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
NOX^2	−0.106	0.344	−0.187	0.132
RM^2	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