Lisa Dubay, Ph.D, is a Senior Fellow in the Urban Institute’s Health Policy Center. Dr. Dubay is a nationally recognized expert on the Medicaid and CHIP programs. She is a health services researcher who has focused on evaluating the effects of public policies on access to care, health care utilization, health outcomes and health insurance coverage using quasi-experimental designs. She is currently involved in major evaluations of delivery system reform where she is leading the quantitative impact analysis of the Strong Start II demonstration testing the use of alternative evidence based prenatal care delivery practices on birth outcomes for Medicaid covered women. Dr. Dubay co-directs the Urban Institute’s cross-center initiative on the Social Determinants of Health where she works with researchers across the Institute’s policy centers. She has written extensively on race, income and place-based disparities in health and the environments in which individuals, live, learn, work and play.
Greater scheduling predictability may reduce parental stress and increase child care stability, job stability, and income. Researchers will use qualitative and quantitative methods to evaluate the implementation of the Oregon law and analyze the impacts on family and child health outcomes.
Birth outcomes, including infant mortality and low birth weight, are shockingly poor in the U.S. Researchers will assess whether the ACA increased intended pregnancies, reduced prepregnancy smoking, and affected contraception and birth outcomes among women covered by Medicaid--and whether these changes reduced disparities across racial and ethnic groups.
Federal housing assistance benefits 11 million people through three main programs: public housing, project-based Section 8 housing, and housing choice vouchers. Researchers use multiple datasets to examine the effects of federal housing assistance programs on food security, health-promoting behaviors, and health outcomes.
The advent of just-in-time scheduling technology and practices in the mid-1990s has led to increased schedule instability, resulting in a growing movement to address the need for predictable, stable schedules for workers paid low wages. Unstable schedules have been associated with earnings instability, increased stress and fatigue, sleep irregularity, and worse mental health outcomes for workers. In this report, P4A researchers Amelia Coffey, Eleanor Lauderback and H. Elizabeth Peters, along with their partners at the University of Oregon’s Department of Sociology Lola Loustaunau, Larissa Petrucci, Ellen Scott and Lina Stepick, examine Oregon’s implementation of S.B. 828, the first statewide predictive scheduling law in the nation, in its first year.
The Earned Income Tax Credit (EITC) is one of the largest safety net programs in the United States. In 2019, the EITC reached 25 million tax filers at a total cost of $63 billion. Using variation in the federal and state EITC, Breno Braga, Fredric Blavin and Anuj Gangopadhyaya evaluated the long-term impact of EITC exposure during childhood on the health of young adults.
While Earned Income Tax Credit expansions are typically associated with improvements in maternal mental health, little is known about the mechanisms through which the program affects this outcome. Anuj Gangopadhyaya, Fredric Blavin, Jason Gates, and Breno Braga of the Urban Institute assess the impact of more than two decades of federal expansions in EITC credits and the implementation of state-specific EITC programs on maternal mental health in a new working paper.