Markov-Switching and the Ifo Business Climate: the Ifo Business Cycle Traffic Lights
AbstractBusiness 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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Bibliographic InfoArticle provided by OECD Publishing,CIRET in its journal OECD Journal: Journal of Business Cycle Measurement and Analysis.
Volume (Year): 2010 (2010)
Issue (Month): 2 ()
Other versions of this item:
- Klaus Abberger & Wolfgang Nierhaus, 2010. "Markov-Switching and the Ifo Business Climate: The Ifo Business Cycle Traffic Lights," CESifo Working Paper Series 2936, CESifo Group Munich.
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
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