The question of how to measure and classify people's risk preferences is of substantial importance in the field of …

tries to integrate gender aspects into five main models from decision theory. We can show that according to the model …Women are stereotyped as more risk averse than men. Empirical and experimental investigations seem to support the …

We analyse models for panel data that arise in risk allocation problems, when a given set of sources are the cause of … an aggregate risk value. We focus on the modeling and forecasting of proportional contributions to risk. Compositional …

We investigate various statistical methods for forecasting risky choices and identify important decision predictors …

We present the first calibration of quantum decision theory (QDT) to an empirical data set. The data comprise 91 …. The prediction of choice reversal is then refined by introducing heterogeneity between decision makers through a … differentiation of the population into two similar sized groups in terms of "over-confident" and "contrarian" decision makers. This …

modeling approaches. The SCPMs are recorded during a fixed pre-decision phase and are derived from tracking subjects' eye … subject-specific risk preferences and is largely driven by including information on lottery design variables. As a key result … lottery payoff characteristics when investigating the role of emotions and cognitive bias in repeated decision …