Table 6 Heterogeneity analysis: drivers’ gender. Standard errors in parentheses; * p < 0.1, ** p < 0.05, *** p < 0.01.
From: The effects of PM2.5 concentrations on traffic violations and accident severity in Guangdong China
 | Male | Female | ||
---|---|---|---|---|
 | (1) | (2) | (3) | (4) |
 | Violations | Severity | Violations | Severity |
iv_PM2.5 | 0.2089** | 0.4237*** | 0.6852* | 0.8319 |
 | (0.0948) | (0.1299) | (0.3756) | (0.5544) |
Odds ratio | 1.2323** | 1.5276*** | 1.9842* | 2.2977 |
Individual factors | Yes | Yes | Yes | Yes |
Vehicle factors | Yes | Yes | Yes | Yes |
Road factors | Yes | Yes | Yes | Yes |
Environment factors | Yes | Yes | Yes | Yes |
Month fixed effect | Yes | Yes | Yes | Yes |
Day-of-week fixed effect | Yes | Yes | Yes | Yes |
City fixed effect | Yes | Yes | Yes | Yes |
Pseudo R2 | 0.009 | 0.072 | 0.011 | 0.086 |
LR chi2 | 4220.6822 | 15012.9012 | 302.1952 | 955.2078 |
Prob > chi2 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
AIC | 446,882 | 192,607 | 26,870 | 10,260 |
BIC | 447,687 | 193,357 | 27,453 | 10,795 |
N | 174,738 | 110,554 | 11,903 | 7686 |