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Markov-Switching und ifo Geschäftsklima

Author

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  • Klaus Abberger
  • Wolfgang Nierhaus

Abstract

Die hier präsentierten Berechnungen zeigen, dass das ifo Geschäftsklima in der gewerblichen Wirtschaft mit einem Markov-Switching-(MS-)Ansatz modelliert werden kann. Mit diesem MS-Modell können die Wendepunkte der zyklischen Komponente des realen Bruttoinlandsprodukts zuverlässig und mit Vorlauf erkannt werden.

Suggested Citation

  • Klaus Abberger & Wolfgang Nierhaus, 2008. "Markov-Switching und ifo Geschäftsklima," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(10), pages 25-30, May.
    • Handle: RePEc:ces:ifosdt:v:61:y:2008:i:10:p:25-30
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    References listed on IDEAS

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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. Goldfeld, Stephen M. & Quandt, Richard E., 1973. "A Markov model for switching regressions," Journal of Econometrics, Elsevier, vol. 1(1), pages 3-15, March.
    3. 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.
    4. 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.
    5. Georg Goldrian, 2004. "Handbuch der umfragebasierten Konjunkturforschung," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 15.
    6. Gerhard Bry & Charlotte Boschan, 1971. "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs," NBER Books, National Bureau of Economic Research, Inc, number bry_71-1, June.
    7. Benoit Bellone, 2005. "Classical Estimation of Multivariate Markov-Switching Models using MSVARlib," Econometrics 0508017, University Library of Munich, Germany.
    8. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
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    Citations

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    Cited by:

    1. Wolfgang Nierhaus & Klaus Abberger, 2015. "ifo Konjunkturampel revisited," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(05), pages 27-32, March.
    2. Klaus Abberger & Wolfgang Nierhaus, 2010. "Die ifo Konjunkturuhr: Zirkulare Korrelation mit dem Bruttoinlandsprodukt," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(05), pages 32-43, March.
    3. 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, July.
    4. Robert Lehmann & Andreas Sharik & Michael Weber, 2014. "Der Erklärungsgehalt der regionalen ifo-Indikatoren am Beispiel der Industrie- und Bauumsätze," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(04), pages 18-24, August.
    5. Klaus Abberger & Wolfgang Nierhaus, 2011. "Die aktuelle Wirtschaftsentwicklung im Lichte der ifo Konjunkturampel," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 64(22), pages 36-38, November.
    6. Christian Glocker & Werner Hölzl, 2015. "Bestimmung einer Konjunkturampel für Österreich auf Basis des WIFO-Konjunkturtests," WIFO Monatsberichte (monthly reports), WIFO, vol. 88(3), pages 175-183, March.
    7. Christian Seiler & Klaus Wohlrabe, 2013. "Das ifo Geschäftsklima und die deutsche Konjunktur," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(18), pages 17-21, October.

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    More about this item

    Keywords

    Markovscher Prozess; Geschäftsklima; Konjunktur; Deutschland;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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