Table 3.

Two-Way, Fixed Effects Models Predicting Depression by Seasons.^a

	(1)	(2)	(3)	(4)	(5)
	All	Spring	Summer	Autumn	Winter
Lagged PM 2.5	0.279b	0.520c	0.670b	0.310	0.036
	(0.089)	(0.129)	(0.239)	(0.184)	(0.190)
Lagged Internet	3.822c	2.520b	1.237b	0.719	4.142c
	(0.626)	(0.846)	(0.391)	(0.763)	(1.224)
Lagged Tem	−0.007	−0.022	−0.056b	−0.047b	0.159c
	(0.006)	(0.014)	(0.020)	(0.016)	(0.016)
Lagged Rain	0.172	−0.071	0.096	−0.052	1.564c
	(0.109)	(0.194)	(0.178)	(0.176)	(0.381)
Lagged Wind	−0.378c	−0.094	−0.414	0.030	−0.809
	(0.108)	(0.144)	(0.214)	(0.233)	(0.497)
Lagged Daylen	−0.038c	0.025	−0.033d	−0.020	−0.067b
	(0.008)	(0.014)	(0.013)	(0.018)	(0.024)
Week	0.042c	−0.239 c	0.195 c	0.113	0.038 c
	(0.003)	(0.051)	(0.026)	(0.071)	(0.004)
Week squared	−0.001c	−0.011c	−0.017c	−0.009c	0.007c
	(0.000)	(0.002)	(0.004)	(0.003)	(0.000)
Constant	15.140c	12.640c	16.354c	15.419c	12.021c
	(0.398)	(0.610)	(0.876)	(0.913)	(1.726)
Number of cities	282	277	277	282	282
Observations	14 066	3589	3587	3607	3283
R 2	.157	.022	.083	.071	.256

^a Standard errors in parentheses.

^b P < .01.

^c P < .001.

^d P < .05.