Ukrainekrieg : was sagen mehr als 8 Mio. Tweets?

Moritz Grebe, Sinem Kandemir, Peter Tillmann

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.

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Alternative title:	Ukraine War
Year of publication:	2023
Authors:	Grebe, Moritz ; Kandemir, Sinem ; Tillmann, Peter
Published in:	Wirtschaftsdienst : Zeitschrift für Wirtschaftspolitik. - Warsaw, Poland : Sciendo, ISSN 1613-978X, ZDB-ID 2079503-8. - Vol. 103.2023, 7, p. 500-502
Subject:	Tweet \| Krieg \| War \| Öffentlichkeit \| Public sphere \| Risiko \| Risk \| Deutschland \| Germany \| Ukraine \| Russland \| Russia

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Type of publication:	Article
Type of publication (narrower categories):	Aufsatz in Zeitschrift ; Article in journal
Language:	German
Notes:	Zusammenfassung in englischer Sprache
Other identifiers:	10.2478/wd-2023-0140 [DOI] hdl:10419/275819 [Handle]
Classification:	D8 - Information and Uncertainty ; E3 - Prices, Business Fluctuations, and Cycles ; G1 - General Financial Markets
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014322511