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How Much is the Euro Area Common Cycle Affected by the UK?

Published online by Cambridge University Press:  26 March 2020

Julien Garnier
Julien Garnier*
Affiliation:
French Ministry of Economy and Finance
*
E-mail [email protected] or [email protected]
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Abstract

To what extent is the Euro Area common business cycle affected by the inclusion of the UK into this group? To answer this question, a semi-structural model estimated by the Kalman filter, which is robust to outliers and structural breaks, is used. We look at the correlations between business cycles taking potential phase shifts into account. On the one hand, a finding — coherent with existing literature — is that adding the UK to the euro group lowers correlations within the group. On the other hand, the UK cycle is increasingly linked to the Euro Area business cycle and has statistical properties that do not differ substantially from the Euro Area cycles.

Keywords

Common business cyclesoptimal currency areasKalman filterE32F02F42
Type
Articles
Information
National Institute Economic Review , Volume 208: Ten Years of EMU , April 2009 , pp. 109 - 117
Copyright
Copyright © 2009 National Institute of Economic and Social Research

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Footnotes

∗

The views expressed in this paper are those of the author only and do not necessarily reflect the opinions of the DGTPE at the French Ministry of Economy and Finance. This paper was started while I was at the EUI, Florence, and during an internship at the CEPII. I am particularly grateful to Mike Artis, Paolo Zanghieri, Lionel Fontagné and Agnès Bénassy-Quéré for their support and comments. Any error is mine.

References

Artis, M.J. (2003), ‘Analysis of European and UK business cycles and shocks’, HM Treasury, available at www.hmtreasury.gov.uk.Google Scholar
Artis, M.J., Kontolemis, Z.G. and Osborn, D.R. (1997), ‘Business cycles for G7 and European countries’, Journal of Business, 70(2), pp. 249–79.Google Scholar
Artis, M.J. and Zhang, W. (1997), ‘International business cycles and the ERM: is there a European business cycle?’, International Journal of Finance and Economics, 2, pp. 1–16.3.0.CO;2-7>CrossRefGoogle Scholar
-(1999), ‘Further evidence on international business cycle and the ERM: is there a European business cycle?’, Oxford Economic Papers, 51, pp. 120–32.Google Scholar
Azevedo, J.E., Koopman, S.J. and Rua, A. (2003), ‘Tracking growth and the business cycle: a stochastic common cycle model for the Euro Area’, Tinbergen Institute Discussion Papers, No 03-069/4.Google Scholar
Barrell, R. and Weale, M. (2003), ‘Designing and choosing macroeconomic frameworks: the position of the UK after four years of the euro’, Oxford Review of Economic Policy, 19(1), pp. 132–48.CrossRefGoogle Scholar
Forni, M., Halli, M., Lippi, M. and Reichlin, L. (2000), ‘The generalized dynamic-factor model: Identification and estimation’, The Review of Economics and Statistics, 82 (2), pp. 540–54.Google Scholar
Hall, S.G. and Yhap, B. (2003), ‘Measuring the correlation of shocks between UK and the core of Europe’, National Institute Discussion Papers, no.213, April.Google Scholar
Harvey, A.C. (1989), Forecasting, Structural Time Series and the Kalman Filter, Cambridge, Cambridge University Press.Google Scholar
Harvey, A.C. and Jaeger, A. (1993), ‘Detrending, stylized facts and the business cycle’, Journal of Applied Econometrics, 8, pp. 231- 47.CrossRefGoogle Scholar
Harvey, A.C. and Trimbur, T. (2003), ‘Generalised model-based filters for extracting trends and cycles in economic time series’, Review of Economics and Statistics, 85, pp. 244–55.CrossRefGoogle Scholar
de Jong, P. and Penzer, J. (1998), ‘Diagnosing shocks in time series’, Journal of the American Statistical Association, 93, pp. 796–806.CrossRefGoogle Scholar
Koopman, S.J., Shephard, N. and Doornik, J.A. (1999), ‘Statistical algorithms for models in state space using SsfPack 2.2’, Econometrics Journal, vol. 2, pp. 113–66, also available at www.ssfpack.CrossRefGoogle Scholar
Kose, M.A., Otrok, C. and Whiteman, C.H. (2003), ‘International business cycles: world, region and country-specific factors’, American Economic Review, 93, September, pp. 1216–39.CrossRefGoogle Scholar
Massmann, M. and Mitchell, J. (2002), ‘Have UK and Eurozone business cycles become more correlated?’, National Institute Economic Review, 182, Oct.CrossRefGoogle Scholar
Maravall, A. (1995), ‘Unobserved components in economic time series’, in Pesaran, M.H. and Wickens, M.R. (eds), Handbook of Applied Econometrics. Volume 1. Macroeconomics. Handbooks in Economics, Blackwell, Oxford and Malden, pp. 12–72.Google Scholar
Rünstler, G. (2004), ‘Modelling phase shifts among stochastic cycles’, The Econometrics Journal, 7(1), pp. 232–48.CrossRefGoogle Scholar