Risk and Rationality: Uncovering Heterogeneity in Probability Distortion
Adrian Bruhin (adrian.bruhin@unil.ch),
Helga Fehr-Duda and
Thomas Epper
Econometrica, 2010, vol. 78, issue 4, 1375-1412
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 model for three different experimental data sets, two Swiss and one Chinese, over a large number of real gains and losses. We find two major types of individuals: In all three data sets, the choices of roughly 80% of the subjects exhibit significant deviations from linear probability weighting of varying strength, consistent with prospect theory. Twenty percent of the subjects weight probabilities near linearly and behave essentially as expected value maximizers. Moreover, individuals are cleanly assigned to one type with probabilities close to unity. The reliability and robustness of our classification suggest using a mix of preference theories in applied economic modeling. Copyright 2010 The Econometric Society.
Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (269)
Downloads: (external link)
http://hdl.handle.net/10.3982/ECTA7139 link to full text (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Risk and Rationality: Uncovering Heterogeneity in Probability Distortion (2007) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ecm:emetrp:v:78:y:2010:i:4:p:1375-1412
Ordering information: This journal article can be ordered from
https://www.economet ... ordering-back-issues
econometrica@econometricsociety.org
Access Statistics for this article
Econometrica is currently edited by Guido Imbens
More articles in Econometrica from Econometric Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery (contentdelivery@wiley.com).