Arbeitspapier
A latent weekly GDP indicator for Germany
This paper introduces a weekly GDP indicator to track real economic activity in Germany in real-time. We use a mixed-frequency dynamic factor model with quarterly, monthly, and weekly indicators and obtain the weekly GDP indicator as the weighted common component of the mixed-frequency dataset. Our indicator is able to approximate latent week-on-week growth of German GDP. In addition, it enables computing a weekly GDP series in levels, which is also of great interest for central bankers, policy makers, and practitioners interested in analysing the current state of the economy in a timely manner. Finally, we demonstrate the benefits of our indicator for high-frequency tracking of the German economy using a recursive nowcasting exercise.
- Language
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Englisch
- Bibliographic citation
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Series: Technical Paper ; No. 08/2023
- Classification
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Wirtschaft
Multiple or Simultaneous Equation Models: Classification Methods; Cluster Analysis; Principal Components; Factor Models
Index Numbers and Aggregation; Leading indicators
Business Fluctuations; Cycles
- Subject
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Business cycle
dynamic factor model
economic indicator
- Event
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Geistige Schöpfung
- (who)
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Eraslan, Sercan
Reif, Magnus
- Event
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Veröffentlichung
- (who)
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Deutsche Bundesbank
- (where)
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Frankfurt a. M.
- (when)
-
2023
- Handle
- Last update
-
10.03.2025, 11:42 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
- Arbeitspapier
Associated
- Eraslan, Sercan
- Reif, Magnus
- Deutsche Bundesbank
Time of origin
- 2023
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