This paper examines the cross-fertilizations of random utility models with the study of decision making under risk and uncertainty. We start with a description of the Expected Utility (EU) theory and then consider deviations from the standard EU frameworks, involving the Allais paradox and the...

We present examples based on actual and synthetic datasets to illustrate how simulation methods can mask identification problems in the estimation of discrete choice models such as mixed logit. Simulation methods approximate an integral (without a closed form) by taking draws from the underlying...