41 Pages Posted: 7 Sep 2012 Last revised: 5 Apr 2016
Date Written: January 11, 2016
We assess whether a cardinal model can be used to relate neural observables to stochastic choice behaviour. We develop a general empirical framework for relating any neural observable to choice prediction, and propose a means of bench-marking their predictive power. In a previous study, measurements of neural activity were made while subjects considered consumer goods. Here, we find that neural activity predicts choice behaviour, with the degree of stochasticity in choice related to the cardinality of the measurement. However, we also find that current methods have a significant degree of measurement error, severely limiting their inferential and predictive performance.
Keywords: Neuroeconomics, Measured Value Methods, Random Utility, fMRI, BOLD, Stochastic Choice
JEL Classification: D87
Suggested Citation: Suggested Citation
Webb, Ryan and Glimcher, Paul W. and Levy, Ifat and Lazzaro, Stephanie C. and Rutledge, Robb B., Neural Random Utility: Relating Cardinal Neural Observables to Stochastic Choice Behaviour' (January 11, 2016). Available at SSRN: https://ssrn.com/abstract=2143215 or http://dx.doi.org/10.2139/ssrn.2143215