IDEAS home Printed from https://ideas.repec.org/p/euf/ecopap/0154.html
   My bibliography  Save this paper

An indicator-based short-term forecast for quarterly GDP in the euro area

Author

Listed:
  • Peter Grasmann
  • Filip Keereman

Abstract

This paper discusses an approach to estimate euro area GDP quarterly growth over two quarters ahead. The estimates are derived from separate single equations for each quarter to be forecast using OLS including a moving error term. The explanatory variables describe real economic activity or its assessment in opinion surveys, and financial variables, both of the euro area and the US. The euro area opinion survey variables are the present business situation in the retail sector and the construction confidence indicator, while the US National Association of Purchasing Managers index of the manufacturing industry reflects the importance of international economic links. There are two financial variables. First, the relative yield spread between the euro area and the US. Second, the real effective exchange rate is an indication of the competitive position of euro area exporters

Suggested Citation

  • Peter Grasmann & Filip Keereman, 2001. "An indicator-based short-term forecast for quarterly GDP in the euro area," European Economy - Economic Papers 2008 - 2015 154, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
  • Handle: RePEc:euf:ecopap:0154
    as

    Download full text from publisher

    File URL: http://ec.europa.eu/economy_finance/publications/pages/publication934_en.pdf
    Download Restriction: no

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Patrick M. Crowley & Tony Schildt, 2012. "An Analysis of the Embedded Frequency Content of Macroeconomic Indicators and their Counterparts using the Hilbert-Huang Transform," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2012(1), pages 1-31.
    2. repec:spo:wpecon:info:hdl:2441/1926 is not listed on IDEAS
    3. Éric Heyer & Hervé Péléraux, 2004. "Un indicateur de croissance infra-annuelle pour l'économie française," Revue de l'OFCE, Presses de Sciences-Po, vol. 88(1), pages 203-218.
    4. Kai Carstensen & Steffen Henzel & Johannes Mayr & Klaus Wohlrabe, 2009. "IFOCAST: Methoden der ifo-Kurzfristprognose," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(23), pages 15-28, December.
    5. Daniel Leigh & Marco Rossi, 2002. "Leading Indicators of Growth and Inflation in Turkey," IMF Working Papers 02/231, International Monetary Fund.
    6. Darné, O. & Brunhes-Lesage, V., 2007. "L’indicateur synthétique mensuel d’activité (ISMA) : une révision," Bulletin de la Banque de France, Banque de France, issue 162, pages 21-36.
    7. Alessandro Girardi & Roberto Golinelli & Carmine Pappalardo, 2017. "The role of indicator selection in nowcasting euro-area GDP in pseudo-real time," Empirical Economics, Springer, vol. 53(1), pages 79-99, August.
    8. Esteves, Paulo Soares, 2013. "Direct vs bottom–up approach when forecasting GDP: Reconciling literature results with institutional practice," Economic Modelling, Elsevier, vol. 33(C), pages 416-420.
    9. Perez, Javier J., 2007. "Leading indicators for euro area government deficits," International Journal of Forecasting, Elsevier, vol. 23(2), pages 259-275.
    10. Schumacher Christian & Dreger Christian, 2004. "Estimating Large-Scale Factor Models for Economic Activity in Germany: Do They Outperform Simpler Models? / Die Schätzung von großen Faktormodellen für die deutsche Volkswirtschaft: Übertreffen sie ei," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 224(6), pages 731-750, December.
    11. Claveria, Oscar & Pons, Ernest & Ramos, Raul, 2007. "Business and consumer expectations and macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 23(1), pages 47-69.
    12. Ferrara, Laurent, 2006. "A real-time recession indicator for the Euro area," MPRA Paper 4042, University Library of Munich, Germany.
    13. an de Meulen, Philipp, 2015. "Das RWI-Kurzfristprognosemodell," RWI Konjunkturberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, vol. 66(2), pages 25-46.
    14. Baffigi, Alberto & Golinelli, Roberto & Parigi, Giuseppe, 2004. "Bridge models to forecast the euro area GDP," International Journal of Forecasting, Elsevier, vol. 20(3), pages 447-460.
    15. Maria Antoinette Silgoner, 2005. "An Overview of European Economic Indicators: Great Variety of Data on the Euro Area, Need for More Extensive Coverage of the New EU Member States," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 66-89.
    16. Rünstler, Gerhard & Sédillot, Franck, 2003. "Short-term estimates of euro area real GDP by means of monthly data," Working Paper Series 276, European Central Bank.
    17. Dreger, Christian & Schumacher, Christian, 2002. "Estimating Large-Scale Factor Models for Economic Activity in Germany: Do They Outperform Simpler Models?," Discussion Paper Series 26321, Hamburg Institute of International Economics.

    More about this item

    Keywords

    euro; quaterly forecast; GDP;

    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:euf:ecopap:0154. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ECFIN INFO). General contact details of provider: http://edirc.repec.org/data/dg2ecbe.html .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.