We develop a belief-based account of decision under uncertainty. This model predicts decisions under uncertainty from (i) judgments of probability, which are assumed to satisfy support theory; and (ii) decisions under risk, which are assumed to satisfy prospect theory. In two experiments,...

According to prospect theory, people overweight low probability events and underweight high probability events. Several recent papers (notably, Hertwig, Barron, Weber \& Erev, 2004) have argued that although this pattern holds for ``description-based'' decisions, in which people are explicitly...

Many psychology experiments show that individually judged probabilities of the same event can vary depending on the partition of the state space (a framing effect called partition-dependence). We show that these biases transfer to competitive prediction markets in which multiple informed traders...