We estimate nonparametric learning rules using data from dynamic two-armed bandit (probabilistic reversal learning … the estimation of dynamic models. The direct estimation of learning rules differs from the usual modus operandi of the … experimental literature. The estimated choice probabilities and learning rules from our nonparametric models have some distinctive …

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 …

econometric learning scheme as proposed by Laubach, Tetlow, and Williams (2007) in the estimation and compare the results to those … form their expectations according to the learning approach. …

We develop a dynamic learning model to study money adoption. Agents own an asset that can potentially serve as money … distribution of dividends and based on the learning outcomes they coordinate to adopt the asset as money or to abandon it. We …