Table A6.

Robustness Checks.

	Dependent variable: Log of Overall Crime Incidents
	Before window			After window
	7 weeks	5 weeks	3 weeks	2 weeks	4 weeks	6 weeks	8 weeks	2019	Unemployment
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)	(9)
After*Treat	−0.265***	−0.241***	−0.203***	−0.259***	−0.265***	−0.255***	−0.248***	−0.255***	−0.227***
	(0.024)	(0.025)	(0.027)	(0.031)	(0.024)	(0.020)	(0.018)	(0.022)	(0.047)
Unemployment Rate									−0.005
Observations	1,221	999	777	999	1,221	1,443	1665	418	1,221
Adjusted R2	0.976	0.983	0.985	0.975	0.976	0.977	0.978	0.985	0.976
									*p**p***p < 0.01

Note: *p<0.1 **p<0.05 ***p<0.01. This table present results robustness checks of the main results presented in Table 1. Overall crime rate is the dependent variable in each column, which presents a separate regression based off the difference-in-difference specification in equation (1) with the following differences. The first 3 columns vary the number of weeks in the before period; the next 4 columns vary the number of weeks in the after period. 7 weeks in the before period and 4 weeks in the after period is the baseline that is used in Table 1. Column 8 uses only data from 2019 and 2020. Column 9 adds the unemployment rate as an additional control variable to the base specification. After = 1 beginning the week of the stay-at-home order and 0 otherwise; Treat = 1 for 2020 and 0 otherwise. All regressions include city and week fixed effects. Standard errors calculated by wild bootstrap. Data source: city police departments.