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. 2017 Jun 20;8:1011. doi: 10.3389/fpsyg.2017.01011

Table 5.

Results of ML models estimated with four alternatives, with panel effect.

Models ML5 ML5.1 ML5.2
Value T-test Value T-test
Constant Alt. HST1 ASC1
Constant Alt. BUS ASC2 −0.001 −0.01 1.25 −5.08 ***
Constant Alt. HST2 ASC3
Constant Alt. CAR ASC4 −4,2 −14.27 *** −0.128 −1.19
Total travel cost θP 0,007 2.68 *** 0 −0.65
Travel time θT −0,028 −8.27 *** −0,003 −1.19
Theta μ 8,43 1.19 123 1.19
Sigma1 2,89 15.39 *** 3.85 13.74 ***
Sigma2 0.062 0.052
ZEROSigma1 8,35 7,7 *** 14.8 6.87 ***
ZEROSigma2 0.004 0.59
R-Squared R2 0.56 0.574
Adjusted R-Squared R¯2 0.559 0.573
Log-likelihood I(θ) −1843,563 −1783,333
Sample N 6045 6045
Generation error distribution DRAW Halton 125 Halton 20
Willingness to pay VOT −3,929 24,309

Value is the estimated coefficient for each of the explanatory variables included in the model. T-test: * 90%, ** 95%, and

***

99% level of significance. It is the statistic that allows to contrast the null hypothesis of individual non-significance of each of the variables included in the model, (the contrast is performed through the level of significance associated with that statistic, so that if the level of significance is greater than 0.05 the variable is not statistically significant).