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

Table 6

Probit results of passenger car users.

	Random effects probit				Dynamic random effects probit
Variables	Coef.	S.E.	t-value	p-value	Coef.	S.E.	t-value	p-value
Lcar	2.187	0.058	37.700	0.000	1.711	0.126	13.590	0.000
Female	-0.128	0.053	-2.440	0.015	-0.204	0.063	-3.240	0.001
Age 20s	0.236	0.104	2.270	0.023	0.225	0.115	1.960	0.050
Age 30s	0.341	0.101	3.390	0.001	0.506	0.122	4.150	0.000
Age 40s	0.351	0.101	3.490	0.000	0.549	0.127	4.320	0.000
Age 50s	0.131	0.103	1.270	0.205	0.286	0.123	2.320	0.020
Seoul_m	-0.252	0.054	-4.690	0.000	-0.362	0.069	-5.260	0.000
Time	-0.005	0.001	-6.610	0.000	-0.006	0.001	-6.700	0.000
Vehicles	0.162	0.041	3.940	0.000	0.206	0.048	4.310	0.000
Self_emp	0.207	0.076	2.720	0.006	0.323	0.092	3.530	0.000
Hchg	0.059	0.100	0.590	0.554	0.059	0.105	0.560	0.573
Jchg	-0.027	0.087	-0.310	0.758	-0.020	0.091	-0.220	0.829
Mid income	0.089	0.072	1.240	0.217	0.161	0.083	1.950	0.051
High income	0.148	0.077	1.910	0.056	0.231	0.089	2.580	0.010
Oil dummy	-0.559	0.053	-10.470	0.000	-0.580	0.057	-10.240	0.000
const	-1.100	0.116	-9.460	0.000	-0.915	0.135	-6.800	0.000
rho					0.162	0.072	2.240	0.025
theta					3.974	1.533	2.590	0.010
obs	3932				3932
Log likelihood (0)	-2701.45				-2701.45
Log likelihood (c)	-1483.60				-2640.81
Chi-sq(df=15)	2435.71				923.95

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