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 GWR1Model | Local Poisson GWR1Model | ||
|
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 |
1 Geographically Weighted Regression.