Robustly Optimal Monetary Policy in a Microfounded New Keynesian Model

65 Pages Posted: 1 Mar 2012

See all articles by Klaus Adam

Klaus Adam

University of Mannheim; European Central Bank (ECB) - Department of Research; Centre for Economic Policy Research (CEPR)

Michael Woodford

Columbia University, Graduate School of Arts and Sciences, Department of Economics

Date Written: February 2012

Abstract

We consider optimal monetary stabilization policy in a New Keynesian model with explicit microfoundations, when the central bank recognizes that private-sector expectations need not be precisely model-consistent, and wishes to choose a policy that will be as good as possible in the case of any beliefs close enough to model-consistency. We show how to characterize robustly optimal policy without restricting consideration a priori to a particular parametric family of candidate policy rules. We show that robustly optimal policy can be implemented through commitment to a target criterion involving only the paths of inflation and a suitably defined output gap, but that a concern for robustness requires greater resistance to surprise increases in inflation than would be considered optimal if one could count on the private sector to have 'rational expectations'.

Keywords: belief distortions, near-rational expectations, robust control, target criterion

JEL Classification: D81, D84, E52

Suggested Citation

Adam, Klaus and Woodford, Michael, Robustly Optimal Monetary Policy in a Microfounded New Keynesian Model (February 2012). CEPR Discussion Paper No. DP8826, Available at SSRN: https://ssrn.com/abstract=2013817

Klaus Adam (Contact Author)

University of Mannheim ( email )

Department of Economics
L7 ,3-5
Mannheim, 68131
Germany

HOME PAGE: http://adam.vwl.uni-mannheim.de/1528.0.html

European Central Bank (ECB) - Department of Research ( email )

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Centre for Economic Policy Research (CEPR) ( email )

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Michael Woodford

Columbia University, Graduate School of Arts and Sciences, Department of Economics ( email )

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New York, NY 10027
United States