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Ifo capacity utilisation – a coincident indicator for business activity in German manufacturing

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  • Klaus Abberger
  • Wolfgang Nierhaus

Abstract

In modern business-cycle theory, business cycles are defined as fluctuations in the rate of capacity utilisation of aggregate production potential. In connection with the Ifo Business Survey, the Ifo Institute releases quarterly data on capacity utilisation in manufacturing and construction in Germany. With an additional smoothing the already very clear signals of the Ifo capacity utilisation can be further strengthened. A particular advantage of the Ifo capacity utilisation figures is that the smoothing is very stable, also at the current edge of the time series. The results presented in this article show that the informative value of the Ifo capacity utilisation is very high, using as a reference value the cyclical components of quarterly, real gross value added in manufacturing. In addition, capacity utilisation is able to signal, in general as a coincident indicator, the turning points of the cyclical components of real gross value added. For business-cycle analysis, the Ifo determination of capacity utilisation has the advantages that it is available without much delay, that it is not subject to subsequent revisions and that it contains a clear signal without major, short-term disturbances. In this way it posseses the important characteristics that a good business-cycle indicator should have. One of its main advantages, however, is that it shows a business-cycle development without the need for a previous trend adjustment. This eliminates the problems associated with such a trend adjustment, since differing methods can extract differing business cycles, and the estimations at the edges of the time series can be very unstable. The Ifo capacity utilisation provides a clear business-cycle signal without a trend adjustment. For this reason it is a key indicator in the assessment of current business-cycle developments.

Suggested Citation

  • Klaus Abberger & Wolfgang Nierhaus, 2008. "Ifo capacity utilisation – a coincident indicator for business activity in German manufacturing," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(16), pages 15-23, August.
  • Handle: RePEc:ces:ifosdt:v:61:y:2008:i:16:p:15-23
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    1. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    2. Michael ARTIS & Massimiliano MARCELLINO & Tommaso PROIETTI, 2002. "Dating the Euro Area Business Cycle," Economics Working Papers ECO2002/24, European University Institute.
    3. Klaus Abberger & Wolfgang Nierhaus, 2007. "The Ifo Business Climate: A reliable leading indicator," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 60(05), pages 25-30, March.
    4. Canova, Fabio, 1998. "Detrending and business cycle facts," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 475-512, May.
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    Cited by:

    1. 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.
    2. Franziska Fobbe & Robert Lehmann, 2016. "Electric Motors, Energy Supply and Education: the Quality of Ifo’s Production-Side Short-Term Forecast," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(12), pages 58-63, June.
    3. Mayr, Johannes, 2010. "Forecasting Macroeconomic Aggregates," Munich Dissertations in Economics 11140, University of Munich, Department of Economics.
    4. Robert Lehmann, 2023. "The Forecasting Power of the ifo Business Survey," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 43-94, March.
    5. Robert Lehmann & Klaus Wohlrabe, 2012. "Forecast of Gross Domestic Product at a Regional Level," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(21), pages 17-23, November.
    6. Jan Kluge, 2011. "Wachstum und Beschäftigung am Wirtschaftsstandort Dresden – Warum wächst Dresden langsamer als der Rest Sachsens?," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 18(05), pages 11-19, October.
    7. Klaus Abberger & Manuel Birnbrich & Christian Seiler, 2009. "Survey of the survey in distribution - a meta-survey on the Ifo Business Survey," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(21), pages 34-41, November.
    8. Christian Seiler & Klaus Wohlrabe, 2013. "The Ifo Business Climate and the German Economy," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(18), pages 17-21, October.
    9. Klaus Abberger & Wolfgang Nierhaus, 2009. "Months for cyclical dominance and the Ifo Business Climate," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(07), pages 11-19, April.
    10. Klaus Abberger & Wolfgang Nierhaus, 2010. "Drei Monitorsysteme zur Analyse der sächsischen Industriekonjunktur," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 17(06), pages 33-39, December.
    11. 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.
    12. Klaus Abberger & Stefan Sauer & Christian Seiler, 2011. "Der Test des Tests im ifo Konjunkturtest Handel," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 52.
    13. Klaus Abberger & Wolfgang Nierhaus, 2008. "The Ifo Business-Cycle Clock: A precision instrument for the analysis of the economy," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(23), pages 16-24, December.
    14. Wolfgang Nierhaus, 2009. "Economic activity 2008: Forecasting and reality," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(03), pages 21-25, February.
    15. Beate Schirwitz & Christian Seiler & Klaus Wohlrabe, 2009. "Regional business cycles in Germany - the dating problem," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(14), pages 24-31, July.
    16. Wolfgang Nierhaus & Timo Wollmershäuser, 2016. "ifo Konjunkturumfragen und Konjunkturanalyse: Band II," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 72.

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    More about this item

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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