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Why did we fail to predict GDP during the last cycle? A breakdown of forecast errors for Austria

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Abstract

This paper proposes an informal taxonomy to break down forecast errors of institutional forecasts. This breakdown is demonstrated for the forecasts of the Oesterreichische Nationalbank (OeNB) for Austrian GDP. The main result is that the largest part of the forecast errors can be explained by erroneous projections of the international environment. Data revisions also substantially contribute to the forecasting error for the forecast of the current year. Domestic exogenous variables play a minor role only. The inclusion of judgement improves the forecasting performance.

Suggested Citation

  • Christian Ragacs & Martin Schneider, 2009. "Why did we fail to predict GDP during the last cycle? A breakdown of forecast errors for Austria," Working Papers 151, Oesterreichische Nationalbank (Austrian Central Bank).
  • Handle: RePEc:onb:oenbwp:151
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    1. Ricardo Mestre & Peter McAdam, 2011. "Is forecasting with large models informative? Assessing the role of judgement in macroeconomic forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(3), pages 303-324, April.
    2. Markus Leibrecht & Martin Schneider, 2006. "AQM-06: The Macro economic Model of the OeNB," Working Papers 132, Oesterreichische Nationalbank (Austrian Central Bank).
    3. 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.
    4. repec:onb:oenbwp:y::i:132:b:1 is not listed on IDEAS
    5. Lupi, Claudio & Peracchi, Franco, 2003. "The limits of statistical information: How important are GDP revisions in Italy?," Economics & Statistics Discussion Papers esdp03005, University of Molise, Department of Economics.
    6. James H. Stock & Mark W. Watson, 2003. "How did leading indicator forecasts perform during the 2001 recession?," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 89(Sum), pages 71-90.
    7. Clements,Michael & Hendry,David, 1998. "Forecasting Economic Time Series," Cambridge Books, Cambridge University Press, number 9780521632423.
    8. David Hendry, 2000. "A General Forecast-error Taxonomy," Econometric Society World Congress 2000 Contributed Papers 0608, Econometric Society.
    9. Mr. Allan Timmermann, 2006. "An Evaluation of the World Economic Outlook Forecasts," IMF Working Papers 2006/059, International Monetary Fund.
    10. Andrew Filardo, 2004. "The 2001 US recession: what did recession prediction models tell us?," BIS Working Papers 148, Bank for International Settlements.
    11. Marie Diron, 2008. "Short-term forecasts of euro area real GDP growth: an assessment of real-time performance based on vintage data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(5), pages 371-390.
    12. Diron, Marie, 2006. "Short-term forecasts of euro area real GDP growth: an assessment of real-time performance based on vintage data," Working Paper Series 622, European Central Bank.
    13. Gabriel Fagan & Julian Morgan (ed.), 2005. "Econometric Models of the Euro-area Central Banks," Books, Edward Elgar Publishing, number 3918.
    14. Michael P. Clements & David F. Hendry, 2001. "Forecasting Non-Stationary Economic Time Series," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262531895, December.
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    Keywords

    Forecast error taxonomy; Breakdown; Austria; Judgement; Technical forecast.;
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