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Monetary Policy in Real Time

  • Domenico Giannone
  • Lucrezia Reichlin
  • Luca Sala

We analyse the panel of the Greenbook forecasts (sample 1970-1996) and a large panel of monthly variables for the US (sample 1970-2003) and show that the bulk of dynamics of both the variables and their forecasts is explained by two shocks. Moreover, a two factor model which exploits, in real time, information on many time series to extract a two dimensional signal, produces a degree of forecasting accuracy of the federal funds rate similar to that of the markets, and, for output and inflation, similar to that of the Greenbook forecasts. This leads us to conclude that the stochastic dimension of the US economy is two. We also show that dimension two is generated by a real and nominal shock, with output mainly driven by the real shock and inflation by the nominal shock. The implication is that, by tracking any forecastable measure of real activity and price dynamics, the Central Bank can track all fundamental dynamics in the economy.

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Paper provided by IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University in its series Working Papers with number 284.

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Date of creation: 2005
Date of revision:
Handle: RePEc:igi:igierp:284
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  1. Athanasios Orphanides & Richard D. Porter & David L. Reifschneider & Robert J. Tetlow & Frederico Finan, 1999. "Errors in the measurement of the output gap and the design of monetary policy," Finance and Economics Discussion Series 1999-45, Board of Governors of the Federal Reserve System (U.S.).
  2. Rudebusch, Glenn D., 2002. "Term structure evidence on interest rate smoothing and monetary policy inertia," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1161-1187, September.
  3. Giannone, Domenico & Reichlin, Lucrezia & Sala, Luca, 2002. "Tracking Greenspan: Systematic and Unsystematic Monetary Policy Revisited," CEPR Discussion Papers 3550, C.E.P.R. Discussion Papers.
  4. Athanasios Orphanides & Simon Van_Norden, 2000. "The Reliability of Output Gap Estimates in Real Time," Econometric Society World Congress 2000 Contributed Papers 0768, Econometric Society.
  5. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-62, April.
  6. Mario Forni & Marc Hallin & Lucrezia Reichlin & Marco Lippi, 2000. "The generalised dynamic factor model: identification and estimation," ULB Institutional Repository 2013/10143, ULB -- Universite Libre de Bruxelles.
  7. Richard Clarida & Jordi Galí & Mark Gertler, 1997. "Monetary policy rules and macroeconomic stability: Evidence and some theory," Economics Working Papers 350, Department of Economics and Business, Universitat Pompeu Fabra, revised May 1999.
  8. Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Econometric Society World Congress 2000 Contributed Papers 1504, Econometric Society.
  9. Olivier Jean Blanchard & Danny Quah, 1988. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," NBER Working Papers 2737, National Bureau of Economic Research, Inc.
  10. Thomas J. Sargent & Christopher A. Sims, 1977. "Business cycle modeling without pretending to have too much a priori economic theory," Working Papers 55, Federal Reserve Bank of Minneapolis.
  11. Flint Brayton & John M. Roberts & John C. Williams, 1999. "What's happened to the Phillips curve?," Finance and Economics Discussion Series 1999-49, Board of Governors of the Federal Reserve System (U.S.).
  12. Charles L. Evans, 1998. "Real-time Taylor rules and the federal funds futures market," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q III, pages 44-55.
  13. Francis X. Diebold & Glenn D. Rudebusch, 1989. "Forecasting output with the composite leading index: an ex ante analysis," Finance and Economics Discussion Series 90, Board of Governors of the Federal Reserve System (U.S.).
  14. Rudebusch, Glenn D., 2000. "Assessing nominal income rules for monetary policy with model and data uncertainty," Working Paper Series 0014, European Central Bank.
  15. Athanasios Orphanides, 2003. "Historical monetary policy analysis and the Taylor rule," Finance and Economics Discussion Series 2003-36, Board of Governors of the Federal Reserve System (U.S.).
  16. Andrew Atkeson & Lee E. Ohanian, 2001. "Are Phillips curves useful for forecasting inflation?," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Win, pages 2-11.
  17. Dean Croushore & Tom Stark, 2003. "A Real-Time Data Set for Macroeconomists: Does the Data Vintage Matter?," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 605-617, August.
  18. Christina D. Romer & David H. Romer, 1994. "What Ends Recessions?," NBER Working Papers 4765, National Bureau of Economic Research, Inc.
    • Christina D. Romer & David H. Romer, 1994. "What Ends Recessions?," NBER Chapters, in: NBER Macroeconomics Annual 1994, Volume 9, pages 13-80 National Bureau of Economic Research, Inc.
  19. Ben S. Bernanke & Jean Boivin, 2001. "Monetary Policy in a Data-Rich Environment," NBER Working Papers 8379, National Bureau of Economic Research, Inc.
  20. Athanasios Orphanides, 2001. "Monetary Policy Rules Based on Real-Time Data," American Economic Review, American Economic Association, vol. 91(4), pages 964-985, September.
  21. Stock, James H. & Watson, Mark W., 1999. "Forecasting inflation," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 293-335, October.
  22. David H. Romer & Christina D. Romer, 2000. "Federal Reserve Information and the Behavior of Interest Rates," American Economic Review, American Economic Association, vol. 90(3), pages 429-457, June.
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