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Building on the growing evidence on the importance of large data sets for empirical macroeconomic modeling, we estimate a large-scale FAVAR model for 18 OECD member countries. We quantify the global effects of economic policy uncertainty shocks and check whether the signs, the magnitude, and the...
Persistent link: https://www.econbiz.de/10012110907
Persistent link: https://www.econbiz.de/10014546177
This paper empirically investigates the transmission of systemic risk across the Euro Area by employing a Global VAR model. We find that a union aggregate systemic risk shock results in a sharp decline in output, with two thirds of the response to be attributed to cross-country spillovers. The...
Persistent link: https://www.econbiz.de/10012704731
explain not only the spread of the disease, but also cross-country spillovers in perceptions about coronavirus risk and in … social distancing behavior. In the early phases of the pandemic, perceptions of coronavirus risk in most countries are …
Persistent link: https://www.econbiz.de/10012262142
This paper investigates which shocks drive asynchrony of business cycles in the euro area. Thereby, it unites two strands of literature, those on common features and on structural VAR analysis. In particular, we show that the presence of a common cycle implies collinearity of structural impulse...
Persistent link: https://www.econbiz.de/10011489953
Persistent link: https://www.econbiz.de/10011720983
In this paper we estimate a Bayesian vector autoregressive model with factor stochastic volatility in the error term to assess the effects of an uncertainty shock in the Euro area. This allows us to treat macroeconomic uncertainty as a latent quantity during estimation. Only a limited number of...
Persistent link: https://www.econbiz.de/10011978764
Using variance decompositions in vector auto-regressions (VARs) we model a high-dimensional network of European CDS spreads to assess the transmission of credit risk to the non-financial corporate sector. Our findings suggest a sectoral clustering in the CDS network, where financial institutions...
Persistent link: https://www.econbiz.de/10012317318
Using variance decompositions in vector auto-regressions (VARs) we model a high-dimensional network of European CDS spreads to assess the transmission of credit risk to the non-financial corporate sector. Our findings suggest a sectoral clustering in the CDS network, where financial institutions...
Persistent link: https://www.econbiz.de/10011978741