Measuring the Business Cycle Chronology with a Novel Business Cycle Indicator for Germany

Artikel

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.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Journal: Journal of Business Cycle Research ; ISSN: 2509-7970 ; Volume: 17 ; Year: 2021 ; Issue: 1 ; Pages: 71-89 ; Cham: Springer International Publishing

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Semiparametric and Nonparametric Methods: General ; Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access ; Business Fluctuations; Cycles ; Studies of Particular Policy Episodes
• Thema: Business cycle dating ; Recession ; Principal component analysis ; German economy

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Gehringer, Agnieszka ; Mayer, Thomas
• Ereignis: Veröffentlichung
• (wer): Springer International Publishing
• (wo): Cham
• (wann): 2021

Weitere Informationen

• DOI: doi:10.1007/s41549-021-00054-6
• Letzte Aktualisierung: 10.03.2025, 11:43 MEZ