Risk and Rationality: Uncovering Heterogeneity in Probability Distortion
Adrian Bruhin (adrian.bruhin@unil.ch),
Helga Fehr-Duda (fehr@econ.gess.ethz.ch) and
Thomas Epper
Additional contact information
Helga Fehr-Duda: Institute of Economic Research, Swiss Federal Institute of Technology Zurich
No 705, SOI - Working Papers from Socioeconomic Institute - University of Zurich
Abstract:
It has long been recognized that there is considerable heterogeneity in individual risk taking behavior but little is known about the distribution of risk taking types. We present a parsimonious characterization of risk taking behavior by estimating a finite mixture regression model for three different experimental data sets, two Swiss and one Chinese, over a large number of real gains and losses. We find two distinct types of individuals: In all three data sets, the choices of roughly 80% of the subjects exhibit significant deviations from rational probability weighting consistent with prospect theory. 20% of the subjects weight probabilities linearly and behave essentially as expected value maximizers. Moreover, the individuals are assigned to one of these two groups with probabilities of close to one resulting in a low measure of entropy. The reliability and robustness of our classification suggest using a mix of preference theories in applied economic modeling.
Keywords: individual risk taking behavior; latent heterogeneity; finite mixture regression models (search for similar items in EconPapers)
JEL-codes: C49 D81 (search for similar items in EconPapers)
Pages: 29 pages
Date: 2007-03, Revised 2007-07
New Economics Papers: this item is included in nep-cbe, nep-exp and nep-upt
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (40)
Published in Econometrica 78(4), pp. 1375-1412, 2010
Downloads: (external link)
https://www.zora.uzh.ch/id/eprint/52375/1/wp0705.pdf Revised version, 2007 (application/pdf)
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Journal Article: Risk and Rationality: Uncovering Heterogeneity in Probability Distortion (2010) 
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Persistent link: https://EconPapers.repec.org/RePEc:soz:wpaper:0705
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