Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/283352 
Year of Publication: 
2023
Series/Report no.: 
Technical Paper No. 08/2023
Publisher: 
Deutsche Bundesbank, Frankfurt a. M.
Abstract: 
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.
Subjects: 
Business cycle
dynamic factor model
economic indicator
JEL: 
C38
C43
E32
Document Type: 
Working Paper

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.