A Microeconometric Test of Alternative Stochastic Theories of Risky Choice
AbstractThe random preference, Fechner (or "white noise"), and constant error (or "tremble") models of stochastic choice under risk are compared. Various combinations of these approaches are used with expected utility and rank-dependent theory. The resulting models are estimated in a random effects framework using experimental data from two samples of 46 subjects who each faced 90 pairwise choice problems. The best fitting model uses the random preference approach with a tremble mechanism, in conjunction with rank-dependent theory. As subjects gain experience, trembles become less frequent and there is less deviation from behaviour consistent with expected utility theory. Copyright 2002 by Kluwer Academic Publishers
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Bibliographic InfoArticle provided by Springer in its journal Journal of Risk and Uncertainty.
Volume (Year): 24 (2002)
Issue (Month): 2 (March)
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Web page: http://www.springerlink.com/link.asp?id=100299
Other versions of this item:
- Loomes, G. & Moffatt, P.G. & Sugden, R., 1998. "A Microeconometric Test of Alternative Stochastic Theories of Risky Choice," University of East Anglia Discussion Papers in Economics 9806, School of Economics, University of East Anglia, Norwich, UK..
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
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