In standard models of rational learning from experience, prior uncertainties and disagreements recede smoothly as common evidence accumulates. However, this presumes that the underlying risks are relatively stable. Otherwise, rational learners need to sift random noise for signs that the trend...

Under the assumption that individuals know the conditional distributions of signals given the payoff-relevant parameters, existing results conclude that as individuals observe infinitely many signals, their beliefs about the parameters will eventually merge. We first show that these results are...

We develop a dynamic two-period generalized beauty contest to study the optimal level of publicity when disclosed information is subject to multiplier effects inherent to social learning. We build upon the static case, where all agents receive a private signal about an unknown fundamental state...

We develop a dynamic two-period generalized beauty contest to study the optimal level of publicity when disclosed information is subject to multipliereffects inherent to social learning. We build upon the static case, where all agents receive a private signal about an unknown fundamental state...

We report two information cascade game experiments that directly test the impact of altruism on observational learning. Participants interact in two parallel sequences, the observed and the unobserved sequence. Only the actions of the observed entail informational benefits to subsequent...

This paper proposes a behavioral model of social learning that unies various forms of inferential reasoning in one hierarchy of types. Iterated best responses that are based on uninformative level-0 play lead to the following of the private information (level-1), to the following of the majority...