that participants' styles of decision-making and risk aversion as well as the interaction of those can assist in predicting …

Economists often estimate a subset of their model parameters outside the model and let the decision-makers inside the … misspecification of the decision problem, and leads to post-decision disappointment. We develop a framework to explore, evaluate, and … optimize decision rules that explicitly account for the uncertainty in the first step estimation using statistical decision …

the model’s implications for optimal decision-making. This practice ignores model ambiguity, exposes the decision problem … to misspecification, and ultimately leads to post-decision disappointment. Using statistical decision theory, we develop … a framework to explore, evaluate, and optimize robust decision rules that explicitly account for estimation uncertainty …

Behavioral economics characterizes decision-makers using psychologically-informed models. Cognitive science produces …

, such as decision under Knightian uncertainty, the dynamics of economic (in)stability, and the voters’ preferences over …

variable is the particular decision stage at which a global risk is resolved: (i) before the investment decision; (ii) after … the investment decision, but before the resolution of the decision risk; (iii) after the resolution of the decision risk …. Dependent on the timing of the global risk different combinations of anticipated and experienced emotions influence decision …