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Robust Inflation-Forecast-Based Rules to Shield against Indeterminacy Author info | Abstract | Publisher info | Download info | Related research | Statistics Nicoletta Batini (International Monetary Fund)
Alejandro Justiniano (International Monetary Fund)
Paul Levine (University of Surrey)
Joseph Pearlman (London Metropolitan University)
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registered author(s):
This paper provides a first attempt to quantify and at the same time utilize estimated measures of uncertainty for the design of robust interest rate rules. We estimate several variants of a linearized form of a New Keynesian model using quarterly US data. Both our theoretical and numerical results indicate that Inflation-Forecast-Based (IFB) rules are increasingly prone to the problem of indeterminacy as the forward horizon increases. As a consequence the stabilization performance of optimized rules of this type worsens too. Robust IFB rules can be designed to avoid indeterminacy in an uncertain environment, but at an increasing utility loss as rules become more forward-looking.
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Paper provided by Department of Economics, University of Surrey in its series Department of Economics Discussion Papers with number
0804.
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Length: 46 pages
Date of creation: Sep 2004Date of revision:
Handle: RePEc:sur:surrec:0804Contact details of provider: Postal: Guildford, Surrey GU2 5XH Phone: (01483) 259380 Fax: (01483) 259548 Email: Web page: http://www.econ.surrey.ac.uk More information through EDIRC
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Keywords: robustness Taylor rules inflation-forecast-based rules indeterminacy Other versions of this item:
Find related papers by JEL classification: E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
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