Table A3.
OLS Regression of the effect of climate variables On COVID-19 infection and mortality.
| (1) | (2) | |
|---|---|---|
| Variables | Ln (Infection/Test) | Ln (Death/Infection) |
| Ln (Temperature) | −65.71*** | 5.694 |
| (20.83) | (31.48) | |
| Ln (Precipitation) | 2.664 | −1.439 |
| (1.671) | (1.350) | |
| Temperature^2 | 11.12*** | −1.028 |
| (3.465) | (5.101) | |
| Precipitation^2 | −0.267 | 0.183 |
| (0.200) | (0.174) | |
| Ln (Wind speed) | −0.274 | 0.322 |
| (0.244) | (0.300) | |
| CPI (Corruption Perception Index) | −0.0695*** | −0.0413 |
| (0.0210) | (0.0262) | |
| Polity2 | 0.242 | −0.160 |
| (0.156) | (0.131) | |
| CPI #Polity2 | −0.00430 | 0.00240 |
| (0.00301) | (0.00302) | |
| Trade/GDP | 0.000488 | −0.0108*** |
| (0.00273) | (0.00180) | |
| Tourism Arrivals | 0.000343 | −0.0409 |
| (0.0572) | (0.0677) | |
| Population Over 60 (%) | 0.226** | 0.162 |
| (0.0809) | (0.0974) | |
| Ln (Population density) | −0.317** | −0.0794 |
| (0.130) | (0.138) | |
| Constant | 88.45** | −6.403 |
| (33.01) | (50.03) | |
| # Observation | 37 | 36 |
| R-squared | 0.580 | 0.610 |
| F-Stat | 5.74 | 106.85 |