This article addresses the issues associated with the construction of posterior probabilities for violation of the independence axiom of expected utility from nonexperimental data. To illustrate the methodology of analyzing nonexperimental evidence, we consider seat-belt-usage data. We find a posterior probability close to one of an Allais-type paradox in these data. In addition, the evidence is not inconsistent with Machina’s Hypothesis II but is inconsistent with the “light” hypothesis of Chew and Waller.
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Social Sciences (miscellaneous)
- Economics and Econometrics
- Statistics, Probability and Uncertainty