Dame for their helpful comments. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peerreviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

We study the effect of public health insurance on labor supply by exploiting a large public health insurance disenrollment. In 2005, approximately 170,000 Tennessee residents abruptly lost Medicaid coverage. Using both across- and within-state variation in exposure to the disenrollment, we estimate large increases in labor supply, primarily along the extensive margin. The increased employment is concentrated among individuals working at least 20 hours a week and receiving private, employer-provided health insurance. We explore the dynamic effects of the disenrollment and find an immediate increase in job search behavior and a steady rise in both employment and health insurance coverage following the disenrollment. Our results are consistent with a significant degree of “employment lock”—workers who are employed primarily to secure private health insurance coverage.

One pillar of the Affordable Care Act (ACA) was its expected impact on the growing burden of uncompensated care costs for the uninsured at hospitals. However, little is known about how this burden changed as a result of the ACA's enactment. We examine how the Affordable Care Act (ACA)'s coverage expansions affected uncompensated care costs at a large, diverse sample of hospitals. We estimate that in states that expanded Medicaid under the ACA, uncompensated care costs decreased from 4.1 percentage points to 3.1 percentage points of operating costs. The reductions in Medicaid expansion states were larger at hospitals that had higher pre-ACA uncompensated care burdens and in markets where we predicted larger gains in coverage through expanded eligibility for Medicaid. Our estimates suggest that uncompensated care costs would have decreased from 5.7 percentage points to 4.0 percentage points of operating costs in nonexpansion states if they had expanded Medicaid. Thus, while the ACA decreased the variation in uncompensated care costs across hospitals within Medicaid expansion states, the difference between expansion and nonexpansion states increased substantially. Policy makers and researchers should consider how the shifting uncompensated care burden affects other hospital decisions as well as the distribution of supplemental public funding to hospitals.

We study the effect of public health insurance eligibility on labor supply by exploiting the largest public health insurance disenrollment in the history of the United States. In 2005, approximately 170,000 Tennessee residents abruptly lost public health insurance coverage. Using both across-and within-state variation in exposure to the disenrollment, we estimate large increases in labor supply, primarily along the extensive margin. The increased employment is concentrated among individuals working at least 20 hours per week and receiving private, employer-provided health insurance. We explore the dynamic effects of the disenrollment and find an immediate increase in job search behavior and a steady rise in both employment and health insurance coverage following the disenrollment. Our results suggest a significant degree of "employment lock" -workers employed primarily in order to secure private health insurance coverage. The results also suggest that the Affordable Care Act -which similarly affects adults not traditionally eligible for public health insurance -may cause large reductions in the labor supply of low-income adults.

The 1993 expansions of the Earned Income Tax Credit created the first meaningful separation in benefits between families containing two or more children and those with only one child. If income is protective of health, we should see improvements over time in the health for mothers eligible for these higher EITC benefits. Using data from the Behavioral Risk Factors Surveillance Survey, we find improvements in self-reported health for affected mothers. Using data from the National Health and Nutrition Examination Survey, we find reductions in the probability of having risky levels of biomarkers for these same women. (JEL H24, I12, I14, J16)