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...
| Hlavní autor: | |
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| Médium: | Časopis |
| Jazyk: | English |
| Vydáno: |
Washington, D.C. :
International Monetary Fund,
1999.
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| Edice: | IMF Working Papers; Working Paper ;
No. 1999/107 |
| On-line přístup: | Full text available on IMF |
| Shrnutí: | 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. |
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| Popis jednotky: | <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required |
| Fyzický popis: | 1 online resource (19 pages) |
| Médium: | Mode of access: Internet |
| ISSN: | 1018-5941 |
| Přístup: | Electronic access restricted to authorized BRAC University faculty, staff and students |