Arbeitspapier

Random Binary Choices that Satisfy Stochastic Betweenness

Experimental evidence suggests that the process of choosing between lotteries (risky prospects) is stochastic and is better described through choice probabilities than preference relations. Binary choice probabilities admit a Fechner representation if there exists a utility function u such that the probability of choosing a over b is a non-decreasing function of the utility di¤erence u (a) - u (b). The representation is strict if u (a) u (b) precisely when the decision-maker is at least as likely to choose a from fa; bg as to choose b. Blavatskyy (2008) obtained necessary and su¢ cient conditions for a strict Fechner representation in which u has the expected utility form. One of these is the common consequence independence (CCI) axiom (ibid.,Axiom 4), which is a stochastic analogue of the mixture independence condition on preferences. Blavatskyy also conjectured that by weakening CCI to a condition he called stochastic betweenness (SB) a stochastic analogue of the betweenness condition on preferen-ces (Chew (1983)) one obtains necessary and suffcient conditions for a strict Fechner representation in which u has the implicit expected utility form (Dekel (1986)). We show that Blavatskyys conjecture is false, and provide a valid set of necessary and su¢ cient conditions for the desired representation.

Sprache
Englisch

Erschienen in
Series: Economics Working Paper Series ; No. 2017/01

Klassifikation
Wirtschaft

Ereignis
Geistige Schöpfung
(wer)
Ryan, Matthew
Ereignis
Veröffentlichung
(wer)
Auckland University of Technology (AUT), Faculty of Business, Economics and Law
(wo)
Auckland
(wann)
2017

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Ryan, Matthew
  • Auckland University of Technology (AUT), Faculty of Business, Economics and Law

Entstanden

  • 2017

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