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.
Download full text files
Additional Services
Statistics
| Author: | Agnieszka Gehringer, Thomas Mayer |
|---|---|
| URN: | urn:nbn:de:hbz:832-epub4-21254 |
| DOI: | https://doi.org/10.1007/s41549-021-00054-6 |
| ISSN: | 2509-7962 |
| ISSN: | 2509-7970 |
| Parent Title (English): | Journal of Business Cycle Research |
| Publisher: | Springer International Publishing |
| Document Type: | Article |
| Language: | English |
| Date of first Publication: | 2021/04/01 |
| Date of Publication (online): | 2023/04/25 |
| GND-Keyword: | Rezession |
| Tag: | Business Cycle Dating; C14; C82; E32; E65; German Economy; Principal Component Analysis; Recession |
| Volume: | 17 |
| Issue: | 1 |
| Page Number: | 19 |
| Institutes: | Wirtschafts- und Rechtswissenschaften (F04) / Fakultät 04 / Schmalenbach Institut für Wirtschaftswissenschaften |
| Dewey Decimal Classification: | 300 Sozialwissenschaften / 340 Recht |
| Open Access: | Open Access |
| DeepGreen: | DeepGreen |
| Licence (German): |  Creative Commons - CC BY - Namensnennung 4.0 International |