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Changing the Probability versus Changing the Reward

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Author Info
David M. Bruner

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Abstract

There are two means of changing the expected value of a risk: changing the probability of a reward or changing the reward. Theoretically, the former produces a greater change in expected utility for risk averse agents. This paper uses two formats of a risk preference elicitation mechanism under two decision frames to test this hypothesis. After controlling for decision error, probability weighting, and order effects, subjects, on average, are slightly risk averse and prefer an increase in the expected value of a risk due to increasing the probability over a compensated increase in the reward. There is substantial across-format inconsistency but very little within-format inconsistency at the individual level. Key Words: risk, uncertainty, experiments

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Paper provided by Department of Economics, Appalachian State University in its series Working Papers with number 09-04.

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Date of creation: 2009
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Handle: RePEc:apl:wpaper:09-04

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Find related papers by JEL classification:
C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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  1. Meyers, Samuel L, Jr, 1983. "Estimating the Economic Model of Crime: Employment versus Punishment Effects," The Quarterly Journal of Economics, MIT Press, vol. 98(1), pages 157-66, February.
  2. Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-91, March. [Downloadable!] (restricted)
  3. Steffen Andersen & Glenn Harrison & Morten Lau & E. Rutström, 2009. "Elicitation using multiple price list formats," Experimental Economics, Springer, vol. 12(3), pages 365-366, September. [Downloadable!] (restricted)
  4. Rothschild, Michael & Stiglitz, Joseph E., 1970. "Increasing risk: I. A definition," Journal of Economic Theory, Elsevier, vol. 2(3), pages 225-243, September. [Downloadable!] (restricted)
  5. Hey, John D & Orme, Chris, 1994. "Investigating Generalizations of Expected Utility Theory Using Experimental Data," Econometrica, Econometric Society, vol. 62(6), pages 1291-1326, November. [Downloadable!] (restricted)
  6. Gary S. Becker, 1968. "Crime and Punishment: An Economic Approach," Journal of Political Economy, University of Chicago Press, vol. 76, pages 169. [Downloadable!] (restricted)
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  7. LeRoy, Stephen F & Singell, Larry D, Jr, 1987. "Knight on Risk and Uncertainty," Journal of Political Economy, University of Chicago Press, vol. 95(2), pages 394-406, April. [Downloadable!] (restricted)
  8. Ben Greiner, 2004. "The Online Recruitment System ORSEE 2.0 - A Guide for the Organization of Experiments in Economics," Working Paper Series in Economics 10, University of Cologne, Department of Economics. [Downloadable!]
  9. Block, Michael K & Gerety, Vernon E, 1995. "Some Experimental Evidence on Differences between Student and Prisoner Reactions to Monetary Penalties and Risk," Journal of Legal Studies, University of Chicago Press, vol. 24(1), pages 123-38, January.
  10. Harless, David W & Camerer, Colin F, 1994. "The Predictive Utility of Generalized Expected Utility Theories," Econometrica, Econometric Society, vol. 62(6), pages 1251-89, November. [Downloadable!] (restricted)
  11. Tversky, Amos & Kahneman, Daniel, 1992. " Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
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This page was last updated on 2009-11-14.


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