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Prediction Qualities of the Ifo Indicators on a Temporal Disaggregated German GDP

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  • Christian Seiler

Abstract

This paper compares the German Gross Domestic Product between 1991 and 2008 with the Ifo business indicators. Because GDP is published quarterly but the Ifo indicators monthly, the most analyses compare these variables by merging the indicators to quarterly data. In this paper an alternative way is shown: GDP will be disaggregated with ECOTRIM, a software package from Eurostat, to get monthly data. Furthermore, a spline-based disaggregation approach is discussed. The results of the analyses demonstrate a high connection between the disaggregated GDP and the Ifo indicators.

Suggested Citation

  • Christian Seiler, 2009. "Prediction Qualities of the Ifo Indicators on a Temporal Disaggregated German GDP," ifo Working Paper Series 67, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    • Handle: RePEc:ces:ifowps:_67
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    File URL: https://www.ifo.de/DocDL/IfoWorkingPaper-67.pdf
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    References listed on IDEAS

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    1. Ulrich Fritsche, 1999. "Vorlaufeigenschaften von Ifo-Indikatoren für Westdeutschland," Discussion Papers of DIW Berlin 179, DIW Berlin, German Institute for Economic Research.
    2. Victor A. Ginsburgh, 1973. "A Further Note on the Derivation of Quarterly Figures Consistent with Annual Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 22(3), pages 368-374, November.
    3. 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.
    4. J. H. C. Lisman & J. Sandee, 1964. "Derivation of Quarterly Figures from Annual Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 13(2), pages 87-90, June.
    5. Jan Jacobs,, 1994. ""Dividing by 4": A feasible quarterly forecasting method?," Working Papers 22, Centre for Economic Research, University of Groningen and University of Twente.
    6. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
    7. repec:ces:ifosdt:v::y:2007:i::p:26-31 is not listed on IDEAS
    8. J. C. G. Boot & W. Feibes & J. H. C. Lisman, 1967. "Further Methods of Derivation of Quarterly Figures from Annual Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 16(1), pages 65-75, March.
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    Cited by:

    1. Klaus Wohlrabe, 2009. "Macroeconomic forecasting with mixed frequencies," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(21), pages 22-33, November.
    2. Beate Schirwitz & Christian Seiler & Klaus Wohlrabe, 2009. "Regional business cycles in Germany - Part 1: The data situation," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(13), pages 18-24, July.

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