-rational inferences, drive herd behavior. In Experiment 1, unobserved, whose actions remain private, learn from the public actions made in … actions that contradict their high quality signals they herd more extensively than predicted by Bayes-rational herding …-Bayesian updating and informational misinferences are the two channels that drive excessive herding, while the strong (resp. mild …

subjects follow the herd when it is rational, and this herding behavior occurs more frequently if there is a pronounced …

-rational inferences, drive herd behavior. In Experiment 1, unobserved, whose actions remain private, learn from the public actions made in … actions that contradict their high quality signals they herd more extensively than predicted by Bayes-rational herding …-Bayesian updating and informational misinferences are the two channels that drive excessive herding, while the strong (resp. mild …

Lecture on the first SFB/TR 15 meeting, Gummersbach, July, 18 - 20, 2004: We report results of an internet experiment … subjects, including a subsample of 267 consultants from an international consulting firm, participated in the experiment. As … predicted by theory, we find that the presence of a flexible market price prevents herding. However, the presence of contrarian …

Most real world situations that are susceptible to herding are also characterized by direct payoff externalities. Yet …, the bulk of the theoretical and experimental literature on herding has focused on pure informational externalities. In … effects, first-mover advantage, etc.) in a standard information-based herding model. Our results are based on an internet …

. We report results of a computational experiment with markets populated by simple algorithmic traders who follow two …