Table I.
The DID and DDD estimations using MTI and Google datasets.
| MTI data |
MTI data |
Google data |
Google data |
|
|---|---|---|---|---|
| Work trips per person |
Work trips per person |
Standardized work place visits |
Standardized work place visits |
|
| (1) | (2) | (3) | (4) | |
| Stay-at-Home Order | −0.05*** | −0.07*** | −7.6*** | −12.42*** |
| (0.002) | (0.004) | (0.23) | (0.46) | |
| Stay-at-Home Order × Lower-Income | 0.02*** | 5.89*** | ||
| (0.004) | (0.49) | |||
| Control variables: | ||||
| COVID-19 new cases | Yes | Yes | Yes | Yes |
| COVID-19 accumulative cases | Yes | Yes | Yes | Yes |
| Daily maximum temperature | Yes | Yes | Yes | Yes |
| Daily precipitation | Yes | Yes | Yes | Yes |
| Snow | Yes | Yes | Yes | Yes |
| Week-of-sample FE | Yes | Yes | Yes | Yes |
| Day-of-week FE | Yes | Yes | Yes | Yes |
| County FE | Yes | Yes | Yes | Yes |
| Observations | 110,606 | 110,606 | 104,301 | 104,301 |
| R-square | 0.33 | 0.33 | 0.79 | 0.79 |
Note: *** p < 0.01, ** p < 0.05, * p < 0.1. Standard errors are clustered at county level, which are in parentheses. We use the data in time window (2/15/2020–3/31/2020) to fit these models. The outcome variable of work place visits is standardized by the Google mobility report, which is the percent change compared to the baseline in visits to work places. The baseline is the median value for the corresponding day of the week, during the 5- week period Jan 3–Feb 6 2020. “Yes” means the control variables and fixed effects indicated in the left column are included in the model.