Ukrainekrieg: Was sagen mehr als 8 Mio. Tweets?

Grebe Moritz, Kandemir Sinem and Tillmann Peter

Wirtschaftsdienst, 2023, vol. 103, issue 7, 500-502

Abstract: We collect more than eight million German-language tweets on the war in Ukraine and use a machine learning approach to construct a daily index of uncertainty about the war. In an empirical model, we show that fluctuations in uncertainty have strong effects on financial markets and real economic activity in Germany.

JEL-codes: D8 E3 G1 (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/wd-2023-0140 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:wirtsc:v:103:y:2023:i:7:p:500-502:n:18

DOI: 10.2478/wd-2023-0140

Access Statistics for this article

Wirtschaftsdienst is currently edited by Nicole Waidlein

More articles in Wirtschaftsdienst from Sciendo
Bibliographic data for series maintained by Peter Golla ().