Titel:The Nexus between Lockdown Shocks and Economic Uncertainty: Empirical Evidence from a VAR Model
Autor:Hafemann, Lucas
Veröffentlicht:2021
URI:https://archiv.ub.uni-marburg.de/es/2024/0705
DOI: https://doi.org/10.17192/es2024.0705
ISSN: 1867-3678
DDC:330 Wirtschaft
Publikationsdatum:2024-01-19
Lizenz:https://creativecommons.org/publicdomain/mark/1.0

Dokument

Schlagwörter:
lockdown, shock identi�cation, market uncertainty, COVID-19

Summary:
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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