Observational learning theories often assume that people's actions can be observed. However, in many naturally-occurring environments, individuals can choose whether to disclose their behavior to others. We provide theoretical analysis of observational learning under optional disclosure...

Payments and discounts incentivize participation in many transactions about which people know little, but can learn more --- payments for medical trial participation, signing bonuses for job applicants, or price rebates on consumer durables. Who opts into the transaction when given such...

Do people know their own risk preferences, or do risk choices change with experience and observation? We provide a clean and straightforward test in the laboratory. People make an initial decision concerning a lottery choice and then experience 24 practice periods in which they roll the dice,...

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...

Game-theoretic models of learning are hard to study even in the laboratory setting due to econometric and practical concerns (like the limited length of an experimental session).In particular, as the simulations by (Salmon, 2001) show, in a cross-model (or "blind'') testing of several models,...

The indefinitely repeated prisoner's dilemma (IRPD) captures the trade-off between the short-term payoff from exploiting economic partners and the long-term gain from building successful relationships. We aim to understand more about how people form and use beliefs about others in the IRPD. To...

We aim to understand the role and evolution of beliefs in the indefinitely repeated prisoner’s dilemma (IRPD). To do so, we elicit beliefs about the supergame strategies chosen by others. We find that heterogeneity in beliefs and changes in beliefs with experience are central to understanding...

We aim to understand the role and evolution of beliefs in the indefinitely repeated prisoner's dilemma (IRPD). To do so, we elicit beliefs about the supergame strategies chosen by others. We find that heterogeneity in beliefs and changes in beliefs with experience are central to understanding...

This paper analyzes the main uncertainty of college saving - the child’s ability - in the context of the saving with learning model. The first section develops a dynamic model combining asset accumulation and learning to explain the parents’ forward-looking saving behavior when they are...

This paper proposes a new approach for modeling investor fear after rare disasters. The key element is to take into account that investors' information about fundamentals driving rare downward jumps in the dividend process is not perfect. Bayesian learning implies that beliefs about the...