In search of a robust inflation forecast
It is difficult to consistently improve upon forecasts of inflation based solely on the most recent data on inflation. In this article, we show how to do so. Our main finding is that the most robust forecasts combine information from several different forecasting models, each of which incorporates the information in the available inflation indicators in different ways.
Volume (Year): (2004)
Issue (Month): Q IV ()
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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.:
- Todd E. Clark & Michael W. McCracken, 2003.
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RWP 03-06, Federal Reserve Bank of Kansas City.
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- Christopher A. Sims, 2002. "The Role of Models and Probabilities in the Monetary Policy Process," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(2), pages 1-62.
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