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Unternehmens- versus Analystenbefragungen: Zum Prognosegehalt von ifo-Geschäftserwartungen und ZEW-Konjunkturerwartungen

Author

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  • Hüfner, Felix P.
  • Schröder, Michael

Abstract

In der vorliegenden Arbeit untersuchen wir die Eignung der ifo-Geschäftserwartungen und der ZEW-Konjunkturerwartungen als Frühindikatoren für die deutsche Industrieproduktion. Anhand von Granger-Kausalitätstests wird gezeigt, dass die auf Umfragen unter Finanzanalysten basierenden ZEW-Konjunkturerwartungen einen signifikanten einmonatigen Vorlauf vor den ifo-Geschäftserwartungen haben. Wir führen dies auf unterschiedliche Erwartungsbildungen der beiden Gruppen zurück. Die ZEW-Konjunkturerwartungen erlauben Prognosen der Industrieproduktion für 3 bis 12 Monate im voraus, die signifikant besser als eine naive Vergleichsprognose und eine Prognose mit den ifo-Erwartungen sind. Die Vorhersagen mit Hilfe der ifo-Geschäftserwartungen sind hingegen auf sehr kurze Sicht besser. Mit Hilfe von Encompassing-Tests wird gezeigt, dass für einen Horizont von drei bis sechs Monaten eine Kombination beider Indikatoren bessere Prognoseergebnisse liefert als die Verwendung der jeweiligen Indikatoren alleine. Eine Analyse der Richtungsprognosen zeigt, dass diese mit den beiden Erwartungsindikatoren erheblich besser möglich sind, als mit der naiven Prognose oder einer Zufallsprognose.

Suggested Citation

  • Hüfner, Felix P. & Schröder, Michael, 2001. "Unternehmens- versus Analystenbefragungen: Zum Prognosegehalt von ifo-Geschäftserwartungen und ZEW-Konjunkturerwartungen," ZEW Discussion Papers 01-04, ZEW - Leibniz Centre for European Economic Research.
    • Handle: RePEc:zbw:zewdip:5359
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    1. Werner H. Strigel, 1997. "Seit 25 Jahren: das ifo Geschäftsklima als Konjunkturindikator," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 50(27), pages 3-4, October.
    2. Ulrich Fritsche, 1999. "Vorlaufeigenschaften von Ifo-Indikatoren für Westdeutschland," Discussion Papers of DIW Berlin 179, DIW Berlin, German Institute for Economic Research.
    3. Norbert Funke, 1997. "Predicting recessions: Some evidence for Germany," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 133(1), pages 90-102, March.
    4. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    5. Ulrich Fritsche & Sabine Stephan, 2000. "Leading Indicators of German Business Cycles: An Assessment of Properties," Macroeconomics 0004005, University Library of Munich, Germany.
    6. 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.
    7. Yock Y. Chong & David F. Hendry, 1986. "Econometric Evaluation of Linear Macro-Economic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 53(4), pages 671-690.
    8. West, Kenneth D, 2001. "Tests for Forecast Encompassing When Forecasts Depend on Estimated Regression Parameters," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 29-33, January.
    9. Harvey, David I & Leybourne, Stephen J & Newbold, Paul, 1998. "Tests for Forecast Encompassing," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 254-259, April.
    10. Francis X. Diebold & Jose A. Lopez, 1995. "Forecast evaluation and combination," Research Paper 9525, Federal Reserve Bank of New York.
    11. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    12. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
    13. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
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    Cited by:

    1. Georg Goldrian, 2001. "Aus Befragungsdaten zusammengesetzte Frühindikatoren - Adäquate Bauweise und prognostische Aussagekraft," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 54(22), pages 32-36, December.
    2. Mühlenweg, Andrea & Sprietsma, Maresa & Horstschräer, Julia, 2010. "Humankapitalpotenziale der gestuften Hochschulabschlüsse in Deutschland: Auswertungen zu Studienbeteiligung, Studienabbrüchen, Mobilität und Eingangsselektion," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, volume 14, number 110547.
    3. 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.
    4. Michael W. M. Roos, 2005. "TV Weather Forecast or Look through the Window? Expert and Consumer Expectations about Macroeconomic Conditions," Kyklos, Wiley Blackwell, vol. 58(3), pages 415-437, July.
    5. Vogt Gerit, 2007. "Analyse der Prognoseeigenschaften von ifo-Konjunkturindikatoren unter Echtzeitbedingungen / The Forecasting Performance of ifo-indicators Under Real-time Conditions," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(1), pages 87-101, February.

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    More about this item

    Keywords

    Konjunkturerwartungen; Prognosemodelle; Prognosevergleich; Frühindikatoren;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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