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Optimal policy with probabilistic equilibrium selection Author info | Abstract | Publisher info | Download info | Related research | Statistics Huberto Ennis
Todd Keister
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This paper introduces an approach to the study of optimal government policy in economies characterized by a coordination problem and multiple equilibria. Such models are often criticized as not being useful for policy analysis because they fail to assign a unique prediction to each possible policy choice. We employ a selection mechanism that assigns, ex ante, a probability to each equilibrium indicating how likely it is to obtain. With this, the optimal policy is well defined. We show how such a mechanism can be derived as the natural result of an adaptive learning process. This approach generates a theory of how government policy affects the process of equilibrium selection; we illustrate this theory by applying it to problems related to the choice of technology and the optimal sales tax on Internet commerce.
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Paper provided by Federal Reserve Bank of Richmond in its series Working Paper with number
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Date of creation: 2001Date of revision:
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Keywords: Public policy ; Electronic commerce ; Equilibrium (Economics) ; Other versions of this item:
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Aubhik Khan & Robert G. King & Alexander L. Wolman, 2001.
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