Table 1.
Estimation results of negative binomial regression.
Variables | Estimate | Std err of | Conf. Int. of | IRR |
---|---|---|---|---|
Intercept | −5.203∗∗∗ | 0.763 | (-6.649, −3.699) | 0.005 |
Air transfer | 1.151∗∗∗ | 0.138 | (0.901, 1.394) | 3.161 |
Airport number | 0.982∗∗∗ | 0.204 | (0.549, 1.401) | 2.670 |
Schengen | 1.503∗∗∗ | 0.431 | (0.622, 2.383) | 4.498 |
Population density | 0.876∗∗∗ | 0.216 | (0.308, 1.422) | 2.403 |
Old | 0.066∗∗ | 0.025 | (0.017, 0.119) | 1.068 |
Dispersion parameter | 0.567 | 0.058 | ||
Pseudo-R2 | 0.76 | |||
Log.Lik. | −1049.602 | |||
AIC | 2113.20 |
a Schengen = 0 is taken as reference category; IRRs, incident rate ratios; AIC, Akaike information criteria.
∗P < 0.1, ∗∗P < 0.05, ∗∗∗P < 0.01.