We study a general static noisy rational expectations model, where investors have private information about asset payoffs, with common and private components, and about their own exposure to an aggregate risk factor, and derive conditions for existence and uniqueness (or multiplicity) of...

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 underlying economic structure and its own preference....

Using a unique dataset on health club attendance from Quebec, we look at the relationship between actual and expected attendance and how these relate to a reported measure of self-control problems at the time of contract signing. We find that a large majority of contract choices appear...

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 experience gained in past rounds to draw inferences from...

We study the effects of overconfidence in a two-period investment-decision agency setting. Under common priors, agent risk aversion implies inefficiently low first-period investment. In our model, principal and agent disagree about the profitability of the investment decision conditional on a...

Agents forming adaptive expectations generally make systematic mistakes. This characterization has fostered the rejection of adaptive expectations in macroeconomics. Experimental evidence, however, shows that in complex environments human subjects frequently rely on adaptive heuristics –...

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 formation of expectations at the micro-level, by...

Using a long-panel dataset of Japanese firms that contains firm-level sales forecasts, we provide evidence on firm-level uncertainty and imperfect information over their life cycle. We find that firms make non-negligible and positively correlated forecast errors. However, they make more precise...

This paper estimates a New Keynesian model with new and old behavioral elements. Agents in the model exhibit cognitive discounting, or myopia: they discount variables far into the future at higher rates than typically implied in the benchmark model. We investigate the model under different...

We study the inference and experimentation problem of an agent in a situation where the outcomes depend on the individual's intrinsic ability and on an external variable. We analyze the mistakes made by decision-makers who hold inaccurate prior beliefs about their ability. Overconfident...