Table 2.
Policy estimates by source of variation: LN (visits/day).
| (1) | (2) | (3) | |
|---|---|---|---|
| Border | No Border | Exit/Repeal | |
| S-I-P Order | −0.081 | −0.075 | −0.074 |
| (0.015) | (0.018) | (0.013) | |
| Repeal Order | 0.008 | ||
| (0.020) | |||
| ln(County deaths) | −0.032 | −0.042 | −0.039 |
| [asinh transf] | (0.011) | (0.006) | (0.005) |
| N | 6,391,240 | 17,474,481 | 23,865,721 |
| R2 | 0.873 | 0.882 | 0.880 |
| FEs | Store | Store | Store |
| Weights: | CZ × Week | CZ × Week | CZ × Week |
| Cluster SE: | Visits in Jan | Visits in Jan | Visits in Jan |
| County | County | County |
Notes: The dependent variable is log number of average consumer visits per day to the store. S-I-P Order is the measure of shelter-in-place at the county level as described in the text. Repeal Order indicates locations where they repeal or let their order expire. The measure of County deaths is the log of an inverse hyperbolic sine transformation of the number of deaths in the county to account for the many zeros. The standard errors are clustered at the county level.