Dokument
| 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 |
| Schlagwörter: |
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| 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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