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Comparing forecast-based and backward-looking Taylor rules: a "global" analysis

  • Stefano Eusepi

This paper examines the performance of forecast-based nonlinear Taylor rules in a class of simple microfunded models. The paper shows that even if the policy rule leads to a locally determinate (and stable) inflation target, there exist other learnable "global" equilibria such as cycles and sunspots. Moreover, under learning dynamics, the economy can fall into a liquidity trap. By contrast, more backward-looking and "active" Taylor rules guarantee that the unique learnable equilibrium is the inflation target. This result is robust to different specifications of the role of money, price stickiness, and the trading environment.

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Paper provided by Federal Reserve Bank of New York in its series Staff Reports with number 198.

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Date of creation: 2005
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Handle: RePEc:fip:fednsr:198
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  1. Bloise, Gaetano, 2001. "A Geometric Approach to Sunspot Equilibria," Journal of Economic Theory, Elsevier, vol. 101(2), pages 519-539, December.
  2. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules And Macroeconomic Stability: Evidence And Some Theory," The Quarterly Journal of Economics, MIT Press, vol. 115(1), pages 147-180, February.
  3. Andrew Levin & Volker Wieland & John Williams, 2000. "The Performance Of Forecast-Based Monetary Policy Rules Under Model Uncertainty," Computing in Economics and Finance 2000 203, Society for Computational Economics.
  4. Benhabib, J. & Schmitt-Grohe, S. & Uribe, M., 1998. "Monetary Policy and Multiple Equilibria," Working Papers 98-02, C.V. Starr Center for Applied Economics, New York University.
  5. Batini, Nicoletta & Nelson, Edward, 2001. "Optimal horizons for inflation targeting," Journal of Economic Dynamics and Control, Elsevier, vol. 25(6-7), pages 891-910, June.
  6. James Bullard & John Duffy, 1995. "On learning and the stability of cycles," Working Papers 1995-006, Federal Reserve Bank of St. Louis.
  7. Grandmont, Jean-Michel, 1986. "Stabilizing competitive business cycles," Journal of Economic Theory, Elsevier, vol. 40(1), pages 57-76, October.
  8. Woodford, Michael, 2000. "Optimal Monetary Policy Inertia," Seminar Papers 666, Stockholm University, Institute for International Economic Studies.
  9. Carlstrom, Charles T. & Fuerst, Timothy S., 2004. "Learning and the central bank," Journal of Monetary Economics, Elsevier, vol. 51(2), pages 327-338, March.
  10. Jean-Michel Grandmont, 1997. "Expectations Formation and Stability of Large Socioeconomic Systems," Working Papers 97-27, Centre de Recherche en Economie et Statistique.
  11. Lawrence J. Christiano & Sharon G. Harrison, 1996. "Chaos, sunspots, and automatic stabilizers," Working Paper Series, Macroeconomic Issues WP-96-16, Federal Reserve Bank of Chicago.
  12. George W. Evans & Seppo Honkapohja & Ramon Marimon, 2001. "Stable Sunspot Equilibria in a Cash-in-Advance Economy," CESifo Working Paper Series 611, CESifo Group Munich.
  13. Benhabib, J. & Schmitt-Grohe, S. & Uribe, M., 1999. "Avoiding Liquidity Traps," Working Papers 99-21, C.V. Starr Center for Applied Economics, New York University.
  14. Bullard, James & Mitra, Kaushik, 2002. "Learning about monetary policy rules," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1105-1129, September.
  15. Evans, George W. & Honkapohja, Seppo, 2003. "Existence of adaptively stable sunspot equilibria near an indeterminate steady state," Journal of Economic Theory, Elsevier, vol. 111(1), pages 125-134, July.
  16. Bernanke, Ben S & Woodford, Michael, 1997. "Inflation Forecasts and Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(4), pages 653-84, November.
  17. Kaushik Mitra & Seppo Honkapohja, 2004. "Are Non-Fundamental Equilibria Learnable in Models of Monetary Policy?," Royal Holloway, University of London: Discussion Papers in Economics 04/13, Department of Economics, Royal Holloway University of London, revised Jul 2004.
  18. repec:cup:macdyn:v:2:y:1998:i:1:p:22-48 is not listed on IDEAS
  19. Jess Benhabib & Stephanie Schmitt-Grohe & Martin Uribe, 2001. "Chaotic Interest Rate Rules," Departmental Working Papers 200109, Rutgers University, Department of Economics.
  20. Charles T. Carlstrom & Timothy S. Fuerst, 2000. "Forward-looking versus backward-looking Taylor rules," Working Paper 0009, Federal Reserve Bank of Cleveland.
  21. Charles T. Carlstrom & Timothy S. Fuerst, 2001. "Timing and real indeterminacy in monetary models," Working Paper 9910R, Federal Reserve Bank of Cleveland.
  22. Evans, George W & Honkapohja, Seppo, 1995. "Local Convergence of Recursive Learning to Steady States and Cycles in Stochastic Nonlinear Models," Econometrica, Econometric Society, vol. 63(1), pages 195-206, January.
  23. Bullard, James & Duffy, John, 1998. "Learning And The Stability Of Cycles," Macroeconomic Dynamics, Cambridge University Press, vol. 2(01), pages 22-48, March.
  24. Jean-Michel Grandmont & P, A, Pintus & R, De Vilder, 1997. "Capital-Labor Substitution and Competitive Nonlinear Endogenous Business Cycles," Working Papers 97-28, Centre de Recherche en Economie et Statistique.
  25. Michael Woodford, 2000. "Pitfalls of Forward-Looking Monetary Policy," American Economic Review, American Economic Association, vol. 90(2), pages 100-104, May.
  26. Lawrence J. Christiano & Massimo Rostagno, 2001. "Money Growth Monitoring and the Taylor Rule," NBER Working Papers 8539, National Bureau of Economic Research, Inc.
  27. Azariadis, Costas & Guesnerie, Roger, 1986. "Sunspots and Cycles," Review of Economic Studies, Wiley Blackwell, vol. 53(5), pages 725-37, October.
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