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Heuristics in experiments with infinitely large strategy spaces

J{\o}rgen Vitting Andersen and Philippe de Peretti

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Abstract: We introduce a new methodology that enables detection of the onset of convergence towards Nash equilibria in simple repeated games with infinitely large strategy spaces, thereby revealing the heuristics used in decision-making. The method works by constraining on a special finite subset of strategies, called decoupled strategies. We show how the technique can be applied to understand price formation in financial market experiments by introducing a predictive measure {\Delta}D: the different between positive decoupled strategies (recommending to buy) and negative decoupled strategies (recommending to sell). Using {\Delta}D we illustrate how the method can predict (at certain special times) participants' actions with a high success rate in a series of experiments

Date: 2020-05
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Published in Journal of Business Research (2020)

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Handle: RePEc:arx:papers:2005.02337