An experimental test of prospect theory for predicting choice under ambiguity

被引：38

作者：

Kothiyal, Amit ^{[1
]}

Spinu, Vitalie ^{[2
]}

Wakker, Peter P. ^{[3
]}

机构：

[1] Max Planck Inst Human Dev & Educ, D-14195 Berlin, Germany

[2] Univ Calif Los Angeles, Anderson Sch Management, Los Angeles, CA 90095 USA

[3] Erasmus Univ, Erasmus Sch Econ, NL-3000 DR Rotterdam, Netherlands

来源：

JOURNAL OF RISK AND UNCERTAINTY | 2014年 / 48卷 / 01期

关键词：

EXPECTED-UTILITY-THEORY; UNCERTAINTY AVERSION; DECISION WEIGHTS; RISK; MODELS; PROBABILITY; FOUNDATIONS; PREFERENCES; DEFINITION; ATTITUDES;

D O I：

10.1007/s11166-014-9185-0

中图分类号：

F8 [财政、金融];

学科分类号：

0202 ;

摘要：

Prospect theory is the most popular theory for predicting decisions under risk. This paper investigates its predictive power for decisions under ambiguity, using its specification through the source method. We find that it outperforms its most popular alternatives, including subjective expected utility, Choquet expected utility, and three multiple priors theories: maxmin expected utility, maxmax expected utility, and alpha-maxmin expected utility.

引用

页码：1 / 17

页数：17

共 80 条

[1] Choice-based elicitation and decomposition of decision weights for gains and losses under uncertainty
Abdellaoui, M
Vossmann, F
Weber, M
[J]. MANAGEMENT SCIENCE, 2005, 51 (09) : 1384 - 1399
[2] The Rich Domain of Uncertainty: Source Functions and Their Experimental Implementation
Abdellaoui, Mohammed
Baillon, Aurelien
Placido, Laetitia
Wakker, Peter P.
[J]. AMERICAN ECONOMIC REVIEW, 2011, 101 (02) : 695 - 723
[3] Ahn D. S., 2013, QUANTITATIV IN PRESS
[4] Inferring beliefs as subjectively imprecise probabilities
Andersen, Steffen
Fountain, John
Harrison, Glenn W.
Hole, Arne Risa
Rutstroem, E. Elisabet
[J]. THEORY AND DECISION, 2012, 73 (01) : 161 - 184
[5] [Anonymous], 1957, Games and Decisions
[6] [Anonymous], 1994, ADV DEMPSTER SHAFER
[7] [Anonymous], 1950, STAT DECISION FUNCTI
[8] [Anonymous], AMBIGUITY
[9] [Anonymous], 1961, DECISION COLLOQUES I
[10] A DEFINITION OF SUBJECTIVE-PROBABILITY
ANSCOMBE, FJ
AUMANN, RJ
[J]. ANNALS OF MATHEMATICAL STATISTICS, 1963, 34 (01): : 199 - &

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