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Un indicateur probabiliste du cycle d’accélération pour l’économie française

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  • Marie Adanero-Donderis
  • Olivier Darné
  • Laurent Ferrara

Abstract

[eng] We describe a new coincident probabilistic cyclical indicator developed by the Banque de France in order to detect, on a monthly basis, the turning points in the French economy’s acceleration cycle. The indicator is based on the methodology of Markov-switching models and uses the Bank’s monthly business survey as input. A pseudo-real-time validation since 1998 shows the indicator’s usefulness in short-term economic analysis. This type of indicator provides original qualitative information that complements standard quantitative tools for estimating GDP growth. [fre] Cet article présente un indicateur probabiliste du cycle d’accélération (IPCA) développé par la Banque de France, afin de détecter, sur un rythme mensuel, les points de retournement du cycle d’accélération de l’activité économique française. Cet indicateur est construit à partir d’un modèle à changements de régime markoviens et utilise comme information les enquêtes mensuelles dans l’industrie publiées par la Banque de France. Une validation en quasi temps réel depuis 1998 de cet indicateur souligne son utilité pour le diagnostic conjoncturel. Cet indicateur fournit une information qualitative supplémentaire par rapport aux traditionnels outils quantitatifs d’estimation du taux de croissance du PIB.

Suggested Citation

  • Marie Adanero-Donderis & Olivier Darné & Laurent Ferrara, 2009. "Un indicateur probabiliste du cycle d’accélération pour l’économie française," Économie et Prévision, Programme National Persée, vol. 189(3), pages 95-114.
  • Handle: RePEc:prs:ecoprv:ecop_0249-4744_2009_num_189_3_7927
    Note: DOI:10.3406/ecop.2009.7927
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    References listed on IDEAS

