 &INPUT
 NBLOCK  =           4,
 NVAR    =           3,
 NALT    =           3,
 NSTAT   = 2*0,           3, 5*0,           9,
 NCROSS  =           0,
 NVERS   =           1,
 NLIST   =           0
 /
 S1S5Listdef.txt                                                                
  
=====================================================================================
PART I. Presented statistics
  Model type                                           LOGIT      LOGIT      LOGIT   
  Name of the variant                                   LIN        BC1        BC4  
  Version number of the variant                           1          2          3
  Dependent variable in the variant                     S(i)       S(i)       S(i)   
=====================================================================================
---------------------
ALTERNATIVE  1 :  AIR       
---------------------
  ------------------
  N     =   NETWORKS                           
  ------------------
    PRICE (AIR)                            PRICE-A 
      Elast. of S(AIR     ) - at mean(X)               -1.9339    -0.4584    -3.8754
      T-statistic conditional on LAMBDA(X)           (  -4.92)  (  -2.47)  (  -6.99)
                                                     L 1  (GE)  L 1  (GE)  L 1  (GE)
    SPEED (AIR)                            SPEED-A 
      Elast. of S(AIR     ) - at mean(X)                0.9183     1.1340     0.4697
      T-statistic conditional on LAMBDA(X)           (   2.92)  (   5.72)  (   4.97)
                                                     L 1  (GE)  L 1  (GE)  L 2  (GE)
    DISTANCE (AIR)                         DIST-A  
      Elast. of S(AIR     ) - at mean(X)               -0.7010    -0.0545    -1.2003
      T-statistic conditional on LAMBDA(X)           (  -2.64)  (  -0.58)  (  -4.34)
                                                     L 1  (GE)  L 1  (GE)  L 3  (GE)
    FREQUENCY (AIR)                        FREQ-A  
      Elast. of S(AIR     ) - at mean(X)                0.2722     0.0606     0.0594
      T-statistic conditional on LAMBDA(X)           (   4.50)  (   6.67)  (   6.99)
                                                     L 1  (GE)  L 1  (GE)  L 4  (GE)
  -------------------
  ET    =   ET CETERA                          
  -------------------
    REGRESSION CONSTANT                    CONSTANT
      T-statistic conditional on LAMBDA(X)           (   5.47)  (   5.68)  (   5.78)
                                                        (SP)       (SP)       (SP)  
-------------------------------------------------------------------------------------
----------------------
ALTERNATIVE  2 :  RAIL      
----------------------
  ------------------
  N     =   NETWORKS                           
  ------------------
    PRICE (RAIL)                           PRICE-R 
      Elast. of S(RAIL    ) - at mean(X)               -0.8786    -0.0306   -14.6745
      T-statistic conditional on LAMBDA(X)           (  -4.92)  (  -2.47)  (  -6.99)
                                                     L 1  (GE)  L 1  (GE)  L 1  (GE)
    SPEED (RAIL)                           SPEED-R 
      Elast. of S(RAIL    ) - at mean(X)                0.5922     0.2951     0.0544
      T-statistic conditional on LAMBDA(X)           (   2.92)  (   5.72)  (   4.97)
                                                     L 1  (GE)  L 1  (GE)  L 2  (GE)
    DISTANCE (RAIL)                        DIST-R  
      Elast. of S(RAIL    ) - at mean(X)               -0.6046    -0.0438    -1.0529
      T-statistic conditional on LAMBDA(X)           (  -2.64)  (  -0.58)  (  -4.34)
                                                     L 1  (GE)  L 1  (GE)  L 3  (GE)
    FREQUENCY (RAIL)                       FREQ-R  
      Elast. of S(RAIL    ) - at mean(X)                0.4565     0.6430     0.6444
      T-statistic conditional on LAMBDA(X)           (   4.50)  (   6.67)  (   6.99)
                                                     L 1  (GE)  L 1  (GE)  L 4  (GE)
  -----------------------
  S     =   SOCIOECONOMIC                      
  -----------------------
    PROP. OF POPULATION (AGE 0-14)         POP0014 
      Elast. of S(RAIL    ) - at mean(X)               -5.9690    -5.9649    -5.2258
      T-statistic conditional on LAMBDA(X)           (  -4.39)  (  -4.66)  (  -3.83)
                                                        (SP)       (SP)       (SP)  
    PROP. OF POPULATION (AGE 50-64)        POP5064 
      Elast. of S(RAIL    ) - at mean(X)                0.2348    -0.1154    -0.2212
      T-statistic conditional on LAMBDA(X)           (   5.90)  (   5.55)  (   4.07)
                                                        (SP)       (SP)       (SP)  
    PROPORTION OF MEN                      POPMALE 
      Elast. of S(RAIL    ) - at mean(X)                7.6998     7.3286     7.4425
      T-statistic conditional on LAMBDA(X)           (   4.72)  (   5.09)  (   4.65)
                                                        (SP)       (SP)       (SP)  
    PROPORTION OF EMPLOYEES (TOTAL)        TOTEMPL 
