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On detrending and cyclical asymmetry

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  • Zacharias Psaradakis

    (School of Economics, Mathematics and Statistics, Birkbeck College, 7-15 Gresse Street, London W1T 1LL, UK)

  • Martin Sola

Abstract

This paper considers the issue of testing for symmetry of the business cycle. It is demonstrated that findings of symmetry should be interpreted with caution since tests tend to have low power to detect asymmetries when applied to data that have been filtered to isolate their stationary business-cycle component. This implies that asymmetries are likely to be detected in practice only when they are particularly prominent. An empirical application examines the properties of the cyclical component of real GDP for the G7 countries. Copyright © 2002 John Wiley & Sons, Ltd.

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File URL: http://hdl.handle.net/10.1002/jae.681
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File URL: http://qed.econ.queensu.ca:80/jae/2003-v18.3/
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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 18 (2003)
Issue (Month): 3 ()
Pages: 271-289

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Handle: RePEc:jae:japmet:v:18:y:2003:i:3:p:271-289

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Citations

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Cited by:
  1. Knüppel, Malte, 2004. "Testing for business cycle asymmetries based on autoregressions with a Markov-switching intercept," Discussion Paper Series 1: Economic Studies 2004,41, Deutsche Bundesbank, Research Centre.
  2. Cook, S., 2004. "On the Detection of Business Cycles Asymmetry in 22 Countries, 1870-1994," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 4(1).
  3. Narayan, Paresh Kumar & Popp, Stephan, 2009. "Can the electricity market be characterised by asymmetric behaviour?," Energy Policy, Elsevier, vol. 37(11), pages 4364-4372, November.
  4. Coakley, Jerry & Fuertes, Ana-Maria, 2006. "Testing for sign and amplitude asymmetries using threshold autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 30(4), pages 623-654, April.
  5. Engel, J. & Haugh, D. & Pagan, A., 2005. "Some methods for assessing the need for non-linear models in business cycle analysis," International Journal of Forecasting, Elsevier, vol. 21(4), pages 651-662.
  6. Steven Cook & Alan Speight, 2005. "A deeper look at asymmetries in UK consumers' expenditure: the nonparametric analysis of 100 disaggregates," Applied Economics, Taylor and Francis Journals, vol. 37(8), pages 893-900.
  7. A. Pagan & J. Engel & D. Haugh, 2004. "Some Methods for Assessing the Need for Non-linear Models in Business Cycle Analysis and Forecasting," Econometric Society 2004 Australasian Meetings 284, Econometric Society.
  8. Dagum, Estela Bee & Giannerini, Simone, 2006. "A critical investigation on detrending procedures for non-linear processes," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 175-191, March.
  9. David E. Giles & Chad N. Stroomer, 2004. "Identifying the Cycle of a Macroeconomic Time-Series Using Fuzzy Filtering," Econometrics Working Papers 0406, Department of Economics, University of Victoria.
  10. Steven Cook & Alan Speight, 2006. "Time deformation in UK consumers' expenditure: an empirical analysis of highly disaggregated data," Applied Economics Letters, Taylor and Francis Journals, vol. 13(8), pages 471-478.

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