games offer new opportunities to identify learning rules, since on networks (compared to e.g. random matching) more rules … participants choose and which information they consult before making their choices. We use this information to estimate learning … types using maximum likelihood methods. There is substantial heterogeneity in learning types. However, the vast majority of …

This paper studies the learning process carried out by two agents who are involved in many games. As distinguishing all …. Partitions of higher cardinality are more costly. A process of simultaneous learning of actions and partitions is presented and … equilibrium partitions and action choices characterized. Learning across games can destabilize strict Nash equilibria even for …

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

matched to interact in finitely repeated games. They form beliefs by learning from past behavior of others and then best …

there are learning spillovers across games but participants learn to play strategically equivalent games in the same way …

policymakers, learning from the experience of the 1970s, eschewed activist policies in favor of policies that concentrated on the …

, learning from the experience of the 1970s, eschewed activist policies in favor of policies that concentrated on the achievement …

: rational expectations and learning. We show that in this environment the ability to stabilize the real side of the economy is … private learning and misperceptions of natural rates call for greater policy inertia, a more aggressive response to inflation … economy. We show that such policies are quite robust to potential misspecification of private sector learning and the …