Table 15.
Extreme temperature and mortality rate with OLS regression
| (1) OLS |
|
|---|---|
| ≤ 5th percentile | 0.320*** |
| (0.070) | |
| > 5th and ≤ 10th percentile | 0.092 |
| (0.070) | |
| > 10th and ≤ 25th percentile | 0.115* |
| (0.045) | |
| ≥ 75th and < 90th percentile | −0.049 |
| (0.033) | |
| ≥ 90th and < 95th percentile | 0.03 |
| (0.052) | |
| ≥ 95th percentile | 0.228*** |
| (0.051) | |
| Observations | 25,200 |
| Province-Month FE | YES |
| Month-Year FE | YES |
Results are obtained estimating an OLS regression on the mortality rate with month-year and province-month FE and the control variables used in Eq. (1) for individuals aged above 65. 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 Standard errors clustered at the provincial level. Significance levels: ***p < 0.001, **p < 0.01, *p < 0.05