      Elast. of S(RAIL    ) - at mean(X)                0.9251     0.8136     0.8445
      T-statistic conditional on LAMBDA(X)           (   2.70)  (   3.29)  (   2.87)
                                                        (SP)       (SP)       (SP)  
  ----------------------
  T     =   TRIP PURPOSE                       
  ----------------------
    PROPORTION OF BUSINESS TRIPS           BUSINESS
      Elast. of S(RAIL    ) - at mean(X)               -0.5222    -0.5057    -0.4408
      T-statistic conditional on LAMBDA(X)           (  -9.71)  ( -10.05)  ( -10.98)
                                                        (SP)       (SP)       (SP)  
    PROPORTION OF PRIVATE TRIPS            PRIVATE 
      Elast. of S(RAIL    ) - at mean(X)               -1.2875    -1.1879    -0.7966
      T-statistic conditional on LAMBDA(X)           (  -0.59)  (   1.36)  (   0.16)
                                                        (SP)       (SP)       (SP)  
  -------------------
  ET    =   ET CETERA                          
  -------------------
    REGRESSION CONSTANT                    CONSTANT
      T-statistic conditional on LAMBDA(X)           (  -0.39)  (  -0.13)  (  -0.94)
                                                        (SP)       (SP)       (SP)  
-------------------------------------------------------------------------------------
---------------------
ALTERNATIVE  3 :  CAR       
---------------------
  ------------------
  N     =   NETWORKS                           
  ------------------
    PRICE (CAR)                            PRICE-C 
      Elast. of S(CAR     ) - at mean(X)               -0.2776    -0.0099    -3.5560
      T-statistic conditional on LAMBDA(X)           (  -4.92)  (  -2.47)  (  -6.99)
                                                     L 1  (GE)  L 1  (GE)  L 1  (GE)
    SPEED (CAR)                            SPEED-C 
      Elast. of S(CAR     ) - at mean(X)                0.1976     0.1179     0.0263
      T-statistic conditional on LAMBDA(X)           (   2.92)  (   5.72)  (   4.97)
                                                     L 1  (GE)  L 1  (GE)  L 2  (GE)
    DISTANCE (CAR)                         DIST-C  
      Elast. of S(CAR     ) - at mean(X)               -0.1630    -0.0076    -0.2835
      T-statistic conditional on LAMBDA(X)           (  -2.64)  (  -0.58)  (  -4.34)
                                                     L 1  (GE)  L 1  (GE)  L 3  (GE)
  -----------------------
  S     =   SOCIOECONOMIC                      
  -----------------------
    PROP. OF POPULATION (AGE 0-14)         POP0014 
      Elast. of S(CAR     ) - at mean(X)                1.4576     1.3172     1.1801
      T-statistic conditional on LAMBDA(X)           (   1.82)  (   1.49)  (   1.97)
                                                        (SP)       (SP)       (SP)  
    PROP. OF POPULATION (AGE 50-64)        POP5064 
      Elast. of S(CAR     ) - at mean(X)                0.8329     0.7458     0.4635
      T-statistic conditional on LAMBDA(X)           (   7.70)  (   7.78)  (   5.86)
                                                        (SP)       (SP)       (SP)  
    PROPORTION OF MEN                      POPMALE 
      Elast. of S(CAR     ) - at mean(X)               -0.9153    -0.7319    -1.0748
      T-statistic conditional on LAMBDA(X)           (   3.06)  (   3.53)  (   2.79)
                                                        (SP)       (SP)       (SP)  
    PROPORTION OF EMPLOYEES (TOTAL)        TOTEMPL 
      Elast. of S(CAR     ) - at mean(X)               -0.1748    -0.1091    -0.1506
      T-statistic conditional on LAMBDA(X)           (   0.74)  (   1.82)  (   1.00)
                                                        (SP)       (SP)       (SP)  
  ----------------------
  T     =   TRIP PURPOSE                       
  ----------------------
    PROPORTION OF BUSINESS TRIPS           BUSINESS
      Elast. of S(CAR     ) - at mean(X)               -0.0100    -0.0077    -0.0099
      T-statistic conditional on LAMBDA(X)           (  -9.12)  (  -9.43)  ( -10.74)
                                                        (SP)       (SP)       (SP)  
    PROPORTION OF PRIVATE TRIPS            PRIVATE 
      Elast. of S(CAR     ) - at mean(X)                0.4089     0.3913     0.2271
      T-statistic conditional on LAMBDA(X)           (   5.47)  (   7.90)  (   3.68)
                                                        (SP)       (SP)       (SP)  
=====================================================================================
PART II. Parameters
         T-statistic unconditional (=0) [=1]
  Model type                                           LOGIT      LOGIT      LOGIT   
  Name of the variant                                   LIN        BC1        BC4  
  Version number of the variant                           1          2          3
  Dependent variable in the variant                     S(i)       S(i)       S(i)   
=====================================================================================
  -----------------------
  BOX-COX TRANSFORMATIONS
  -----------------------

