We study the role of physicians in driving geographic variation of US healthcare utilization. We estimate a model that separates variation in average utilization of Medicare beneficiaries due to physicians, non-physician supply side factors, and patient demand. The model is identified by...

We use population administrative data from Sweden to study adherence to 63 medication-related guidelines. We compare the adherence of patients without personal access to medical expertise to the adherence of those with access, namely doctors and their close relatives. We estimate that, among...

This is an invited chapter for the forthcoming Volume 4 of the Handbook of Industrial Organization. We focus on "selection markets," which cover markets in which consumers vary not only in how much they are willing to pay for a product but also in how costly they are to the seller. The chapter...

We leverage spatial variation in the severity of the Great Recession across the United States to examine its impact on mortality and to explore implications for the welfare consequences of recessions. We estimate that an increase in the unemployment rate of the magnitude of the Great Recession...

This review article, which was solicited by the Geneva Risk and Insurance Review, surveys work that has been done using an empirical framework for analyzing selection in insurance markets developed by Einav, Finkelstein, and Cullen (2010). We briefly review that framework, and then describe a...

Over half of the U.S. population receives health insurance through an employer, with employer premium contributions creating a flat "head tax" per worker, independent of their earnings. This paper develops and calibrates a stylized model of the labor market to explore how this uniquely American...

We use linked survey and administrative data to document and decompose the striking differences across demographic groups in both economic and health impacts of the first year of the COVID-19 pandemic in the United States. The impacts of the pandemic on all-cause mortality and on employment were...

Medical technologies can target care to patients identified through screening, raising questions of how broadly to screen for potential use. We explore this empirically in the context of a non-invasive prenatal screening, cfDNA, which is used to target a more costly invasive test that elevates...

We investigate the role of person- and place-specific factors in the opioid epidemic by developing and estimating a dynamic model of risky prescription opioid use. We estimate the model using the relationship between cross-state migration and risky use among adults receiving federal disability...

We develop a stylized model that allows us to estimate a value-added measure for nursing homes ("SNFs") which accounts for patient selection both into and out of a SNF. We use the model, together with detailed data on the physical and mental health of about 6 million Medicare SNF patients...