Table 4. Effect of day-of temperature deviations on the probability of self-reported mental health difficulties.

	(1)	(2)	(3)
	Deviation from previous 10-year average	Deviation from previous 30-day average	Deviation from previous 7-day average
<-10°F	-0.0151	0.0141	0.0167
	(0.0141)	(0.0126)	(0.0102)
[-10, -5) °F	-0.0060	0.0100	0.0030
	(0.0087)	(0.0103)	(0.0079)
[-5, 0) °F	-0.0031	0.0039	0.0029
	(0.0070)	(0.0063)	(0.0068)
[5,10) °F	0.0031	-0.0099	-0.0057
	(0.0077)	(0.0081)	(0.0087)
≥10°F	-0.0015	-0.0011	-0.0006
	(0.0131)	(0.0124)	(0.0122)
N	3,060,158	3,060,158	3,060,158
No. of counties	2,400	2,400	2,400

The dependent variable is a binary variable indicating whether the individual has self-reported mental health difficulties; Day-of mean temperature is used to calculate temperature deviations in columns (1)-(3). Standard errors are clustered at the county level in parentheses. State-month dummies are included to control for local seasonality; county, day-of-year, and year dummies are included to control for unobserved differences across counties, day of the years, and year. All regressions include individual covariates (age and its squared, gender, income, marital status, number of children, education, employment, health plan) as well as weather controls (precipitation, dew point temperature, sunlight). Temperature deviations that fall in bin 0–5°F are omitted as the reference. Survey weight is applied. *** p<0.01, ** p<0.05, * p<0.1.