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
Englisch

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

Classification
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
Business cycle dating
Recession
Principal component analysis
German economy

Event
Geistige Schöpfung
(who)
Gehringer, Agnieszka
Mayer, Thomas
Event
Veröffentlichung
(who)
Springer International Publishing
(where)
Cham
(when)
2021

DOI
doi:10.1007/s41549-021-00054-6
Last update
10.03.2025, 11:43 AM CET

Data provider

This object is provided by:
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

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