We consider the spread of a harmful state through a population divided into two groups. Interaction patterns capture the full spectrum of assortativity possibilities. We show that a central planner who aims for eradication optimally either divides equally the resources across groups, or...

We study learning in a setting where agents receive independent noisy signals about the true value of a variable and then communicate in a network. They naïvely update beliefs by repeatedly taking weighted averages of neighbors' opinions. We show that all opinions in a large society converge to...

We build an overlapping generations model where an individual sees higher returns to adopting a behavior as many neighbors adopt the behavior. We show that overlap in the state of a parent and child's neighborhood can lead to correlation in parent-child behavior independent of any parent-child...