all stylized facts observed in aggregate price fluctuations and individual forecasting behaviour in recent learning to …

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 …

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

equilibrium of the game does not organize the individual data, two individual learning models are studied: one following a … predictive value of such learning models is found to be poor. …

unknown value. A winner’s curse phenomenon arises when subjects bid too high and make losses. Learning direction theory can … quantitative predictions on the basis of learning direction theory. We also look at monotonic ladder processes. It is shown that …

Our study analyzes theories of learning for strategic interactions in networks. Participants played two of the 2 x 2 … order shown by Selten and Chmura. This result supports our view that learning in networks is different from learning in …

Bidding challenges learning theories since experiences with the same bid vary stochastically:the same choice can result … learning theories. Our experimental results suggest that a version of reinforcementlearning which accounts for loss aversion …