Recent Medicare legislation seeks to improve patient care quality by financially penalizing providers for hospital-acquired infections (HAIs). However, Medicare cannot directly monitor HAI rates, and instead relies on providers accurately self-reporting HAIs in claims to correctly assess...

This paper explores whether Big Data, taking the form of extensive high dimensional records, can reduce the cost of adverse selection by private service providers in government-run capitation schemes, such as Medicare Advantage. We argue that using data to improve the ex ante precision of...

Random graph generation is an important tool for studying large complex networks. Despite abundance of random graph models, constructing models with application-driven constraints is poorly understood. In order to advance state-of-the-art in this area, we focus on random graphs without short...

In a model with cheap talk, employers can send messages about their willingness to pay for higher ability workers, which job-seekers can use to direct their search and tailor their wage bid. Introducing such messages leads--under certain conditions--to an informative separating equilibrium which...