This paper studies an identification problem that arises when clinicians seek to personalize patient care by predicting health outcomes conditional on observed patient covariates. Let y be an outcome of interest and let (x=k, w=j) be observed patient covariates. Suppose a clinician wants to...

Aimed at pandemic preparedness, we construct a framework for integrated epi‐econ assessment that we believe would be useful for policymakers, especially at the early stages of a pandemic outbreak. We offer theory, calibration to micro‐, macro‐, and epi‐data, and numerical methods for...

We integrate an epidemiological model, augmented with contact and mobility analyses, with a two‐sector macroeconomic model, to assess the economic costs of labor supply disruptions in a pandemic. The model is designed to capture key characteristics of the U.S. input-output tables with a core...

Using a large set of private health insurance claims, we estimate how physicians’ financial incentives affect their treatment choices in heart attack management. Different insurance plans pay physicians different amounts for the same services, generating the required variation in financial...