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...

Experiments on revealed preference often use budget sets for participants that are randomly and independently drawn according to some criteria. However, this means that the budgets and choices of different individuals are not immediately comparable. This paper proposes a method to control for...

Nontransitive choices have long been an area of curiosity within economics. However, determining whether nontransitive choices represent an individual’s preference is a difficult task since choice data is inherently stochastic. This paper shows that behavior from nontransitive preferences...

This paper studies which models of risk preference can best describe individual choices. We perform model selection using cross validation techniques that are common in machine learning. We compare the models of expected utility, disappointment aversion, rank dependent utility, stochastic...

This paper characterizes the logit model with menu dependent variance. The characterization follows from two conditions: independent log-odds and log-odds monotonicity. Independent log-odds says the change to log-odds across different menus is independent of the alternatives used to compare...

We extend the result from Bossert and Sprumont (2013) that every single-valued choice function is backwards-induction rationalizable via strict preferences to the case of choice correspondences via weak preferences.