1990
DOI: 10.2307/2938207
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Two-Stage Lotteries without the Reduction Axiom

Abstract: TWO-STAGE LO1TERIES WITHOUT THE REDUCTION AXIOM1 BY Uzi SEGAL This paper analyzes preference relations over two-stage lotteries, i.e., lotteries having as outcomes tickets for other, simple, lotteries. Empirical evidence indicates that decision makers do not always behave in accordance with the reduction of compound lotteries axiom, but it seems that they satisfy a compound independence axiom (also known as the certainty equivalent mechanism). It turns out that although the reduction and the compound independe… Show more

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Cited by 315 publications
(182 citation statements)
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“…It is straightforward to see that RCLA implies time neutrality and that independence implies betweenness (see Segal (1990) for a detailed discussion). For completeness in exposition, we present the following axiom which together with RCLA implies independence.…”
Section: Appendix B: Axioms Of Compound Risk and Their Implicationsmentioning
confidence: 99%
“…It is straightforward to see that RCLA implies time neutrality and that independence implies betweenness (see Segal (1990) for a detailed discussion). For completeness in exposition, we present the following axiom which together with RCLA implies independence.…”
Section: Appendix B: Axioms Of Compound Risk and Their Implicationsmentioning
confidence: 99%
“…Theorem 2 in [6] and Theorem 9 in [7] prove that under some further conditions, the measure{) is a product measure. These proofs implicitly assume that {) on D is bounded.…”
mentioning
confidence: 99%
“…This leads to the conclusion that the measure representation applies only to subsets of the space of lotteries, although these subsets can become arbitrarily close to the whole space of lotteries. Some additional axioms (Segal [6,7]), implying that the measure is a product measure (and hence anticipated utility), also guarantee that the measure is bounded.…”
mentioning
confidence: 99%
“…t and the reduction of compound lotteries While (16) shows that the operator R 2 t assigns a worst-case probability distribution, another interpretation along the lines of Segal (1990), Klibanoff et al (2003), and Ergin and Gul (2004) is available. This operator adjusts for state risk differently than does the usual Bayesian model averaging approach.…”
Section: Rmentioning
confidence: 99%