Implementing and testing risk-preference-induction mechanisms in experimental sealed-bid auctions
- Thomas A. Rietz
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Risk-preference-inducing lottery procedures can serve as valuable tools for experimental economists. However, questioning their effectiveness, experimenters may avoid them even when predictions and conclusions depend crucially on risk preferences. Here, I review risk-preference-induction attempts in sealed-bid auctions, discussing factors that promote or hinder success. Making the procedure very transparent and having subjects learn about it in simple environments promote success. Hysteresis resulting from switching between monetary payoffs and lottery procedures in one environment hinders success. Thus, lottery procedures appear sensitive to the implementation. However, implemented carefully, they can generate behavior consistent with the intended preferences.
- Berg, J.E., L.A. Daley, J.W. Dickhaut, and J.R. O'Brien. (1986). “Controlling Preferences for Lotteries on Units of Experimental Exchange,”Quarterly Journal of Economics, 101, 281–306.
- Berg, J.E., J.W. Dickhaut, and K.A. McCabe. (1990). “An Investigation of the Performance Characteristics of the Lottery Procedure for Controlling Risk Preferences,” Washington University Working Paper.
- Conover, W.J. (1971).Practical Nonparametric Statistics. New York: John Wiley & Sons, Inc.
- Cox, J.C., V.L. Smith, and J.M. Walker. (1985). “Experimental Development of Sealed-Bid Auction Theory: Calibrating Controls for Risk Aversion,”AEA Papers and Proceedings, 75, 160–165.
- Cox, J.C., V.L. Smith, and J.M. Walker. (1988). “Theory and Behavior of First Price Auctions,”Journal of Risk and Uncertainty, 1, 61–99.
- Harris, M. and A. Raviv. (1981). “Allocation Mechanisms and the Design of Auctions,”Econometrica, 49, 1477–1499.
- Kagel, J.H. (1990). “Auctions: A Survey of Experimental Research,” Mimeo, University of Pittsburgh.
- Pakes, A., and D. Pollard. (1987). “Asymptotics of Optimization Estimators with Applications to Simulated Objective Functions: Appendix 3,” Mimeo, University of Wisconsin and Yale University.
- Powell, J.L. (1984). “Least Absolute Deviations Estimation for the Censored Regression Model,”Journal of Econometrics, 25, 303–325.
- Rietz, T.A. (1992). “Controlling Risk Preferences: Some Results for Experimental Sealed Bid Auctions,” Department of Finance Working Paper #71, Kellogg Graduate School of Management, Evanston, Illinois.
- Roth, A.E., and M.W.K. Malouf. (1979). “Game-Theoretic Models and the Role of Bargaining,”Psychological Review, 86, 574–594
- Vickrey, W. (1961). “Counterspeculation, Auctions, and Competitive Sealed Tenders,”The Journal of Finance, 16, 8–27.
- Walker, J.M., V.L. Smith, and J.C. Cox. (1990). “Inducing Risk Neutral Preferences: An Examination in a Controlled Market Environment,”Journal of Risk and Uncertainty, 3, 5–24.
- White, H. (1980). “A Heteroskedasticity-consistent Covariance Matrix Estimator and a Direct Test of Heteroskedasticity,”Econometrica, 48, 4, 817–838.
- Implementing and testing risk-preference-induction mechanisms in experimental sealed-bid auctions
Journal of Risk and Uncertainty
Volume 7, Issue 2 , pp 199-213
- Cover Date
- Print ISSN
- Online ISSN
- Kluwer Academic Publishers
- Additional Links
- experimental economics
- sealed-bid auctions
- risk-preference induction
- least-absolute-deviations estimators
- Industry Sectors
- Thomas A. Rietz (1)
- Author Affiliations
- 1. Department of Finance, J.L. Kellogg Graduate School of Management, Northwestern University, 60208-2006, Evanston, IL