scispace - formally typeset
E

Eddie Dekel

Researcher at Tel Aviv University

Publications -  89
Citations -  5673

Eddie Dekel is an academic researcher from Tel Aviv University. The author has contributed to research in topics: Nash equilibrium & Rationalizability. The author has an hindex of 34, co-authored 88 publications receiving 5349 citations. Previous affiliations of Eddie Dekel include Harvard University & University of California, Berkeley.

Papers
More filters
Journal ArticleDOI

An axiomatic characterization of preferences under uncertainty: Weakening the independence axiom

TL;DR: In this article, the independence axiom used to derive the expected utility representation of preferences over lotteries is replaced by requiring only convexity, in terms of probability mixtures, of indifference sets.
Journal ArticleDOI

Hierarchies of Beliefs and Common Knowledge

TL;DR: In this paper, Mertens and Zamir showed that if a player's type is coherent then it induces a belief over the types of the other players, and that the notion of coherency closes the model of beliefs.
Journal ArticleDOI

Rationalizability and correlated equilibria

Adam Brandenburger, +1 more
- 01 Nov 1987 - 
TL;DR: In this paper, it is shown that correlated rationalizability is equivalent to a posteriori equilibrium, a refinement of subjective correlated equilibrium, and a decision-theoretic justification for the equilibrium approach to game theory is provided.
Journal ArticleDOI

Representing preferences with a unique subjective state space

TL;DR: In this article, the authors extend Kreps' 1979 analysis of preference for flexibility, reinterpreted by Kreps Ž.1992 as a model of unforeseen contingencies, and obtain uniqueness results that were not possible in Kreps’ model.
Journal ArticleDOI

Lexicographic probabilities and choice under uncertainty

TL;DR: In this paper, a non-Archimedean variant of subjective expected utility where decisionmakers have lexicographic beliefs is developed, which can be made to satisfy admissibility and yield well-defined conditional probabilities and at the same time allow for "null" events.