We propose a "common-agency" model for explaining inefficient contracting in the U.S. healthcare system. In our setting, common-agency problems arise when multiple payers seek to motivate a shared provider to invest in improved care coordination. Our approach differs from other common-agency...

We bound the distribution of treatment effects under plausible and testable assumptions on the joint distribution of potential outcomes, namely that potential outcomes are mutually stochastically increasing. We show how to test the empirical restrictions implied by those assumptions. The...

We propose a test for the identifying assumptions invoked in designs based on random assignment to one of many "judges.'' We show that standard identifying assumptions imply that the conditional expectation of the outcome given judge assignment is a continuous function with bounded slope of the...

The veterans disability compensation (VDC) program, which provides a monthly stipend to disabled veterans, is the third largest American disability insurance program. Since the late 1990s, VDC growth has been driven primarily by an increase in claims from Vietnam veterans, raising concerns about...

Accountable Care Organizations (ACOs) are new organizations created by the Affordable Care Act to encourage more efficient, integrated care delivery. To promote efficiency, ACOs sign contracts under which they keep a fraction of the savings from keeping costs below target provided they also...

Policies aiming to improve healthcare productivity often focus on reducing care fragmentation. Care fragmentation occurs when services are spread across many providers, potentially making coordination difficult. Using Medicare claims data, we analyze the effect of moving to a region with more...

Machine learning (ML) is mostly a predictive enterprise, while the questions of interest to labor economists are mostly causal. In pursuit of causal effects, however, ML may be useful for automated selection of ordinary least squares (OLS) control variables. We illustrate the utility of ML for...

The slow adoption of new agricultural technologies is an important factor in explaining persistent productivity deficits among smallholders in Sub-Saharan Africa (SSA). Farmers delay in particular the uptake of technology packages. Since knowledge constraints are an important barrier to...