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Trend-Cycle Correlation, Drift Break and the Estimation of Trend and Cycle in Canadian GDP

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  • Arabinda Basistha

    (West Virginia University)

Abstract

This paper argues, using Monte Carlo experiments, that bivariate correlated unobserved components (UC) framework delivers more accurate estimation results for trend and cycle parameters than the univariate framework. The paper estimates stochastic trend and cyclical fluctuations in Canada from a bivariate, correlated UC model with drift breaks. In contrast to the univariate results, bivariate estimation shows a fairly volatile stochastic trend after accounting for the drift break along with a negative trend-cycle shock correlation. The estimated cyclical component is moderately large, persistent and consistent with ECRI denoted Canadian recessions.

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File URL: http://www.be.wvu.edu/phd_economics/pdf/05-07.pdf
File Function: First version, 2005
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Bibliographic Info

Paper provided by Department of Economics, West Virginia University in its series Working Papers with number 05-07 Classification- JEL: E31, E32, E50.

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Length: 25 pages
Date of creation: 2005
Date of revision:
Handle: RePEc:wvu:wpaper:05-07

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Web page: http://www.be.wvu.edu/phd_economics/
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Keywords: Stochastic trend; Inflation; GDP; Unobserved components model.;

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References

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  1. Perron, P. & Bai, J., 1995. "Estimating and Testing Linear Models with Multiple Structural Changes," Cahiers de recherche 9552, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  2. St-Amant, P. & van Norden, S., 1997. "Measurement of the Output Gap: A Discussion of Recent Research at the Bank of Canada," Technical Reports 79, Bank of Canada.
  3. Apel, Mikael & Jansson, Per, 1998. "A Theory-Consistent System Approach for Estimating Potential Output and the NAIRU," Working Paper Series 74, Sveriges Riksbank (Central Bank of Sweden).
  4. Watson, Mark W., 1986. "Univariate detrending methods with stochastic trends," Journal of Monetary Economics, Elsevier, vol. 18(1), pages 49-75, July.
  5. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
  6. Kuttner, Kenneth N, 1994. "Estimating Potential Output as a Latent Variable," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 361-68, July.
  7. Frédérick Demers, 2003. "The Canadian Phillips Curve and Regime Shifting," Working Papers 03-32, Bank of Canada.
  8. Beveridge, Stephen & Nelson, Charles R., 1981. "A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the `business cycle'," Journal of Monetary Economics, Elsevier, vol. 7(2), pages 151-174.
  9. Donald W.K. Andrews & Werner Ploberger, 1992. "Optimal Tests When a Nuisance Parameter Is Present Only Under the Alternative," Cowles Foundation Discussion Papers 1015, Cowles Foundation for Research in Economics, Yale University.
  10. 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.
  11. 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.
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Cited by:
  1. Tara Sinclair & Yeuqing Jia, 2010. "Permanent and Transitory Macroeconomic Relationships between China and the Developed World," Working Papers 2010-08, The George Washington University, Institute for International Economic Policy.
  2. T. Berger, 2008. "Estimating Europe’s Natural Rates from a forward-looking Phillips curve," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/498, Ghent University, Faculty of Economics and Business Administration.
  3. Berger, Tino & Kempa, Bernd, 2014. "Time-varying equilibrium rates in small open economies: Evidence for Canada," Journal of Macroeconomics, Elsevier, vol. 39(PA), pages 203-214.
  4. Tino Berger, 2011. "Estimating Europe’s natural rates," Empirical Economics, Springer, vol. 40(2), pages 521-536, April.
  5. Sinchan Mitra & Tara M. Sinclair, . "Output Fluctuations in the G-7: An Unobserved Components Approach," MRG Discussion Paper Series 2509, School of Economics, University of Queensland, Australia.
  6. Daisuke Nagakura, 2011. "How Are Shocks to Trend and Cycle Correlated? A Simple Methodology for Unidentified Unobserved Components Models," Global COE Hi-Stat Discussion Paper Series gd10-172, Institute of Economic Research, Hitotsubashi University.
  7. James Morley & Irina B. Panovska & Tara M. Sinclair, 2013. "Testing Stationarity for Unobserved Components Models," Discussion Papers 2012-41A, School of Economics, The University of New South Wales.
  8. T. Berger & B. Kempa, 2010. "Taylor rules and the Canadian-US equilibrium exchange rate," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 10/643, Ghent University, Faculty of Economics and Business Administration.
  9. Soloschenko, Max & Weber, Enzo, 2012. "Trend-Cycle Interactions and the Subprime Crisis: Analysis of US and Canadian Output," University of Regensburg Working Papers in Business, Economics and Management Information Systems 470, University of Regensburg, Department of Economics.
  10. Berger, Tino & Kempa, Bernd, 2011. "Bayesian estimation of the output gap for a small open economy: The case of Canada," Economics Letters, Elsevier, vol. 112(1), pages 107-112, July.

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