Table 1.

Results per 100,000 inhabitants .

(a) Unconditional results
	(1)	(2)	(3)
	Cases	Admissions	Deaths
State mask mandate	−54.95***	−11.44***	−0.73**
	[17.71]	[4.24]	[0.34]
Observations	45 577	22 042	41 034
R2	0.487	0.417	0.215
Mean of dep. variable	166.44	23.57	2.64
Linear terms	Yes	Yes	Yes
Time & county FE	Yes	Yes	Yes
Lagged mobility	Yes	Yes	Yes
(b) Results conditional on political leaning
	(1)	(2)	(3)
	Cases	Admissions	Deaths
State mask mandate	−121.10***	−16.65	−2.88***
	[38.60]	[10.93]	[0.83]
Rep. vote share × State mask	107.44**	8.50	3.53***
Mandate	[49.38]	[16.29]	[1.18]
Observations	45 577	22 042	41 034
R2	0.488	0.417	0.216
Mean of dep. variable	166.44	23.57	2.64
Linear terms	Yes	Yes	Yes
Time & county FE	Yes	Yes	Yes
Lagged mobility	Yes	Yes	Yes

Notes: The estimates are based on data for 3107 counties over 48 weeks. Counties within 150 miles of a state border over which mask mandates vary are included. We lead cases(hospital admissions)[deaths] by 1(2)[4] weeks with respect to the state mask mandate dummy. “Republican vote share” denotes the share of votes obtained by the Republican presidential ticket in 2020 at the county level. All specifications include time and county fixed effects. Standard errors are clustered at specific pairwise state borders. ***, **, and * indicate statistical significance at 1, 5, and 10 percent, respectively.

Authors’ calculations.