We provide new insights regarding the finding that Medicaid increased emergency department (ED) use from the Oregon experiment. We find meaningful heterogeneous impacts of Medicaid on ED use using causal machine learning methods. The treatment effect distribution is widely dispersed, and the...

We provide new insights into the finding that Medicaid increased emergency department (ED) use from the Oregon experiment. Using nonparametric causal machine learning methods, we find economically meaningful treatment effect heterogeneity in the impact of Medicaid coverage on ED use. The effect...

The Affordable Care Act (ACA) aims to mitigate Americans’ uninsured crisis by expanding Medicaid and establishing the ACA Marketplace. The Medicaid expansion has a profound impact on Marketplace plan premiums. On the one hand, it lowers the premiums because the expansion drives out the people...

Implementation of the Affordable Care Act (ACA) has been linked to an increase in the population covered by health insurance through expansions of the Medicaid program and revisions to private health insurance markets. We add to the body of literature on unintended consequences of the ACA by...

This paper studies a market for a medical product in which there is perfect competition among health insurers, while the good is sold by a monopolist. Individuals differ in their severity of illness and there is ex post moral hazard. We consider two regimes: one in which insurers use coinsurance...

In 2003 the Government of Ghana established a National Health Insurance Scheme (NHIS) to improve health care access for Ghanaians and eventually replace the cash and-carry system. This study evaluates the NHIS to determine whether it is fulfilling its purpose in the context of the Millennium...

This paper investigates the short-run impact of public insurance expansion under the Affordable Care Act on out-of-pocket medical spending (OOP) and risk exposure among low-income, eligible households as well as the incidence of the cost of providing insurance. Using data from the Medical...