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Evaluation der ifo Konjunkturprognosen – ein Vergleich mit den Prognosen von Consensus Economics

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  • Timo Wollmershäuser

Abstract

Ein Vergleich der seit 1991 erstellten Konjunkturprognosen des ifo Instituts mit den Prognosen von Consensus Economics im Hinblick auf ihre Treffgenauigkeit zeigt, dass die ifo-Prognosen für die Vorjahresveränderungsrate des realen Bruttoinlandsprodukts für das laufende und das kommende Jahr in Deutschland weitgehend eine – allerdings nur geringe – höhere Treffgenauigkeit aufweisen als die entsprechenden Durchschnittsprognosen von Consensus Economics. Dieses Ergebnis kann als Indiz für die Güte der vom ifo Institut verwendeten Prognosemethoden interpretiert werden.

Suggested Citation

  • Timo Wollmershäuser, 2015. "Evaluation der ifo Konjunkturprognosen – ein Vergleich mit den Prognosen von Consensus Economics," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(22), pages 26-28, November.
    • Handle: RePEc:ces:ifosdt:v:68:y:2015:i:22:p:26-28
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    References listed on IDEAS

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    1. Steffen Henzel & Sebastian Rast, 2013. "Prognoseeigenschaften von Indikatoren zur Vorhersage des Bruttoinlandsprodukts in Deutschland," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(17), pages 39-46, September.
    2. 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.
    3. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    4. Roy Batchelor, 2001. "How useful are the forecasts of intergovernmental agencies? The IMF and OECD versus the consensus," Applied Economics, Taylor & Francis Journals, vol. 33(2), pages 225-235.
    5. Steffen Henzel & Wolfgang Nierhaus & Timo Wollmershäuser, 2014. "Evaluation der ifo Konjunkturprognosen," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(17), pages 43-45, September.
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    Cited by:

    1. Korbinian Breitrainer & Atanas Hristov, 2015. "Evaluation des Eurozone Economic Outlook," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(24), pages 67-73, December.
    2. Franziska Fobbe & Robert Lehmann, 2016. "Elektromotoren, Energieversorgung und Erziehung: Die Güte der entstehungsseitigen ifo-Kurzfristprognose," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(12), pages 58-63, June.
    3. 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.

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    More about this item

    Keywords

    Wirtschaftsprognose; Prognoseverfahren; Bewertung; Selbstevaluation; Vergleich;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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