Table 11:
Effects of NPI speed on COVID-19 deaths per 100,000 residents by republican vote share
| County characteristic (CC) | Republican vote share |
|---|---|
| Postct × NPI Speedc | −0.0012*** |
| (0.0003) | |
| Postct × NPI Speedc × CCUnder 40% | −0.0037*** |
| (0.0013) | |
| Postct × NPI Speedc × CCOver 60% | 0.0001 |
| (0.0003) | |
| State-level tests per 100,000 | 0.0003*** |
| (0.0000) | |
| Postct × Other NPI speedc | −0.0012*** |
| (0.0001) | |
| Observations | 213,141 |
| R-squared | 0.089 |
| Dependent variable mean | 0.071 |
Notes: *** p<0.01, ** p<0.05, * p<0.1. All regressions include a constant term, date, and county fixed effects. Standard errors are in parentheses and clustered at the county level. This model uses dummy variables to indicate the county’s Republican vote share in the 2016 presidential election where the reference category is counties at the margin (40–60% Trump vote shares). We rely on information from 3089 counties because 28 were missing information on election returns