Table 7.

Temperature-related deaths and interaction with gender

Variables	(1)
≤ 5th percentile	0.005***
	(0.001)
≤ 5th percentile*Female	0.003***
	(0.001)
> 5th and ≤ 10th percentile	0.002
	(0.001)
> 5th and ≤ 10th percentile*Female	0.001
	(0.001)
> 10th and ≤ 25th percentile	0.002*
	(0.001)
> 10th and ≤ 25th percentile*Female	0.001**
	(0.000)
≥ 75th and < 90th percentile	0.000
	(0.001)
≥ 75th and < 90th percentile* Female	−0.001*
	(0.000)
≥ 90th and < 95th percentile	−0.001
	(0.001)
≥ 90th and < 95th percentile*Female	0.002***
	(0.001)
≥ 95th percentile	0.004***
	(0.001)
≥ 95th percentile*Female	0.002***
	(0.000)
Observations	25,200
Province-Month FE	YES
Month-Year FE	YES

Results are obtained estimating Eq. (1) adding an interaction with gender. Male is the baseline category. Standard errors are clustered at the provincial level. Constant present but not reported. Control variables are precipitation, solar radiation, wind speed, relative humidity, GDP per capita, PM2.5, SES and population density. Significance levels: ***p < 0.001, **p < 0.01, *p < 0.05