This paper provides nonparametric identification results for a class of latent utility models with additively separable unobservable heterogeneity. These results apply to existing models of discrete choice, bundles, decisions under uncertainty, and matching. Under an independence assumption,...

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...

We present a tractable generalization of quantal response equilibrium via non-expected utility preferences. In particular, we introduce concave perturbed utility games in which an individual has strategy-specific utility indices that depend on the outcome of the game and an additively separable...

Experiments on revealed preference often use budget sets that are randomly and independently drawn according to some criteria for each participant. However, this means that the budget sets faced by different individuals are not the same. This paper proposes a method to control for these...

Applied research often tolerates misspecification in order to reach informative conclusions. We focus on how the degree of misspecification varies with the level of aggregation of data for quasilinear utility models. We present aggregation results formalizing that the model cannot get worse when...

We investigate a model of deterministic stochastic choice for the standard con- sumer problem. We introduce the framework of statistical consumer theory where the individual maximizes their utility with respect to a distribution of bundles that is constrained by a statistic (e.g. mean...

This paper provides nonparametric identification results for random coefficient distributions in perturbed utility models. We cover discrete and continuous choice models. We establish identification using variation in mean quantities, and the results apply when an analyst observes aggregate...