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Markov-Switching and the Ifo Business Climate: The Ifo Business Cycle Traffic Lights

Author

Listed:
  • Klaus Abberger
  • Wolfgang Nierhaus

Abstract

Business cycle indicators are used to assess the economic situation of countries or regions. They are closely watched by the public, but are not easy to interpret. Does a current movement of the indicator signal a turning point or not? With the help of Markov Switching Models movements of indicators can be transformed in probability statements. In this article, the most important leading indicator of the German business cycle, the Ifo Business Climate, is described by a Markov Switching Model. Real-time probabilities for the current business-cycle regime are derived and presented in an innovative way: as the Ifo traffic lights.

Suggested Citation

  • Klaus Abberger & Wolfgang Nierhaus, 2010. "Markov-Switching and the Ifo Business Climate: The Ifo Business Cycle Traffic Lights," CESifo Working Paper Series 2936, CESifo.
  • Handle: RePEc:ces:ceswps:_2936
    as

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    File URL: https://www.cesifo.org/DocDL/cesifo1_wp2936.pdf
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    References listed on IDEAS

    as
    1. Klaus Abberger & Wolfgang Nierhaus, 2009. "Months for Cyclical Dominance und ifo Geschäftsklima," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(07), pages 11-19, April.
    2. 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.
    3. Goldfeld, Stephen M. & Quandt, Richard E., 1973. "A Markov model for switching regressions," Journal of Econometrics, Elsevier, vol. 1(1), pages 3-15, March.
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    5. Nicolas Carnot & Vincent Koen & Bruno Tissot, 2005. "Economic Forecasting," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-00581-5.
    6. Klaus Abberger & Wolfgang Nierhaus, 2007. "Das ifo Geschäftsklima und Wendepunkte der deutschen Konjunktur," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 60(03), pages 26-31, February.
    7. Klaus Abberger & Klaus Wohlrabe, 2006. "Einige Prognoseeigenschaften des ifo Geschäftsklimas - Ein Überblick über die neuere wissenschaftliche Literatur," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(22), pages 19-26, November.
    8. Simon Potter, 1999. "Nonlinear Time Series Modelling: An Introduction," Journal of Economic Surveys, Wiley Blackwell, vol. 13(5), pages 505-528, December.
    9. Diebold, Francis X & Rudebusch, Glenn D, 1989. "Scoring the Leading Indicators," The Journal of Business, University of Chicago Press, vol. 62(3), pages 369-391, July.
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    More about this item

    Keywords

    Ifo business climate; growth cycle; turning points; Markov-switching;
    All these keywords.

    JEL classification:

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

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