Table 13.

Temperature-related deaths and interaction with age categories

	(1)
≤ 5th percentile	−0.002*
	(0.001)
≤ 5th percentile* Age category 75 to 84	0.006***
	(0.001)
≤ 5th percentile* Age category 85+	0.011***
	(0.001)
> 5th and ≤ 10th percentile	0.001
	(0.001)
> 5th and ≤ 10th percentile* Age category 75 to 84	0.003***
	(0.000)
> 5th and ≤ 10th percentile * Age category 85+	0.001
	(0.001)
> 10th and ≤ 25th percentile	−0.000
	(0.001)
> 10th and ≤ 25th percentile* Age category 75 to 84	0.001**
	(0.000)
> 10th and ≤ 25th percentile* Age category 85+	0.004***
	(0.000)
≥ 75th and < 90th percentile	0.002*
	(0.001)
≥ 75th and < 90th percentile* Age category 75 to 84	−0.002***
	(0.000)
≥ 75th and < 90th percentile* Age category 85+	−0.003***
	(0.000)
≥ 90th and < 95th percentile	0.001
	(0.001)
≥ 90th and < 95th percentile* Age category 75 to 84	−0.001
	(0.001)
≥ 90th and < 95th percentile* Age category 85+	0.001
	(0.001)
> 95th percentile	0.004***
	(0.001)
> 95th percentile* Age category 75 to 84	0.001
	(0.000)
> 95th percentile* Age category 85+	0.002***
	(0.001)
Observations	25,200
Province-Month FE	YES
Month-Year FE	YES

Results are obtained estimating Eq. (1) adding an interaction with age categories. 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 and population density. Significance levels: ***p < 0.001, **p < 0.01, *p < 0.05