Technological innovation in medical services can improve health, but its ability to reach patients often depends on price signals for downstream providers, which can also be discordant across production inputs. We examine such a context when Medicare sharply revises facility fees--while holding...

We study how the societal disruptions of the COVID-19 pandemic impacted diagnosis of a prevalent childhood mental health condition, Attention Deficit Hyperactivity Disorder (ADHD). Using both nationwide private health insurance claims and a single state's comprehensive electronic health records,...

Vaccines influence the course of pandemics both directly, by protecting the vaccinated, and indirectly, by reducing transmission to the unvaccinated, a key externality. Estimating direct effects is challenging because of selective vaccine take-up; estimating indirect effects also poses...

We study how the societal disruptions of the COVID-19 pandemic impacted diagnosis of a prevalent childhood mental health condition, Attention Deficit Hyperactivity Disorder (ADHD). Using both nationwide private health insurance claims and a single state's comprehensive electronic health records,...

This paper introduces the concept of a "trimmed aggregate ATT," which is a weighted average of a set of group-time average treatment effect on the treated (ATT) parameters identified in a staggered adoption difference-in-differences (DID) design. The set of identified group-time ATTs that...

Difference-in-Difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no...

We study the relationship between competition and price discrimination through an empirical examination of hourly price schedules in the parking garage industry. We find that the degree of price schedule curvature decreases with competition, implying a greater proportionate drop in low-end...

This paper provides a formal model of the Priest-Klein trial selection hypothesis, and extends the hypothesis as well. We derive the conditions under which the hypothesis is valid, and examine implications for the relationship between trial outcome uncertainty and litigation