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Forecasting inflation in an inflation-targeting regime: A role for informative steady-state priors

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  • Beechey, Meredith
  • Österholm, Pär

Abstract

Inflation targeting as a monetary-policy regime is widely associated with an explicit numerical target for the rate of inflation. This paper investigates whether the forecasting performance of Bayesian autoregressive models can be improved by incorporating information about the target. We compare a mean-adjusted specification, which allows an informative prior on the distribution for the steady state of the process, to traditional methodology. We find that the out-of-sample forecasts of the mean-adjusted autoregressive model outperform those of the traditional specification, often by non-trivial amounts, for five early adopters of inflation targeting. It is also noted that as the sample lengthens, the posterior distribution of steady-state inflation narrows more for countries with explicit point targets.

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Bibliographic Info

Article provided by Elsevier in its journal International Journal of Forecasting.

Volume (Year): 26 (2010)
Issue (Month): 2 (April)
Pages: 248-264

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Handle: RePEc:eee:intfor:v:26:y::i:2:p:248-264

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Web page: http://www.elsevier.com/locate/ijforecast

Related research

Keywords: Monetary policy Central bank preferences;

References

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  1. Sharon Kozicki & Peter Tinsley, 2004. "Permanent and transitory policy shocks in an empirical macro model with asymmetric information," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
  2. Athanasios Orphanides & John C. Williams, 2006. "Inflation targeting under imperfect knowledge," Finance and Economics Discussion Series 2006-20, Board of Governors of the Federal Reserve System (U.S.).
  3. Malin Adolfson & Michael K. Andersson & Jesper Lindé & Mattias Villani & Anders Vredin, 2007. "Modern Forecasting Models in Action: Improving Macroeconomic Analyses at Central Banks," International Journal of Central Banking, International Journal of Central Banking, vol. 3(4), pages 111-144, December.
  4. Granger, Clive W. J. & Jeon, Yongil, 2003. "Comparing forecasts of inflation using time distance," International Journal of Forecasting, Elsevier, vol. 19(3), pages 339-349.
  5. Svensson, Lars E.O., 1997. "Inflation Targeting: Some Extensions," Seminar Papers 625, Stockholm University, Institute for International Economic Studies.
  6. James H. Stock & Mark W. Watson, 2006. "Why Has U.S. Inflation Become Harder to Forecast?," NBER Working Papers 12324, National Bureau of Economic Research, Inc.
  7. Junttila, Juha, 2001. "Testing an Augmented Fisher Hypothesis for a Small Open Economy: The Case of Finland," Journal of Macroeconomics, Elsevier, vol. 23(4), pages 577-599, October.
  8. Athanasios Orphanides & John Williams, 2004. "Imperfect Knowledge, Inflation Expectations, and Monetary Policy," NBER Chapters, in: The Inflation-Targeting Debate, pages 201-246 National Bureau of Economic Research, Inc.
  9. Francis X. Diebold & Robert S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
  10. P&aauml;r �sterholm & Jeromin Zettelmeyer, 2008. "The Effect of External Conditions on Growth in Latin America," IMF Staff Papers, Palgrave Macmillan, vol. 55(4), pages 595-623, December.
  11. Hubrich, Kirstin, 2003. "Forecasting euro area inflation: Does aggregating forecasts by HICP component improve forecast accuracy?," Working Paper Series 0247, European Central Bank.
  12. Peter N. Ireland, 2005. "Changes in the Federal Reserve’s Inflation Target: Causes and Consequences," Boston College Working Papers in Economics 607, Boston College Department of Economics.
  13. Wallace, Myles S & Warner, John T, 1993. "The Fisher Effect and the Term Structure of Interest Rates: Tests of Cointegration," The Review of Economics and Statistics, MIT Press, vol. 75(2), pages 320-24, May.
  14. Murray Sherwin, 1999. "Strategic choices in inflation targeting: the New Zealand experience," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 62, June.
  15. Crowder, William J & Hoffman, Dennis L, 1996. "The Long-Run Relationship between Nominal Interest Rates and Inflation: The Fisher Equation Revisited," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(1), pages 102-18, February.
  16. Stock, James H. & Watson, Mark W., 1999. "Forecasting inflation," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 293-335, October.
  17. Meredith Beechey & Par Osterholm, 2007. "The rise and fall of U.S. inflation persistence," Finance and Economics Discussion Series 2007-26, Board of Governors of the Federal Reserve System (U.S.).
  18. Mattias Villani, 2009. "Steady-state priors for vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650.
  19. James H. Stock & Mark W. Watson, 2007. "Erratum to "Why Has U.S. Inflation Become Harder to Forecast?"," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1849-1849, October.
  20. Armstrong, J. Scott, 2007. "Significance tests harm progress in forecasting," International Journal of Forecasting, Elsevier, vol. 23(2), pages 321-327.
  21. Lahiri, Kajal & Sheng, Xuguang, 2008. "Evolution of forecast disagreement in a Bayesian learning model," Journal of Econometrics, Elsevier, vol. 144(2), pages 325-340, June.
  22. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
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Citations

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Cited by:
  1. Karlsson, Sune, 2012. "Forecasting with Bayesian Vector Autoregressions," Working Papers 2012:12, Örebro University, School of Business.
  2. Antipin, Jan-Erik & Boumediene, Farid Jimmy & Österholm, Pär, 2012. "Forecasting Inflation Using Constant Gain Least Squares," Working Paper 126, National Institute of Economic Research.
  3. Thomas Jonsson & Pär Österholm, 2012. "The properties of survey-based inflation expectations in Sweden," Empirical Economics, Springer, vol. 42(1), pages 79-94, February.
  4. Andrés González & Kirstin Hubrich & Timo Teräsvirta, 2009. "Forecasting inflation with gradual regime shifts and exogenous information," CREATES Research Papers 2009-03, School of Economics and Management, University of Aarhus.
  5. Österholm, Pär, 2012. "The limited usefulness of macroeconomic Bayesian VARs when estimating the probability of a US recession," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 76-86.

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