misspecified models. Under model misspecification, standard Bayesian learning loses its formal justification and biased learning … processes may provide a selection advantage. However, considering two cases of model misspecification and four learning … processes, our analysis reveals a general difficulty in ranking learning behaviors with respect to their long-run performances …

agent they consider is characterized by an imperfect learning model. An interesting question that emerges is if, and to what …

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 …

makers. We ask whether there exist "full learning'' equilibria - ones in which the players' posterior beliefs eventually …. Surprisingly, in the latter case full learning may be impossible even in the limit as all players become infinitely patient. We …. In this case full learning equilibria exist …

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 …

Retailers may face uncertainty about the profitability of local markets, which provide opportunities for learning when … retail entry with uncertainty and learning (from others). Using novel data about fast food chains, I estimate the model with … firm beliefs about market profitability. The estimates confirm the presence of uncertainty and learning. Most importantly …

. We find that the firm encourages social learning for a greater range of beliefs and has greater expected revenue when it …

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 …

and they cannot observe other agents' actions or payoffs. Theory shows that even when players have no such information …, simple payoff-based learning rules eventually lead to equilibrium. Such rules have previously been documented for some forms … laboratory setting and finds strong confirmation for key features of payoff-based learning that distinguish it from classical …

speed of social learning and the seller's incentives to establish reputations. When each buyer privately observes a bounded … subset of the seller's past actions, the speed of social learning is strictly positive but vanishes to zero as the seller …, the speed of learning is bounded from below and a patient seller can secure high returns from building reputations. My …