需要长期护理风险的新证据

Leora Friedberg, Wenliang Hou, Wei Sun, A. Webb, Zhenyu Li
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引用次数: 52

摘要

长期护理是许多美国老年人面临的主要开支之一。然而,我们对需要长期护理的风险和预期护理时间的信息有限。需要接受家庭保健、住在辅助生活设施或住在养老院的期望是最佳退休后储蓄和长期护理保险购买模型的重要输入。先前的研究基于1982-89年的国家长期护理调查(NLTCS)数据,使用了Robinson(1996)的过渡矩阵。罗宾逊模型预测,65岁的男性和女性分别有27%和44%的机会需要养老院的护理。最近的证据表明,这些早期的估计可能在一些重要方面极具误导性。根据1992-2010年健康与退休研究(HRS)的数据,Hurd, Michaud和Rohwedder(2013)估计,50岁的男性和女性分别有50%和65%的机会需要护理。但是,他们也估计了更短的平均护理时间,正如我们所示,这是由于有更大的机会返回社区,条件是入院。如果养老院护理是一个高概率但相对低成本的事件,那么将其视为低概率,高成本事件的模型可能夸大了保险的价值。我们使用来自NLTCS和HRS的最新数据更新和修改了Robinson模型。我们表明,罗宾逊模型中的低寿命利用率和高条件平均停留时间是拟合数据的统计模型的特定特征的工件。我们还表明,按年龄划分的护理损害和大部分使用都有所下降,2004年NLTCS和1996-2010年HRS得出了类似的护理使用横截面模式。我们修改和更新了护理过渡模型,并表明在最优长期护理保险模型中,使用新的过渡矩阵大大降低了支付意愿的模拟值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New Evidence on the Risk of Requiring Long-Term Care
Long-term care is one of the major expenses faced by many older Americans. Yet, we have only limited information about the risk of needing long-term care and the expected duration of care. The expectations of needing to receive home health care, live in an assisted living facility or live in a nursing home are essential inputs into models of optimal post-retirement saving and long-term care insurance purchase. Previous research has used the Robinson (1996) transition matrix, based on National Long Term Care Survey (NLTCS) data for 1982-89. The Robinson model predicts that men and women aged 65 have a 27 and 44 percent chance, respectively, of ever needing nursing home care. Recent evidence suggests that those earlier estimates may be extremely misleading in important dimensions. Using Health and Retirement Study (HRS) data from 1992-2010, Hurd, Michaud, and Rohwedder (2013) estimate that men and women aged 50 have a 50 and 65 percent chance, respectively, of ever needing care. But, they also estimate shorter average durations of care, resulting, as we show, from a greater chance of returning to the community, conditional on admission. If nursing home care is a high-probability but relatively low-cost occurrence, models that treat it as a lower-probability, high-cost occurrence may overstate the value of insurance. We update and modify the Robinson model using more recent data from both the NLTCS and the HRS. We show that the low lifetime utilization rates and high conditional mean durations of stay in the Robinson model are artifacts of specific features of the statistical model that was fitted to the data. We also show that impairment and most use of care by age has declined and that the 2004 NLTCS and the 1996-2010 HRS yield similar cross-sectional patterns of care use. We revise and update the care transition model, and we show that use of the new transition matrix substantially reduces simulated values of willingness-to-pay in an optimal long-term care insurance model.
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