' concern with ambiguity on true probability measure.In order to identify and estimate key parameters in the models, I use a …-14 without ambiguity aversion. Related, the estimated ambiguityaversion is both economically and statistically significant and … higher than 1, around 1.3-22 with ambiguity aversion, and quite highwithout ambiguity aversion. The identification of EIS …

This thesis deals with decision making under ambiguity. Ambiguity refers to situations in which probabilities for … studied phenomenon, then, first of all, there is an ample empirical evidence confirming ambiguity-sensitive behavior, and … nature of ambiguity-sensitive behavior in the context of static, dynamic and interpersonal decision problems. For this …

of success, expected payoffs, the level of ambiguity regarding success, and preferences to compete. I explore the effects … unique experiment design to measure ambiguity aversion, which can be modified to also control for risk aversion. A measure of … ambiguity aversion has value as individuals in labor markets have ambiguous signals about their probabilities of success in …

Bayesian updating. The essays consider, respectively, ambiguity, and information cascades, in environments in which limitations … explicitly considered.Decision making under ambiguity has been of interest to economists since the 1920's (Knight (1921), Keynes … ambiguity attitudes using a within subject design across individual choice and market environments. The evidence favors …