Optimal risk-sharing rules and equilibria with Choquet-expected-utility

Abstract : This paper explores risk-sharing and equilibrium in a general equilibrium set-up wherein agents are non-additive expected utility maximizers. We show that when agents have the same convex capacity, the set of Pareto-optima is independent of it and identical to the set of optima of an economy in which agents are expected utility maximizers and have same probability. Hence, optimal allocations are comonotone. This enables us to study the equilibrium set. When agents have different capacities, matters are much more complex (as in the vNM case). We give a general characterization and show how it simplifies when Pareto-optima are comonotone. We use this result to characterize Pareto-optima when agents have capacities that are the convex transform of some probability distribution. comonotonicity of Pareto-optima is also shown to be true in the two-state case if the intersection of the core of agents' capacities is non-empty; Pareto-optima may then be fully characterized in the two-agent, two-state case. This comonotonicity result does not generalize to more than two states as we show with a counter-example. Finally, if there is no-aggregate risk, we show that non-empty core intersection is enough to guarantee that optimal allocations are full-insurance allocation. This result does not require convexity of preferences.
Document type :
Journal articles
Complete list of metadatas

Cited literature [24 references]  Display  Hide  Download

Contributor : Jean-Marc Tallon <>
Submitted on : Monday, February 1, 2010 - 11:48:39 AM
Last modification on : Wednesday, October 3, 2018 - 10:00:02 PM
Long-term archiving on : Friday, June 18, 2010 - 5:57:23 PM


Files produced by the author(s)




Alain Chateauneuf, Rose Anne Dana, Jean-Marc Tallon. Optimal risk-sharing rules and equilibria with Choquet-expected-utility. Journal of Mathematical Economics, Elsevier, 2000, 34 (2), pp.191-214. ⟨10.1016/S0304-4068(00)00041-0⟩. ⟨halshs-00451997⟩



Record views


Files downloads