To study coordination in complex social systems such as financial markets, the authors introduce a new prediction market set-up that accounts for fundamental uncertainty. Nonetheless, the market is designed so that its total value is known, and thus its rationality can be evaluated. In two...

We provide a tractable characterization of the sharp identification region of the parameters ø in a broad class of incomplete econometric models. Models in this class have set valued predictions that yield a convex set of conditional or unconditional moments for the observable model variables....

The standard interval forecasting task is modified, asking subjects to provide point predictions for future returns and assess the likelihood of fixed length intervals around their point estimates. The difference between the subjective likelihood estimates and the realized hit rate is advanced...

We analyze tournaments of heterogeneous players from an organizer's perspective. Using a simple model of a noisy tournament, we demonstrate how the likelihood of selecting the best player, here termed the "predictive power" of a tournament, depends on the tournament format, the distribution of...

We experimentally investigated the relationship between participants' reliance on algorithms, their familiarity with the task, and the performance level of the algorithm. We found that when participants could freely decide on their final forecast after observing the one produced by the algorithm...

Initial applications of prediction markets (PMs) indicate they provide good forecasting instruments in many settings, such as elections, the box office, or product sales. One particular characteristic of these “first-generation” (G1) PMs is that they link the payoff value of a stock's share...