Abstract
Using statistical identification, we extract a COVID-19-induced shock by exploiting large daily jumps in financial markets caused by news about the pandemic. This shock depresses economic and financial indicators, increases risk and uncertainty measures, has sizeable distributional effects, and hits most harshly those industries relying on face-to-face interactions. Impulse response function analysis across various identification strategies leads us to interpret the statistical COVID-19-induced shock as a structural uncertainty shock.
| Original language | English |
|---|---|
| Article number | 103893 |
| Number of pages | 12 |
| Journal | European Economic Review |
| Volume | 139 |
| Early online date | 9 Sept 2021 |
| DOIs | |
| Publication status | Published - Oct 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 1 No Poverty
Keywords
- COVID-19
- Uncertainty shocks
- Heteroskedasticity
- Daily SVAR
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