Choosing the Right Spatial Weighting Matrix in a Quantile Regression Model

Table 10

Estimation results at the 0.7th quantile.

	LSA		Full path		SCAD
	Coefficient	P value	Coefficient	P value	Coefficient	P value
Intercept	2.134	0.000	2.408	0.000	2.205	0.000
CRIM	−0.004	0.016	−0.007	0.018	−0.007	0.003
ZN			0.000	0.967	0.000	0.790
INDUS			0.000	0.902
CHAS
NOX^2
RM^2	0.011	0.000	0.013	0.000	0.014	0.000
AGE			−0.001	0.022	−0.001	0.041
log (DIS)	−0.109	0.000	−0.126	0.000	−0.096	0.003
log (RAD)			0.053	0.002	0.046	0.008
TAX	0.000	0.025	0.000	0.003	0.000	0.012
PTRATIO	−0.010	0.027	−0.014	0.001	−0.012	0.004
B	0.001	0.000	0.001	0.001	0.001	0.000
log (LSTAT)	−0.240	0.000	−0.185	0.000	−0.170	0.000
n3w0.4			0.308	0.000
n5w0.7					0.320	0.003
n8w0.9	0.413	0.000