Measuring loss aversion under ambiguity: a method to make prospect theory completely observable

We propose a simple, parameter-free method that, for the first time, makes it possible to completely observe Tversky and Kahneman’s (1992) prospect theory. While methods exist to measure event weighting and the utility for gains and losses separately, there was no method to measure loss aversion und...

Full description

Bibliographic Details
Main Authors: Abdellaoui, Mohammed, Bleichrodt, Han, l'Haridon, Olivier, van Dolder, Dennie
Format: Article
Published: Springer 2016
Subjects:
Online Access:https://eprints.nottingham.ac.uk/32927/
_version_ 1848794521262882816
author Abdellaoui, Mohammed
Bleichrodt, Han
l'Haridon, Olivier
van Dolder, Dennie
author_facet Abdellaoui, Mohammed
Bleichrodt, Han
l'Haridon, Olivier
van Dolder, Dennie
author_sort Abdellaoui, Mohammed
building Nottingham Research Data Repository
collection Online Access
description We propose a simple, parameter-free method that, for the first time, makes it possible to completely observe Tversky and Kahneman’s (1992) prospect theory. While methods exist to measure event weighting and the utility for gains and losses separately, there was no method to measure loss aversion under ambiguity. Our method allows this and thereby it can measure prospect theory’s entire utility function. Consequently, we can properly identify properties of utility and perform new tests of prospect theory. We implemented our method in an experiment and obtained support for prospect theory. Utility was concave for gains and convex for losses and there was substantial loss aversion. Both utility and loss aversion were the same for risk and ambiguity, as assumed by prospect theory, and sign-comonotonic trade-off consistency, the central condition of prospect theory, held.
first_indexed 2025-11-14T19:17:31Z
format Article
id nottingham-32927
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T19:17:31Z
publishDate 2016
publisher Springer
recordtype eprints
repository_type Digital Repository
spelling nottingham-329272020-05-04T17:28:26Z https://eprints.nottingham.ac.uk/32927/ Measuring loss aversion under ambiguity: a method to make prospect theory completely observable Abdellaoui, Mohammed Bleichrodt, Han l'Haridon, Olivier van Dolder, Dennie We propose a simple, parameter-free method that, for the first time, makes it possible to completely observe Tversky and Kahneman’s (1992) prospect theory. While methods exist to measure event weighting and the utility for gains and losses separately, there was no method to measure loss aversion under ambiguity. Our method allows this and thereby it can measure prospect theory’s entire utility function. Consequently, we can properly identify properties of utility and perform new tests of prospect theory. We implemented our method in an experiment and obtained support for prospect theory. Utility was concave for gains and convex for losses and there was substantial loss aversion. Both utility and loss aversion were the same for risk and ambiguity, as assumed by prospect theory, and sign-comonotonic trade-off consistency, the central condition of prospect theory, held. Springer 2016-02-01 Article PeerReviewed Abdellaoui, Mohammed, Bleichrodt, Han, l'Haridon, Olivier and van Dolder, Dennie (2016) Measuring loss aversion under ambiguity: a method to make prospect theory completely observable. Journal of Risk and Uncertainty, 52 (1). pp. 1-20. ISSN 1573-0476 Prospect theory ; Loss aversion ; Utility for gains and losses ; Risk ; Ambiguity ; Elicitation methods http://link.springer.com/article/10.1007%2Fs11166-016-9234-y doi:10.1007/s11166-016-9234-y doi:10.1007/s11166-016-9234-y
spellingShingle Prospect theory ; Loss aversion ; Utility for gains and losses ; Risk ; Ambiguity ; Elicitation methods
Abdellaoui, Mohammed
Bleichrodt, Han
l'Haridon, Olivier
van Dolder, Dennie
Measuring loss aversion under ambiguity: a method to make prospect theory completely observable
title Measuring loss aversion under ambiguity: a method to make prospect theory completely observable
title_full Measuring loss aversion under ambiguity: a method to make prospect theory completely observable
title_fullStr Measuring loss aversion under ambiguity: a method to make prospect theory completely observable
title_full_unstemmed Measuring loss aversion under ambiguity: a method to make prospect theory completely observable
title_short Measuring loss aversion under ambiguity: a method to make prospect theory completely observable
title_sort measuring loss aversion under ambiguity: a method to make prospect theory completely observable
topic Prospect theory ; Loss aversion ; Utility for gains and losses ; Risk ; Ambiguity ; Elicitation methods
url https://eprints.nottingham.ac.uk/32927/
https://eprints.nottingham.ac.uk/32927/
https://eprints.nottingham.ac.uk/32927/