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The Duhem-Quine thesis asserts that any empirical evaluation of a theory is in fact a composite test of several interconnected hypotheses. Recalcitrant evidence signals falsity within the conjunction of hypotheses, but logic alone cannot pinpoint the individual element(s) inside the theoretical cluster responsible for a false prediction. This paper considers the relevance of the Duhem-Quine thesis for experimental economics. A starting point is to detail how laboratory evaluations of economic hypotheses constitute composite tests. Another aim is to scrutinize the strategy of conducting a series of experiments in order to hem in the source(s) of disconfirmative evidence. A Bayesian approach is employed to argue that reproducing experiments may be useful in terms of identifying plausible causes of recalcitrant data.
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Morten Søberg (2005) studied this question.
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