Analysis of the U.S. Business Cycle with a Vector-Markov-Switching Model:

This paper identifies turning points for the U.S. business cycle using different time series. The model, a multivariate Markov-Swiching model, assumes that each series is characterized by a mixture of two normal distributions (a high and low mean) with switching determined by a common Markov process...

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Bibliographic Details
Main Author: Kontolemis G., Zenon (Author)
Format: Electronic eBook
Language:English
Published: Washington, D.C International Monetary Fund 1999
Series:IMF Working Papers Working Paper No. 99/107
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Summary:This paper identifies turning points for the U.S. business cycle using different time series. The model, a multivariate Markov-Swiching model, assumes that each series is characterized by a mixture of two normal distributions (a high and low mean) with switching determined by a common Markov process. The procedure is applied to the series that make up the composite U.S. coincident indicator to obtain business cycle turning points. The business cycle chronology is closer to the NBER reference cycle than the turning points obtained from the individual series using a univariate model. The model is also used to forecast the series, with encouraging results
Physical Description:1 Online-Ressource (19 p)
ISBN:1451852967
9781451852967

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