Table 2.
Vaccination and Financial Markets
| With Vaccine | No Vaccine | Unexpected Vaccine | ||||
|---|---|---|---|---|---|---|
| Constr’d | Perfect | Constr’d | Perfect | Constr’d | Perfect | |
| Health | ||||||
| Vaccinations | 64 | 70 | – | – | 55 | 70 |
| Fatalities | 0.25 | 0.06 | 0.83 | 0.08 | 0.39 | 0.07 |
| Mitigation Costs (% output) | ||||||
| Social Distancing | 26 | 37 | 27 | 127 | 21 | 36 |
| Vaccine Expenditure | 0.2 | 0.3 | – | – | 0.2 | 0.3 |
| Welfare Cost of Pandemic | ||||||
| Consumption Equiv. | ||||||
Note: The columns labeled “Constr’d” (“Constrained”) are our baseline model with financial frictions, while the columns labeled “Perfect” are the model with perfect financial markets. The “No Vaccines” scenario is implemented as for all t and corresponds to the results in Arellano, Bai, and Mihalache (2020a, Section 4.6) augmented with a second wave. Under the “Unexpected Vaccine” scenario, agents are unaware of the eventual availability of the vaccine