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We develop uncertainty indices for the United States and Australia based on freely accessible, real time Google Trends data. Our Google Trends Uncertainty (GTU) indices are found to be positively correlated to a variety of alternative proxies for uncertainty available for these two countries....
Persistent link: https://www.econbiz.de/10012945943
We develop uncertainty indices for the United States and Australia based on freely accessible, real time Google Trends data. Our Google Trends Uncertainty (GTU) indices are found to be positively correlated to a variety of alternative proxies for uncertainty available for these two countries....
Persistent link: https://www.econbiz.de/10011735982
We study how uncertainty shocks affect the macroeconomy across the inflation cycle using a nonlinear stochastic volatility-in-mean VAR. When inflation is high, uncertainty shocks raise inflation and depress real activity more sharply. A non-linear New Keynesian model with second-moment shocks...
Persistent link: https://www.econbiz.de/10015396830
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Announcing a quantitative objective for price developments has become a common practice in modern monetary policy making. While the specific features of such announced objectives vary across countries, a common rationale for this is to help anchoring inflation expectations. We use survey data on...
Persistent link: https://www.econbiz.de/10013319709
In this paper we estimate simple Taylor rules paying particular attention to interest rate smoothing. Following English, Nelson and Sack (2002), we employ a model in first differences to gain some insights into the presence and significance of the degree of partial adjustment as opposed to a...
Persistent link: https://www.econbiz.de/10013319938
We propose a new empirical framework that jointly decomposes the conditional variance of economic time series into a common and a sector-specific uncertainty component. We apply our framework to a large dataset of disaggregated industrial production series for the US economy. Our results...
Persistent link: https://www.econbiz.de/10013370449
We employ a mixed-frequency quantile regression approach to model the time-varying conditional distribution of the US real GDP growth rate. We show that monthly information on the US financial cycle improves the predictive power of an otherwise quarterly-only model. We combine selected quantiles...
Persistent link: https://www.econbiz.de/10013440379
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