Although much of the theoretical literature on ambiguity works under the assumption of uncertainty aversion …

control theory to the so-called multiplier and constraint preferences that have been used to express ambiguity aversion …. Detection error probabilities can be used to discipline empirically plausible amounts of robustness. We describe applications to …

be interpreted as a cost of robustness. They show that the robustness analysis can lead to a reversal of policy …-probabilistic approach available in the literature. They also consider conceptual proxies for robustness and demonstrate their use in …

of robustness and that the robustness analysis can lead to a reversal of policy preference from the putative optimum …

This paper proposes a decision-theoretic framework for experiment design. We model experimenters as ambiguity …-averse decision-makers, who make trade-offs between subjective expected performance and robustness. This framework accounts for … sample size is large enough or robustness is an important concern. We illustrate the practical value of such a framework by …

ambiguity aversion. This characterization extends to regret-based models as well. As an application of our general result, we … characterize dynamically consistent updating for two important models of ambiguity averse preferences: the ambiguity averse smooth … ambiguity preferences (Klibanoþ, Marinacci and Mukerji [Econometrica 73 2005, pp. 1849-1892]) and the variational preferences …

depart from the sure thing principle and model the phenomenon of ambiguity and ambiguity aversion. …