Table 7.

Estimates from linear model using dry bulb temperature

	(1)	(2)	(3)	(4)	(5)	(6)
Dry Bulb Temperature	$-$32.965***	$-$27.726***	$-$31.334***	$-$33.113***	$-$57.412***	$-$259.628***
(DBT)	(6.329)	(6.947)	(6.341)	(6.311)	(7.324)	(75.035)
Relative Humidity	$-$6.816**	$-$12.032***	$-$5.665**	$-$8.448***	5.306*	$-$64.527**
(RH)	(2.754)	(2.790)	(2.798)	(2.706)	(3.150)	(25.289)
DBT X RH						2.200***
						(0.795)
Observations	35,190	35,190	35,190	35,190	35,190	35,190
Number of workers	635	635	635	635	635	635
Worker FE	Yes	Yes	Yes	Yes	Yes	Yes
Year FE	Yes	Yes	Yes	Yes	Yes	Yes
Month FE	Yes	No	Yes	Yes	Yes	Yes
Week FE	No	Yes	No	No	No	No
Day of week	No	No	Yes	No	No	No
Building FE	No	No	No	Yes	No	No
Other weather	No	No	No	No	Yes	Yes

The dependent variable in all regressions is output per worker-shift

Robust standard errors clustered at the worker level are presented in parentheses, and ***$p<0.01$, **$p<0.05$, *$p<0.1$

The sample comprises all day shifts from May to September