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Panel of Current and Usable Form 5500 Data

Panel of Current and Usable Form 5500 Data
当前可用表格 5500 数据面板
批准号:
7184457
负责人:
MAURICIO SOTO
金额:
$6.4万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-03-01 至 2009-02-28

项目摘要

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中文摘要
翻译
描述(由申请人提供):该项目通过提供1984-2005年期间表格5500中详细的雇主特定养老金数据的干净,用户友好的面板数据库,解决了退休收入研究的当前数据需求之一。该项目有两项基本任务。首先,它将把来自劳工部(DOL)的原始数据转换为研究界可用的面板数据库。为此,将清理原始数据;创建字典文件和代码簿;统一变量名称以保持所有可用年份的一致性;合并每年的数据以创建纵向数据集。由此产生的数据将包含根据传统DOL假设调整的养老金参与措施。该项目的第二项任务是通过万维网向研究人员提供由此产生的数据,并及时提供养恤金汇总信息。为此,该项目将使用波士顿学院退休研究中心目前的互联网基础设施。这些数据和文件将免费提供给研究人员。该项目还将制作数据汇总表,将使官方DOL发布的及时性至少提高三年。由此产生的数据集将使研究人员能够立即获得公司一级的数据,这将有助于他们解决以前在退休研究领域未回答的问题,例如了解对老年工人的潜在需求;公司提供养老金的原因;养老金覆盖面和参与的衡量;养老金如何影响公司的估值;提供保险的最具成本效益的方式;为什么雇主用自己的股票来补偿员工;为什么不同的行业提供不同类型的养老金计划。
英文摘要
DESCRIPTION (provided by applicant): This project addresses one of the current data needs of retirement income research by providing a clean, user friendly panel database of detailed employer-specific pension data from the Forms 5500 for the period 1984-2005. This project has two fundamental tasks. First, it will transform the raw data from the Department of Labor (DOL) into usable panel database for the research community. To do this, the raw data will be cleaned; dictionary files and codebooks will be created; the variable names will be harmonized to maintain consistency across all available years; and each year of data will be merged to create a longitudinal dataset. The resulting data will contain adjusted measures of pension participation following traditional DOL assumptions. The second task of this project is to make the resulting data available to researchers via the World Wide Web, and provide aggregate pension information on a timely basis. To do this, this project will use the current internet infrastructure of the Center for Retirement Research at Boston College. The data and documentation will be freely available to researchers. This project will also produce aggregate tabulations of the data that will improve the timeliness of the official DOL releases by at least three years. The resulting dataset will give researchers immediate access to firm-level data that will help them address previously unanswered questions in the retirement research field, such as understanding the potential demand for older workers; the reasons why firms offer pensions; the measurement of pension coverage and participation; how pensions affect the firm's valuation; the most cost-effective manner of providing coverage; why employers use their own stock to compensate their employees; and why different industries offer different types of pension plans.
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