Table 9.

Lagged night-time WBT effects

	(1)	(2)	(3)	(4)
Day WBT	$-$55.943***	$-$50.935***	851.939***	764.446***
	(10.079)	(10.164)	(130.440)	(129.152)
Day WBT${}^2$			$-$18.163***	$-$16.332***
			(2.588)	(2.562)
Night WBT	$-$69.754***	387.761***	$-$56.658***	273.542***
	(9.105)	(93.082)	(9.206)	(92.446)
Night WBT${}^2$		$-$10.284***		$-$7.451***
		(2.062)		(2.047)
Observations	35,190	35,190	35,190	35,190
Number of workers	635	635	635	635
Worker FE	Yes	Yes	Yes	Yes
Year FE	Yes	Yes	Yes	Yes
Month FE	Yes	Yes	Yes	Yes
Week FE	No	No	No	No
Day of Week	No	No	No	No
Building FE	No	No	No	No
Other weather	Yes	Yes	Yes	Yes

The dependent variable of all regressions is output per worker-shift. Day WBT refers to the maximum wet bulb temperature on day of shift. Night WBT refers to the minimum wet bulb temperature of the last night of the day 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