Equal Tails: A Simple Method to Elicit Utility Under Violations of Expected Utility
Manel Baucells () and
Antonio Villasís ()
Additional contact information
Antonio Villasís: IDE Escuela de Dirección de Empresas, Quito, Ecuador
Decision Analysis, 2015, vol. 12, issue 4, 190-204
Classical methods to elicit utility are biased because most individuals do not treat probabilities linearly. We propose a simple modification of the classical methods that equates, for all prospects being compared, the range of outcomes. We argue that the modification should work in theory, and test the modification experimentally. Our first experiment confirms that the modified certainty equivalent method reduces the curvature of the S-shaped value function. The second experiment is a novel design that compares the trade-off method with the three classical methods in their original and modified forms. Our equal-tails modification of both the certainty equivalent and the lottery equivalent method produces results consistent with the trade-off method. The lottery equivalent modification is particularly useful to elicit utility points when outcomes are nonquantifiable.
Keywords: elicitation of the utility function; nonlinear probability weighting (search for similar items in EconPapers)
References: Add references at CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:inm:ordeca:v:12:y:2015:i:4:p:190-204
Access Statistics for this article
More articles in Decision Analysis from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Matthew Walls ().