Past Research Using KRDC Data
For examples of past research using KRDC data, see this searchable database. For examples of current approved projects in the FSRDC system, see the CES Annual Report. Appendix 3 of this report lists abstracts of current projects.
Current Projects Using Data from U.S. Census Bureau
“Wells and Well Being: How the Shale Energy Revolution is Changing Rural Families” Michael Betz (Ohio State University)
This project seeks to identify the impacts of shale energy development on key family and community demographic outcomes using restricted access data from the U.S. Census Bureau’s American Community Survey (ACS). The project will deliver benefit to the Census Bureau by analyzing demographic, social, and economic processes that affect Census bureau programs (Criterion 2) and create new estimates of population characteristics not identified by the Census Bureau (Criterion 11).
Current Projects Using Data from National Center for Health Statistics
“Did the Great Recession of 2008-2009 Modify the Health Status of US Adults?” Charles Courtemanche (University of Kentucky)
The “Great Recession of 2008-2009” is considered by many social scientists to have had profound effects on adult attitudes and behaviors across a broad range of psychosocial and economic issues. For many adults and their families, household budgets and wealth were severely reduced or constrained with the potential consequence of changes to lifestyle and, in turn, health status. Especially, during the recession, the average home price plunged 33 percent and the sharp decline in home prices lowered consumers' wealth and consumer confidence. Housing is the main source of the wealth to the vast majority of families and therefore a change in home prices can influence the behavior of economic agents, leading to change in risky health behaviors and health outcomes. Our proposed study has four following specific aims: 1) develop a dataset linking NHANES data for the period 2001-2014 with Zillow home price indices, Bureau of Labor Statistics unemployment data, and United States Department of Agriculture (USDA) food price data; 2) describe how trends in health behaviors and outcomes are associated with trends in unemployment rate and home prices; 3) conduct a more detailed exploration of the effects of local and state unemployment rates and home prices on health outcomes; and 4) examine long-term (rather than contemporaneous ) effects of changes in a given periods’ unemployment rate and housing prices on future health outcomes by including monthly lags of unemployment rates and housing prices into the analysis.
“The Relationship Between SNAP and Mortality” Colleen Heflin (Syracuse University) and James Ziliak (University of Kentucky)
This study assesses the relationship between SNAP participation and the probability of premature mortality using nationally-representative data from the 1997-2009 National Health Interview Survey linked to National Death Index (NDI) data on all deaths occurring from 1997 to 2011.
“The Effects of the Children's Health Insurance Program Reauthorization Act of 2009 (CHIPRA) New Option for Pregnant Non-Citizens on Their Hospital Utilization and Infant's Health” Grace Hwang (Ohio State University)
This study examines the effects of the Children’s Health Insurance Program Reauthorization Act of 2009 (CHIPRA) new option for pregnant non-citizens on their hospital utilization and infant health. Using two sources of variation, states’ decision to participate in CHIPRA new option (opt-in or opt-out) and years staying in the United States (less than 5 years or between 10 and 14 years), the project uses the National Health Interview Survey from 1998-2014 to estimate the impact of Medicaid/CHIP coverage on female immigrants’ healthcare utilization and infant’s health outcomes.
“Explaining Health Disparities in the Sexual Minority Population: The Role of Neighborhood Effects” Matthew Ruther (University of Louisville) and Ning Hsieh (Michigan State University)
Although the idea of “neighborhood effects” is well-established in the health literature, whether these effects are different for sexual minority/LGBT populations is unknown. The aim of this research is use data from the National Health Interview Survey from 2013-2016, along with summary tract-level data from the American Community Survey, to model health outcomes and access to care of LGBT individuals, relative to straight individuals, accounting for differences in individual factors and structural characteristics of the neighborhood.
“The Impacts of the Access to Prenatal Care on the Benefits of Next Generation: Using the CHIP Unborn Child Option” Grace Hwang (Ohio State University)
Using the National Health Interview Survey from 1998-2014, this study investigates the impact of the prenatal care eligibility on health outcomes during early childhood (from age 0 to 6). In 2002, the Department of Health and Human Services (HHS) allowed pregnant women to access to prenatal care regardless of legal immigration status, the ``CHIP unborn child option''. This project uses this state-level variation in whether to opt in and the timing of policy adoption to identify whether the reform affected health among young children.
Projects Using Data from the Agency for Healthcare Research and Quality
“Impacts of the Affordable Care Act on Health Care Utilization” Charles Courtemanche (University of Kentucky)
The proposed research will use data from the Medical Expenditure Panel Survey to investigate the impacts of the Affordable Care Act (ACA) on the health care utilization and expenditures of non‐elderly adults. The research will utilize a difference‐in‐difference‐in-differences model with the differences coming from time, state Medicaid expansion status, and local area pre‐treatment uninsured rate. This model will allows us to disentangle the causal effect of the ACA from the underlying time trend while also accounting for the possible endogeneity of state Medicaid expansion decisions. The proposed research will move past estimating impacts on health insurance outcomes to also examine numerous outcomes related to health care utilization. These outcomes will include frequency of and expenditures on: physician and non‐physician office visits; inpatient, outpatient, and emergency room hospital visits; and prescription drugs.
KRDC also hosts several internal Census Bureau projects