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Decomposing Federal Funds Rate forecast uncertainty using real-time data

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Author Info
Mandler, Martin

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Abstract

Using real-time data I estimate out-of-sample forecast uncertainty about the Federal Funds Rate. Combining a Taylor rule with a model of economic fundamentals I disentangle economically interpretable components of forecast uncertainty: uncertainty about future economic conditions and uncertainty about future monetary policy. Uncertainty about U.S. monetary policy fell to unprecedented low levels in the 1980s and remained low while uncertainty about future output and inflation declined only temporarily. This points to an important role of increased predictability of monetary policy in explaining the decline in macroeconomic volatility in the U.S. since the mid-1980s.

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File URL: http://mpra.ub.uni-muenchen.de/13498/
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File URL: http://mpra.ub.uni-muenchen.de/18768/
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Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 13498.

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Date of creation: Feb 2008
Date of revision: Nov 2009
Handle: RePEc:pra:mprapa:13498

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Related research
Keywords: monetary policy reaction function; interest rate uncertainty; state-space model;

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Find related papers by JEL classification:
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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