Showing 1 - 10 of 362
We assemble a data set of more than eight million German Twitter posts related to the war in Ukraine. Based on state-of-the-art methods of text analysis, we construct a daily index of uncertainty about the war as perceived by German Twitter. The approach also allows us to separate this index...
Persistent link: https://www.econbiz.de/10014293718
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...
Persistent link: https://www.econbiz.de/10014337299
We assemble a data set of more that eight million German Twitter posts related to the war in Ukraine. Based on state-of-the-art methods of text analysis, we construct a daily index of uncertainty about the war as perceived by German Twitter. The approach also allows us to separate this index...
Persistent link: https://www.econbiz.de/10014374630
Persistent link: https://www.econbiz.de/10014552745
Most meetings of the Governing Council of the ECB take place intra muros at the ECB's premises in Frankfurt. Some meetings, however, are held extra muros, i.e. outside Frankfurt, hosted by one of the national central banks. This paper uses high-frequency surprises from meeting days to show that...
Persistent link: https://www.econbiz.de/10014280769
We assemble a data set of more than eight million German Twitter posts related to the war in Ukraine. Based on state-of-the-art methods of text analysis, we construct a daily index of uncertainty about the war as perceived by German Twitter. The approach also allows us to separate this index...
Persistent link: https://www.econbiz.de/10014285114
We assemble a data set of more that eight million German Twitter posts related to the war in Ukraine. Based on state-of-the-art methods of text analysis, we construct a daily index of uncertainty about the war as perceived by German Twitter. The approach also allows us to separate this index...
Persistent link: https://www.econbiz.de/10014286314
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...
Persistent link: https://www.econbiz.de/10014322511
Persistent link: https://www.econbiz.de/10003775088
The canonical New Keynesian model specifies inflation as the present-value of future real marginal cost. This paper tests this New Keynesian Phillips Curve and exploits projections of future real marginal cost generated by VAR models to assess the model’s ability to match the behavior of...
Persistent link: https://www.econbiz.de/10002682265