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Real Time Representations of the Output Gap

  • Anthony Garratt

    (Department of Economics, Mathematics & Statistics, Birkbeck)

  • Kevin Lee
  • Emi Mise
  • Kalvinder Shields

Methods are described for the appropriate use of data obtained and analysed in real time to represent the output gap. The methods employ cointegrating VAR techniques to model real time measures and realisations of output series jointly. The model is used to mitigate the impact of data revisions; to generate appropriate forecasts that can deliver economically-meaningful output trends and that can take into account the end-of-sample problems associated with the use of the Hodrick-Prescott filter in measuring these trends; and to calculate probability forecasts that convey in a clear way the uncertainties associated with the gap measures. The methods are applied to data for the US 1965q4-2004q4 and the improvements over standard methods are illustrated.

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File URL: http://www.bbk.ac.uk/ems/research/wp/PDF/BWPEF0619.pdf
File Function: First version, 2006
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Paper provided by Birkbeck, Department of Economics, Mathematics & Statistics in its series Birkbeck Working Papers in Economics and Finance with number 0619.

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Date of creation: Dec 2006
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Handle: RePEc:bbk:bbkefp:0619
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  2. 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.
  3. Athanasios Orphanides & Simon van Norden, 2003. "The Reliability of Inflation Forecasts Based on Output Gap Estimates in Real Time," CIRANO Working Papers 2003s-01, CIRANO.
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  17. Robert J. Hodrick & Edward Prescott, 1981. "Post-War U.S. Business Cycles: An Empirical Investigation," Discussion Papers 451, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  18. 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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