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Eurocoin: A Real Time Coincident Indicator Of The Euro Area Business Cycle

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  • Mario Forno
  • Marco Lippi
  • Lucrezia Reichlin
  • Filippo Altissimo
  • Antonio Bassanetti

Abstract

This Paper is the result of the Bank of Italy-CEPR project to construct a monthly coincident indicator of the business cycle of the euro area. The index is estimated on the basis of a harmonized data set of monthly statistics of the euro area (951 series) which we constructed from a variety of sources. We use the information of this large panel to obtain an indicator which has three characteristics: (i) it provides real time information on monthly coincident activity since it is updated as new information become available in a non-synchronous way; (ii) it is cleaned from noise originated from measurement error and idiosyncratic national and sectoral dynamics; (iii) it is cleaned from seasonal and short-run dynamics through a filter that requires very little revision at the end of the sample. Unlike other methods used in the literature, the procedure takes into consideration the cross-country as well as the within-country correlation structure and exploits all information on dynamic cross-correlations. As a by product of our analysis, we provide a characterization of the commonality and dynamic relations of the series in the data set with respect to the coincident indicator and a dating of the euro area cycle.

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Bibliographic Info

Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2003 with number 242.

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Date of creation: 01 Aug 2003
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Handle: RePEc:sce:scecf3:242

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Keywords: Business cycle indicator; Factor models;

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References

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  1. James H. Stock & Mark W. Watson, 1989. "New Indexes of Coincident and Leading Economic Indicators," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 351-409 National Bureau of Economic Research, Inc.
  2. 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.
  3. Forni, Mario & Lippi, Marco, 2000. "The Generalized Dynamic Factor Model: Representation Theory," CEPR Discussion Papers 2509, C.E.P.R. Discussion Papers.
  4. 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, 05.
  5. Victor Gómez & Agustín Maravall, 1996. "Programs TRAMO and SEATS, Instruction for User (Beta Version: september 1996)," Banco de Espa�a Working Papers 9628, Banco de Espa�a.
  6. Marianne Baxter & Robert G. King, 1995. "Measuring Business Cycles Approximate Band-Pass Filters for Economic Time Series," NBER Working Papers 5022, National Bureau of Economic Research, Inc.
  7. Artis, M. & Krolzig, H.-M. & Toro, J., 1999. "The European Business Cycle," Economics Working Papers eco99/24, European University Institute.
  8. Yin-Wong Cheung & Frank Westermann, 1999. "Output Dynamics of the G7 Countries - Stochastic Trends and Cyclical Movements," CESifo Working Paper Series 220, CESifo Group Munich.
  9. Victor Gómez & Agustín Maravall, 1996. "Programs TRAMO and SEATS, Instruction for User (Beta Version: september 1996)," Banco de Espa�a Working Papers 9628, Banco de Espa�a.
  10. Forni, Mario & Reichlin, Lucrezia, 2001. "Federal policies and local economies: Europe and the US," European Economic Review, Elsevier, vol. 45(1), pages 109-134, January.
  11. Filippo Altissimo & Antonio Bassanetti & Riccardo Cristadoro & Lucrezia Reichlin & Giovanni Veronese, 2001. "The construction of coincident and leading indicators for the euro area business cycler of the euro area business cycle," Temi di discussione (Economic working papers) 434, Bank of Italy, Economic Research and International Relations Area.
  12. Forni, Mario, et al, 2001. "Coincident and Leading Indicators for the Euro Area," Economic Journal, Royal Economic Society, vol. 111(471), pages C62-85, May.
  13. Andrew Dickerson & Heather Gibson & Euclid Tsakalotos, 1998. "Business Cycle Correspondence in the European Union," Empirica, Springer, vol. 25(1), pages 49-75, January.
  14. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2003. "The Generalized Dynamic Factor Model. One-Sided Estimation and Forecasting," LEM Papers Series 2003/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  15. Robin L. Lumsdaine & Eswar Prasad, 1999. "Identifying the Common Component in International Economic Fluctuations," IMF Working Papers 99/154, International Monetary Fund.
  16. James H. Stock & Mark W. Watson, 1998. "Diffusion Indexes," NBER Working Papers 6702, National Bureau of Economic Research, Inc.
  17. Thomas J. Sargent & Christopher A. Sims, 1977. "Business cycle modeling without pretending to have too much a priori economic theory," Working Papers 55, Federal Reserve Bank of Minneapolis.
  18. Marcellino, Massimiliano & Stock, James H. & Watson, Mark W., 2003. "Macroeconomic forecasting in the Euro area: Country specific versus area-wide information," European Economic Review, Elsevier, vol. 47(1), pages 1-18, February.
  19. Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 1999. "The Generalized Dynamic Factor Model: Identification and Estimation," CEPR Discussion Papers 2338, C.E.P.R. Discussion Papers.
  20. Zarnowitz, Victor, 1992. "Business Cycles," National Bureau of Economic Research Books, University of Chicago Press, number 9780226978901, April.
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