差异死亡率增加的证据:HRS和SIPP的比较

Q3 Social Sciences Social Security Bulletin Pub Date : 2015-07-01 DOI:10.2139/ssrn.2625792
B. Bosworth, Kan Zhang
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引用次数: 21

摘要

本文使用收入和计划参与调查(SIPP)和健康与退休研究(HRS)的数据来探讨老年人社会经济地位(SES)对预期寿命的扩大程度。我们使用教育程度、41-50岁黄金工作年龄的平均(职业)收入、财富和职业分类构建了四种可选的SES测量方法。该论文发现:- SIPP和HRS都有强有力的统计证据表明,从1910年到1961年,出生队列中SES死亡率风险的不平等越来越大。-使用社会经济地位的所有四项指标可以明显看出死亡风险日益不平等,但以职业收入和教育程度为基础的措施表现得最为明显。-差别死亡率的长期变化非常大,但由于法律限制社会经济地位低的人提前退休,以及社会经济地位高的人自愿推迟退休,这些变化对领取福利的时间长短的影响受到了抑制。-自我报告的健康状况是死亡风险的一个非常重要的预测因素,但将其纳入统计模型对通过各种社会经济状况指标操作的差异死亡率的证据只有边际影响。-各种社会经济状况指标的调查措施与包括收入、死亡记录和OASDI福利在内的行政记录相结合,为分析死亡率经验及其对福利分配的影响提供了特别庞大和丰富的数据集。研究结果的政策含义是:-将退休年龄与平均预期寿命的增长挂钩,以稳定OASDI的财务状况,可能会产生意想不到的重大分配后果,因为大多数死亡率的增长集中在相对较高的社会经济地位的工人中。
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Evidence of Increasing Differential Mortality: A Comparison of the HRS and SIPP
This paper uses data from the Survey of Income and Program Participation (SIPP) and the Health and Retirement Study (HRS) to explore the extent of a widening in life expectancies by socioeconomic status (SES) for older persons. We construct four alternative measures of SES, using educational attainment, average (career) earnings in the prime working ages of 41-50, wealth, and occupational classifications. The paper finds that: - There is strong statistical evidence in both the SIPP and HRS of a growing inequality of mortality risk by SES across birth cohorts from 1910 to 1961. - Growing inequality in mortality risk is evident using all four indicators of SES, but it is strongest for the measures based on career earnings and educational attainment. - The secular changes in differential mortality are very large, but their influence on the length of time for which people receive benefits has been dampened by legal restrictions on early retirement for low-SES individuals and by voluntary postponement of retirement at the top of the distribution. - Self-reported health status is a highly significant predictor of mortality risk, but its inclusion in the statistical models has only a marginal effect on the evidence of differential mortality operating through the various SES indicators. - The combination of survey measures of the various SES indicators and the administrative records covering earnings, death records, and OASDI benefits provides a particularly large and rich data set for the analysis of mortality experience and its implications for the distribution of benefits. The policy implications of the findings are: - Indexing the retirement age to increases in average life expectancy to stabilize OASDI finances may have substantial unintended distributional consequences, because most mortality gains have been concentrated among workers with relatively high SES.
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Social Security Bulletin
Social Security Bulletin Social Sciences-Social Sciences (miscellaneous)
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