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This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via PSID) directly for details on obtaining the data.

The Transition into Adulthood Supplement (TAS), started in 2005 and collected biennially through 2021, captures data on the development pathways and outcomes of children who participated in the 1997 PSID Child Development Supplement as they transition into young adulthood. Beginning in 2017, all PSID sampled children entering early adulthood are eligible to participate in the TAS. For information about these earlier data collections, see Panel Study of Income Dynamics (PSID): Transition into Adulthood Supplement, 2005-2019.

In 2021, the TAS was updated to include information about COVID-19 incidence and the effects of the pandemic.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via PSID) directly for details on obtaining the data. The Child Development Supplement (CDS) to the longitudinal survey Panel Study of Income Dynamics (PSID) focuses on child development, and covers such topics as school progress, academic achievement and cognitive ability, social well-being, emotional well-being, and health.

CDS-2021 was designed as a two-year follow-up to a main wave of CDS conducted in 2019 in order to support research on the effects of a cohort of children aged 2-17 years in 2021 for whom prior interview data in CDS-2019 were collected just prior to the onset of the COVID-19 pandemic in March 2020.

The original CDS was launched in 1997 with a cohort of children aged 0-12 years, with follow-up waves in 2002 and 2007. CDS in 2014 and 2019 collected information on the next generation of PSID children aged 0-17 years in each wave. For information about these earlier data collections, see Panel Study of Income Dynamics (PSID): Child Development Supplement, 1997-2019.

This study features Supplemental Nutrition Assistance Program (SNAP) policy and enrollment data organized in three datasets. The data were originally collected for a companion paper, Pukelis, K. (2024). "SNAP Policies and Enrollment following the COVID-19 Pandemic."

The SNAP COVID Policy Data (DS1) provides monthly data on states' adoption of policies to adjust SNAP enrollment requirements and benefits during the COVID-19 federal public health emergency, from March 2020 through June 2023. This dataset features information from all 50 states regarding policy waivers that were requested to simplify SNAP application and recertification requirements, temporarily waive recertification requirements, and provide emergency supplemental benefits. SNAP implementation procedures data from 2019 are also available for comparison.

The SNAP County Enrollment Data (DS2) contains county-month level data on SNAP enrollment numbers, total benefits issued, applications, and recertifications, as well as a handful of measures on the Temporary Assistance for Needy Families (TANF) program and Medicaid.

The SNAP State Enrollment Detail Data (DS3) includes state-month level data on SNAP enrollment details, including applications, recertifications, enrollment by demographic group, and information about office walk-in visits and calls to the assistance line. TANF and Medicaid state-month level data is also provided. The state enrollment file also features 62 variables detailing Louisiana case closures.

County and state enrollment files contain demographic information for a limited number of states, including SNAP, TANF, and Medicaid enrollment by age group, and state-month SNAP enrollment by gender, race, and ethnicity.

This study examines how significant disruptions to children's health, education, and overall well-being during the COVID-19 pandemic created lasting influence on health, development, and social trajectories through the lifecourse, and the risk for long-term health outcomes. The research leverages the New York City (NYC) Student Population Health Registry (SPHR), a uniquely inclusive, longitudinal database of all NYC public school students created jointly by the NYC Department of Health and Mental Hygiene and NYC Department of Education, along with other publicly available data sources.

Research to date has focused on racial and geographic disparities in school-level vaccination rates, and on racial and ethnic group differences in New York City schoolchildren becoming fully vaccinated (two doses) within 6 months of vaccine eligibility. Future research is expected to focus on outcomes such as increased incidence and exacerbation of chronic diseases like obesity, asthma, and diabetes; stress and anxiety; and educational consequences such as declines in academic achievement (test scores), increases in chronic absenteeism, repeating grades, or high school dropout. Also of interest are the mitigating effects of child-, classroom-, and school-level vaccination rates, and neighborhood and school characteristics such as income, vaccination sites, emergency food resources, and open space.

The ICPSR provides variable-level metadata for the data associated with this study. The actual data may only be available from the Principal Investigator directly. The variable descriptions available through ICPSR also include information regarding the source of each variable listed, as does the Data Source field of these metadata.

This study explores whether perinatal telehealth uptake has mitigated the pandemic's effects on disparities in maternal care access, quality, and outcomes by race, ethnicity, and rural or urban residence. Research to date has approached this question in several ways. First, researchers have utilized census data to assess whether community-wide broadband infrastructure exists to support the use of telehealth services in areas with high travel times to maternal care units. Findings suggest that socioeconomically disadvantaged communities face significant barriers to maternity care access, both with substantial travel burdens and inadequate digital access to facilitate telehealth services. Second, to examine maternal care quality, researchers have employed South Carolina hospital-based claims data and vital statistics to identify racial, ethnic, and urban/rural disparities in rates of cesarean delivery before and during the COVID-19 pandemic period. Results indicate that cesarean rates differed by rural vs. urban facility locations and racial and ethnic groups but observed disparities were not significantly exacerbated by the pandemic. Third, using South Carolina hospital-based claims data and COVID-19 testing data, researchers found significant racial, ethnic, and rural disparities in postpartum readmissions involving mental health and substance use disorders from childbirth discharge through one year postpartum during the COVID-19 pandemic. Finally, drawing on data from the National COVID Cohort Collaborative (N3C), research has shown that hybrid care increased substantially during the COVID-19 public health emergency, but pregnant people living in rural areas had lower levels of hybrid care than urban people, and individuals who belonged to racial and ethnic minority groups were more likely to have hybrid care than White individuals.

Future research will investigate the impact of the COVID-19 pandemic and perinatal telehealth uptake on additional maternity care and birth outcomes by race, ethnicity, and urbanicity. The study also aims to assess how state-level telehealth policies relate to perinatal telehealth uptake by race, ethnicity, and urbanicity, and to develop a model to predict long-term changes in maternal care access, quality, outcomes, and expenditures, with and without state telehealth policies.

The ICPSR provides variable-level metadata for the data associated with this study. The actual data may only be available from the Principal Investigator directly. The variable descriptions available through ICPSR also include information regarding the source of each variable listed, as does the Data Source field of these metadata.