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Concordance in business cycles

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We study the properties of a test of that determines whether two time series co-move. The test computes a simple non-parametric statistic for `concordance,' which describes the proportion of time that the cycles of two series spend in the same phase. We establish the size and power properties of this test. As an illustration, the procedures are applied to output series from selected major industrial countries. We find limited evidence of widespread concordance for these countries.

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  • C John McDermott & Alasdair Scott, 1999. "Concordance in business cycles," Reserve Bank of New Zealand Discussion Paper Series G99/7, Reserve Bank of New Zealand.
  • Handle: RePEc:nzb:nzbdps:1999/07
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    Cited by:

    1. Paul Cashin & C John McDermott & Alasdair Scott, 1999. "The myth of co-moving commodity prices," Reserve Bank of New Zealand Discussion Paper Series G99/9, Reserve Bank of New Zealand.
    2. Peter McAdam, 2007. "USA, Japan and the Euro Area: Comparing Business-Cycle Features," International Review of Applied Economics, Taylor & Francis Journals, vol. 21(1), pages 135-156.
    3. Bojeşteanu, Elena & Manu, Ana Simona, 2011. "Analiza empirică a sincronizării ciclului de afaceri şi a similarităţii şocurilor între România şi zona euro [Empirical analysis of business cycle synchronization and shock similarity between Roman," MPRA Paper 31295, University Library of Munich, Germany.
    4. Cashin, Paul & McDermott, C. John & Scott, Alasdair, 2002. "Booms and slumps in world commodity prices," Journal of Development Economics, Elsevier, vol. 69(1), pages 277-296, October.
    5. Bhar, Ramaprasad & Hamori, Shigeyuki, 2007. "Co-movement in the price of risk of aggregate equity markets," Economic Systems, Elsevier, vol. 31(3), pages 256-271, September.
    6. Adriana Fernandez & Evan F. Koenig & Alex Nikolsko-Rzhevskyy, 2011. "A real-time historical database for the OECD," Globalization Institute Working Papers 96, Federal Reserve Bank of Dallas.
    7. Avouyi-Dovi, S. & Guégan, D. & Ladoucette, S., 2002. "What is the Best Approach to Measure the Interdependence between Different Markets?," Working papers 95, Banque de France.
    8. Lefteris Tsoulfidis & Theologos Dergiades, 2007. "Estimating Capacity Utilization Using a SVAR Model: An Application to the US and Canadian Economies," Economics Bulletin, AccessEcon, vol. 5(4), pages 1-12.
    9. Gonzalo Llosa & Shirley Miller, 2004. "Using Additional Information in Estimating the Output Gap in Peru: a Multivariate Unobserved Component Approach," Money Affairs, Centro de Estudios Monetarios Latinoamericanos, CEMLA, vol. 0(1), pages 57-82, January-J.
    10. Bermingham, Colin, 2010. "A critical assessment of existing estimates of US core inflation," Journal of Macroeconomics, Elsevier, vol. 32(4), pages 993-1007, December.
    11. Hilde Bjørnland & Leif Brubakk & Anne Jore, 2008. "Forecasting inflation with an uncertain output gap," Empirical Economics, Springer, vol. 35(3), pages 413-436, November.
    12. Iris Claus & Grant Scobie, 2001. "Household Net Wealth: An International Comparison," Treasury Working Paper Series 01/19, New Zealand Treasury.
    13. Märten Kress, 2004. "Lending cycles in Estonia," Bank of Estonia Working Papers 2004-3, Bank of Estonia, revised 10 Oct 2004.
    14. Alasdair Scott, 2000. "Stylised facts from output gap measures," Reserve Bank of New Zealand Discussion Paper Series DP2000/07, Reserve Bank of New Zealand.
    15. Sharon McCaw & C John McDermott, 2000. "How New Zealand adjusts to macroeconomic shocks: implications for joining a currency area," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 63, March.
    16. Vincent, BODART & Konstantin A., KHOLODILIN & Fati, SHADMAN-MEHTA, 2003. "Dating and Forecasting the Belgian Business Cycle," LIDAM Discussion Papers IRES 2003018, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    17. Ramaprasad Bhar & Shigeyuki Hamori, 2006. "Empirical investigation on the relationship between Japanese and Asian emerging equity markets," Applied Financial Economics Letters, Taylor and Francis Journals, vol. 2(2), pages 77-86, March.

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    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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