of ambiguity, there exists an equilibrium with inertia where agents also insure fully against Knightian uncertainty. When … the level of ambiguity exceeds a critical threshold, full insurance no longer prevails and there exist equilibria with …

We model and solve best choice problems in the multiple prior framework: An ambiguity averse decision maker aims to … choose the best among a fixed number of applicants that appear sequentially in a random order. The agent faces ambiguity … strategy is simple. Ambiguity can lead to substantial differences to the classical threshold rule. Copyright Springer …

of ambiguity, there exists an equilibrium with inertia where agents also insure fully against Knightian uncertainty. When … the level of ambiguity exceeds a critical threshold, full insurance no longer prevails and there exist equilibria with …

of ambiguity, there exists an equilibrium with inertia where agents also insure fully against Knightian uncertainty. When … the level of ambiguity exceeds a critical threshold, full insurance no longer prevails and there exist equilibria with …

only possible if all discounted net trades of the equilibrium allocation are mean ambiguity-free. …

-Debreu equilibria only if the values of net trades are ambiguity-free in the mean. Without aggregate uncertainty, inefficiencies arise …

We develop a theory of optimal stopping problems under ambiguity in continuous time. Using results from (backward … from the agent's ambiguity aversion. We show how to use these general results for search problems and American Options. …

We model and solve Best Choice Problems in the multiple prior framework: An ambiguity averse decision maker aims to … choose the best among a fixed number of applicants that appear sequentially in a random order. The decision faces ambiguity … stopping strategy is simple. Ambiguity can lead to substantial differences to the classical threshold rule. …