Research Article

Choosing the Right Spatial Weighting Matrix in a Quantile Regression Model

Table 7

Estimation results at the 0.4th quantile.

LSA Full pathSCAD
CoefficientP valueCoefficientP valueCoefficientP 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