UTILITY-THEORY WITH PROBABILITY DEPENDENT OUTCOME VALUATION - EXTENSIONS AND APPLICATIONS

This article extends Karni's (1992) Utility Theory with Probability Dependent Outcome Valuation (UTP-DOV) to accommodate a wider set of preferences, and applies the new representation to a variety of decision problems under risk. First, we present a new, more general axiomatization of UTPDOV that renders the underlying intuition more transparent. Second, we develop sufficient conditions under which UTPDOV satisfies the betweeness and the ordinal independence axioms. Finally, we examine functional forms of the UTPDOV model that are consistent with several well known departures from the independence axiom.