Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/275819 
Year of Publication: 
2023
Citation: 
[Journal:] Wirtschaftsdienst [ISSN:] 1613-978X [Volume:] 103 [Issue:] 7 [Year:] 2023 [Pages:] 500-502
Publisher: 
Sciendo, Warsaw
Abstract (Translated): 
We collect more than eight million German-language tweets on the war in Ukraine and use a machine learning approach toconstruct a daily index of uncertainty about the war. In an empirical model, we show that fluctuations in uncertainty have strong effectson financial markets and real economic activity in Germany.
JEL: 
D8
E3
G1
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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