Choosing the Right Spatial Weighting Matrix in a Quantile Regression Model

Table 12

Estimation results at the 0.9th quantile.

	LSA		Full path		SCAD
	Coefficient	P value	Coefficient	P value	Coefficient	P value
Intercept	3.804	0.000	2.374	0.000	1.608	0.017
CRIM	−0.010	0.000	−0.002	0.789	−0.010	0.000
ZN			−0.001	0.048	0.000	0.975
INDUS			0.001	0.716	−0.002	0.300
CHAS					0.068	0.286
NOX^2	−0.818	0.000
RM^2	0.007	0.000	0.008	0.001	0.012	0.000
AGE
log (DIS)	−0.248	0.000			−0.069	0.164
log (RAD)	0.068	0.000			0.050	0.014
TAX
PTRATIO	−0.029	0.000	−0.012	0.158	0.000	0.995
B	−0.279	0.000
log (LSTAT)			−0.263	0.000	−0.168	0.000
n2w0.5			−0.098	0.549	0.152	0.140
n7w0.4			0.026	0.920	0.329	0.024
n8w2.6			0.517	0.069
n10w2.5	0.260	0.000