UNDERSTANDING JOINT RETIREMENT DECISIONS IN COUPLES

了解夫妻共同退休的决定

• 批准号: 7645777
• 负责人: RICHARD BLUNDELL
• 金额: $ 34.8万
• 依托单位: RAND CORPORATION
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/7645777
• 关键词: Age; Aging; Caring; Country; Couples; Data; Data Sources; Disability Insurance; Documentation; Event; Family health status; Health; Health Insurance; Health Status; Healthcare; Incentives; Incidence; Individual; Insurance; Joints; Longitudinal Studies; Measurement; Modeling; Nature; Pensions; Rate; Research; Retirement; Scheme; Social Security; Specific qualifier value; Spouses; Structure; System; Taste Perception; Time; Variant; Work; aged; caregiving; comparative; cost; data modeling; disability; driving force; health economics; preference; programs; social

The key objective of the proposed research is to understand the separate impact of health status, social security and disability programs, employer pension incentives, spousal care giving, and preferences for joint leisure on the retirement decisions of individuals in couples. The detailed health and economic data in the English Longitudinal Study of Aging (ELSA) and the Health and Retirement Study (HRS) provide a unique opportunity for this analysis and are also ideal for the comparative work proposed here. The UK provides a particularly useful point of comparison with the US as many couples approaching retirement in the UK have quite different combinations of public and private pensions with quite different structures with respect to accrual rates, early retirement dates and normal retirement dates. Among those aged 50-65 in couples in the UK, the first data from ELSA have already shown the variety of pension arrangements. This is the first data source in the UK to allow such a careful analysis. Also the incentives in the disability system and the way they interact with other components of social insurance are quite different in the UK, and will help distinguish disability insurance incentives from the direct impact of health events on retirement decisions by couples. The complicated interactions between the financial incentives available to older individuals in couples and the measurement of their health status make careful modeling and detailed longitudinal data essential. ELSA and HRS fulfill both of these requirements. We propose two alternative approaches to modeling joint retirement decisions and the impact of health, family considerations, and retirement incentives: a quasi-reduced form panel data model and a fully specified collective dynamic programming model.

拟议研究的主要目的是了解健康状况，社会保障和残疾计划，雇主退休金激励措施，配偶护理给予的单独影响，以及对夫妻中个人退休决定的联合休闲偏好的偏好。英国衰老纵向研究（ELSA）和健康与退休研究（HRS）中的详细健康和经济数据为这项分析提供了独特的机会，也是此处提出的比较工作的理想选择。英国提供了一个与美国的特别有用的比较点，因为在英国接近退休的夫妇在应计税率，提前退休日期和正常退休日期的公共和私人养老金组合截然不同。在英国夫妇中50-65岁的那些人中，艾尔莎（Elsa）的第一批数据已经显示了养老金的种类 安排。这是英国第一个允许进行如此仔细分析的数据源。同样，在英国，残疾系统中的激励措施及其与社会保险的其他组成部分的互动方式也大不相同，这将有助于区分残疾保险奖励措施与健康事件对夫妻退休决策的直接影响。夫妻中老年人可用的经济激励措施与 其健康状况的测量使仔细建模和详细的纵向数据必不可少。 Elsa和HRS满足了这两个要求。我们提出了两种替代方法，用于建模联合退休决策以及健康，家庭考虑和退休激励措施的影响：准降低的表单面板数据模型和完全指定的集体动态编程模型。