Table 5 Comparison of negative binomial, spatial lag, global and local geographically weighted Poisson models
Model type with Coefficient estimates (p-values) | |||||
|---|---|---|---|---|---|
Negative Binomial Model | Spatial Lag Model | Global Poisson GWR1 Model | Local Poisson GWR1 Model | ||
Model 1: | Min | Max | |||
Intercept | −7.164 (0.0001) | 1.716 (0.000) | - 7.155 (0.000) | −8.187 | -6.247 |
Black Race | −0.015 (0.0001) | −0.169 (0.001) | −0.014 (0.001) | −0.0487 | 0.0218 |
No diploma | 0.021 (0.0004) | −0.012 (0.112) | 0.003 (0.003) | −0.0553 | 0.0533 |
Unemployed | −0.041 (0.0141) | −0.030 (0.112) | −0.014 (0.009) | −0.1866 | 0.0851 |
Urban | 0.235 (0.0154) | 0.357 (0.014) | 0.186 (0.055) | −0.4526 | 0.9321 |
Model 2: | |||||
Intercept | - 6.73 (0.0001) | 1.80 (0.000) | - 6.85 (0.000) | −7.71 | -4.905 |
Black Race | −0.0129 (0.0001) | −0.093 (0.000) | −0.012 (0.001) | −0.0161 | 0.0311 |
No diploma | 0.0175 (0.0009) | −0.018 (0.011) | 0.000 (0.003) | −0.0650 | 0.0882 |
Unemployed | −0.0330 (0.0433) | −0.026 (0.179) | −0.010 (0.008) | −0.1847 | 0.0752 |
Divorced | −0.0260 (0.006) | −0.004 (0.733) | −0.016 (0.005) | −0.2485 | 0.0382 |