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Economic Forecasts Today– Possibilities and Problems

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  • Wolfgang Nierhaus

Abstract

Economic forecasts estimate economic developments in the present and forthcoming year at a highly aggregated level. The focus lies on statements regarding changes in the pace of the economy and the turning points of macroeconomic variables in cyclical economic activity. Economic forecasts are conditional probability statements. The fact that conditions change constantly makes it necessary to adjust forecasts accordingly. Even if forecasts cannot dispel uncertainty regarding the future, they make it easier for companies to plan and facilitate adjustments in economic and financial policy in line with future developments.

Suggested Citation

  • Wolfgang Nierhaus, 2013. "Economic Forecasts Today– Possibilities and Problems," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(01), pages 25-32, January.
  • Handle: RePEc:ces:ifosdt:v:66:y:2013:i:01:p:25-32
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    References listed on IDEAS

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    1. Carmen M. Reinhart & Kenneth S. Rogoff, 2009. "Varieties of Crises and Their Dates," Introductory Chapters, in: This Time Is Different: Eight Centuries of Financial Folly, Princeton University Press.
    2. Reinhart, Karmen & Rogoff, Kenneth, 2009. ""This time is different": panorama of eight centuries of financial crises," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 77-114, March.
    3. Projektgruppe Gemeinschaftsdiagnose, 2008. "Deutschland am Rande einer Rezession: Gemeinschaftsdiagnose Herbst 2008," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 14(2. Sonder), pages 1-87.
    4. Klaus Abberger & Wolfgang Nierhaus, 2007. "The Ifo Business Climate and turning points of the German business cycle," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 60(03), pages 26-31, February.
    5. Carmen M. Reinhart & Kenneth S. Rogoff, 2014. "This Time is Different: A Panoramic View of Eight Centuries of Financial Crises," Annals of Economics and Finance, Society for AEF, vol. 15(2), pages 215-268, November.
    6. Chatfield, Chris, 1993. "Calculating Interval Forecasts: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(2), pages 143-144, April.
    7. Wolfgang Nierhaus & Jan-Egbert Sturm, 2003. "Methods of business cycle forecasting," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(04), pages 7-23, February.
    8. Stephen K. McNees, 1988. "How accurate are macroeconomic forecasts?," New England Economic Review, Federal Reserve Bank of Boston, issue Jul, pages 15-36.
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    10. Heilemann, Ullrich & Stekler, H. O., 2003. "Has the accuracy of German macroeconomic forecasts improved?," Technical Reports 2003,31, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    11. Chatfield, Chris, 1993. "Calculating Interval Forecasts," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(2), pages 121-135, April.
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    14. Wolfgang Nierhaus, 2008. "Price-adjusted GDP and the practice followed by the Institutes in the Joint Economic Analysis," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(09), pages 15-18, May.
    15. Kai Carstensen & Steffen Henzel & Johannes Mayr & Klaus Wohlrabe, 2009. "IFOCAST: Methods of the Ifo short-term forecast," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(23), pages 15-28, December.
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    Cited by:

    1. Wolfgang Nierhaus, 2015. "Economic Situation in 2014: Forecast and Reality," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(02), pages 43-49, January.

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    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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