IDEAS home Printed from https://ideas.repec.org/p/spo/wpmain/infohdl2441-2466.html
   My bibliography  Save this paper

L'indicateur avancé de l'OFCE

Author

Listed:
  • Françoise Charpin

    (Observatoire français des conjonctures économiques)

  • Hervé Péléraux

    (Observatoire français des conjonctures économiques)

Abstract

Cet article présente les principes de construction d’un indicateur avancé pour l’économie française, ainsi que son utilisation possible. L’objectif est de prévoir la croissance du PIB pour le trimestre en cours et le trimestre à venir. L’indicateur avancé incorpore des informations conjoncturelles à fréquence mensuelle et peut être ainsi calculé chaque mois. Deux blocs de variables entrent dans la composition de l’indicateur : un bloc réel contenant des variables coïncidentes et avancées d’un trimestre, et un bloc financier regroupant des variables avancées d’au moins trois trimestres. Les contributions de chaque bloc sont analysées pour apprécier le rôle des différents facteurs. Puis l’indicateur est mis en œuvre dans un exercice rétrospectif de prévision. Les résultats paraissent significatifs et confèrent à l’instrument un caractère opérationnel qui devra toutefois être éprouvé au fil des prévisions.

Suggested Citation

  • Françoise Charpin & Hervé Péléraux, 2000. "L'indicateur avancé de l'OFCE," Sciences Po publications info:hdl:2441/2466, Sciences Po.
  • Handle: RePEc:spo:wpmain:info:hdl:2441/2466
    as

    Download full text from publisher

    File URL: https://spire.sciencespo.fr/hdl:/2441/2466/resources/2000-01-charpin-l-indicateur-avance-de-l-ofce.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gonzalo Camba-Mendez & George Kapetanios & Richard J. Smith & Martin R. Weale, 2001. "An automatic leading indicator of economic activity: forecasting GDP growth for European countries," Econometrics Journal, Royal Economic Society, vol. 4(1), pages 1-37.
    2. Jacky Fayolle, 1993. "Décrire le cycle économique," Revue de l'OFCE, Programme National Persée, vol. 45(1), pages 161-197.
    3. repec:adr:anecst:y:1999:i:54:p:05 is not listed on IDEAS
    4. Catherine Doz & Fabrice Lenglart, 1999. "Analyse factorielle dynamique : test du nombre de facteurs, estimation et application à l'enquête de conjoncture dans l'industrie," Annals of Economics and Statistics, GENES, issue 54, pages 91-127.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:hal:wpspec:info:hdl:2441/2466 is not listed on IDEAS
    2. repec:spo:wpecon:info:hdl:2441/2466 is not listed on IDEAS
    3. repec:hal:spmain:info:hdl:2441/2466 is not listed on IDEAS
    4. Daniel Grenouilleau, 2006. "The Stacked Leading Indicators Dynamic Factor Model: A Sensitivity Analysis of Forecast Accuracy using Bootstrapping," European Economy - Economic Papers 2008 - 2015 249, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    5. Daniel Grenouilleau, 2004. "A sorted leading indicators dynamic (SLID) factor model for short-run euro-area GDP forecasting," European Economy - Economic Papers 2008 - 2015 219, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    6. Françoise Charpin & Hervé Péléraux, 2000. "L'indicateur avancé de l'OFCE," Revue de l'OFCE, Programme National Persée, vol. 72(1), pages 133-155.
    7. Françoise Charpin & Hervé Péléraux, 2000. "L'indicateur avancé de l'OFCE," Post-Print hal-01011215, HAL.
    8. Martin Schneider & Martin Spitzer, 2004. "Forecasting Austrian GDP using the generalized dynamic factor model," Working Papers 89, Oesterreichische Nationalbank (Austrian Central Bank).
    9. Keen Meng Choy & Hwee Kwan Chow, 2004. "Forecasting the Global Electronics Cycle with Leading Indicators: A VAR Approach," Econometric Society 2004 Australasian Meetings 223, Econometric Society.
    10. Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012. "A Quasi–Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1014-1024, November.
    11. Chris Birchenhall & Denise Osborn & Marianne Sensier, 2001. "Predicting UK Business Cycle Regimes," Scottish Journal of Political Economy, Scottish Economic Society, vol. 48(2), pages 179-195, May.
    12. Banerjee, Anindya & Marcellino, Massimiliano, 2006. "Are there any reliable leading indicators for US inflation and GDP growth?," International Journal of Forecasting, Elsevier, vol. 22(1), pages 137-151.
    13. Fabio Canova & Matteo Ciccarelli, 2002. "Panel Index Var Models: Specification, Estimation, Testing And Leading Indicators," Working Papers. Serie AD 2002-21, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    14. Katerina Arnostova & David Havrlant & Luboš Rùžièka & Peter Tóth, 2011. "Short-Term Forecasting of Czech Quarterly GDP Using Monthly Indicators," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(6), pages 566-583, December.
    15. Antonin Aviat & Frédérique Bec & Claude Diebolt & Catherine Doz & Denis Ferrand & Laurent Ferrara & Eric Heyer & Valérie Mignon & Pierre-Alain Pionnier, 2021. "Dating business cycles in France: a reference chronology," SciencePo Working papers Main hal-03373425, HAL.
    16. Fabrice Lenglart & Fabien Toutlemonde, 2002. "Mieux appréhender le climat conjoncturel de la zone euro," Économie et Statistique, Programme National Persée, vol. 359(1), pages 69-81.
    17. Elena Angelini & Gonzalo Camba‐Mendez & Domenico Giannone & Lucrezia Reichlin & Gerhard Rünstler, 2011. "Short‐term forecasts of euro area GDP growth," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 25-44, February.
    18. 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.
    19. Anindya Banerjee & Massimiliano Marcellino & Igor Masten, 2005. "Leading Indicators for Euro‐area Inflation and GDP Growth," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(s1), pages 785-813, December.
    20. Calista Cheung & Frédérick Demers, 2007. "Evaluating Forecasts from Factor Models for Canadian GDP Growth and Core Inflation," Staff Working Papers 07-8, Bank of Canada.
    21. Fabio Canova & Matteo Ciccarelli, 2009. "Estimating Multicountry Var Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(3), pages 929-959, August.
    22. Fondeur, Y. & Karamé, F., 2013. "Can Google data help predict French youth unemployment?," Economic Modelling, Elsevier, vol. 30(C), pages 117-125.
    23. Van Nieuwenhuyze, Christophe & Benk, Szilard & Rünstler, Gerhard & Cristadoro, Riccardo & Den Reijer, Ard & Jakaitiene, Audrone & Jelonek, Piotr & Rua, António & Ruth, Karsten & Barhoumi, Karim, 2008. "Short-term forecasting of GDP using large monthly datasets: a pseudo real-time forecast evaluation exercise," Occasional Paper Series 84, European Central Bank.

    More about this item

    Keywords

    Indicateur; Économie française;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spo:wpmain:info:hdl:2441/2466. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Spire @ Sciences Po Library (email available below). General contact details of provider: https://edirc.repec.org/data/ecspofr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.