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Macroeconomic forecasts and the nature of economic shocks in Germany

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  • Dopke, Jorg

Abstract

The paper investigates the sources of macroeconomic forecast errors in Germany. The predictions of the so-called "six leading" research institutes are analyzed. The forecast errors are discussed within an aggregate demand/supply scheme. Structural Vector Autoregressive Models are estimated to identify the shocks underlying the business cycle. It is tested whether these shocks can explain the forecast errors. The empirical results suggest that, in general, the shocks are helpful in explaining the forecast errors. However, the correlations are rather weak. In addition, lagged shocks help also to explain the mispredictions of the institutes. Thus, forecasters' expectations are not rational.
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  • Dopke, Jorg, 2001. "Macroeconomic forecasts and the nature of economic shocks in Germany," International Journal of Forecasting, Elsevier, vol. 17(2), pages 181-201.
  • Handle: RePEc:eee:intfor:v:17:y:2001:i:2:p:181-201
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    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. Holden, K & Peel, D A, 1990. "On Testing for Unbiasedness and Efficiency of Forecasts," The Manchester School of Economic & Social Studies, University of Manchester, vol. 58(2), pages 120-127, June.
    3. David E. Runkle, 1998. "Revisionist history: how data revisions distort economic policy research," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Fall, pages 3-12.
    4. Thomas J. Jordan & Carlos Lenz, 1994. "Demand and Supply Shocks in the IS-LM Model: Empirical Findings for five Countries," Diskussionsschriften dp9408, Universitaet Bern, Departement Volkswirtschaft.
    5. Granger, Clive W J, 1996. "Can We Improve the Perceived Quality of Economic Forecasts?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 455-473, Sept.-Oct.
    6. Jordan Thomas J. & Lenz Carlos, 1999. "Demand and Supply Shocks in the IS-LM Model: Empirical Findings for Five Countries / Nachfrage- und Angebotsschocks im IS-LM Modell: Empirische Ergebnisse für fünf Länder," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 218(5-6), pages 725-744, October.
    7. Ash, J. C. K. & Smyth, D. J. & Heravi, S. M., 1998. "Are OECD forecasts rational and useful?: a directional analysis," International Journal of Forecasting, Elsevier, vol. 14(3), pages 381-391, September.
    8. Fintzen, David & Stekler, H. O., 1999. "Why did forecasters fail to predict the 1990 recession?," International Journal of Forecasting, Elsevier, vol. 15(3), pages 309-323, July.
    9. Francis X. Diebold & Jose A. Lopez, 1995. "Forecast evaluation and combination," Research Paper 9525, Federal Reserve Bank of New York.
    10. Bullard, James & Keating, John W., 1995. "The long-run relationship between inflation and output in postwar economies," Journal of Monetary Economics, Elsevier, vol. 36(3), pages 477-496, December.
    11. Funke, Michael, 1997. "Supply potential and output gaps in West German manufacturing," International Journal of Forecasting, Elsevier, vol. 13(2), pages 211-222, June.
    12. Bathcelor, Roy & Dua, Pami, 1990. "Forecaster ideology, forecasting technique, and the accuracy of economic forecasts," International Journal of Forecasting, Elsevier, vol. 6(1), pages 3-10.
    13. Rudebusch, Glenn D, 1998. "Do Measures of Monetary Policy in a VAR Make Sense?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 907-931, November.
    14. Ito, Takatoshi, 1990. "Foreign Exchange Rate Expectations: Micro Survey Data," American Economic Review, American Economic Association, vol. 80(3), pages 434-449, June.
    15. Weber, Axel A., 1996. "Germany before and after unification: A structural VAR analysis," Economic Modelling, Elsevier, vol. 13(4), pages 575-601, October.
    16. Auerbach, Alan J., 1999. "On the Performance and Use of Government Revenue Forecasts," National Tax Journal, National Tax Association;National Tax Journal, vol. 52(4), pages 765-782, December.
    17. Funke, Michael, 1997. "How important are demand and supply shocks in explaining German business cycles?: New evidence on an old debate," Economic Modelling, Elsevier, vol. 14(1), pages 11-37, January.
    18. Victor Zarnowitz, 1992. "Business Cycles: Theory, History, Indicators, and Forecasting," NBER Books, National Bureau of Economic Research, Inc, number zarn92-1, July.
    19. Rudebusch, Glenn D, 1998. "Do Measures of Monetary Policy in a VAR Make Sense? A Reply," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 943-948, November.
    20. Knudsen Lars & Stahlecker Peter & Wohlers Eckhardt, 1999. "Nachfrage- und Angebotsschocks in der Europäischen Union / Demand and Supply Shocks in the European Union: Empirische Ergebnisse und methodische Erläuterungen / Empirical Results and Methodological Co," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 218(5-6), pages 513-551, October.
    21. David Laster & Paul Bennett & In Sun Geoum, 1999. "Rational Bias in Macroeconomic Forecasts," The Quarterly Journal of Economics, Oxford University Press, vol. 114(1), pages 293-318.
    22. Emile Grunberg & Franco Modigliani, 1954. "The Predictability of Social Events," Journal of Political Economy, University of Chicago Press, vol. 62, pages 465-465.
    23. Mills, Terence C. & Pepper, Gordon T., 1999. "Assessing the forecasters: an analysis of the forecasting records of the Treasury, the London Business School and the National Institute," International Journal of Forecasting, Elsevier, vol. 15(3), pages 247-257, July.
    24. Loffler, Gunter, 1998. "Biases in analyst forecasts: cognitive, strategic or second-best?," International Journal of Forecasting, Elsevier, vol. 14(2), pages 261-275, June.
    25. Sterne, Gabriel & Bayoumi, Tamim, 1995. "Temporary Cycles or Volatile Trends? Economic Fluctuations in 21 OECD Economies," The Manchester School of Economic & Social Studies, University of Manchester, vol. 63(1), pages 23-51, March.
    26. van Suntum, Ulrich, 1991. "Konjunkturprognosen: Besser als ihr Ruf," Wirtschaftsdienst – Zeitschrift für Wirtschaftspolitik (1949 - 2007), ZBW – German National Library of Economics / Leibniz Information Centre for Economics, vol. 71(7), pages 365-368.
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    Cited by:

    1. 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.

    More about this item

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • 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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