An Analysis of Habitual Mode Use in the Years of Rising Oil Prices

Table 8

Probit results of nonmotorized vehicle users.

	Random effects probit				Dynamic random effects probit
Variables	Coef.	S.E.	t-value	p-value	Coef.	S.E.	t-value	p-value
Lnon-motor	2.710	0.091	29.820	0.000	1.941	0.177	10.960	0.000
Female	-0.073	0.077	-0.950	0.343	-0.068	0.098	-0.690	0.490
Age 20s	-0.103	0.134	-0.770	0.442	-0.216	0.170	-1.270	0.203
Age 30s	-0.157	0.131	-1.200	0.230	-0.388	0.178	-2.180	0.029
Age 40s	-0.311	0.136	-2.280	0.022	-0.549	0.185	-2.970	0.003
Age 50s	-0.032	0.135	-0.230	0.815	-0.206	0.180	-1.140	0.252
Seoul_m	-0.053	0.078	-0.670	0.502	-0.094	0.103	-0.910	0.364
Time	-0.010	0.002	-6.460	0.000	-0.016	0.003	-5.580	0.000
Vehicles	0.049	0.057	0.850	0.393	0.029	0.075	0.380	0.702
Self_emp	-0.176	0.115	-1.520	0.128	-0.283	0.155	-1.830	0.067
Hchg	-0.014	0.148	-0.100	0.923	-0.087	0.174	-0.500	0.615
Jchg	0.049	0.123	0.400	0.690	0.026	0.143	0.180	0.855
Mid income	-0.188	0.096	-1.970	0.049	-0.369	0.133	-2.780	0.005
High income	-0.339	0.109	-3.120	0.002	-0.602	0.163	-3.700	0.000
Oil dummy	0.418	0.079	5.310	0.000	0.490	0.092	5.340	0.000
const	-1.418	0.154	-9.190	0.000	-1.118	0.204	-5.470	0.000
rho					0.391	0.119	3.280	0.001
theta					2.245	0.699	3.210	0.001
obs	3932				3932
Log likelihood (0)	-1378.06				-1384.24
Log likelihood (c)	-635.93				-1185.73
Chi-sq(df=15)	1484.27				397.01

Note: reference variable is age 60+. reference variable is low income.