Choosing the Right Spatial Weighting Matrix in a Quantile Regression Model

Table 5

Estimation results at the 0.2th quantile.

	LSA		Full path		SCAD
	Coefficient	P value	Coefficient	P value	Coefficient	P value
Intercept	2.013	0.000	1.663	0.000	1.390	0.000
CRIM	−0.013	0.000	−0.012	0.000	−0.012	0.000
ZN			0.000	0.683	−0.001	0.288
INDUS			−0.001	0.777	0.003	0.265
CHAS					0.041	0.196
NOX^2	−0.180	0.153
RM^2	0.013	0.000	0.014	0.000	0.016	0.000
AGE	−0.001	0.019	−0.002	0.009	−0.001	0.015
log (DIS)	−0.144	0.000	−0.133	0.000	−0.025	0.544
log (RAD)	0.052	0.003	0.049	0.006	0.032	0.106
TAX	0.000	0.010	0.000	0.009	0.000	0.041
PTRATIO	−0.009	0.056	−0.004	0.423	−0.009	0.096
B	0.000	0.001	0.000	0.000	0.000	0.003
log (LSTAT)	−0.151	0.000	−0.138	0.001	−0.094	0.020
n3w1.8					0.439	0.000
n5w0.5			0.133	0.571
n6w0.4	0.397	0.000	0.309	0.164