Economists have devoted considerable resources to estimating local average treatment effects of expansions in Medicaid eligibility for children. In this paper we use random coefficients linear probability models and switching probit models to estimate a more complete range of effects of Medicaid...

We use a linear probability model with interactions and a switching probit model (SPM) to estimate heterogeneous effects of Medicaid expansions on Medicaid take-up, private insurance coverage and crowd-out. Specifically, we estimate: i) LATEs; ii) ATETs for the currently eligible; and iii) ATETs...

Single mothers are more likely to experience mental health problems and stress-related negative health behaviors, but a more generous safety net may improve these outcomes. We use a simulated safety net eligibility approach that accounts for interactions across safety net programs and relies on...

This paper studies the accuracy of reported Medicaid coverage in the Survey of Income and Program Participation (SIPP) using a unique data set formed by matching SIPP survey responses to administrative records from the State of California. Overall, we estimate that the SIPP underestimates...

Despite considerable research, there is little consensus about the impact of Medicaid eligibility expansions for low-income children. In this paper, I reexamine the expansions' impact on Medicaid take-up and private insurance "crowd-out." Focusing on the most influential estimates of the...

Using data from the 1988-1996 Current Population Surveys (CPS), we re-examine the evidence presented in Yelowitz (1995) showing that expansions in Medicaid eligibility for children were associated with increased labor force participation and reduced participation in Aid to Families with...

Panel surveys generally suffer from "seam bias"--too few transitions observed within reference periods and too many reported between interviews. Seam bias is likely to affect duration models severely since both the start date and the end date of a spell may be misreported. In this paper we...