High Stakes Behavior with Low Payoffs: Inducing Preferences with Holt-Laury Gambles
AbstractA continuing goal of experiments is to understand risky decisions when the decisions are important. Often a decision’s importance is related to the magnitude of the associated monetary stake. Khaneman and Tversky (1979) argue that risky decisions in high stakes environments can be informed using questionnaires with hypothetical choices (since subjects have no incentive to answer questions falsely.) However, results reported by Holt and Laury (2002, henceforth HL), as well as replications by Harrison (2005) suggest that decisions in “high” monetary payoff environments are not well-predicted by questionnaire responses. Thus, a potential implication of the HL results is that studying decisions in high stakes environments requires using high stakes. Here we describe and implement a procedure for studying high-stakes behavior in a low-stakes environment. We use the binary-lottery reward technique (introduced by Berg, et al (1986)) to induce preferences in a way that is consistent with the decisions reported by HL under a variety of stake sizes. The resulting decisions, all of which were made in a low-stakes environment, reflect surprisingly well the noisy choice behavior reported by HL’s subjects even in their highstakes environment. This finding is important because inducing preferences evidently requires substantially less cost than paying people to participate in extremely high-stakes games.
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Bibliographic InfoPaper provided by Chapman University, Economic Science Institute in its series Working Papers with number 08-11.
Length: 22 pages
Date of creation: 2008
Date of revision:
Other versions of this item:
- Dickhaut, John & Houser, Daniel & Aimone, Jason A. & Tila, Dorina & Johnson, Cathleen, 2013. "High stakes behavior with low payoffs: Inducing preferences with Holt–Laury gambles," Journal of Economic Behavior & Organization, Elsevier, vol. 94(C), pages 183-189.
- C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
- 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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