Generating Ambiguity in the Laboratory
Jack Douglas Stecher
Carnegie Mellon University - David A. Tepper School of Business
Timothy W. Shields
Chapman University - George L. Argyros School of Business & Economics
John W. Dickhaut
Chapman University (Deceased)
September 1, 2007
Management Science, Volume 57, Number 4 (April 2011), pp. 705-712
This article develops a method for drawing samples from a distribution with no finite quantiles or moments. The method provides researchers with a way to give subjects the experience of ambiguity. In any experiment, learning the distribution from experience is impossible for the subjects, essentially because it is impossible for the experimenter. We characterize our method, illustrate it in simulations, and then test it in a laboratory experiment. Our method does not withhold sampling information, does not assume that the subject is incapable of making statistical inferences, is replicable across experiments, and requires no special apparatus. We compare our method to the techniques used in related experiments that attempt to produce an ambiguous experience for the subjects.
Keywords: ambiguity, Ellsberg, Knightian uncertainty, laboratory experiments, decision analysis, theory
JEL Classification: C90, C91, C92, D80, D81Accepted Paper Series
Date posted: September 27, 2007 ; Last revised: January 27, 2013
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