Many theoretical models of stochastic choice are characterized by availability variation. Instead, most stochastic choice datasets have information on attribute values that vary across decision problems. This paper uses attribute variation to characterize a framework that encompasses existing...

This paper studies when stochastic choices are consistent with behavior from Bayesian expected utility maximization and information acquisition. This is a limited dataset since other characterization require state-dependent stochastic choice data. The conditions that characterize this behavior...

Using a revealed preference approach, we conduct an experiment where subjects make choices from linear convex budgets in the domain of risk. We find that many individuals prefer mixtures of lotteries in ways that systematically rule out expected utility behavior. We explore the extent to which...