We describe a methodology for making counterfactual predictions when the information held by strategic agents is a latent parameter. The analyst observes behavior which is rationalized by a Bayesian model in which agents maximize expected utility, given partial and differential information...

We describe a methodology for making counterfactual predictions when the information held by strategic agents is a latent parameter. The analyst observes behavior which is rationalized by a Bayesian model in which agents maximize expected utility given partial and differential information about...

A principal acquires information about a shock and then discloses it to an agent. After the disclosure, the principal and agent each decide whether to take costly preparatory actions that yield mutual benefits but only when the shock strikes. The principal maximizes his expected payoff by ex...

We study forecast dispersion in a finite-player forecasting game modeled as an aggregate game with payoff externalities and dispersed information. In the game, each agent cares about being accurate as well as about the distance of his forecast from the average forecast; and with a finite number...

Artificially intelligent (AI) applications make data-driven predictions that enable personalization on a large scale. As such, recent advances in AI's predictive power might have the potential to create more productive work environments. Using a principal-agent model and understanding AI as...

This study presents and provides an explanation for a novel stylized fact: both high-performing public companies as well as more troubled companies withhold issuing guidance. We assume that the manager's ability affects the level of earnings and the accuracy of the guidance, but issuing a...

We consider games where an analyst is not confident about players' true information structure for payoff-relevant parameters. We define a robust prediction by a set of action profiles such that, given any information structure among the players, there is a Bayesian Nash equilibrium given that...

We conduct laboratory experiments on variants of market scoring rule prediction markets, under different information distribution patterns, in order to evaluate the efficiency and speed of information aggregation, as well as test recent theoretical results on manipulative behavior by traders. We...

Empiricists document that firms more often voluntarily disclose bad news than good news and link this pessimism to managers' increased incentives not to fall short of earnings expectations. This paper analyzes the voluntary disclosure of a manager's private information by explicitly considering...