This paper studies the effect of trade opportunities on a seller's incentive to acquire information through experimentation. I characterize the unique equilibrium outcome and discuss the effects of variations in the information structure on the probability of trade. The main result is that more...

This paper proposes a model of learning about a game. Players initially have little knowledge about the game. Through playing the identical game repeatedly, each player not only learns which action to choose but also constructs his personal view on the game. The model is studied using a hybrid...

Can algorithms help people predict behavior in high-stakes prisoner’s dilemmas? Participants watching the pre-play communication of contestants in the TV show Golden Balls display a limited ability to predict contestants’ behavior, while algorithms do significantly better. We provide...

Psychologists have long recognized two kinds of learning: one that is relatively shallow and domain-specific; and another that is deeper, producing generalizable insights that transfer across domains. The game theory literature has only recently considered this distinction, and the conditions...

Overbidding in second-price auctions (SPAs) has been shown to be persistent and associated with cognitive ability. We study experimentally to what extent cross-game learning can reduce overbidding in SPAs, taking into account cognitive skills. Employing an order-balanced design, we use...

This paper studies how updating affects ambiguity-attitude. In particular we focus on the generalized Bayesian update of the Jaffray-Phillipe sub-class of Choquet Expected Utility preferences. We find conditions for ambiguity-attitude to be the same before and after updating. A necessary and...

This paper proposes a model of how biased individuals update beliefs in the presence of informational ambiguity. Individuals are ambiguous about the actual signal-generating process and interpret signals according to the model that can best support their biases. This paper provides a complete...