biogeme 2.5 [Dim 19 jui 2016 17:58:58 CEST]

Michel Bierlaire, EPFL

This file has automatically been generated.

Wed Jul 6 20:03:13 2016

Tip: click on the columns headers to sort a table [Credits]

Example of a logit model for a transportation mode choice with 3 alternatives:
- Train
- Car
- Swissmetro, an hypothetical high-speed train
Model: Logit
Number of estimated parameters: 4
Number of observations: 6768
Number of individuals: 6768
Null log likelihood: -6964.663
Init log likelihood: -6964.663
Final log likelihood: -5331.252
Likelihood ratio test: 3266.822
Rho-square: 0.235
Adjusted rho-square: 0.234
Final gradient norm: +4.554e-04
Diagnostic: Normal termination. Obj: 6.05545e-06 Const: 6.05545e-06
Iterations: 13
Run time: 00:00
Variance-covariance: from analytical hessian
Sample file: ../swissmetro.dat

Utility parameters

Name Value Std err t-testp-valueRobust Std err Robust t-testp-value
ASC_CAR-0.1550.0432-3.580.000.0582-2.660.01
ASC_SM0.00fixed
ASC_TRAIN-0.7010.0549-12.780.000.0826-8.490.00
B_COST-1.080.0518-20.910.000.0682-15.890.00
B_TIME-1.280.0569-22.460.000.104-12.260.00

Utility functions

IdNameAvailabilitySpecification
1A1_TRAINTRAIN_AV_SPASC_TRAIN * one + B_TIME * TRAIN_TT_SCALED + B_COST * TRAIN_COST_SCALED
2A2_SMSM_AVASC_SM * one + B_TIME * SM_TT_SCALED + B_COST * SM_COST_SCALED
3A3_CarCAR_AV_SPASC_CAR * one + B_TIME * CAR_TT_SCALED + B_COST * CAR_CO_SCALED

Correlation of coefficients

Coefficient1 Coefficient2CovarianceCorrelationt-testp-valueRob. cov.Rob. corr.Rob. t-testp-value
B_COST B_TIME0.0005500.1872.790.01 0.002200.3091.840.07 *
ASC_TRAIN B_TIME-0.00225-0.7225.560.00 -0.00760-0.8833.180.00
ASC_TRAIN B_COST8.22e-060.002895.080.00 -0.000831-0.1473.340.00
ASC_CAR B_TIME-0.00144-0.58512.570.00 -0.00482-0.7967.270.00
ASC_CAR B_COST0.0004850.21615.520.00 2.86e-050.0072210.400.00
ASC_CAR ASC_TRAIN0.001380.58011.850.00 0.003900.81211.160.00

Smallest singular value of the hessian: 5.90497