We formalize the optimal design of experiments when there is interference between units, i.e. an individual's outcome depends on the outcomes of others in her group. We focus on randomized saturation designs, two-stage experiments that first randomize treatment saturation of a group, then...

This paper studies how persistence can be used to create incentives in a continuous-time stochastic game in which a long-run player interacts with a sequence of short-run players. Observation of the long-run player's actions are distorted by a Brownian motion and the actions of both players...

We explore model misspecification in an observational learning framework. Individuals learn from private and public signals and the actions of others. An agent's type specifies her model of the world. Misspecified types have incorrect beliefs about the signal distribution, how other agents draw...

I study how the persistence of past choices can be used to create incentives in a continuous time stochastic game in which a large player, such as a firm, interacts with a sequence of short-run players, such as customers. The long-run player faces moral hazard and her past actions are...

This paper develops a general framework to study how misinterpreting information impacts learning. Our main result is a simple criterion to characterize long-run beliefs based on the underlying form of misspecification. We present this characterization in the context of social learning, then...