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The business cycle of European countries. Bayesian clustering of country-individual IP growth series

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Abstract

In the present paper, time series on industrial production growth of individual countries are used to investigate the following questions: (i) Is there a common growth cycle for the euro area countries? (ii) Did the synchronization change over time? (iii) Can we discriminate between a "European" and an "overseas" cycle? (iv) Which countries follow the "overseas" rather than the "European" cycle? To obtain the inference, I use an autoregressive panel data framework whereby the groups of co-moving countries are estimated adaptively along with the model parameters using Bayesian simulation methods. JEL classification: C15, C33, E32

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Bibliographic Info

Paper provided by Oesterreichische Nationalbank (Austrian Central Bank) in its series Working Papers with number 83.

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Length: 37 pages
Date of creation: 14 Jul 2003
Date of revision:
Handle: RePEc:onb:oenbwp:83

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Postal: Oesterreichische Nationalbank, Economic Studies Division, c/o Beate Hofbauer-Berlakovich, POB 61, A-1011 Vienna, Austria
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Keywords: Business cycle; Bayesian clustering; Markov switching; Markov chain Monte Carlo; panel data.;

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References

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  1. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
  2. Artis, Michael J & Zhang, W, 1997. "International Business Cycles and the ERM: Is There a European Business Cycle?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 2(1), pages 1-16, January.
  3. Mike Artis & Hans-Martin Krolzig & Juan Toro, 2002. "The European Business Cycle," Economic Working Papers at Centro de Estudios Andaluces E2002/19, Centro de Estudios Andaluces.
  4. Hoogstrate, Andre J & Palm, Franz C & Pfann, Gerard A, 2000. "Pooling in Dynamic Panel-Data Models: An Application to Forecasting GDP Growth Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(3), pages 274-83, July.
  5. Sylvia Kaufmann, 2001. "Is There an Asymmetric Effect of Monetary Policy over Time? A Bayesian Analysis," Working Papers 45, Oesterreichische Nationalbank (Austrian Central Bank).
  6. Mario Forno & Marco Lippi & Lucrezia Reichlin & Filippo Altissimo & Antonio Bassanetti, 2003. "Eurocoin: A Real Time Coincident Indicator Of The Euro Area Business Cycle," Computing in Economics and Finance 2003 242, Society for Computational Economics.
  7. Mario Forni & Lucrezia Reichlin, 2001. "Federal policies and local economies: Europe and the U.S," ULB Institutional Repository 2013/10141, ULB -- Universite Libre de Bruxelles.
  8. Chib, Siddhartha, 1996. "Calculating posterior distributions and modal estimates in Markov mixture models," Journal of Econometrics, Elsevier, vol. 75(1), pages 79-97, November.
  9. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March.
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Cited by:
  1. Zsolt Darvas & György Szapáry, 2008. "Business Cycle Synchronization in the Enlarged EU," Open Economies Review, Springer, vol. 19(1), pages 1-19, February.

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