Linking contextual, geographic data to the HRS

This project (U01AG079065) was funded to examine experiences of health
and economic challenges during the COVID-19 pandemic across generations of
American families and how families responded to these challenges. To do so
requires knowledge of each family member’s characteristics and the contexts
they experienced over the pandemic. Accordingly, we create a unique dataset
that enhances the rich population-representative panel data in the Health and Retirement Study (HRS) and the Panel Study of Income Dynamics (PSID) by linking
comprehensive contextual data to multiple life domains of each generation. This
repository provides information and codes for linking publicly-available
measures of contextual determinants of health, inequality, and density of
essential workers at the state, county, and census tract levels to the HRS,
using the Restricted 1992-2020 Cross-Wave
Geographic Information (Detail) File.

本项目（编号U01AG079065）获资助开展研究，旨在考察美国家庭各代际群体在新冠疫情期间面临的健康与经济困境经历，以及家庭应对这些挑战的方式。此项研究需掌握每位家庭成员的特征信息，以及其在疫情期间所处的各类环境背景。据此，我们构建了一套独特的数据集：通过将全面的背景数据与各代际群体的多生活领域信息进行关联，完善了健康与退休研究（Health and Retirement Study, HRS）以及收入动态面板研究（Panel Study of Income Dynamics, PSID）中兼具人口代表性的丰富追踪面板数据。本数据集仓库提供了相关信息与代码，可借助1992-2020年跨波地理信息（详情）受限文件（Restricted 1992-2020 Cross-Wave Geographic Information (Detail) File），将州、县及普查街区层面公开可得的健康、不平等与必需从业者密度的背景决定因素测度指标，与HRS数据进行关联。