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

Table 7

Probit results of public transit users.

	Random effects probit				Dynamic random effects probit
Variables	Coef.	S.E.	t-value	p-value	Coef.	S.E.	t-value	p-value
Ltransit	2.052	0.059	34.590	0.000	1.409	0.112	12.610	0.000
Female	0.195	0.054	3.650	0.000	0.295	0.068	4.370	0.000
Age 20s	-0.013	0.103	-0.130	0.897	0.118	0.122	0.970	0.330
Age 30s	-0.144	0.101	-1.430	0.152	-0.252	0.119	-2.120	0.034
Age 40s	-0.138	0.101	-1.370	0.171	-0.293	0.122	-2.400	0.016
Age 50s	-0.004	0.104	-0.040	0.969	-0.130	0.124	-1.050	0.294
Seoul_m	0.302	0.054	5.540	0.000	0.466	0.076	6.170	0.000
Time	0.009	0.001	11.330	0.000	0.012	0.001	10.820	0.000
Vehicles	-0.220	0.044	-4.980	0.000	-0.281	0.054	-5.240	0.000
Self_emp	-0.162	0.081	-2.010	0.044	-0.305	0.099	-3.080	0.002
Hchg	-0.057	0.103	-0.550	0.579	-0.049	0.111	-0.450	0.656
Jchg	0.035	0.088	0.400	0.690	0.020	0.095	0.210	0.836
Mid income	0.056	0.073	0.760	0.446	0.061	0.086	0.720	0.474
High income	0.063	0.079	0.790	0.428	0.049	0.092	0.530	0.599
Oil dummy	0.417	0.054	7.760	0.000	0.443	0.057	7.730	0.000
Const	-1.627	0.119	-13.670	0.000	-1.575	0.140	-11.270	0.000
Rho					0.248	0.066	3.730	0.000
Theta					4.738	1.508	3.140	0.002
Obs	3932				3932
Log likelihood (0)	-2501.62				-2819.68
Log likelihood (c)	-1418.79				-2374.45
Chi-sq(df=15)	2165.65				890.46

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