Choosing the Right Spatial Weighting Matrix in a Quantile Regression Model

Table 9

Estimation results at the 0.6th quantile.

	LSA		Full path		SCAD
	Coefficient	P value	Coefficient	P value	Coefficient	P value
Intercept	2.235	0.000	2.091	0.000	1.907	0.000
CRIM	−0.007	0.002	−0.006	0.013	−0.006	0.087
ZN			0.000	0.379	0.000	0.980
INDUS			0.001	0.418	0.002	0.343
CHAS					0.001	0.965
NOX^2
RM^2	0.013	0.000	0.013	0.000	0.015	0.000
AGE	−0.001	0.047	−0.001	0.047	−0.001	0.066
log (DIS)	−0.120	0.000	−0.110	0.000	−0.072	0.035
log (RAD)	0.035	0.043	0.048	0.007	0.041	0.023
TAX	0.000	0.004	0.000	0.001	0.000	0.003
PTRATIO	−0.012	0.003	−0.009	0.029	−0.013	0.003
B	0.000	0.000	0.000	0.000	0.001	0.000
log (LSTAT)	−0.195	0.000	−0.190	0.000	−0.152	0.000
n4w3.4	−0.143	0.203
n6w0.4					0.390	0.000
n6w0.6	0.510	0.000	0.388	0.000