Choosing the Right Spatial Weighting Matrix in a Quantile Regression Model

Table 11

Estimation results at the 0.8th quantile.

	LSA		Full path		SCAD
	Coefficient	P value	Coefficient	P value	Coefficient	P value
Intercept	3.456	0.000	3.404	0.000	1.573	0.022
CRIM	−0.010	0.000	−0.010	0.000	−0.009	0.000
ZN			0.000	0.926	0.000	0.492
INDUS			−0.002	0.284	−0.003	0.208
CHAS	0.084	0.073	0.083	0.075	0.098	0.156
NOX^2	−0.506	0.000	−0.475	0.000	0.270	0.353
RM^2	0.010	0.000	0.010	0.000	0.012	0.000
AGE	−0.001	0.187	−0.001	0.167	−0.001	0.191
log (DIS)	−0.217	0.000	−0.232	0.000	−0.081	0.119
log (RAD)	0.042	0.007	0.044	0.006	0.008	0.713
TAX
PTRATIO	−0.026	0.000	−0.024	0.000	−0.002	0.829
B
log (LSTAT)	−0.257	0.000	−0.253	0.000	−0.189	0.000
n6w1.1	0.236	0.000	0.252	0.000	0.573	0.027
n9w3.9					−0.051	0.817