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Evaluation of Ifo Economic Forecasts – a Comparison with Forecasts by Consensus Economics

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  • Timo Wollmershäuser

Abstract

A comparison of the economic forecasts made by the Ifo Institute since 1991 with forecasts by Consensus Economics in terms of accuracy shows that the Ifo forecasts of the rates of change in real domestic product in Germany for the ongoing and forthcoming year prove more reliable - albeit only slightly - than corresponding average forecasts by Consensus Economics. This result can be interpreted as an indicator of the quality of Ifo’s forecasting methods.

Suggested Citation

  • Timo Wollmershäuser, 2015. "Evaluation of Ifo Economic Forecasts – a Comparison with Forecasts by 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. 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.
    2. 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.
    3. Steffen Henzel & Sebastian Rast, 2013. "Forecasting Properties of Indicators for Predicting GDP Growth in Germany," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(17), pages 39-46, September.
    4. Kai Carstensen & Steffen Henzel & Johannes Mayr & Klaus Wohlrabe, 2009. "IFOCAST: Methods of the Ifo short-term forecast," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(23), pages 15-28, December.
    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 of the 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. "Electric Motors, Energy Supply and Education: the Quality of Ifo’s Production-Side Short-Term Forecast," 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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    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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