This paper introduces a model of boundedly rational observational learning, which is rationally founded and applicable …

understand better how subjects with different cognitive abilities learn differently, we estimate a structural model of learning … ability to that of character skills, and find that both cognition and personality affect behavior and learning. More agreeable …

We analyze boundedly rational learning in social networks within binary action environments. We establish how learning … induces learning (i.e., convergence to the optimal action for every agent in every connected network) only in highly … asymmetric environments. In all other environments learning fails in networks with a diameter larger than four. Finally, we …

dynamics considerably differ between gain and loss domains. For gains, learning to be comparably ambiguity averse increases the …

How do people learn? We assess, in a distribution-free manner, subjects' learning and choice rules in dynamic two …-armed bandit (probabilistic reversal learning) experiments. To aid in identification and estimation, we use auxiliary measures of … subjects' beliefs, in the form of their eye-movements during the experiment. Our estimated choice probabilities and learning …