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Physica A Statistical Mechanics and its Applications
Article . 2011 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
SSRN Electronic Journal
Article . 2011 . Peer-reviewed
Data sources: Crossref
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Psychophysics of the Probability Weighting Function

Authors: Takahashi, Taiki;

Psychophysics of the Probability Weighting Function

Abstract

Abstract A probability weighting function w ( p ) for an objective probability p in decision under risk plays a pivotal role in Kahneman–Tversky 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) [4] axiomatically derived the probability weighting function w ( p ) = exp ( − ( − ln p ) α ) ( 0 α 1 and 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 are derived. Future directions in the application of the psychophysical theory of the probability weighting function in econophysics and neuroeconomics are discussed.

Country
Japan
Keywords

140, Tsallis' statistics, Econophysics, Uncertainty, Prospect theory, Neuroeconomics, Decision-making

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Top 10%
bronze