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Optimal nonlinear policy: signal extraction with a non-normal prior Author info | Abstract | Publisher info | Download info | Related research | Statistics Eric T. Swanson
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The literature on optimal monetary policy typically makes three major assumptions: (1) policymakers' preferences are quadratic, (2) the economy is linear, and (3) stochastic shocks and policymakers' prior beliefs about unobserved variables are normally distributed. This paper relaxes the third assumption and explores its implications for optimal policy. The separation principle continues to hold in this framework, allowing for tractability and application to forward-looking models, but policymakers' beliefs are no longer updated in a linear fashion, allowing for plausible nonlinearities in optimal policy. We consider in particular a class of models in which policymakers' priors about the natural rate of unemployment are diffuse in a region around the mean. When this is the case, it is optimal for policy to respond cautiously to small surprises in the observed unemployment rate, but become increasingly aggressive at the margin. These features of optimal policy match statements by Federal Reserve officials and the behavior of the Fed in the 1990s.
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Paper provided by Federal Reserve Bank of San Francisco in its series Working Paper Series with number
2005-24.
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Date of creation: 2005Date of revision:
Publication status: Published in Journal of Economic Dynamics and Control, v. 30, no. 2 (February 2006) pp. 185-203Handle: RePEc:fip:fedfwp:2005-24Contact details of provider: Postal: P.O. Box 7702, San Francisco, CA 94120-7702 Phone: (415) 974-2000 Fax: (415) 974-3333 Email: Web page: http://www.frbsf.org/ More information through EDIRC
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Keywords: Monetary policy ; Econometric models ; Other versions of this item:
This paper has been announced in the following NEP Reports :
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Eric T. Swanson, 2005.
"Optimal nonlinear policy: signal extraction with a non-normal prior ,"
Working Paper Series
2005-24, Federal Reserve Bank of San Francisco.
[Downloadable!] Swanson, Eric T., 2006.
"Optimal nonlinear policy: signal extraction with a non-normal prior ,"
Journal of Economic Dynamics and Control ,
Elsevier, vol. 30(2), pages 185-203, February.
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Full
references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Eric T. Swanson, 2005.
"Optimal nonlinear policy: signal extraction with a non-normal prior ,"
Working Paper Series
2005-24, Federal Reserve Bank of San Francisco.
[Downloadable!]
Other versions:
Eric Swanson, 2005.
"Optimal Nonlinear Policy: Signal Extraction with a Non-Normal Prior ,"
Computing in Economics and Finance 2005
147, Society for Computational Economics.
[Downloadable!] Swanson, Eric T., 2006.
"Optimal nonlinear policy: signal extraction with a non-normal prior ,"
Journal of Economic Dynamics and Control ,
Elsevier, vol. 30(2), pages 185-203, February.
[Downloadable!] (restricted) G. C. Lim & Paul D. McNelis, 2006.
"Inflation Targeting, Learning and Q Volatility in Small Open Economies ,"
Melbourne Institute Working Paper Series
wp2006n22, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
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Other versions:
Paul D. McNelis & Guay Lim, 2006.
"Inflation Targeting, Learning and Q Volatility in Small Open Economies ,"
Computing in Economics and Finance 2006
104, Society for Computational Economics.
Lim, G.C. & McNelis, Paul D., 2007.
"Inflation targeting, learning and Q volatility in small open economies ,"
Journal of Economic Dynamics and Control ,
Elsevier, vol. 31(11), pages 3699-3722, November.
[Downloadable!] (restricted) Laurence H. Meyer & Eric T. Swanson & Volker W. Wieland, 2001.
"NAIRU uncertainty and nonlinear policy rules ,"
Finance and Economics Discussion Series
2001-01, Board of Governors of the Federal Reserve System (U.S.).
[Downloadable!]
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