Agents in a network want to learn the true state of the world from their own signals and their neighbors' reports. Agents know only their local networks, consisting of their neighbors and the links among them. Every agent is Bayesian with the (possibly misspecified) prior belief that her local...

Agents in a network want to learn the true state of the world from their own signals and their neighbors' reports. Agents know only their local networks, consisting of their neighbors and the links among them. Every agent is Bayesian with the (possibly misspecified) prior belief that her local...

Agents in a network want to learn the state of the world from their own signals and their neighbors' reports. But they are cognitively-constrained: they have finite and heterogeneous cognitive abilities. We model cognitive ability as a measure of their sophistication when they reason on behalf...

Multiple candidates (senders) compete over an exogenous number of jobs. There are different tasks in which the candidates' unobservable ability determines their probability of success. We study a signaling game with multiple senders each choosing one task to perform, and one receiver who...