Stochastic Expected Utility and Prospect Theory in a Horse Race: A Finite Mixture Approach

Adrian Bruhin ()

No 803, Working Papers from University of Zurich, Socioeconomic Institute

Abstract: This study compares the performance of Prospect Theory versus Stochastic Expected Utility Theory at fitting data on decision making under risk. Both theories incorporate well-known deviations from Expected Utility Maximization such as the Allais paradox or the fourfold pattern of risk attitudes. Stochastic Expected Utility Theory parsimoniously extends the standard microeconomic model, whereas Prospect Theory, the benchmark for aggregate choice so far, is based on psychological findings. First, the two theories' fit to representative choice is assessed for two experimental data sets, one Swiss and one Chinese. In a second step, finite mixture regressions reveal a consistent mix of two different behavioral types suggesting that researchers may take individual heterogeneity into account in order to avoid aggregation bias.

Keywords: stochastic expected etility theory; prospect theory; finite mixture models (search for similar items in EconPapers)
JEL-codes: D81 C49 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dcm, nep-exp and nep-upt
Date: 2008-03
View list of references View citations in EconPapers

Downloads: (external link)
http://www.soi.uzh.ch/research/wp/2008/wp0803.pdf First version, 2008 (application/pdf)

Related works:
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: http://EconPapers.repec.org/RePEc:soz:wpaper:0803

Access Statistics for this paper

More papers in Working Papers from University of Zurich, Socioeconomic Institute
Contact information at EDIRC.
Series data maintained by Harry Telser ().