preferences. Among the behavioral patterns that allow for a clear-cut interpretation on the decision level, we find that roughly … almost half of our subjects. Among those, roughly 24%are rational expected utility maximizers, 24% make occasional mistakes …

focuses on situations where some resource (for instance, a position, decision power, a bonus) has to be allocated between two … parties: the decision maker can either opt for sharing the resource or for using a random device that allocates the entire … prize to one of the two parties. By varying the relative situation of the decision maker with respect to the other party, we …

probability distributions predicts that subjects have Von Neuman Morgenstern utility (EUT). Therefore, probability weighting is … which probability amplitudes (popularized by quantum decision [field] theory) are computed. This explains the “quantal … preferences are different for the same stimuli because decision weights depend on broken cycles for HPWF. However, our model also …

model once the textbook assumption of separable agent utility is relaxed …

substitution, ex-ante inequality, and ex-post inequality. We devise an experiment with four decision environments based on convex …

model once the textbook assumption of separable agent utility is relaxed …