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Zu wenig Wettbewerb? Zu Stand und Entwicklung der Genauigkeit makroökonomischer Prognosen

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  • Klinger, Sabine
  • Heilemann, Ullrich

Abstract

Ungeachtet der vielfältigen Anstrengungen hat sich die Genauigkeit makroökonomischer Prognosen seit den 1970er Jahren nicht verbessert. Deshalb mahnen (manche) Ökonomen "mehr Wettbewerb" unter den Prognoseinstituten an – und hoffen, dass die allokative Effizienz marktlicher Lösungen auch bei Makroprognosen eintritt. Allerdings handelt es sich um sehr spezifische Informationsgüter: Sie ähneln öffentlichen Gütern, ihre Genauigkeit und ihre allgemeine Güte lassen sich schwer messen, aus vergangenen Ergebnissen kann nicht auf den künftigen Erfolg/Misserfolg geschlossen werden. Folgerichtig führt die wettbewerbstheoretische Analyse nicht zu klaren Indizien, dass "mehr Wettbewerb" die Prognosegüte erhöht. Dieses noch vage Ergebnis wird von einer empirischen Untersuchung ausgewählter nationaler Prognosemärkte unterstrichen: Weder die Anzahl der Prognoseinstitute noch das Verhältnis von kommerziellen zu nicht-kommerziellen Prognostikern zeigte einen positiven Einfluss auf die Treffsicherheit. Trotz der Skepsis der Autoren darüber, dass makroökonomische Prognosen zurzeit überhaupt wesentlich verbesserbar wären, werden Vorschläge unterbreitet, wie der Prognosewettbewerb intensiviert werden könnte.

Suggested Citation

  • Klinger, Sabine & Heilemann, Ullrich, 2005. "Zu wenig Wettbewerb? Zu Stand und Entwicklung der Genauigkeit makroökonomischer Prognosen," Technical Reports 2005,16, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    • Handle: RePEc:zbw:sfb475:200516
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    1. Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
    2. Filip Keereman, 1999. "The track record of the Commission forecasts," European Economy - Economic Papers 2008 - 2015 137, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    3. Lars Jonung & Martin Larch, 2006. "Improving fiscal policy in the EU: the case for independent forecasts [‘Fiscal forecasting: The track record of the IMF, OECD and EC’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 21(47), pages 492-534.
    4. Wallis, Kenneth F., 2003. "Chi-squared tests of interval and density forecasts, and the Bank of England's fan charts," International Journal of Forecasting, Elsevier, vol. 19(2), pages 165-175.
    5. Hirshleifer, Jack, 1971. "The Private and Social Value of Information and the Reward to Inventive Activity," American Economic Review, American Economic Association, vol. 61(4), pages 561-574, September.
    6. Heilemann, Ullrich, 2002. "Increasing the transparency of macroeconometric forecasts: a report from the trenches," International Journal of Forecasting, Elsevier, vol. 18(1), pages 85-105.
    7. Fildes, Robert & Stekler, Herman, 2002. "Reply to the comments on 'The state of macroeconomic forecasting'," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 503-505, December.
    8. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
    9. Emile Grunberg & Franco Modigliani, 1954. "The Predictability of Social Events," Journal of Political Economy, University of Chicago Press, vol. 62(6), pages 465-465.
    10. Victor Zarnowitz, 1992. "Has Macro-Forecasting Failed?," Cato Journal, Cato Journal, Cato Institute, vol. 12(1), pages 129-164, Spring/Su.
    11. Makridakis, Spyros & Hibon, Michele, 2000. "The M3-Competition: results, conclusions and implications," International Journal of Forecasting, Elsevier, vol. 16(4), pages 451-476.
    12. Heilemann Ullrich, 2004. "Besser geht’s nicht – Genauigkeitsgrenzen von Konjunkturprognosen / As Good as it Gets – Limits of Accuracy of Macroeconomic Short Term Forecasts," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 224(1-2), pages 51-64, February.
    13. Dicke, Hugo & Glismann, Hans G., 2002. "Konjunkturprognosen und wissenschaftlich-technischer Fortschritt," Wirtschaftsdienst – Zeitschrift für Wirtschaftspolitik (1949 - 2007), ZBW - Leibniz Information Centre for Economics, vol. 82(3), pages 167-169.
    14. Ash, J. C. K. & Smyth, D. J. & Heravi, S. M., 1993. "The accuracy of OECD forecasts for Canada and the United States," The North American Journal of Economics and Finance, Elsevier, vol. 4(2), pages 179-210.
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    Cited by:

    1. Heilemann, Ullrich & Stekler, Herman, 2007. "Introduction to "The future of macroeconomic forecasting"," International Journal of Forecasting, Elsevier, vol. 23(2), pages 159-165.
    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. 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.

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    More about this item

    Keywords

    empirical macroeconomics; forecasting accuracy; competition;
    All these keywords.

    JEL classification:

    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D4 - Microeconomics - - Market Structure, Pricing, and Design
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles

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