Table 8.

Temperature-related deaths and interaction with gender by SES groups

Variables	(1)	(2)	(3)
	Low SES	Medium SES	High SES
≤ 5th percentile	0.006*	0.005**	0.003
	(0.002)	(0.002)	(0.003)
≤ 5th percentile*Female	0.003***	0.002	0.002
	(0.001)	(0.001)	(0.001)
> 5th and ≤ 10th percentile	0.005*	0.004	−0.001
	(0.003)	(0.002)	(0.002)
> 5th and ≤ 10th percentile*Female	−0.000	−0.001	0.003
	(0.002)	(0.001)	(0.001)
> 10th and ≤ 25th percentile	0.003*	−0.001	0.002
	(0.001)	(0.001)	(0.002)
> 10th and ≤ 25th percentile*Female	0.002**	0.001	0.001*
	(0.001)	(0.001)	(0.001)
≥ 75th and < 90th percentile	0.001	−0.000	−0.002
	(0.001)	(0.001)	(0.001)
≥ 75th and < 90th percentile* Female	−0.000	−0.001**	−0.000
	(0.001)	(0.001)	(0.000)
≥ 90th and < 95th percentile	−0.001	−0.001	−0.003
	(0.002)	(0.001)	(0.002)
≥ 90th and < 95th percentile*Female	0.004**	0.004***	0.004**
	(0.001)	(0.001)	(0.001)
≥ 95th percentile	0.005**	0.004***	0.004*
	(0.002)	(0.001)	(0.002)
≥ 95th percentile*Female	0.002*	0.001*	−0.001
	(0.001)	(0.001)	(0.001)
Observations	8,400	8,400	8,400
Province-Month FE	YES	YES	YES
Month-Year FE	YES	YES	YES

Results are obtained estimating Eq. (1) separately by SES group 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, and population density. Significance levels: ***p < 0.001, **p < 0.01, *p < 0.05