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. 2020 Oct 30;89:102894. doi: 10.1016/j.jtrangeo.2020.102894

Table F.

The estimations using DID and DDD models including lagged variables of COVID cases.

Outcome: Social distancing index
Time window 1
Time window 2
Time window 3
(1) (2) (3) (4) (5) (6)
Stay-at-Home Order 8.52*** 13.56*** 7.88*** 13.24*** 7.03*** 12.62***
(0.26) (0.6) (0.24) (0.55) (0.22) (0.47)
Stay-at-Home Order × Lower-Income −6.14*** −6.57*** −6.83***
(0.62) (0.57) (0.48)



Control variables:
COVID-19 new cases Yes Yes Yes Yes Yes Yes
COVID-19 accumulative cases Yes Yes Yes Yes Yes Yes
Lags of COVID-19 new cases Yes Yes Yes Yes Yes Yes
Lags of COVID-19 accumulative cases Yes Yes Yes Yes Yes Yes
Daily maximum temperature Yes Yes Yes Yes Yes Yes
Daily precipitation Yes Yes Yes Yes Yes Yes
Snow Yes Yes Yes Yes Yes Yes
Week-of-sample FE Yes Yes Yes Yes Yes Yes
Day-of-week FE Yes Yes Yes Yes Yes Yes
County FE Yes Yes Yes Yes Yes Yes
Observations 233,735 233,735 242,390 242,390 277,010 277,010
R-square 0.67 0.67 0.67 0.67 0.69 0.7

Note: *** p < 0.01, ** p < 0.05, * p < 0.1. Standard errors are clustered at county level, which are in parentheses. “Yes” means the control variables and fixed effects indicated in the left column are included in the model. We include one day to ten days lagged variables of COVID-19 new cases and accumulative cases into the models.