We study the perfect Bayesian equilibria of a sequential model of social learning in networks where agents learn about a state of the world by observing the actions of their neighbors. In contrast with prior work, we do not assume that the agents' sets of neighbors are mutually independent. We...

We study how to optimally attract new customers using a referral program. Whenever a consumer makes a purchase, the firm gives her a link to share with friends, and every purchase coming through that link generates a referral payment. The firm chooses the referral payment function and consumers...

Disagreement, including on matters of fact, is a pervasive phenomenon, yet this is incompatible with existing work on social learning. I propose a model of information processing with two key features: (i) the agent encounters false information, and (ii) the agent cannot distinguish true...