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

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Abstract

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.

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Hafemann, Lucas: The Nexus between Lockdown Shocks and Economic Uncertainty: Empirical Evidence from a VAR Model. In: , Jg. (2024-01-19), . DOI: https://doi.org/10.17192/es2024.0705.

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This item has been published with the following license: In Copyright