Choosing the Right Spatial Weighting Matrix in a Quantile Regression Model

Table 4

Estimation results at the 0.1th quantile.

	LSA		Full path		SCAD
	Coefficient	P value	Coefficient	P value	Coefficient	P value
Intercept	1.591	0.000	1.493	0.000	0.975	0.025
CRIM	−0.010	0.000	−0.011	0.000	−0.010	0.000
ZN			0.000	0.568	0.000	0.795
INDUS			−0.001	0.803	0.004	0.193
CHAS					0.033	0.342
NOX^2			−0.006	0.973
RM^2	0.011	0.000	0.012	0.000	0.015	0.000
AGE	−0.001	0.032	−0.002	0.021	−0.002	0.013
log (DIS)	−0.091	0.001	−0.118	0.008	−0.039	0.405
log (RAD)	0.036	0.073	0.041	0.058	0.042	0.063
TAX	0.000	0.096	0.000	0.071	0.000	0.035
PTRATIO	−0.007	0.245	−0.006	0.389	−0.006	0.297
B	0.001	0.000	0.001	0.001	0.001	0.000
log (LSTAT)	−0.153	0.003	−0.123	0.028	−0.057	0.292
n1w0.4					0.066	0.458
n5w0.6	0.478	0.000	0.385	0.014	0.442	0.000
n12w0.4			0.094	0.481