This paper aims at studying the effects of learning - seen as a possible source of individual heterogeneity - on team … strategies learned in the past, to the new situations faced. Learning processes, yet, are not based on the mechanical repetition … of the same choices (participants to this experiment proved, for example, in fact, to be able to imitate and replicate …

learning rule, a modification of win-stay lose-change, does predict convergence. We perform an experiment using modern economic …Reinforcement learning has proved quite successful in predicting subjects' adjustment behaviour in repeatedly played … simple games. However, reinforcement learning does not predict convergence to the efficient cell in the minimal information …

This paper aims at analysing the effects of learning on the individual behaviour in an experiment that requires … apply them also in other situations) and propose new hypothesis. Learning is not only based on a mechanical repetition of …

methodological issues. Then the attention is focused on the relevance of the experimental method for the analysis of learning and …

private information, leading to informational cascades and interruption of social learning. The second part reviews the second …

, results depend on the learning scheme that is employed. Here, the learning scheme we investigate is that of least …-squares learning (recursive OLS) using the Kalman filter. A novel feature of a learning- based policy – as against the central bank …

the help of econometric models. Agents use least squares learning to estimate two competing models of which one is … consistent with rational expectations once learning is complete. When past performance governs the choice of forecast model …