Betweenness is a weakened form of the independence axiom, stating that a probability mixture of two gambles should lie between them in preference. Betweenness is used in many generalizations of expected utility and in applications to game theory and macroeconomics. Experimental violations of...

This article measures compensating wage differentials for job risks for union and nonunion workers. Job risk is made endogenous to avoid a selectivity bias arising if more able people choose safer jobs. We find that this adjustment has a considerable effect on the union group, raising their...

In this article, we test Green and Jullien's (1988) Ordinal Independence (OI) Axiom, an axiom necessary for any rank-dependent expected utility (RDEU) model, including Cumulative Prospect Theory (Tversky and Kahneman, 1992). We observe systematic violations of OI (some within-subject violation...

The regret theory of choice under uncertainty proposed by Loomes and Sugden has performed well in explaining and predicting violations of Expected Utility theory. The original version of the model was confined to pairwise choices, which limited its usefulness as an economic theory of choice....

This article investigates the preservation of multivariate expected utility comparative statics for "smooth" nonexpected utility representations. Specifically, we answer the following question: if an expected utility comparative statics property depends only on preferences over sure prospects,...

All production activities generate health risks to workers. This article employs input-output analysis in conjunction with job-risk data by industry to construct measures of the direct and indirect risks imposed by expenditures. Both fatalities and nonfatal injuries (which include illnesses) are...

This article reports the results of a study designed to elicit willingness to pay (WTP) and willingness to accept (WTA) values for changes in the risk of nonfatal road injuries. We examine the possibility that individuals' preferences over combinations of wealth, risk, and safety are imprecise,...

The "gambler's fallacy" is the belief that the probability of an event is decreased when the event has occurred recently, even though the probability is objectively known to be independent across trials. Clotfelter and Cook (1991, 1993) find evidence of the gambler's fallacy in analysis of data...