课题基金 / 基金详情

SSDI Benefit Impacts Of Occupational Injuries/Illnesses

SSDI Benefit Impacts Of Occupational Injuries/Illnesses
职业伤害/疾病对 SSDI 福利的影响
批准号:
6314798
负责人:
David Salkever
金额:
$12.29万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-09-30 至 2002-09-29

项目摘要

项目成果

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中文摘要
翻译
该项目将探索几个大型数据库的使用 制定国家对职业伤害影响的估计和 关于社会保障残疾保险(SSDI)福利支付的疾病。这个 SSDI计划的成本在过去十年中迅速增加,而且 很可能这些福利的很大一部分归因于职业 受伤和疾病。需要从工资单中为这些SSDI福利提供资金 在全国稳定社会保障的努力中,税收是一个主要问题。 估计通过控制职业而节省的SSDI收益 伤害和疾病将是联邦卫生政策和优先事项的重要内容 布景。 衡量SSDI福利影响需要员工个人数据 覆盖足够长的时间段,从一开始就能捕捉到它们的进展 职业伤害或疾病对他们领取SSDI福利的影响。二 捕获大量工作人员数据的数据源 较长的时间段是1)私人长期伤残(LTD)索赔数据和2) 大型小组调查,如收入和计划调查 参与(SIPP)。在这个项目中,我们将开发和测试 职业伤害和疾病对国家SSDI福利的影响 从这两种类型的数据。LTD索赔数据代表以下索赔经验 一家大型保险公司,为大约500,000名以上的员工提供保险 1992-1997年期间有1400多名雇主。将分析SIPP数据 来自1996年SIPP(四年一次的小组调查)以及1992和1993年的数据 SIPP调查(包括对以下调查的受访者的延长跟踪 程序动力学)。LTD声称数据将用于制定国家估计 SSDI福利对所有美国人职业伤害和疾病的影响 由私人有限公司承保的工人。我们还将研究 这些估计数按受伤或疾病的诊断类别、按地区和按 工业。基于SIPP的SSDI收益影响评估将涵盖 所有工人的职业伤害和疾病 获得了补偿福利。我们还将研究这些变化 按地区、行业、员工人口统计和健康问题进行估计 类别。我们将研究两个SIPP评估的基准策略 和LTD的数据与其他国家数据集进行比较。探索性统计模型 还将开发探索工伤赔偿的互动机制 计划特点和SSDI收益影响。
英文摘要
This project will explore the use of several large databases for developing national estimates of the impact of occupational injuries and illnesses on Social Security Disability Insurance (SSDI) benefit payments. The cost of the SSDI program has increased rapidly in the past decade and it is likely that a large portion of these benefits are attributable to occupational injuries and illnesses. The need to fund these SSDI benefits out of payroll taxes is a major concern in the national efforts to stabilize Social Security. Estimates of SSDI benefit savings that result from controlling occupational injuries and illnesses will be important for Federal health policy and priority setting. Measurement of SSDI benefit impacts requires data on individual workers covering a long enough time period to capture their progression from the onset of an occupational injury or illness to their receipt of SSDI benefits. Two data sources that capture data for large numbers of workers over a sufficiently long time period are 1) private long-term disability (LTD) claims data and 2) large-scale panel surveys such as the Survey of Income and Program Participation (SIPP). In this project, we will develop and test methods for generating national SSDI benefit impacts of occupational injuries and illnesses from both types of data. LTD claims data represent the claims experience for one large insurer of policies covering approximately 500,000 workers of more than 1,400 employers during the period 1992-1997. SIPP data will be analyzed from the 1996 SIPP (a four-year panel survey) and data from the 1992 and 1993 SIPP surveys (including an extended follow-up for respondents to the Survey of Program Dynamics). LTD claims data will be used to develop national estimates of SSDI benefit impacts of occupational injuries and illnesses for all U.S. workers covered by private LTD insurance. We will also examine variations in these estimates by diagnostic category of injury or illness, by region, and by industry. SSDI benefit impact estimates based on the SIPP will cover occupational injuries and illnesses to all workers for which Workers' Compensation benefits were received. We will also examine variations in these estimates by region, industry, worker demographics, and health problem category. We will examine strategies for benchmarking estimates from both SIPP and LTD data against other national data sets. Exploratory statistical models will also be developed to explore the interaction of Workers' Compensation program characteristics and SSDI benefit impacts.
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