The Nexus between Lockdown Shocks and Economic Uncertainty: Empirical Evidence from a VAR Model

The contribution of this paper is twofold. First, we introduce a daily vector autoregression (VAR) model for the US economy that allows discerning between lockdown shocks and a real business cycle shocks. With this methodology at hand, we then evaluate the impact of lockdown measures on economic un...

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Опубликовано в::MAGKS - Joint Discussion Paper Series in Economics (Band 32-2021)
Главный автор: Hafemann, Lucas
Формат: Статья
Язык:английский
Опубликовано: Philipps-Universität Marburg 2021
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Итог:The contribution of this paper is twofold. First, we introduce a daily vector autoregression (VAR) model for the US economy that allows discerning between lockdown shocks and a real business cycle shocks. With this methodology at hand, we then evaluate the impact of lockdown measures on economic uncertainty in a second step. Overall, we only find a moderate positive impact on uncertainty levels that is, in particular, weaker than the impact of the real business cycle shock. Taking a more granular perspective, we observe that in particular uncertainty related to entitlement programs increases and monetary policy uncertainty decreases after a lockdown shock.
Объем:17 Seiten
ISSN:1867-3678
DOI:10.17192/es2024.0705