 PROGRAM MLMNP

 MAXIMUM LIKELIHOOD ESTIMATION OF
 LINEAR-IN-PARAMETERS MULTINOMIAL PROBIT MODELS
 (BOUNDS NOT ENFORCED; STATISTICS ARE 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 0.48E-01 0.44E-01 0.7E-01    G   0.1E+02 0.3E+00 0.65E-01
     3    5 0.325E+02 0.12E-01 0.27E-01 0.2E+00    G   0.3E+00 0.6E+00 0.32E-01
     4    6 0.323E+02 0.77E-02 0.25E-01 0.2E+00    G   0.3E+00 0.6E+00 0.28E-01
     5    7 0.321E+02 0.72E-02 0.64E-02 0.5E-01    S   0.0E+00 0.2E+00 0.64E-02
     6    9 0.320E+02 0.49E-03 0.49E-03 0.4E-01    S   0.7E+00 0.1E+00 0.82E-03
     7   10 0.320E+02 0.50E-03 0.34E-03 0.5E-01    S   0.3E+00 0.1E+00 0.38E-03
     8   11 0.320E+02 0.60E-03 0.65E-03 0.1E+00    G   0.0E+00 0.2E+00 0.65E-03
     9   13 0.320E+02 0.53E-03 0.56E-03 0.9E-01   G-S  0.0E+00 0.2E+00 0.56E-03
    10   14 0.320E+02 0.20E-03 0.18E-03 0.1E-01    S   0.0E+00 0.3E-01 0.18E-03
    11   15 0.320E+02 0.24E-04 0.19E-04 0.2E-01    S   0.0E+00 0.2E-01 0.19E-04

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

 FUNCTION     0.319876E+02   RELDX        0.171E-01
 FUNC. EVALS      15         GRAD. EVALS      12
 PRELDF       0.187E-04      NPRELDF      0.187E-04

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

     1   -0.238858E+00     0.100E+01    -0.278E-01
     2   -0.229955E+00     0.100E+01     0.924E-02
     3   -0.250316E-02     0.100E+01     0.506E-02
     4    0.361257E+00     0.100E+01    -0.123E-01
     5    0.623308E+00     0.100E+01     0.708E-03
     6    0.124413E+00     0.100E+01     0.106E-01

    1 EXTRA FUNC. EVALS FOR COVARIANCE AND DIAGNOSTICS.
    1 EXTRA GRAD. EVALS FOR COVARIANCE AND DIAGNOSTICS.

 SQRT(RECIPROCAL CONDITION OF (J**T)*RHO''*J) = AT MOST  0.26E-01

 COVARIANCE = (J**T * RHO'' * J)**-1

 ROW  1     0.368E-01
 ROW  2     0.542E-01   0.388    
 ROW  3     0.521E-01   0.299       0.272    
 ROW  4     0.881E-01   0.422       0.356       0.623    
 ROW  5    -0.969E-01  -0.675E-01  -0.929E-01  -0.167       0.391    
 ROW  6    -0.252E-01  -0.343E-01  -0.321E-01  -0.595E-01   0.654E-01
            0.187E-01

 REGRESSION DIAGNOSTIC VECTOR NOT COMPUTED

 ASYMPTOTIC T-STATISTICS: 
  I                X(I)           T-STAT(I)       STD ERROR
  1  TTIME     -0.238858E+00   -0.124558E+01    0.191764E+00
  2  DBUS      -0.229955E+00   -0.369039E+00    0.623119E+00
  3  DSTREETC  -0.250316E-02   -0.480102E-02    0.521381E+00
  4  B21        0.361257E+00    0.457619E+00    0.789426E+00
  5  B22        0.623308E+00    0.996717E+00    0.625361E+00
  6  SigT       0.124413E+00    0.908617E+00    0.136925E+00

 NUMBER OF OBSERVATIONS (NOBS) =   50

 LOG-LIKELIHOOD L(EST)  = -0.319876E+02
 LOG-LIKELIHOOD L(0)    = -0.549306E+02
 -2[L(0) - L(EST)]:     =  0.458861E+02

 1 - L(EST)/L(0):       =  0.417673E+00
 1 - (L(EST)-NPAR)/L(0) =  0.308445E+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   
  -0.238858E+00 -0.100000E+03  0.100000E+03
 DBUS    
  -0.229955E+00 -0.100000E+03  0.100000E+03
 DSTREETC
  -0.250316E-02 -0.100000E+03  0.100000E+03
 B21     
   0.361257E+00 -0.100000E+03  0.100000E+03
 B22     
   0.623308E+00 -0.100000E+03  0.100000E+03
 SigT    
   0.124413E+00  0.100000E-03  0.100000E+03
