Table 5.

Temperature-related deaths & interaction with median temperature

	(1) Pooled
≤ 5th percentile	−0.001
	(0.004)
≤ 5th percentile # Median Temperature	0.001*
	(0.000)
> 5th and ≤ 10th percentile	0.002
	(0.005)
> 5th and ≤ 10th percentile # Median Temperature	0.000
	(0.000)
> 10th and ≤ 25th percentile	0.003
	(0.003)
> 10th and ≤ 25th percentile # Median Temperature	0.000
	(0.000)
≥ 75th and < 90th percentile	−0.003
	(0.002)
≥ 75th and < 90th percentile # Median Temperature	0.000
	(0.000)
≥ 90th and < 95th percentile	−0.004
	(0.005)
≥ 90th and < 95th percentile # Median Temperature	0.000
	(0.000)
≥ 95th percentile	0.013**
	(0.004)
≥ 95th percentile # Median Temperature	−0.001*
	(0.000)
Observations	25,200
Controls	YES
Province-Month FE	YES
Month-Year FE	YES

Results are obtained estimating Eq. (1) adding an interaction between the temperature bins and the median temperature of the province. 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, gender, SES and population density. Significance levels: ***p < 0.001, **p < 0.01, *p < 0.05