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Real-Time Model Uncertainty in the United States: the Fed from 1996-2003 Author info | Abstract | Publisher info | Download info | Related research | Statistics Ironside, Brian
Tetlow, Robert J.
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We study 30 vintages of FRB/US, the principal macro model used by the Federal Reserve Board staff for forecasting and policy analysis. To do this, we exploit archives of the model code, coefficients, baseline databases and stochastic shock sets stored after each FOMC meeting from the model’s inception in July 1996 until November 2003. The period of study was one of important changes in the US economy with a productivity boom, a stock market boom and bust, a recession, the Asia crisis, the Russian debt default, and an abrupt change in fiscal policy. We document the surprisingly large and consequential changes in model properties that occurred during this period and compute optimal Taylor-type rules for each vintage. We compare these optimal rules against plausible alternatives. Model uncertainty is shown to be a substantial problem; the efficacy of purportedly optimal policy rules should not be taken on faith. We also find that previous findings that simple rules are robust to model uncertainty may be an overly sanguine conclusion.
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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number
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Date of creation: Oct 2005Date of revision:
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Keywords: monetary policy ; real-time analysis ; uncertainty ; Other versions of this item:
Find related papers by JEL classification: C5 - Mathematical and Quantitative Methods - - Econometric Modeling C6 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
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