Theoretical and empirical studies of consumer scheduling behavior in commuting, and the associated valuation of time and schedule delays usually ignore that consumers have more exibility to adjust their schedule in the longer run than in the shorter run, implying that also these valuations may...

This paper empirically and jointly analyses the relations between risk aversion, standard time discounting, present bias, and loss aversion and household stated adoption of low to high stake energy efficiency technologies (EETs) (light emitting diodes (LEDs), energy efficient appliances, and...

We introduce a new class of preferences — which we call additive-belief-based (ABB) —that captures a general and yet tractable approach to belief-based utility, and that encompasses many popular models in the behavioral literature. We show that the general class of ABB preferences and two...

Companies are increasingly adopting Artificial Intelligence (AI) today. Recently however debates started over the risk of human cognitive biases being replicated (and scaled) by AI. Research on biases in AI predicting consumer choice is incipient and focuses on observable biases. We provide a...

A continuing goal of experiments is to understand risky decisions when the decisions are important. Often a decision's importance relates to the magnitude of the associated monetary stake. Khaneman and Tversky (1979) argue that risky decisions in high stakes environments can be informed using...

In confidence theory, the decision maker relies on statistical regularities from the economic environment to adopt prior beliefs about the probabilities stated on a lottery. Following the confidence principle, by which the weight of the prior in Bayesian inference is proportional to the...