MIT Press

The results reported in table 3 correspond to the regression of mean line-daily worker attendance on the identical specifications to those in table 2, as described in section IVB. The estimates from table 3 suggest a negative impact of temperature on attendance at temperatures below 19

^{\circ}

C, however, the magnitudes of the point estimates are extremely small (less than 1% of the mean). All other estimates of coefficients, including those reflecting the impacts of LED, are statistically indistinguishable from 0. In general, we interpret the results in table 3 as indicating no real impacts of temperature on worker attendance. These results imply that it is unlikely that the impact of temperature on worker attendance contributes to the estimated impacts of temperature and LED installation on efficiency.

Table 3.

Impact of Temperature on Attendance and Mitigative Impact of LED Lighting

	1	2	3	4
	Worker Presence (Line-Level Mean Daily Probability)
Wet bulb globe temperature $<$ 19	$- 0 . 0061^{* *}$	$- 0 . 0059^{* *}$	−0.0011	−0.0007
	[ $- 0.0166, -$ 0.000630]	[ $- 0.0167, -$ 0.000305]	[−0.00534, 0.00162]	[−0.00506, 0.00204]
Wet bulb globe temperature $\geq$ 19	0.0003	0.0007	0.0056	0.0064
	[−0.00585, 0.00973]	[−0.00533, 0.00989]	[−0.00409, 0.0186]	[−0.00341, 0.0193]
1(LED) $\times$ (Wet bulb globe temperature $<$ 19)			0.0003	0.0002
			[−0.00283, 0.00442]	[−0.00298, 0.00428]
1(LED) $\times$ (Wet bulb globe temperature $\geq$ 19)			−0.0051	−0.0053
			[−0.0197, 0.00771]	[−0.0199, 0.00743]
1(LED)			−0.0065	−0.0054
			[−0.0708, 0.0427]	[−0.0701, 0.0441]
	Factory $\times$ Year, Factory $\times$ Calendar Month
Fixed effects	Production Line, Day of the Week
Precipitation control	N	Y	N	Y
Observations	136,062	136,062	392,601	392,601
Mean of dependent variable	0.846	0.846	0.829	0.829

	1	2	3	4
	Worker Presence (Line-Level Mean Daily Probability)
Wet bulb globe temperature $<$ 19	$- 0 . 0061^{* *}$	$- 0 . 0059^{* *}$	−0.0011	−0.0007
	[ $- 0.0166, -$ 0.000630]	[ $- 0.0167, -$ 0.000305]	[−0.00534, 0.00162]	[−0.00506, 0.00204]
Wet bulb globe temperature $\geq$ 19	0.0003	0.0007	0.0056	0.0064
	[−0.00585, 0.00973]	[−0.00533, 0.00989]	[−0.00409, 0.0186]	[−0.00341, 0.0193]
1(LED) $\times$ (Wet bulb globe temperature $<$ 19)			0.0003	0.0002
			[−0.00283, 0.00442]	[−0.00298, 0.00428]
1(LED) $\times$ (Wet bulb globe temperature $\geq$ 19)			−0.0051	−0.0053
			[−0.0197, 0.00771]	[−0.0199, 0.00743]
1(LED)			−0.0065	−0.0054
			[−0.0708, 0.0427]	[−0.0701, 0.0441]
	Factory $\times$ Year, Factory $\times$ Calendar Month
Fixed effects	Production Line, Day of the Week
Precipitation control	N	Y	N	Y
Observations	136,062	136,062	392,601	392,601
Mean of dependent variable	0.846	0.846	0.829	0.829

Wild-cluster bootstrap 95% CIs in brackets: significant at $^{* * *}$ 1%, $^{* *}$ 5%, and $^{*}$ 10%. Clustering is done at the factory level. All measures of temperature are in degrees Celsius.

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