Markov-Switching and the Ifo Business Climate: the Ifo Business Cycle Traffic Lights
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 traffi c lights. JEL Classifi cation: E32, C22 Keywords: Ifo business climate, growth cycle, turning points, Markov-switching
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Volume (Year): 2010 (2010)
Issue (Month): 2 ()
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Francis X. Diebold & Glenn D. Rudebusch, 1987.
"Scoring the leading indicators,"
Special Studies Papers
206, Board of Governors of the Federal Reserve System (U.S.).
- 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.
- Potter, Simon M, 1999.
" Nonlinear Time Series Modelling: An Introduction,"
Journal of Economic Surveys,
Wiley Blackwell, vol. 13(5), pages 505-28, December.
- Klaus Abberger & Wolfgang Nierhaus, 2007. "Das ifo Geschäftsklima und Wendepunkte der deutschen Konjunktur," Ifo Schnelldienst, Ifo Institute for Economic Research at the University of Munich, vol. 60(03), pages 26-31, 02.
- Daniel R. Smith & Allan Layton, 2007. "Comparing Probability Forecasts in Markov Regime Switching Business Cycle Models," Journal of Business Cycle Measurement and Analysis, OECD Publishing,Centre for International Research on Economic Tendency Surveys, vol. 2007(1), pages 79-98.
- Klaus Abberger & Wolfgang Nierhaus, 2009. "Months for Cyclical Dominance und ifo Geschäftsklima," Ifo Schnelldienst, Ifo Institute for Economic Research at the University of Munich, vol. 62(07), pages 11-19, 04.
- Benoit Bellone, 2005. "Classical Estimation of Multivariate Markov-Switching Models using MSVARlib," Econometrics 0508017, EconWPA.
- repec:ces:ifosdt:v::y:2009:i::p:11-19 is not listed on IDEAS
- Klaus Abberger & Klaus Wohlrabe, 2006. "Einige Prognoseeigenschaften des ifo Geschäftsklimas - Ein Überblick über die neuere wissenschaftliche Literatur," Ifo Schnelldienst, Ifo Institute for Economic Research at the University of Munich, vol. 59(22), pages 19-26, November.
- 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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