Constructing Life Course and Intergenerational Data Through Census Data Linkages

 描述（由申请人提供）：该项目将开发必要的记录链接方法，以创建一个前所未有的数据资源，涵盖美国人口超过七十年。具体而言，该项目将制定新的战略，在20世纪世纪人口普查记录中放置独特的受保护识别密钥，并将评价结果和优化人口与健康研究的数据。这些战略将有助于将人口普查、调查和行政记录联系起来，以建立一个综合数据库，对健康和福祉进行生命过程和代际分析。在一个安全的数据环境中，人口普查局为许多最近的人口普查和调查数据分配PIK，使他们能够在数据源中唯一地识别和链接个人，以提高数据质量和程序效率，同时保持机密性。该项目提出研究，以获得1940年人口普查数据的PIK率，接近该局在最近数据上的成功。如果成功，通过将1940年的横截面数据与最近的横截面和面板数据相匹配，这项工作将允许研究界（1）构建长期个体的纵向数据;（2）构建长期相关个体（兄弟姐妹和父母和子女）的纵向数据;（3）构建多代家庭（王朝）的数据。这些数据将用于研究美国社会的基本问题，包括早期生活条件对晚年健康结果的影响以及代际关系。 财富、健康和人力资本的转移。1940年的人口普查是一个很好的测试平台，用于开发将PIK分配给早期人口普查数据的算法。这是最近一次十年一次的人口普查，根据人口普查的72年数据发布规则，可以获得原始手稿。个人及其家庭成员的姓名和地址以及大量人口统计信息很容易通过IPUMS数据获得，为其他行政数据来源提供了独特识别个人的潜在信息。这一试点 项目将评价：（1）使用为最近的人口普查数据开发的算法，1940年人口普查的总体PIK率，包括PIK率如何随人口统计特征，特别是年龄，性别和种族而变化;（2）如何使用额外的数据和新方法来提高2000年前数据的PIK率，包括使用用于管理OASDI计划和军事入伍记录的社会保障数据;（3）各种匹配方法引入的偏差和完整性之间的权衡;（4）使用非唯一匹配（但对少数人）的数据的计量经济学方法。这项研究的结果将为未来开发数据基础设施计划提供信息，该计划将长期以来有关个人和家庭的一系列数据源联系起来，以研究生命周期和代际问题

 DESCRIPTION (provided by applicant): This project will develop record linkage methods necessary to create an unprecedented data resource covering the American population over seven decades. Specifically, this project will develop new strategies for placing unique protected identification keys (PIKs) on twentieth century census records and will evaluate the results and optimize the data for population and health research. These strategies will facilitate linking census, survey, and administrative records to create an integrated database allowing life-course and intergenerational analysis of health and wellbeing. Within a secure data environment, the Census Bureau assigns PIKs on many recent census and survey data which allows them to uniquely identify and link individuals across data sources for the purposes of improving data quality and program efficiency while maintaining confidentiality. This project proposes research to obtain PIK rates on 1940 census data that approach the Bureau's success on recent data. If successful, by matching 1940 cross-sectional data with recent cross sectional and panel data, this work will allow the research community to (1) construct longitudinal data on individuals over long periods of time; (2) construct longitudinal data on related individuals (siblings and parents and children) over long periods of time and (3) construct data on multiple generations of families (dynasties). Such data will be used to study fundamental issues of American society including the effects of early life living conditions on later life health outcomes and the intergenerational transfer of wealth, health and human capital. The 1940 Census is an excellent test bed for developing algorithms for assigning PIKs to earlier census data. It is the most recent decennial census for which the original manuscripts are available under the Census's 72-year rule for data release. Names and addresses as well as a host of demographic information for individuals and their household members are easily accessible through IPUMS data, giving potential information for uniquely identifying individuals with other administrative data sources. This pilot project will evaluate: (1) the overall PIK rate of the 1940 Census using algorithms developed for recent census data, including how the PIK rate varies with demographic characteristics especially age, sex and race; (2) how additional data and new methods can be used to improve the PIK rate on pre-2000 data including the use of Social Security data used to administer the OASDI program and military enlistment records; (3) the tradeoff between bias and completeness introduced by various matching methods; and (4) econometric methods to use data matched not uniquely (but to a small number of people). Findings from this study will inform future efforts to develop a data infrastructure program linking a range of data sources on individuals and families over long periods of time to study life-cycle and intergenerational issues