Journal of Risk and Uncertainty

, Volume 48, Issue 1, pp 1–17 | Cite as

An experimental test of prospect theory for predicting choice under ambiguity



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 a-maxmin expected utility.


Expected Utility Prospect Theory Loss Aversion Ambiguity Aversion Decision Weight 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We are grateful to John Hey, Gianna Lotito, and Anna Maffioletti for providing us with their data set, their analyses, and many explanations.

Supplementary material

11166_2014_9185_MOESM1_ESM.pdf (191 kb)
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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Amit Kothiyal
    • 1
  • Vitalie Spinu
    • 2
  • Peter P. Wakker
    • 3
  1. 1.Max Planck Institute for Human DevelopmentBerlinGermany
  2. 2.Anderson School of Management, UCLALos AngelesUSA
  3. 3.Erasmus School of EconomicsErasmus UniversityRotterdamthe Netherlands

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