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Policy Evaluation in Uncertain Economic Environments Author info | Abstract | Publisher info | Download info | Related research | Statistics William A. Brock (University of Wisconsin)
Steven N. Durlauf (University of Wisconsin)
Kenneth D. West (University of Wisconsin)
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This paper develops a general framework for economic policy evaluation. Using ideas from statistical decision theory, it argues that conventional approaches fail to appropriately integrate econometric analysis into evaluation problems. Further, it is argued that evaluation of alternative policies should explicitly account for uncertainty about the appropriate model of the economy. The paper shows how to develop an explicitly decision-theoretic approach to policy evaluation and how to incorporate model uncertainty into such an analysis. The theoretical implications of model uncertainty are explored in a set of examples, with a specific focus on how to design policies that are robust against such uncertainty. Finally, the framework is applied to the evaluation of monetary policy rules and to the analysis of tariff reductions as a way to increase aggregate economic growth.
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Article provided by Economic Studies Program, The Brookings Institution in its journal Brookings Papers on Economic Activity .
Volume (Year): 34 (2003)
Issue (Month): 2003-1 ()
Pages: 235-322
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Handle: RePEc:bin:bpeajo:v:34:y:2003:i:2003-1:p:235-322Contact details of provider: Postal: 1775 Massachusetts Ave NW, Washington DC 20036 Phone: (202) 797-6000 Fax: (202) 797-6004 Email: Web page: http://www.brookings.edu/es/ More information through EDIRC
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Keywords: macroeconomics Policy Evaluation Uncertain Economic Environments Other versions of this item:
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