We suggest a test for discovering whether a potential expert is informed of the distribution of a stochastic process. In a non-Bayesian non-parametric setting, the expert is asked to make a prediction which is tested against a single realization of the stochastic process. It is shown that by...

Conditions of information independence are important in information economics and game theory. We present notions of partial independence in Bayesian environments, and study their relationships to notions of common knowledge. -- Bayesian games ; independent types ; common knowledge

In Bayesian environments with private information, as described by the types of Harsanyi, how can types of agents be (statistically) disassociated from each other and how are such disassociations reflected in the agents’ knowledge structure? Conditions studied are (i) subjective independence...

Why do some markets remain illiquid even when there is a positive gain from trade? In order to understand the real determinants of market liquidity in decentralized markets, we are going to analyze this question in a competitive market setting when both search frictions and adverse selection...