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Comparative Economic Cycles

  • Iolanda Lo Cascio

    (Queen Mary, University of London)

  • Stephen Pollock

    (Queen Mary, University of London)

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    The income cycles that have been experienced by six OECD countries over the past 24 years are analysed. The amplitude of the cycles relative to the level of aggregate income varies amongst the countries, as does the degree of the damping that affects the cycles. The study aims to reveal both of these characteristics. It also seeks to determine whether there exists a clear relationship between the degree of damping and the length of the cycles. In order to estimate the parameters of the cycles, the data have been subjected to the processes of detrending, anti-alias filtering and subsampling.

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    File URL: http://www.econ.qmul.ac.uk/papers/doc/wp599.pdf
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    Paper provided by Queen Mary University of London, School of Economics and Finance in its series Working Papers with number 599.

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    Date of creation: May 2007
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    Handle: RePEc:qmw:qmwecw:wp599
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    Web page: http://www.econ.qmul.ac.uk

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    1. Marianne Baxter & Robert G. King, 1995. "Measuring Business Cycles Approximate Band-Pass Filters for Economic Time Series," NBER Working Papers 5022, National Bureau of Economic Research, Inc.
    2. Stephen Pollock, 2000. "Filters for Short Nonstationary Sequences," Working Papers 423, Queen Mary University of London, School of Economics and Finance.
    3. Elena Andreou & Aris Spanos, 2003. "Statistical Adequacy and the Testing of Trend Versus Difference Stationarity," Econometric Reviews, Taylor & Francis Journals, vol. 22(3), pages 217-237, January.
    4. J. M. Marriott & J. C. Naylor & A. R. Tremayne, 2003. "Exploring economic time series: a Bayesian graphical approach," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 124-145, 06.
    5. King, R.G. & Rebelo, S.T., 1989. "Low Frequency Filtering And Real Business Cycles," RCER Working Papers 205, University of Rochester - Center for Economic Research (RCER).
    6. Pollock, D.S.G., 2000. "Filters for Short Nonstationary Sequences," G.R.E.Q.A.M. 00a04, Universite Aix-Marseille III.
    7. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    8. João Valle e Azevedo, 2002. "Business Cycles: Cyclical Comovement Within the European Union in the Period 1960-1999. A Frequency Domain Approach," Working Papers w200205, Banco de Portugal, Economics and Research Department.
    9. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1, August.
    10. Nelson, Charles R & Kang, Heejoon, 1979. "Spurious Periodicity in Inappropriately Detrended Time Series," The Warwick Economics Research Paper Series (TWERPS) 161, University of Warwick, Department of Economics.
    11. Michael Artis & Massimiliano Marcellino & Tommaso Proietti, 2004. "Dating Business Cycles: A Methodological Contribution with an Application to the Euro Area," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(4), pages 537-565, 09.
    12. Pollock, D. S. G., 2000. "Trend estimation and de-trending via rational square-wave filters," Journal of Econometrics, Elsevier, vol. 99(2), pages 317-334, December.
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