Analyzing monetary policy in China is not straightforward because the People's Bank of China (PBoC) implements policy by using more than one instrument. In this paper we use a Qual VAR, a conventional VAR system augmented with binary policy announcements, to extract a latent indicator of...

Once you allow for persistence in macroeconomic variables, two aspects of exchange rate credibility emerge whose relative importance can vary over time. Hence, the effect of policy measures on interest rate differentials becomes ambiguous. In this paper, a Markov-switching VAR that allows for...

Once you allow for persistence in macroeconomic variables, two aspects of exchange rate credibility emerge whose relative importance can vary over time. Hence, the effect of policy measures on interest rate differentials becomes ambiguous. In this paper, a Markov-switching VAR that allows for...

Once you allow for persistence in macroeconomic variables, two aspects of exchange rate credibility emerge whose relative importance can vary over time. Hence, the effect of policy measures on interest rate differentials becomes ambiguous. In this paper, a Markov-switching VAR that allows for...

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...

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...

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...

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...

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...

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...