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The market-perceived monetary policy rule

  • James D. Hamilton
  • Seth Pruitt
  • Scott C. Borger

We introduce a novel method for estimating a monetary policy rule using macroeconomic news. Market forecasts of both economic conditions and monetary policy are affected by news, and our estimation links the two effects. This enables us to estimate directly the policy rule agents use to form their expectations, and in so doing flexibly capture the particular dynamics of policy response. We find evidence that between 1994 and 2007 the market-perceived Federal Reserve policy rule changed: the output response vanished, and the inflation response path became more gradual but larger in long-run magnitude. In a standard model we show that output smoothing caused by a larger inflation response magnitude is offset by the more measured pace of response. Our response coefficient estimates are robust to measurement and theoretical issues with both potential output and the inflation target.

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Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series International Finance Discussion Papers with number 982.

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Date of creation: 2009
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Handle: RePEc:fip:fedgif:982
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  1. Andrew Ang & Sen Dong & Monika Piazzesi, 2007. "No-Arbitrage Taylor Rules," NBER Working Papers 13448, National Bureau of Economic Research, Inc.
  2. Pagan, Adrian, 1986. "Two Stage and Related Estimators and Their Applications," Review of Economic Studies, Wiley Blackwell, vol. 53(4), pages 517-38, August.
  3. 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.
  4. Athanasios Orphanides, 2001. "Monetary Policy Rules Based on Real-Time Data," American Economic Review, American Economic Association, vol. 91(4), pages 964-985, September.
  5. Jon Faust & John H. Rogers & Shing-Yi B. Wang & Jonathan H. Wright, 2003. "The high-frequency response of exchange rates and interest rates to macroeconomic announcements," International Finance Discussion Papers 784, Board of Governors of the Federal Reserve System (U.S.).
  6. Lawrence J. Christiano & Martin Eichenbaum & Charles Evans, 2001. "Nominal rigidities and the dynamic effects of a shock to monetary policy," Working Paper 0107, Federal Reserve Bank of Cleveland.
  7. Michael Owyang & Garey Ramey, 2003. "Regime switching and monetary policy measurement," Working Papers 2001-002, Federal Reserve Bank of St. Louis.
  8. Athanasios Orphanides & Simon van Norden, 2002. "The Unreliability of Output-Gap Estimates in Real Time," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 569-583, November.
  9. Refet S. Gürkaynak & Brian Sack & Eric Swanson, 2005. "The Sensitivity of Long-Term Interest Rates to Economic News: Evidence and Implications for Macroeconomic Models," American Economic Review, American Economic Association, vol. 95(1), pages 425-436, March.
  10. Monika Piazzesi & Eric T. Swanson, 2006. "Futures prices as risk-adjusted forecasts of monetary policy," Working Paper Series 2006-23, Federal Reserve Bank of San Francisco.
  11. Hamilton, James D., 2008. "Daily monetary policy shocks and new home sales," Journal of Monetary Economics, Elsevier, vol. 55(7), pages 1171-1190, October.
  12. Josephine M. Smith & John B. Taylor, 2007. "The Long and the Short End of the Term Structure of Policy Rules," NBER Working Papers 13635, National Bureau of Economic Research, Inc.
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