    LAMBDA(X)  1                                        1.0000     3.8807    -2.1997
                                                                (   3.42)  (  -4.10)  
                                                                [   2.54]  [  -5.96]  

    LAMBDA(X)  2                                                              6.3875
                                                                           (   2.88)  
                                                                           [   2.43]  

    LAMBDA(X)  3                                                             -0.1548
                                                                           (  -0.25)  
                                                                           [  -1.89]  

    LAMBDA(X)  4                                                              3.9384
                                                                           (   1.31)  
                                                                           [   0.98]  
=====================================================================================
PART III. General statistics
  Model type                                           LOGIT      LOGIT      LOGIT   
  Name of the variant                                   LIN        BC1        BC4  
  Version number of the variant                           1          2          3
  Dependent variable in the variant                     S(i)       S(i)       S(i)   
=====================================================================================
  LOG-LIKELIHOOD                                       -709.96    -703.39    -683.90
  DEGREES OF FREEDOM                                        16         17         20

  RHO-SQUARED - OVERALL                                 0.5801     0.5828     0.6088
         .Alternative  1 : AIR                          0.6545     0.6312     0.6775
         .Alternative  2 : RAIL                         0.4924     0.5153     0.5317
         .Alternative  3 : CAR                          0.6142     0.6125     0.6376

  MEAN SHARES OBSERVED / ESTIMATED
         .Alternative  1 : AIR                       0.11/0.10  0.11/0.10  0.11/0.10
         .Alternative  2 : RAIL                      0.22/0.20  0.22/0.20  0.22/0.20
         .Alternative  3 : CAR                       0.67/0.71  0.67/0.70  0.67/0.70

  SAMPLE - NUMBER OF ALTERNATIVES                            3          3          3
         - NUMBER OF OBSERVATIONS                          286        286        286
         - AVAILABLE OBSERVATIONS:
         .Alternative  1 : AIR                             286        286        286
         .Alternative  2 : RAIL                            286        286        286
         .Alternative  3 : CAR                             286        286        286

  TOTAL NUMBER OF FIXED OR ESTIMATED PARAMETERS:
         - BETA .Estimated                                  16         16         16
                .CONSTANTS                                   2          2          2
         - LAMBDA(X)
                .Fixed (always in G-DOGIT)                   1          0          0
                .Estimated                                   0          1          4
         - EXTRA PARAMETERS
                .Fixed                                       0          0          0
                .Estimated                                   0          0          0
         - TOTAL
                .Fixed                                       1          0          0
                .Estimated                                  18         19         22

  COVARIANCE MATRIX SIGMA                                 FULL       FULL       FULL
=====================================================================================
