creating the attention-shift. Double Machine Learning approach is then used to obtain statistical inferences of these empirical …

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 …

learning, choosing among a set of alternative forecasting models. The analysis is accompanied by empirical evidence on the …

and non-Bayesian models of social learning and focus on the implications of the form of learning (e.g., Bayesian vs. non … individuals are situated on three key questions: (1) whether social learning will lead to consensus, i.e., to agreement among … individuals starting with different views; (2) whether social learning will effectively aggregate dispersed information and thus …

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 …

agents employ the same recursive learning rule to update beliefs but are characterized by different memory parameters. The … peculiarity of the learning mechanism is that the learning rate is not vanishing in the limit. Differently from what is obtained … in the case of a vanishing learning step, i.e., the stability conditions in the heterogeneous agents case are those of …

policy rules: the assumed manner of expectations formation. Following a considerable literature on learning, it is assumed … learning dynamics converge to the equilibrium predicted by rational expectations equilibrium analysis. This question is … any of a broad class of specifications of the learning dynamics. This suggests the Taylor rule to be desirable from the …

This chapter provides a survey of the recent work on learning in the context of macroeconomics. Learning has several … roles. First, it provides a boundedly rational model of how rational expectations can be achieved. Secondly, learning acts … as a selection device in models with multiple REE (rational expectations equilibria). Third, the learning dynamics …