BTS | Table 10 - Tobit Models by Metropolitan Areas: 1996/97

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BTS Home > Publications > Journal of Transportation and Statistics > Volume 8 Number 1 > Paper 4

Table 10 - Tobit Models by Metropolitan Areas: 1996/97

Excel | CSV

Variable	Haifa		Tel Aviv metropolitan area
Variable	Coefficient	t statistic	Coefficient	t statistic
Regression intercept	3.00	36.84	3.04	68.47
Age
8-13	0.62	3.69	0.46	5.03
14-17	1.53	8.93	0.85	9.14
18-29	1.02	8.83	0.76	12.14
30-64	1.07	12.10	0.68	14.20
65+	0.00	–	0.00	–
Number of cars per household
0	−1.20	−12.68	−1.07	−20.42
1	−0.52	−6.09	−0.47	−10.40
2+	0.00	–	0.00	–
Drivers's license
No license	−1.08	−12.89	−0.97	−21.38
License	0.00	–	0.00	–
Employed
Not employed	−1.36	−17.25	−1.27	−29.96
Employed	0.00	–	0.00	–
Household status
Head (0 = no)	−0.56	−7.42	−0.48	−11.66
Head (1 = yes)	0.00	–	0.00	–
Education
0 years	0.50	4.21	0.21	3.14
1-8 years	−0.77	−7.27	−0.60	−10.06
9-12 years	−0.12	−1.34	−0.19	−4.21
13+ years	0.00	–	0.00	–
Standard error of U	2.85		2.67
Overall pseudo R ^2*	0.23		0.21
Number of observations used	5,026		15,689
Log likelihood	−9,060.98		−28,376.08
Log likelihood constant only	−9,806.57		−30,515.70

* Pseudo R ² is a measure of goodness of fit similar to R ² in ordinary least squares. The residuals are calculated based on the maximum likelihood estimators. For details of its calculation see the EasyReg manual, available at http://econ.la.psu.edu/~hbierens/EasyRegTours/TOBIT_Tourfiles/TOBIT.PDF.