Psychophysics of the Probability Weighting Function

11 Pages Posted: 6 Jul 2011

Date Written: July 5, 2011

Abstract

A probability weighting function w(p) for an objective probability p in decision under risk plays a pivotal role in Kahneman-Tversky’s prospect theory. Although recent studies in econophysics and neuroeconomics widely utilized probability weighting functions, psychophysical foundations of the probability weighting functions have been unknown. Notably, a behavioral economist Prelec (1998) axiomatically derived the probability weighting function: w(p)=exp(−(−ln p)^α) (0<α<1; w(0)=1, w(1/e)=1/e, w(1)=1), which has extensively been studied in behavioral neuroeconomics. The present study utilizes psychophysical theory to derive Prelec’s probability weighting function from psychophysical laws of perceived waiting time in probabilistic choices. Also, the relations between the parameters in the probability weighting function and the probability discounting function in behavioral psychology were derived. Future directions in the application of the psychophysical theory of probability weighting function in econophysics and neuroeconomics are discussed.

Keywords: Neuroeconomics, Econophysics, Uncertainty, Prospect theory

JEL Classification: C00, D03, D87, D81

Suggested Citation

Takahashi, Taiki, Psychophysics of the Probability Weighting Function (July 5, 2011). Available at SSRN: https://ssrn.com/abstract=1878964 or http://dx.doi.org/10.2139/ssrn.1878964

Taiki Takahashi (Contact Author)

Hokkaido University ( email )

Sapporo, Hokkaido 0
Japan

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