We develop a structural demand model that endogenously captures the effect of out-of-stocks on customer choice by simulating a time-varying set of available alternatives. Our estimation method uses store-level data on sales and partial information on product availability. Our model allows for...

We study capacity rationing by servers facing differentiated customer classes using data from the Veterans Health Administration, which is the largest integrated healthcare system in the US. Using over 11 million health encounters over two years in which the system was capacity constrained, our...

Technologies that enable ``e-visits'' -- remote interactions between patients and physicians -- are touted as a way to improve and expand primary care. We study a setting in which a physician can divert some of the patient demand away from the office visits and into the e-visits, which utilize...

We develop a structural demand model that captures the effect of out-of-stocks on customer choice. Our estimation method uses store-level data on sales and partial information on product availability. Our model allows for flexible substitution patterns which are based on utility maximization...

In a wide variety of organizational settings, teams generate a number of possible solutions to a problem, and then select a few for further investigation. We examine the effectiveness of two creative problem solving processes for such tasks - one, where the group works together as a team (the...

Connected healthcare is a form of health delivery that connects patients and providers through connected health devices, allowing providers to monitor patient behavior and proactively intervene before an adverse event occurs. Unlike the costs, the benefits of connected healthcare in improving...