Research Article
Choosing the Right Spatial Weighting Matrix in a Quantile Regression Model
Table 6
Estimation results at the 0.3th quantile.
| | LSA | Full path | SCAD | | Coefficient | P value | Coefficient | P value | Coefficient | P value |
| Intercept |
1.904
|
0.000
|
1.973
|
0.000
|
1.553
|
0.000
| CRIM | −0.014 |
0.000
| −0.014 |
0.000
| −0.011 |
0.207
| ZN | | |
0.000
|
0.452
|
0.000
|
0.591
| INDUS | | |
0.003
|
0.158
|
0.004
|
0.041
| CHAS | | |
0.024
|
0.441
| | | NOX2 | −0.106 |
0.344
| −0.187 |
0.132
| | | RM2 |
0.013
|
0.000
|
0.014
|
0.000
|
0.015
|
0.000
| AGE | −0.001 |
0.033
| −0.001 |
0.052
| −0.001 |
0.055
| log (DIS) | −0.119 |
0.000
| −0.110 |
0.002
| −0.067 |
0.073
| log (RAD) |
0.053
|
0.003
|
0.061
|
0.002
|
0.045
|
0.037
| TAX |
0.000
|
0.034
|
0.000
|
0.014
|
0.000
|
0.013
| PTRATIO | −0.009 |
0.039
| −0.012 |
0.010
| −0.011 |
0.011
| B |
0.000
|
0.000
|
0.000
|
0.000
|
0.000
|
0.000
| Log (LSTAT) | −0.159 |
0.000
| −0.163 |
0.000
| −0.131 |
0.000
| n3w0.4 |
0.221
|
0.048
|
0.141
|
0.202
|
0.192
|
0.384
| n6w0.4 |
0.186
|
0.101
|
0.245
|
0.032
| | | n8w0.5 | | | | |
0.259
|
0.078
|
|
|