Research Article
Choosing the Right Spatial Weighting Matrix in a Quantile Regression Model
Table 7
Estimation results at the 0.4th quantile.
| | LSA | Full path | SCAD | | Coefficient | P value | Coefficient | P value | Coefficient | P value |
| Intercept |
2.020
|
0.000
|
2.151
|
0.000
|
1.697
|
0.000
| CRIM | −0.007 |
0.000
| −0.010 |
0.242
| −0.007 |
0.000
| ZN | | |
0.000
|
0.518
|
0.000
|
0.827
| INDUS | | |
0.003
|
0.088
|
0.003
|
0.074
| CHAS | | |
0.014
|
0.653
|
0.021
|
0.478
| NOX2 | | | −0.231 |
0.059
| | | RM2 |
0.012
|
0.000
|
0.014
|
0.000
|
0.015
|
0.000
| AGE | | | −0.001 |
0.186
| −0.001 |
0.074
| log (DIS) | −0.079 |
0.000
| −0.112 |
0.002
| −0.070 |
0.044
| log (RAD) |
0.036
|
0.031
|
0.053
|
0.011
|
0.044
|
0.015
| TAX |
0.000
|
0.004
|
0.000
|
0.012
|
0.000
|
0.001
| PTRATIO | −0.010 |
0.013
| −0.013 |
0.003
| −0.010 |
0.010
| B |
0.000
|
0.001
|
0.000
|
0.000
|
0.000
|
0.000
| log (LSTAT) | −0.206 |
0.000
| −0.169 |
0.000
| −0.150 |
0.000
| n3w0.4 |
0.055
|
0.643
|
0.184
|
0.246
|
0.160
|
0.145
| n5w1.3 | | |
0.157
|
0.362
| | | n6w0.4 | | | | |
0.263
|
0.016
| n6w0.5 |
0.340
|
0.004
| | | | |
|
|