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. 2023 Aug 30;86(3):533–563. doi: 10.1007/s10640-023-00803-4

Table 2.

Estimates from linear model

(1) (2) (3) (4) (5) (6) (7) Pref
WBT -57.941 -51.245 -56.614 -55.967 -76.030 -8.857 -78.001
(9.170) (10.433) (9.156) (9.113) (9.901) (8.880) (9.869)
Precipitation -6.225 -3.325 -6.348
(1.165) (1.166) (1.165)
Cloud cover -0.984 0.614 -0.996
(1.142) (1.119) (1.131)
Sunshine duration 0.114 0.169 0.104
(0.155) (0.145) (0.154)
Wind gust -16.144 -3.220 -16.849
(5.528) (5.030) (5.386)
Wind speed 12.210 -8.444 14.721
(7.773) (7.139) (7.654)
Obs 35,190 35,190 35,190 35,190 35,190 35,190 35,190
No. of workers 635 635 635 635 635 635 635
Worker FE Yes Yes Yes Yes Yes Yes Yes
Year × Month FE No No No No No Yes No
Year FE Yes Yes Yes Yes Yes No Yes
Month FE Yes No Yes Yes Yes No Yes
Week FE No Yes No No No No No
Day of week No No Yes Yes Yes No No
Building FE No No No Yes Yes No No

The dependent variable in all regressions is output per worker-shift. WBT refers to the maximum wet bulb temperature on day of 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