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Accuracy in forecasting macroeconomic variables in Iceland

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  • Ásgeir Daníelsson

Abstract

This paper discusses accuracy in forecasting of macroeconomic time series in Iceland. Until recently only the National Economic Institute (NEI) did macroeconomic forecasting in Iceland. Extensive analysis of forecasting can therefore only be done for the forecasts made by this institution during 1974-2002. The paper analysis macroeconomic forecasts published by the Central Bank of Iceland (CBI). It also analysis the accuracy of the first realeases of data from Statistics Iceland as “forecasts” of final (or the most recent) data during recent years. Forecasts made by international institutions like OECD and IMF are not included. The paper finds that errors in forecasting of GDP and private consumption have declined and that the performance of the forecasting for these variables has improved on some measures. But the volatility in the series has also decreased so when the forecast errors are compared to measures of the shocks that hit the economy the forecasting of changes in GDP do not seem to have improved. For some of the main components of GDP like export, imports and investments, the forecast errors have not decreased.

Suggested Citation

  • Ásgeir Daníelsson, 2008. "Accuracy in forecasting macroeconomic variables in Iceland," Economics wp39, Department of Economics, Central bank of Iceland.
  • Handle: RePEc:ice:wpaper:wp39
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    1. S. Boragan Aruoba, 2008. "Data Revisions Are Not Well Behaved," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(2-3), pages 319-340, March.
    2. Sharon Kozicki, 2004. "How do data revisions affect the evaluation and conduct of monetary policy?," Economic Review, Federal Reserve Bank of Kansas City, vol. 89(Q I), pages 5-38.
    3. Domenico Giannone & Michele Lenza & Lucrezia Reichlin, 2008. "Explaining The Great Moderation: It Is Not The Shocks," Journal of the European Economic Association, MIT Press, vol. 6(2-3), pages 621-633, 04-05.
    4. James H. Stock & Mark W. Watson, 2003. "Has the Business Cycle Changed and Why?," NBER Chapters, in: NBER Macroeconomics Annual 2002, Volume 17, pages 159-230, National Bureau of Economic Research, Inc.
    5. Antonello D'Agostino & Karl Whelan, 2008. "Federal Reserve Information During the Great Moderation," Journal of the European Economic Association, MIT Press, vol. 6(2-3), pages 609-620, 04-05.
    6. Ágeir Daníelsson & Lúdvík Elíasson & Magnús F. Gudmundsson & Björn A. Hauksson & Ragnhildur Jónsdóttir & Thorvardur Tjörvi Ólafsson & Thórarinn G. Pétursson, 2006. "QMM A Quarterly Macroeconomic Model of the Icelandic Economy," Economics wp32, Department of Economics, Central bank of Iceland.
    7. Clements,Michael & Hendry,David, 1998. "Forecasting Economic Time Series," Cambridge Books, Cambridge University Press, number 9780521632423.
    8. Graham Elliott & Ivana Komunjer & Allan Timmermann, 2008. "Biases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss?," Journal of the European Economic Association, MIT Press, vol. 6(1), pages 122-157, March.
    9. Allan Timmermann, 2006. "An Evaluation of the World Economic Outlook Forecasts," IMF Working Papers 2006/059, International Monetary Fund.
    10. David H. Romer & Christina D. Romer, 2000. "Federal Reserve Information and the Behavior of Interest Rates," American Economic Review, American Economic Association, vol. 90(3), pages 429-457, June.
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