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Measuring co-movements in the Euro area using a nonstationary factor model

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  • C. Bruneau
  • O. de Bandt
  • A. Flageollet

Abstract

This article investigates to what extent business cycles co-move in the four largest euro area economies, using a large-scale database of nonstationary series for the euro area over the 1980:Q1 to 2003:Q4 period. We apply the methodology proposed by Bai (2004) and Bai and Ng (2004) to construct a coincident indicator of the euro area business cycle, based on the first common factor estimated from a dynamic factor analysis on the level of the variables. The indicator appears to be significantly close, from a statistical point of view, to the level of the euro area GDP in the most recent period. We also show that national developments are increasingly correlated to the indicator at the business cycle frequencies. We finally suggest a decomposition of GDP growth along the different stationary and nonstationary factors.

Suggested Citation

  • C. Bruneau & O. de Bandt & A. Flageollet, 2008. "Measuring co-movements in the Euro area using a nonstationary factor model," Applied Economics Letters, Taylor & Francis Journals, vol. 15(10), pages 781-785.
  • Handle: RePEc:taf:apeclt:v:15:y:2008:i:10:p:781-785
    DOI: 10.1080/13504850600749099
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    References listed on IDEAS

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    1. Lawrence J. Christiano & Terry J. Fitzgerald, 2003. "The Band Pass Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 435-465, May.
    2. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    3. Harding, Don & Pagan, Adrian, 2002. "Dissecting the cycle: a methodological investigation," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 365-381, March.
    4. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
    5. Bai, Jushan, 2004. "Estimating cross-section common stochastic trends in nonstationary panel data," Journal of Econometrics, Elsevier, vol. 122(1), pages 137-183, September.
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