健康与工作需求随退休年龄的纵向轨迹研究

Amal Harrati, P. Hepburn, D. Rehkopf
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引用次数: 1

摘要

在这篇论文中,我们描述了一群美国工人在18年期间的健康轨迹。我们使用管理数据来跟踪六种慢性疾病(哮喘、关节炎、糖尿病、抑郁症、缺血性心脏病和高血压)的每月健康相关事件,包括新疾病的诊断、住院和门诊就诊。利用这些数据,我们首先使用序列和聚类分析来描述健康的长期轨迹,并根据他们的工作经验模式对工人进行分组。然后,我们建立了这些健康轨迹与退休年龄的关系模型,考虑了基线潜在健康状况,以及一些人口统计学和与工作相关的特征。最后,我们考虑了生理和心理工作需求在退休年龄中的作用。我们的分析得出了一些研究退休政策的人应该感兴趣的发现。在我们的数据中,员工可以被归类为少数不同的工作轨迹。虽然本样本中的大多数工人在观察窗口的大部分时间内保持相对健康,但其他人表现出与健康相关的事件模式,通常以高血压和/或关节炎为标志。我们发现,以高血压和关节炎相关的健康事件为特征的群体可能会更晚退休,而不是更早。我们提供了一种可能的解释,即这些众多与健康相关的事件是对这些慢性病进行适当管理的信号,使工人能够延长他们的工作寿命。此外,即使在控制了健康因素后,我们也发现了工作需求和退休之间的联系。具体来说,我们发现,暴露在高温下的时间越长,退休年龄越低,决策自主权也越少。本文的局限性包括缺乏代表性样本,样本量相对较小,以及该队列中退休养老金的强烈激励可能压倒与退休决策相关的其他因素。
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A Study of Longitudinal Trajectories of Health and Job Demand on Retirement Age
In this paper, we characterized health trajectories over an 18-year period for a cohort of American workers. We used administrative data to track monthly, health-related events for six chronic diseases (asthma, arthritis, diabetes, depression, ischemic heart disease, and hypertension) including the diagnoses of new disease, hospitalizations, and outpatient visits. Using these data, we first used sequence and cluster analysis to characterize long-term trajectories of health and to group workers according to their patterns of work experience. We then modeled the relationship of these health trajectories to retirement age, accounting for baseline underlying health, as well as a number of demographic and job-related characteristics. Finally, we consider the role of physical and psychosocial job demand in retirement age.

Our analysis produces a number of findings that should be of interest to those studying retirement policy. In our data, workers can be categorized into a small number of distinct work trajectories. While the majority of workers in this sample remain relatively healthy for much of the observation window, others exhibit patterns of health-related events that are often marked by hypertension and/or arthritis. We find that clusters characterized with health events related to hypertension and arthritis are likely to retire later, not earlier. We offer a possible interpretation that these numerous health-related events are signaling the proper management of these chronic diseases, allowing workers to extend their working life. Moreover, we find an association with job demands and retirement, even after controlling for health. Specifically, we find that increases in exposure to heat are associated with lower retirement age, as is less decision-making autonomy. The limitations of this paper include the lack of a representative sample, a relatively small sample size, and the strong incentives of retirement pensions in this cohort that may overwhelm other factors related to retirement decisions.
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