High Stakes Behavior with Low Payoffs: Inducing Preferences with Holt-Laury Gambles

Kahneman and Tversky (1979) argued that risky decisions in high stakes environments can be informed using questionnaires with hypothetical choices. Yet results by Holt and Laury (2002) suggest that questionnaire responses and decisions in hypothetical and low monetary payoff environments do not well predict decisions in higher monetary payoff environments. This raises the question of whether investigating decision making in high stakes environments requires using high stakes. Here we show that one can induce preferences using the binary-lottery reward technique (e.g., Berg et al., 1986) in order to study high-stakes decision making using low-stakes. In particular, we induce preferences such that decisions in a low-stakes environment reflect well the choices made in the high stakes environment of Holt and Laury (2002). This finding is of interest to anyone interested in studying high-stakes decision behavior without paying high stakes.

[1]  David Porter,et al.  Group Prediction in Information Markets With and Without Trading Information and Price Manipulation Incentives , 2008 .

[2]  Charles A. Holt,et al.  Risk Aversion and Incentive Effects , 2002 .

[3]  Colin Camerer Behavioral Game Theory , 1990 .

[4]  A. Tversky,et al.  Prospect theory: an analysis of decision under risk — Source link , 2007 .

[5]  Glenn W. Harrison,et al.  Expected utility theory and the experiments , 1994 .

[6]  Robin Hanson,et al.  Can Manipulators Mislead Prediction Market Observers , 2008 .

[7]  John Dickhaut,et al.  Decision making and trade without probabilities , 2006 .

[8]  A. Tversky,et al.  Prospect Theory : An Analysis of Decision under Risk Author ( s ) : , 2007 .

[9]  R. Thaler,et al.  Deal or No Deal? Decision Making under Risk in a Large-Payoff Game Show , 2008 .

[10]  Joyce E. Berg,et al.  Controlling Preferences for Lotteries on Units of Experimental Exchange , 1986 .

[11]  Daniel Houser,et al.  Fairness and Cheating , 2011 .

[12]  G. Harrison Maximum Likelihood Estimation of Utility Functions Using Stata , 2008 .

[13]  R. Schubert,et al.  Rationality on the rise: Why relative risk aversion increases with stake size , 2009 .

[14]  V. Smith Papers in experimental economics , 1991 .

[15]  A. Roth Introduction to Experimental Economics , 2004 .

[16]  John Dickhaut,et al.  Does information transparency decrease coordination failure? , 2010, Games Econ. Behav..

[17]  P. Wakker,et al.  Reconciling introspective utility with revealed preference: Experimental arguments based on prospect theory , 2007 .

[18]  Eric Johnson,et al.  Risk Aversion and Incentive Effects: Comment , 2004 .

[19]  John Dickhaut,et al.  A Neuronal Mechanism of Choice , 2008 .

[20]  Thomas A. Rietz,et al.  Preference Reversals and Induced Risk Preferences: Evidence for Noisy Maximization , 2003 .

[21]  Colin Camerer,et al.  The Effects of Financial Incentives in Experiments: A Review and Capital-Labor-Production Framework , 1999 .

[22]  J. Kagel,et al.  Handbook of Experimental Economics , 1997 .

[23]  Gunduz Caginalp,et al.  Asset Market Reactions to News: An Experimental Study , 2010 .

[24]  R. Selten,et al.  Money Does Not Induce Risk Neutral Behavior, but Binary Lotteries Do even Worse , 1999 .

[25]  Amnon Rapoport,et al.  Equilibrium Play and Adaptive Learning in a Three-Person Centipede Game , 2003, Games Econ. Behav..

[26]  A. Roth,et al.  Game-Theoretic Models and the Role of Information in Bargaining , 1979 .

[27]  John Dickhaut,et al.  Generating Ambiguity in the Laboratory , 2007, Manag. Sci..

[28]  Glenn W. Harrison,et al.  Expected Utility Theory and the Experimentalists , 1994 .