Table 4.
Inter-day effects
(1) | (2) | (3) | (4) | |
---|---|---|---|---|
Daily | Daily | Daily | Daily average | |
Average WBT last 3 days | 141.168*** | |||
(12.359) | ||||
Average WBT last 5 days | 178.997*** | |||
(14.765) | ||||
Average WBT last 7 days | 221.540*** | |||
(17.134) | ||||
Average WBT in week | 97.857*** | |||
(14.427) | ||||
Observations | 35,190 | 35,190 | 35,190 | 12,023 |
Number of workers | 635 | 635 | 635 | 446 |
Worker FE | Yes | Yes | Yes | Yes |
Year FE | Yes | Yes | Yes | Yes |
Month FE | Yes | Yes | Yes | Yes |
Other weather | Yes | Yes | Yes | Yes |
The dependent variable in regressions (1)–(3) is output per worker-shift. WBT refers to the maximum wet bulb temperature on day of shift. The dependent variable in regressions (4) is average daily output per worker-shift during a week. Average WBT refers to mean daily maximum WBT. Robust standard errors clustered at the worker level are presented in parentheses, and ***, **, *. The sample of specification (1)–(3) comprises all day shifts from May to September. The sample of specification (4) comprises average of day shifts by workers worked 5 or 6 days over a week in May to September