 PROGRAM MLMNPB

 MAXIMUM LIKELIHOOD ESTIMATION OF
 LINEAR-IN-PARAMETERS MULTINOMIAL PROBIT MODELS
 (BOUNDS ARE ENFORCED; STATISTICS ARE NOT COMPUTED)


  NUMBER OF OBSERVATIONS.................  50
  NUMBER OF ALTERNATIVES PER CHOICE SET..   3
  EQUAL WEIGHTS FOR ALL OBSERVATIONS
  NO INTEGER EXPLANATORY VARIABLES
  NUMBER OF REAL DATA VALUES PER OBS.....   3
  OUTPUT UNIT............................   6

  COVARIANCE TYPE = INVERSE GAUSS-NEWTON HESSIAN
  NO REGRESSION DIAGNOSTICS REQUESTED
 
  *** NOTE:  NALT SET EQUAL TO ICSET ***
  NUMBER OF NOMINAL VARIABLES............   3
  NUMBER OF ATTRIBUTES PER ALTERNATIVE...   1
  NOMINAL DUMMIES USED
  CORRELATED ERROR TERMS
  UNCORRELATED RANDOM TASTE VARIATION

  NUMBER OF MODEL PARAMETERS.............   6

 INITIAL PARAMETER VECTOR AND BOUNDS: 
  1 TTIME       0.000000E+00 -0.100000E+03  0.100000E+03
  2 DBUS        0.000000E+00 -0.100000E+03  0.100000E+03
  3 DSTREETC    0.000000E+00 -0.100000E+03  0.100000E+03
  4 B21         0.100000E+01 -0.100000E+03  0.100000E+03
  5 B22         0.100000E+01 -0.100000E+03  0.100000E+03
  6 SigT        0.100000E+01  0.100000E-03  0.100000E+03

 NONDEFAULT VALUES....

 DTYPE..... IV(16) =  0
 DINIT..... V(38) =  0.1000000E+01

     I     INITIAL X(I)        D(I)

     1     0.000000E+00     0.100E+01
     2     0.000000E+00     0.100E+01
     3     0.000000E+00     0.100E+01
     4     0.100000E+01     0.100E+01
     5     0.100000E+01     0.100E+01
     6     0.100000E+01     0.100E+01

    IT   NF      F       RELDF   PRELDF   RELDX  MODEL  STPPAR  D*STEP  NPRELDF

     0    1 0.535E+02
     1    2 0.346E+02 0.35E+00 0.30E+00 0.4E+00    G   0.6E+01 0.1E+01 0.33E+00
     2    4 0.329E+02 0.49E-01 0.45E-01 0.8E-01    G   0.1E+02 0.3E+00 0.65E-01
     3    5 0.325E+02 0.11E-01 0.26E-01 0.2E+00    G   0.3E+00 0.6E+00 0.31E-01
     4    6 0.323E+02 0.70E-02 0.24E-01 0.2E+00    G   0.3E+00 0.6E+00 0.28E-01
     5    7 0.321E+02 0.78E-02 0.69E-02 0.4E-01    S   0.0E+00 0.1E+00 0.69E-02
     6    8 0.321E+02 0.13E-03 0.52E-03 0.9E-01    S   0.0E+00 0.3E+00 0.52E-03
     7    9 0.320E+02 0.87E-03 0.61E-03 0.5E-01    S   0.0E+00 0.1E+00 0.61E-03
     8   10 0.320E+02 0.63E-03 0.51E-03 0.1E+00    G   0.0E+00 0.2E+00 0.51E-03
     9   12 0.320E+02 0.26E-03 0.36E-03 0.4E-01    G   0.1E+01 0.8E-01 0.52E-03
    10   13 0.320E+02 0.14E-03 0.13E-03 0.4E-01    G   0.0E+00 0.6E-01 0.13E-03
    11   14 0.320E+02 0.30E-04 0.65E-04 0.2E-01    G   0.0E+00 0.5E-01 0.65E-04
    12   15 0.320E+02 0.39E-04 0.36E-04 0.1E-01    S   0.0E+00 0.2E-01 0.36E-04

 ***** RELATIVE FUNCTION CONVERGENCE *****

 FUNCTION     0.319876E+02   RELDX        0.127E-01
 FUNC. EVALS      15         GRAD. EVALS      13
 PRELDF       0.359E-04      NPRELDF      0.359E-04

     I      FINAL X(I)        D(I)          G(I)

     1   -0.238974E+00     0.100E+01     0.982E-01
     2   -0.230724E+00     0.100E+01     0.179E-01
     3   -0.391020E-02     0.100E+01    -0.286E-01
     4    0.361005E+00     0.100E+01    -0.732E-02
     5    0.625794E+00     0.100E+01     0.300E-01
     6    0.124460E+00     0.100E+01     0.468E-01

 NUMBER OF OBSERVATIONS (NOBS) =   50

 LOG-LIKELIHOOD L(EST)  = -0.319876E+02
 LOG-LIKELIHOOD L(0)    = -0.549306E+02
 -2[L(0) - L(EST)]:     =  0.458860E+02

 1 - L(EST)/L(0):       =  0.417673E+00
 1 - (L(EST)-NPAR)/L(0) =  0.308444E+00

 (FIXED CHOICE SET SIZE)

 AGGREGATE CHOICES AND MARKET SHARES: 
   1      14.000  0.2800
   2      29.000  0.5800
   3       7.000  0.1400

 STATISTICS FOR CONSTANTS-ONLY MODEL:
    LOG-LIKELIHOOD L(C)    = -0.473814E+02
    -2[L(C) - L(EST)]:     =  0.307876E+02



 OUTPUT FOR CONVENIENT RESTART:
 TTIME   
  -0.238974E+00 -0.100000E+03  0.100000E+03
 DBUS    
  -0.230724E+00 -0.100000E+03  0.100000E+03
 DSTREETC
  -0.391020E-02 -0.100000E+03  0.100000E+03
 B21     
   0.361005E+00 -0.100000E+03  0.100000E+03
 B22     
   0.625794E+00 -0.100000E+03  0.100000E+03
 SigT    
   0.124460E+00  0.100000E-03  0.100000E+03
