只能部分抵消这种逆向选择。此外,决策能力更强的个人会做出更好的长期医疗保险选择,从而扩大了教育和计算能力带来的选择。这说明了保险市场中决策简易性与选择之间的权衡,并表明需要采取其他措施来提高私人 LTCI 市场的表现。
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Who can see it coming? Demand-side selection in long-term care insurance related to decision-making abilities

Despite the growing demand for long-term care (LTC), the uptake of private LTC insurance (LTCI) is low and even declining in the United States. One reason is the complexity of LTCI decisions. Researchers have therefore suggested to support decision-making abilities. This paper shows, however, that such support would not unambiguously enhance functioning of the LTCI market. We analyze whether selection arises from two correlated but different decision-making abilities at old age, education and numeracy, and interactions thereof with private information. Using historical data from the Health and Retirement Survey we find that education generates adverse selection, which is only partially offset by advantageous selection due to numeracy. In addition, individuals with greater decision-making abilities make better LTCI choices, amplifying selection by education and numeracy. This points at a trade-off between decision simplicity and selection in insurance markets and suggests other steps are needed to enhance the performance of private LTCI markets.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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