possibility for learning to act as coordination device. We build on the framework proposed by Angeletos and Pavan (2007) and … adaptive and eductive learning obtain, and show that adaptive learning conditions are less demanding than the eductive ones: in … in the economy. We also show that adaptive learning dynamics converge to the game theoretical strategic equilibrium …

by belief hysteresis, where learning in active regime fuels optimism, propelling an expansion. After an inevitable regime …

demonstrate that these finding are robust to lag specifications for the ARDL models and parameter specifications for the learning …

in generating the same relationship. However, allowing a small deviation from RE by introducing learning mechanism can …

of the games and we find significant cycles that were omitted by the authors. So we suggest that all of the treatments …

This paper studies learning in monotone Bayesian games with one-dimensional types and finitely many actions. Players … switch between actions at a set of thresholds.  A learning algorithm under which players adjust their strategies in the … equilibrium is shown in the case of supermodular games and potential games. …

“structurally similar” games. These spillovers are inconsistent with existing theories of learning in games. …We conduct a laboratory experiment and provide evidence of learning spillovers within and across equivalence classes of …

when an easily divisible number of options are used. Positive learning is suggested in patterns of choices with …

matched to interact in finitely repeated games. They form beliefs by learning from past behavior of others and then best …” efficiency condition. We then characterize stochastically stable states in a class of 2×2 games and show that under certain … conditions the efficient action in Prisoner's Dilemma games and coordination games can be singled out as uniquely stochastically …