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 …

The adaptive learning approach has been fruitfully employed to model the formation of aggregate expectations at the … macroeconomic level, as an alternative to rational expectations. This paper uses adaptive learning to understand, instead, the … sentiment, defined as the degrees of excess optimism and pessimism that cannot be justified by the near-rational learning model …

infinite-horizon learning, and subjective expectations with Euler-equation learning. Under rational expectations, the model … necessitates of large, possibly unrealistically so, degrees of myopia. The same result persists under infinite-horizon learning …, given that agents are still remarkably far-sighted. But, under Euler-equation learning, the model can fit the data with only …

We develop a model of firm learning in volatile markets with noisy signals and test its predictions using historical … improvements from learning are faster where market signals are noisier. …

demand. The former learning effect, combined with the latter real-options effect, adversely affect firms' entry decisions and …

-term relationships were more resilient in the 2008/9 financial crisis. Based on these findings, we present a model of importer learning …

This exercise offers an innovative learning mechanism to model economic agent's decision-making process using a deep … reinforcement learning algorithm. In particular, this AI agent is born in an economic environment with no information on the … adjusting its actions accordingly (i.e., online learning). I illustrate that the economic agent under deep reinforcement …

will update her beliefs upwards more often than not. As a consequence, the agent overestimates the benefits of learning …