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

Michel Bierlaire, EPFL

This file has automatically been generated.

Wed Jul 6 20:03:16 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
Nonlinear transforms of the variables are illustrated
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: -5423.299
Likelihood ratio test: 3082.728
Rho-square: 0.221
Adjusted rho-square: 0.221
Final gradient norm: +1.553e-03
Diagnostic: Normal termination. Obj: 6.05545e-06 Const: 6.05545e-06
Iterations: 13
Run time: 00:01
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-0.2740.0457-6.000.000.0628-4.370.00
ASC_SM0.00fixed
ASC_TRAIN-0.8510.0560-15.210.000.0843-10.100.00
B_COST-1.040.0595-17.430.000.0661-15.680.00
B_TIME-1.070.0547-19.590.000.0970-11.050.00

Utility functions

IdNameAvailabilitySpecification
1A1_TRAINTRAIN_AV_SPASC_TRAIN * one + B_TIME * TRAIN_TT_SCALED + B_COST * LOG_TRAIN_COST
2A2_SMSM_AVASC_SM * one + B_TIME * SM_TT_SCALED + B_COST * LOG_SM_COST
3A3_CarCAR_AV_SPASC_CAR * one + B_TIME * CAR_TT_SCALED + B_COST * LOG_CAR_COST

Correlation of coefficients

Coefficient1 Coefficient2CovarianceCorrelationt-testp-valueRob. cov.Rob. corr.Rob. t-testp-value
B_COST B_TIME-9.40e-05-0.02890.430.67 *-0.000791-0.1230.280.78 *
ASC_TRAIN B_TIME-0.00223-0.7272.140.03 -0.00721-0.8821.250.21 *
ASC_TRAIN B_COST0.0006710.2022.540.01 0.001600.2872.030.04
ASC_CAR B_TIME-0.00150-0.6028.860.00 -0.00496-0.8145.220.00
ASC_CAR B_COST0.001140.42013.180.00 0.001610.38910.690.00
ASC_CAR ASC_TRAIN0.001560.61112.600.00 0.004400.83112.170.00

Smallest singular value of the hessian: 5.9745