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Dating the Business Cycle in Britain

Listed author(s):
  • Michael Artis

    (EUI, Florence, University of Manchester and CEPR)

The NIESR’s monthly GDP series is an innovative feature; most GDP estimates are published at an annual, or quarterly frequency at best. For purposes of dating the business cycle the availability of this series is an asset, unexploited until this paper. The paper applies a version of the standard business (or ‘classical’) cycle dating algorithm to the data, after light smoothing to remove outliers. Three classical cycles are detected in the period between the early 1970s and 2002, with turning points which are close to (but usually precede) classical cycle dating which does not benefit from the availability of monthly GDP, and instead relies on a ‘coincident’ indicator methodology. In addition the turning points of a deviation cycle are identified.

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File URL: http://ner.sagepub.com/content/182/1/90.abstract
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Article provided by National Institute of Economic and Social Research in its journal National Institute Economic Review.

Volume (Year): 182 (2002)
Issue (Month): 1 (October)
Pages: 90-95

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Handle: RePEc:sae:niesru:v:182:y:2002:i:1:p:90-95
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  1. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
  2. Michael ARTIS & Massimiliano MARCELLINO & Tommaso PROIETTI, 2002. "Dating the Euro Area Business Cycle," Economics Working Papers ECO2002/24, European University Institute.
  3. Canova, Fabio, 1998. "Detrending and business cycle facts," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 475-512, May.
  4. Hans-Martin Krolzig & Juan Toro, 2004. "Classical and modern business cycle measurement: The European case," Spanish Economic Review, Springer;Spanish Economic Association, vol. 7(1), pages 1-21, January.
  5. Artis, Michael J & Kontolemis, Zenon G & Osborn, Denise R, 1997. "Business Cycles for G7 and European Countries," The Journal of Business, University of Chicago Press, vol. 70(2), pages 249-279, April.
  6. Uhlig, H.F.H.V.S. & Ravn, M., 1997. "On Adjusting the H-P Filter for the Frequency of Observations," Discussion Paper 1997-50, Tilburg University, Center for Economic Research.
  7. Litterman, Robert B, 1983. "A Random Walk, Markov Model for the Distribution of Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 169-173, April.
  8. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
  9. Regina Kaiser & Agustín Maravall, 1999. "Estimation of the business cycle: A modified Hodrick-Prescott filter," Spanish Economic Review, Springer;Spanish Economic Association, vol. 1(2), pages 175-206.
  10. Litterman, Robert B, 1983. "A Random Walk, Markov Model for the Distribution of Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 169-173, April.
  11. Osborn, Denise R, 1995. "Moving Average Detrending and the Analysis of Business Cycles," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 57(4), pages 547-558, November.
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