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    1. Roberto S. Mariano & Yasutomo Murasawa, 2003. "A new coincident index of business cycles based on monthly and quarterly series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(4), pages 427-443.
    2. Stéphane Gregoir & Fabrice Lenglart, 1998. "Un nouvel indicateur pour saisir les retournements de conjoncture," Économie et Statistique, Programme National Persée, vol. 314(1), pages 39-60.
    3. Matthieu Cornec & Thierry Deperraz, 2006. "Un nouvel indicateur synthétique mensuel résumant le climat des affaires dans les services en France," Économie et Statistique, Programme National Persée, vol. 395(1), pages 13-38.
    4. Potter, Simon M, 1995. "A Nonlinear Approach to US GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 109-125, April-Jun.
    5. Hélène Baron & Guillaume Baron, 2002. "Un indicateur probabiliste de retournement conjoncturel dans la zone euro," Économie et Statistique, Programme National Persée, vol. 359(1), pages 101-121.
    6. Benoit Bellone, 2004. "Une lecture probabiliste du cycle d’affaires américain," Econometrics 0407002, University Library of Munich, Germany, revised 28 Mar 2005.
    7. Zarnowitz, Victor & Ozyildirim, Ataman, 2006. "Time series decomposition and measurement of business cycles, trends and growth cycles," Journal of Monetary Economics, Elsevier, vol. 53(7), pages 1717-1739, October.
    8. Hans-Martin Krolzig & Juan Toro, 2004. "Classical and modern business cycle measurement: The European case," Spanish Economic Review, Springer;Spanish Economic Association, vol. 7(1), pages 1-21, January.
    9. Layton, Allan P. & Smith, Daniel R., 2007. "Business cycle dynamics with duration dependence and leading indicators," Journal of Macroeconomics, Elsevier, vol. 29(4), pages 855-875, December.
    10. Sichel, Daniel E, 1994. "Inventories and the Three Phases of the Business Cycle," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 269-277, July.
    11. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1, December.
    12. Banerji, Anirvan & Hiris, Lorene, 2001. "A framework for measuring international business cycles," International Journal of Forecasting, Elsevier, vol. 17(3), pages 333-348.
    13. Hans-Martin Krolzig, 2001. "Markov-Switching Procedures for Dating the Euro-Zone Business Cycle," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 70(3), pages 339-351.
    14. Barhoumi, K. & Brunhes-Lesage, V. & Darné, O. & Ferrara, L. & Pluyaud, B. & Rouvreau, B., 2008. "Monthly forecasting of French GDP: A revised version of the OPTIM model," Working papers 222, Banque de France.
    15. Gerhard Bry & Charlotte Boschan, 1971. "Foreword to "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs"," NBER Chapters,in: Cyclical Analysis of Time Series: Selected Procedures and Computer Programs, pages -1 National Bureau of Economic Research, Inc.
    16. 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 357-384, March.
    17. Filardo, Andrew J, 1994. "Business-Cycle Phases and Their Transitional Dynamics," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 299-308, July.
    18. Pierre-Emmanuel Ferraton, 2006. "Les indicateurs de retournement : des compléments utiles à l’analyse conjoncturelle," Économie et Prévision, Programme National Persée, vol. 172(1), pages 125-131.
    19. Durland, J Michael & McCurdy, Thomas H, 1994. "Duration-Dependent Transitions in a Markov Model of U.S. GNP Growth," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 279-288, July.
    20. Sébastien Le Coent & Erwan Gautier & Benoît Bellone, 2006. "Les marchés financiers anticipent-ils les retournements conjoncturels ?," Économie et Prévision, Programme National Persée, vol. 172(1), pages 83-99.
    21. Harding, Don & Pagan, Adrian, 2006. "Synchronization of cycles," Journal of Econometrics, Elsevier, vol. 132(1), pages 59-79, May.
    22. Marcelle Chauvet & Jeremy M. Piger, 2003. "Identifying business cycle turning points in real time," Review, Federal Reserve Bank of St. Louis, issue Mar, pages 47-61.
    23. Monica Billio & Jacques Anas & Laurent Ferrara & Marco Lo Duca, 2007. "A turning point chronology for the Euro-zone," Working Papers 2007_33, Department of Economics, University of Venice "Ca' Foscari".
    24. Jean-Philippe Cotis & Jonathan Coppel, 2005. "Business Cycle Dynamics in OECD Countries: Evidence, Causes and Policy Implications," RBA Annual Conference Volume,in: Christopher Kent & David Norman (ed.), The Changing Nature of the Business Cycle Reserve Bank of Australia.
    25. Chauvet, Marcelle & Piger, Jeremy, 2008. "A Comparison of the Real-Time Performance of Business Cycle Dating Methods," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 42-49, January.
    26. Maurizio Bovi, 2005. "Globalization vs. Europeanization: A Business Cycles Race," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(3), pages 331-345, June.
    27. Clements, Michael P & Krolzig, Hans-Martin, 2003. "Business Cycle Asymmetries: Characterization and Testing Based on Markov-Switching Autoregressions," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 196-211, January.
    28. Jacques Anas & Monica Billio & Laurent Ferrara & Gian Luigi Mazzi, 2008. "A System For Dating And Detecting Turning Points In The Euro Area," Manchester School, University of Manchester, vol. 76(5), pages 549-577, September.
    29. François Bouton & Hélène Erkel-Rousse, 2002. "Conjonctures sectorielles et prévision à court terme de l'activité : l'apport de l'enquête de conjoncture dans les services," Économie et Statistique, Programme National Persée, vol. 359(1), pages 35-68.
    30. Matthieu Cornec, 2006. "Analyse factorielle dynamique multifréquence appliquée à la datation de la conjoncture française," Économie et Prévision, Programme National Persée, vol. 172(1), pages 29-43.
    31. Gerhard Bry & Charlotte Boschan, 1971. "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs," NBER Books, National Bureau of Economic Research, Inc, number bry_71-1, December.
    32. Clements, Michael & Krolzig, Hans-Martin, 1998. "Business Cycle Asymmetries: Characterisation and Testing based on Markov-Switching Autoregressions," Economic Research Papers 269248, University of Warwick - Department of Economics.
    33. Benoit Bellone, 2005. "Classical Estimation of Multivariate Markov-Switching Models using MSVARlib," Econometrics 0508017, University Library of Munich, Germany.
    34. Ferrara, Laurent, 2003. "A three-regime real-time indicator for the US economy," Economics Letters, Elsevier, vol. 81(3), pages 373-378, December.
    35. Benoît Bellone, 2006. "Une lecture probabiliste du cycle d’affaires américain," Économie et Prévision, Programme National Persée, vol. 172(1), pages 63-81.
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