Critical Essay/CommentaryExperimental economics and deception
Section snippets
The orthodoxy on deception
Several eminent experimental economists have independently proposed a simple rule to govern the conduct of experiments. Douglas Davis and Charles Holt instruct budding experimenters thus:
“The researcher should … avoid deceiving participants. Most economists are very concerned about developing and maintaining a reputation … for honesty in order to ensure that subject actions are motivated by the … monetary rewards rather than by psychological reaction to suspected manipulation. Subjects may
Evidence
It is reasonably clear that The Prohibitionists oppose deception on the ground that it causes the data produced to be invalid. That is, the argument against deception is methodological. Methodological arguments are notoriously difficult to assess or rebut. It must be admitted that the assertions of The Prohibitionists are at least plausible or logically possible.
Psychologists have been experimenting with human subjects for more than a century, and have subjected the practice of experimental
Why deceive?
This brief review of the available evidence reveals that the concerns which The Prohibitionists express about the use of deception in experiments are exaggerated. Data supportive of The Prohibitionist view are rare, and the balance of the evidence is certainly to the contrary. Deceiving experimental subjects seems unlikely to bring experimental economists into disrepute. It is unlikely to taint the behaviour of experimental subjects. However, this does not establish the need for deception, or
Summary and conclusions
The experimental evidence directly undercuts the basis of attempts to proscribe deception. The implications of that evidence can be summarised briefly. Deception and the suspicion of deception do not generally or necessarily alter subject behaviour. Deception does not appear to “jeopardize future experiments” or “contaminate a subject pool”. It does not mean that “we have lost control”. Nor does it “taint” experiments or cause the data they produce to be invalid. Indeed, there is good reason to
Unlinked References
Burke et al., 1988
Acknowledgements
I am grateful to two anonymous referees for their comments, and to Alan Lewis, Friedel Bolle and Peter Lunt for their kind help.
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