Artikel
Measuring the Business Cycle Chronology with a Novel Business Cycle Indicator for Germany
This paper introduces a Business Cycle Indicator to compile a transparent and reliable chronology of past business cycle turning points for Germany. The Indicator is derived applying the statistical method of Principal Component Analysis, based on information from 20 economic time series. In this way, the Business Cycle Indicator grasps the development of the broader economic activity and has several advantages over a business cycle assessment based on quarterly series of Gross Domestic Product.
- Language
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Englisch
- Bibliographic citation
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Journal: Journal of Business Cycle Research ; ISSN: 2509-7970 ; Volume: 17 ; Year: 2021 ; Issue: 1 ; Pages: 71-89 ; Cham: Springer International Publishing
- Classification
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Wirtschaft
Semiparametric and Nonparametric Methods: General
Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
Business Fluctuations; Cycles
Studies of Particular Policy Episodes
- Subject
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Business cycle dating
Recession
Principal component analysis
German economy
- Event
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Geistige Schöpfung
- (who)
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Gehringer, Agnieszka
Mayer, Thomas
- Event
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Veröffentlichung
- (who)
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Springer International Publishing
- (where)
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Cham
- (when)
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2021
- DOI
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doi:10.1007/s41549-021-00054-6
- Last update
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10.03.2025, 11:43 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Gehringer, Agnieszka
- Mayer, Thomas
- Springer International Publishing
Time of origin
- 2021