Caltech Logo

Ulric B. and Evelyn L. Bray Social Sciences Seminar

Wednesday, August 26, 2020
12:00pm to 1:00pm
Add to Cal
Online Event
On the Empirical Validity of Cumulative Prospect Theory: Experimental Evidence of Rank-Independent Probability Weighting
Charlie Sprenger, Professor of Economics, Division of the Humanities and Social Sciences, Caltech,

Abstract: Cumulative Prospect Theory (CPT), the leading behavioral account of decision making under uncertainty, avoids the dominance violations implicit in Prospect Theory (PT) by assuming that the probability weight applied to a given outcome depends on its ranking. We devise a simple and direct non-parametric method for measuring the change in relative probability weights resulting from a change in payoff ranks. We find no evidence that these weights are even modestly sensitive to ranks. Conventional calibrations of CPT preferences imply that the percentage change in probability weights should be an order of magnitude larger than we observe. It follows either that probability weighting is not rank-dependent, or that the weighting function is nearly linear. Non-parametric measurement of the change in relative probability weights resulting from changes in probabilities rules out the second possibility. Additional tests nevertheless indicate that the dominance patterns predicted by PT do not arise. We reconcile these findings by positing a form of complexity aversion that generalizes the well-known certainty effect.
Written with Douglas Bernheim.

How to view the seminar:
Sign up for a free twitch.tv account, and tune in on Wednesdays at noon pacific time on twitch.tv/caltechecontheory. You will be able to ask questions on the twitch chat.

For more information, please contact Letty Diaz by phone at 626-395-1255 or by email at letty.diaz@caltech.edu.