Table 2.

Linear Probability Models Predicting the Fraction of Residents Spending the Entire Day at Home across the United States in 2019.

	Model 1	Model 2	Model 3	Model 4	Model 5	Model 6
Intercept		0.3004 ***	0.3304 ***
		(0.0000)	(0.0000)
Temp.		−0.0017 ***	−0.0018 ***
		(0.0000)	(0.0000)
Prop. Black	0.1333 ***	0.1103 ***
	(0.0003)	(0.0001)
Prop. Hispanic	0.1334 ***	0.1240 ***
	(0.0003)	(0.0001)
Prop. Other	0.0434 ***	0.0131 ***
	(0.0003)	(0.0002)
RND			0.0404 ***
			(0.0000)
Temp. X Prop. Black		−0.0008 ***		−0.0016 ***		−0.0008 ***
		(0.0000)		(0.0000)		(0.0000)
Temp. X Prop. Hispanic		−0.0019 ***		−0.0018 ***		−0.0008 ***
		(0.0000)		(0.0000)		(0.0000)
Temp. X Prop. Other		−0.0004 ***		−0.0006 ***		−0.0004 ***
		(0.0000)		(0.0000)		(0.0000)
Temp. X RND			−0.0004 ***		−0.0005 ***	−0.0004 ***
			(0.0000)		(0.0000)	(0.0000)
Day-Area Fixed Effects	X			X	X	X
CBG Fixed Effects				X	X	X
N	75,851,034	75,851,034	75,851,034	75,851,034	75,851,034	75,851,034
AIC	−162433069.1405	−140244804.9686	−141742027.2294	−194267696.7310	−194313128.4150	−194343544.2935
BIC	−153136981.7493	−140244675.8143	−141741962.6522	−181517104.3325	−181562568.3051	−181592935.7507
Adj. R2	0.3389	0.1075	0.1250	0.5667	0.5670	0.5671

*** p < 0.001; ** p < 0.01; * p < 0.05.