Table 10.

County case and mortality incidence using CDC case surveillance records .

	Cases			Deaths
	(1)	(2)	(3)	(4)	(5)	(6)
Weighted PM 2.5	0.240***	0.272***	0.261***	0.00602	0.00721*	0.00494
	(0.0906)	(0.0879)	(0.0905)	(0.00432)	(0.00425)	(0.00420)
F Stat	11.23	11.50	11.63	11.23	11.50	11.63
Dep Var Mean	9.880	9.893	9.895	0.305	0.305	0.305
Pct change mean	2.425	2.746	2.641	1.977	2.364	1.621
Controls	✓	✓	✓	✓	✓	✓
County & State-by-week FEs	✓			✓
County and MSA-by-week FEs		✓			✓
County and CBSA-by-week FEs			✓			✓
Observations	76,111	75,973	75,919	76,111	75,973	75,919

${}^{\ast }$$p<0.1$, ${}^{\ast \ast }$$p<0.05$, ${}^{\ast \ast \ast }$$p<0.01$. Standard errors clustered at the county level in parentheses. Outcomes are daily case or mortality incidence per 100,000 population at the county-day level. Controls include state-level and county-level policy adoption, wind speed, minimum and maximum daily temperature, precipitation, prior two-week social distancing behavior, day-of-week, and two lagged wind direction-by-monitor cluster interactions. Displayed output of a two-stage least squares regression model with county and state-by-week, MSA-by-week, or CBSA-by-week fixed effects in which wind direction and air quality monitor cluster interactions are used to predict PM 2.5 levels in a county on a given day. F-statistics of the relevance test are computed assuming first-stage standard errors are not serially correlated.