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Real Time Representation of the UK Output Gap in the Presence of Trend Uncertainty

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Author Info
Anthony Garratt (Department of Economics, Mathematics & Statistics, Birkbeck)
Kevin Lee
Emi Mise
Kalvinder Shields

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Abstract

This paper describes an approach that accommodates in a coherent way three types of uncertainty when measuring the output gap. These are trend uncertainty (associated with the choice of model and de-trending technique), estimation uncertainty (with a given model) and data uncertainty (associated with the reliability of data). The approach employs VAR models to explain real time measures and realisations of output series jointly along with Bayesian-style ‘model averaging’ procedures. Probability forecasts provide a comprehensive representation of the output gap and the associated uncertainties in real time. The approach is illustrated using a real time dataset for the UK over 1961q2 — 2005q4.

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File URL: http://www.ems.bbk.ac.uk/research/wp/PDF/BWPEF0618.pdf
File Format: application/pdf
File Function: First version, 2006
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Publisher Info
Paper provided by Birkbeck, Department of Economics, Mathematics & Statistics in its series Birkbeck Working Papers in Economics and Finance with number 0618.

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Date of creation: Dec 2006
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Handle: RePEc:bbk:bbkefp:0618

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Related research
Keywords: Output gap; real time data; revisions; Hodrick-Prescott trend; exponential smoothing trend; moving average trend; model uncertainty; probability forecasts.;

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Find related papers by JEL classification:
E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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References listed on IDEAS
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    Other versions:
  2. Athanasios Orphanides, 1998. "Monetary policy rules based on real-time data," Finance and Economics Discussion Series 1998-03, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
    Other versions:
  3. Harvey, A C & Jaeger, A, 1993. "Detrending, Stylized Facts and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(3), pages 231-47, July-Sept. [Downloadable!] (restricted)
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    Other versions:
  5. Harvey, A C, 1985. "Trends and Cycles in Macroeconomic Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(3), pages 216-27, June.
  6. Anthony Garratt & Shaun P Vahey, 2005. "UK Real-Time Macro Data Characteristics," Birkbeck Working Papers in Economics and Finance 0502, Birkbeck, Department of Economics, Mathematics & Statistics. [Downloadable!]
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  7. Kevin Lee & Emi Mise & Kalvinder Shields & Tony Garratt, 2005. "Real time Representations of the Output Gap," Money Macro and Finance (MMF) Research Group Conference 2005 26, Money Macro and Finance Research Group. [Downloadable!]
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  8. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 1998. "Monetary Policy Shocks: What Have We Learned and to What End?," NBER Working Papers 6400, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  9. Hashem Pesaran & Paolo Zaffaroni & Banca d'Italia), 2004. "Model Averaging and Value-at-Risk based Evaluation of Large Multi Asset Volatility Models for Risk Management," Money Macro and Finance (MMF) Research Group Conference 2004 101, Money Macro and Finance Research Group. [Downloadable!]
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  10. Lars E. O. Svensson, 2003. "What Is Wrong with Taylor Rules? Using Judgment in Monetary Policy through Targeting Rules," Journal of Economic Literature, American Economic Association, vol. 41(2), pages 426-477, June.
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  11. Julio J. Rotemberg & Michael Woodford, 1999. "Interest Rate Rules in an Estimated Sticky Price Model," NBER Chapters, in: Monetary Policy Rules, pages 57-126 National Bureau of Economic Research, Inc. [Downloadable!]
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  12. Norman R. Swanson & Jeffery D. Amato, 2000. "The real-time predictive content of money for output," BIS Working Papers 96, Bank for International Settlements. [Downloadable!]
  13. Brunner, Allan D, 2000. "On the Derivation of Monetary Policy Shocks: Should We Throw the VAR Out with the Bath Water?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(2), pages 254-79, May.
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  15. David Cobham & Christopher Adam, 2005. "Real-time output gaps in the estimation of Taylor rules: A red herring?," Money Macro and Finance (MMF) Research Group Conference 2005 42, Money Macro and Finance Research Group. [Downloadable!]
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  16. Alex Cukierman & Stefan Gerlach, 2003. "The inflation bias revisited: theory and some international evidence," Manchester School, University of Manchester, vol. 71(5), pages 541-565, 09. [Downloadable!] (restricted)
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  17. Garrat, A. & Lee, K. & Pesaran, M.H. & Shin, Y., 2000. "Forecast Uncertainties in Macroeconometric Modelling: An Application to the UK Economy," Cambridge Working Papers in Economics 0004, Faculty of Economics, University of Cambridge. [Downloadable!]
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  18. Carl Walsh, 2003. "Speed Limit Policies: The Output Gap and Optimal Monetary Policy," American Economic Review, American Economic Association, vol. 93(1), pages 265-278, March. [Downloadable!]
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  19. Harvey, Andrew C. & Trimbur, Thomas M. & Van Dijk, Herman K., 2007. "Trends and cycles in economic time series: A Bayesian approach," Journal of Econometrics, Elsevier, vol. 140(2), pages 618-649, October. [Downloadable!] (restricted)
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  20. Svensson, Lars E. O., 2002. "Inflation targeting: Should it be modeled as an instrument rule or a targeting rule?," European Economic Review, Elsevier, vol. 46(4-5), pages 771-780, May. [Downloadable!] (restricted)
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Full references

Cited by:
(explanations, 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.)

  1. Antonio Ciccone & Marek Jarocinski, 2008. "Determinants of economic growth - will data tell?," Working Paper Series 852, European Central Bank. [Downloadable!]
    Other versions:
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