We analyze the offering, asking, and granting of help or other benefits as a three-stage game with bilateral private information between a person in need of help and a potential help-giver. Asking entails the risk of rejection, which can be painful: since unawareness of the need can no longer be...

We study specialized lending in a credit market competition model with private information. Two banks, equipped with similar data processing systems, possess "general" signals regarding the borrower's quality. However, the specialized bank gains an additional advantage through further...

We study a model of retrospective search in which an agent--a researcher, an online shopper, or a politician--tracks the value of a product. Discoveries beget discoveries and their observations are correlated over time, which we model using a Brownian motion. The agent, a standard exponential...

We compare how well agents aggregate information in two repeated social learning environments. In the first setting agents have access to a public data set. In the second they have access to the same data, and also to the past actions of others. Despite the fact that actions contain no...

Are individuals who trust others better off than those who do not? Do trustworthy people prosper more than untrustworthy ones? We first pose these questions in a search model where individuals face repeated choices between trusting (initiating an investment transaction) and not trusting, and...

This paper proposes an estimation method for a repeated auction game under the presence of capacity contraints. The estimation strategy is computationally simple as it does not require solving for the equilibrium of the game. It uses a two stage approach. In the first stage the distribution of...

We study the effects of consumer information on equlibrium market prices and observable product quality in the market for child care. Child care markets offer a unique opportunity to study these effects because of the existence of resource and referral agencies (R&Rs) in some markets. R&Rs...

Novel empirical insights by their very nature tend to be unanticipated, and in some cases at odds with the current state of knowledge on the topic. The mechanics of statistical inference suggest that such initial findings, even when robust and statistically significant within the study, should...

This paper develops a theoretical foundation for the social cost of carbon (SCC). The model highlights the source of debate over whether countries should use the global or domestic SCC for regulatory impact analysis. I identify conditions under which a country's decision to internalize the...

We introduce the possibility of direct punishment by specialized enforcers into a model of community enforcement. Specialized enforcers need to be given incentives to carry out costly punishments. Our main result shows that, when the specialized enforcement technology is sufficiently effective,...