We study compliance dynamics generated by a large set of behavioral rules describing social interaction in a population … cheating-auditing occurs: Intensive monitoring induces compliance, but with high compliance there is incentive for lax … monitoring; with less monitoring, compliance starts decreasing, and then there is an incentive to intensify monitoring. Thus, the …

preventative approaches towards undeclared work. The aim of this learning resource is to document for each preventative approach …

We show how experience and dynamic learning processes reduce the obstacles to optimization imposed by information …

We study evolutionary learning processes through social networks. We show that network heterogeneity, in particular … scale-freeness, enhances social learning by studying a model in which an agent set on a network imitates the strategy only … who plays with whom) or the heterogeneity of the learning network (which determines who learns from whom) that enhances …

We develop a dynamic model of opinion formation in social networks when the information required for learning a payoff … though the neighbors’ views may be quite inaccurate). This non-Bayesian learning rule is motivated by the formidable …

This paper examines social learning when only one of the two types of decisions is observable. Because agents arrive …, as in the standard model, learning is complete if and only if signals are unbounded. If signals are bounded, cascades may …

We exhibit a natural environment, social learning among heterogeneous agents, where even slight misperceptions can have … a large negative impact on long-run learning outcomes. We consider a population of agents who obtain information about … information aggregation can be improved by simplifying agents’ learning environment. The key feature behind our findings is that …

The paper investigates social-learning when the information structure is not commonly known. Individuals repeatedly … interact in social-learning settings with distinct information structures. In each round of interaction, they use their … behavior in the long-run if and only if individuals distinguish social-learning settings and receive rich feedback after each …

Crowd-sourced recommender platforms organize social learning about products by recommending items based on information … study how market structure affects experimentation, social learning, and welfare. I present a model of competing platforms …