Table 9.
Temperature-related deaths and interaction with marriage status
| (1) | |
|---|---|
| ≤ 5th percentile | 0.009*** |
| (0.002) | |
| ≤ 5th percentile*Married | −0.005*** |
| (0.001) | |
| > 5th and ≤ 10th percentile | 0.002* |
| (0.001) | |
| > 5th and ≤ 10th percentile*Married | 0.001 |
| (0.001) | |
| > 10th and ≤ 25th percentile | 0.003* |
| (0.001) | |
| > 10th and ≤ 25th percentile*Married | −0.003*** |
| (0.000) | |
| ≥ 75th and < 90th percentile | −0.001 |
| (0.001) | |
| ≥ 75th and < 90th percentile*Married | 0.002*** |
| (0.000) | |
| ≥ 90th and < 95th percentile | 0.001*** |
| (0.000) | |
| ≥ 90th and < 95th percentile*Married | −0.001* |
| (0.001) | |
| ≥ 95th percentile | 0.006*** |
| (0.001) | |
| ≥ 95th percentile*Married | −0.002*** |
| (0.000) | |
| Observations | 50,400 |
| Province-Month FE | YES |
| Month-Year FE | YES |
Results are obtained estimating Eq. (1) adding an interaction with marital status. 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