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 …

sufficiently high ambiguity, more than two messages are often necessary to implement the optimal decision rule of S, though only … not implement the optimal decision rule of S, which is not the case in the absence of ambiguity. Fourth, we show that the … addition of a little ambiguity may generate influential communication that is unambiguously advantageous to S. Fifth, we …

I experimentally examine whether feedback about others' choices provides an anchor for decision-making under ambiguity … relative ambiguity attitude (compared to the peer's) significantly matters for shifts in individual attitudes, and that … dynamics considerably differ between gain and loss domains. For gains, learning to be comparably ambiguity averse increases the …

regarding the realization likelihood of cash flows, the subjective attitude towards risk, and the attitude towards ambiguity …. While previous literature looks at the total price discount under ambiguity, this paper investigates with laboratory … belief effects, the risk premiums, and the ambiguity premiums from each other. Both methods lead to similar results: Overall …

We introduce a model of random ambiguity aversion. Choice is stochastic due to unobserved shocks to both information … and ambiguity aversion. This is modeled as a random set of beliefs in the maxmin expected utility model of Gilboa and … Schmeidler (1989). We characterize the model and show that the distribution of ambiguity aversion can be uniquely identified …