IDEAS home Printed from https://ideas.repec.org/a/ces/ifosdt/v56y2003i08p31-33.html
   My bibliography  Save this article

Short-term industry forecasting on basis of results of the Ifo Business Survey

Author

Listed:
  • Georg Goldrian

Abstract

The results of the Ifo Business Survey are widely regarded as early indicators for the German economy. The assessments of the business conditions has a publication lead over the official statistics of six weeks. The business expectations point three to six months into the future. If one uses the survey results in models, with or without data from the official statistics, one can reliably forecast the short-term economic development of various aspects of the economy, such as economic activity at the industry level.

Suggested Citation

  • Georg Goldrian, 2003. "Short-term industry forecasting on basis of results of the Ifo Business Survey," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(08), pages 31-33, April.
  • Handle: RePEc:ces:ifosdt:v:56:y:2003:i:08:p:31-33
    as

    Download full text from publisher

    File URL: https://www.ifo.de/DocDL/ifosd_2003_8_4.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wolfgang Nierhaus & Jan-Egbert Sturm, 2003. "Methods of business cycle forecasting," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(04), pages 7-23, February.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Georg Goldrian, 2003. "The informative value of the results of the Ifo Business Survey at the regional level," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(11), pages 30-33, June.
    2. Robert Lehmann, 2023. "The Forecasting Power of the ifo Business Survey," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 43-94, March.
    3. Georg Goldrian, 2004. "A leading indicator for the development of the gross domestic product," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(07), pages 41-43, April.

    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. Wolfgang Nierhaus, 2008. "Do we need a moratorium on forecasts?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(24), pages 1-83, December.
    2. Ulrich Heilemann & Susanne Schnorr-Bäcker, 2016. "Could The Start Of The German Recession 2008-2009 Have Been Foreseen? Evidence From Real-Time Data," Working Papers 2016-003, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    3. Michael Berlemann & Gerit Vogt, 2007. "Kurzfristige Wachstumseffekte von Naturkatastrophen," ifo Working Paper Series 52, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    4. Jan Jacobs & Jan-Egbert Sturm, 2005. "Do Ifo Indicators Help Explain Revisions in German Industrial Production?," Contributions to Economics, in: Jan-Egbert Sturm & Timo Wollmershäuser (ed.), Ifo Survey Data in Business Cycle and Monetary Policy Analysis, pages 93-114, Springer.
    5. repec:ces:ifosdt:v:61:y:2008:i:24:p:83-83 is not listed on IDEAS
    6. Goodhart, Charles, 2004. "The Monetary Policy Committee's reaction function: an exercise in estimation," LSE Research Online Documents on Economics 24708, London School of Economics and Political Science, LSE Library.
    7. Brunhart, Andreas, 2019. "Der neue Konjunkturindex "KonSens": Ein gleichlaufender, vierteljährlicher Sammelindikator für Liechtenstein," EconStor Preprints 225261, ZBW - Leibniz Information Centre for Economics.
    8. Wolfgang Nierhaus, 2005. "The introduction of the previous-year price basis in German National Accounts: Consequences for business-cycle analysis," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(05), pages 19-27, March.
    9. Stephan Sauer & Jan‐Egbert Sturm, 2007. "Using Taylor Rules to Understand European Central Bank Monetary Policy," German Economic Review, Verein für Socialpolitik, vol. 8(3), pages 375-398, August.
    10. Oliver Hülsewig & Johannes Mayr & Dirk Ulbricht, 2007. "On the evaluation of VAR forecasts," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 60(07), pages 19-25, April.
    11. Stefan Sauer & Klaus Wohlrabe, 2020. "ifo Handbuch der Konjunkturumfragen," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 88.
    12. Goodhart Charles A.E., 2005. "The Monetary Policy Committee's Reaction Function: An Exercise in Estimation," The B.E. Journal of Macroeconomics, De Gruyter, vol. 5(1), pages 1-42, August.
    13. Heilemann Ullrich, 2015. "Literaturbeitrag / Review Paper. Macroeconometric Models – From “Little Science” to “Big Science”," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 235(1), pages 82-89, February.
    14. Stephan Sauer & Jan‐Egbert Sturm, 2007. "Using Taylor Rules to Understand European Central Bank Monetary Policy," German Economic Review, Verein für Socialpolitik, vol. 8(3), pages 375-398, August.
    15. Stephan Sauer & Jan-Egbert Sturm, 2003. "Using Taylor Rules to Understand ECB Monetary Policy," CESifo Working Paper Series 1110, CESifo.
    16. Steffen Elstner & Christian Grimme & Ulrich Haskamp, 2013. "The Ifo Export Climate – an Early Indicator for the German Export Forecast," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(04), pages 36-43, March.
    17. Gerit Vogt, 2010. "Zur Güte der ifo Dresden Konjunkturprognosen," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 17(01), pages 28-32, 02.
    18. Döhrn Roland & Schmidt Christoph M., 2011. "Information or Institution?: On the Determinants of Forecast Accuracy," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 9-27, February.
    19. Gerit Vogt, 2009. "Konjunkturprognose in Deutschland. Ein Beitrag zur Prognose der gesamtwirtschaftlichen Entwicklung auf Bundes- und Länderebene," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 36.
    20. Anna Billharz & Steffen Elstner & Marcus Jüppner, 2012. "Ifo Short-Term Forecasting Methods Illustrated Using Investment in Equipment," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(21), pages 24-33, November.
    21. Wolfgang Nierhaus, 2013. "Economic Forecasts Today– Possibilities and Problems," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(01), pages 25-32, January.

    More about this item

    JEL classification:

    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General

    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:ces:ifosdt:v:56:y:2003:i:08:p:31-33. 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/ifooode.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.