Prediction markets are a popular structure for a collective intelligence platform. The exact mechanism by which information known to the participating traders is incorporated into the market price is unknown. This paper demonstrates a novel method derived from the Kyle (1985) model for price...

We study how markets help spread knowledge about solutions to the standard but computationally hard problem of maximizing value over indivisible goods subject to a budget constraint. In a first experiment, we f ind that complete markets are fairly ineffective. Still, participants use prices and...

We study the Efficient Markets Hypothesis (EMH) in a setting where information heterogeneity emerges because securities valuation requires solving an NP-hard problem. We demonstrate experimentally that the quality of prices deteriorates substantially as computational complexity increases....

We propose a technique for assessing robustness of behavioral measures and treatment effects to experimenter demand effects. The premise is that by deliberately inducing demand in a structured way we can measure its influence and construct plausible bounds on demand-free behavior. We provide...

We propose a technique for assessing robustness of behavioral measures and treatment effects to experimenter demand effects. The premise is that by deliberately inducing demand in a structured way we can measure its influence and construct plausible bounds on demand-free behavior. We provide...