 PROGRAM MLMNPB

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


  NUMBER OF OBSERVATIONS................. 567
  NUMBER OF ALTERNATIVES PER CHOICE SET..   3
  EQUAL WEIGHTS FOR ALL OBSERVATIONS
  NO INTEGER EXPLANATORY VARIABLES
  NUMBER OF REAL DATA VALUES PER OBS.....  27
  OUTPUT UNIT............................   6

  COVARIANCE TYPE = INVERSE GAUSS-NEWTON HESSIAN
  REGRESSION DIAGNOSTICS REQUESTED

  *** LEAVE-BLOCK-OUT DIAGNOSTICS REQUESTED  ***
 
  DIAGNOSTICS ON X-VECTOR REQUESTED
  NUMBER OF BLOCKS:    21
  FIXED BLOCK SIZE:    27

  *** NOTE:  NALT SET EQUAL TO ICSET ***
  NUMBER OF NOMINAL VARIABLES............   3
  NUMBER OF ATTRIBUTES PER ALTERNATIVE...   9
  NO NOMINAL DUMMIES
  IID ERROR TERMS
  NO RANDOM TASTE VARIATION

  NUMBER OF MODEL PARAMETERS.............   9

 INITIAL PARAMETER VECTOR AND BOUNDS: 
  1 RENT       -0.371499E-02 -0.100000E+03  0.100000E+03
  2 LocD1       0.473069E-01 -0.100000E+03  0.100000E+03
  3 LocD2      -0.443496E+00 -0.100000E+03  0.100000E+03
  4 ConD1       0.734521E+00 -0.100000E+03  0.100000E+03
  5 ConD2       0.648764E+00 -0.100000E+03  0.100000E+03
  6 BedD1      -0.125812E+01 -0.100000E+03  0.100000E+03
  7 BedD2      -0.641347E+00 -0.100000E+03  0.100000E+03
  8 Htype       0.429202E+00 -0.100000E+03  0.100000E+03
  9 CDum        0.958062E+00 -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    -0.371499E-02     0.100E+01
     2     0.473069E-01     0.100E+01
     3    -0.443496E+00     0.100E+01
     4     0.734521E+00     0.100E+01
     5     0.648764E+00     0.100E+01
     6    -0.125812E+01     0.100E+01
     7    -0.641347E+00     0.100E+01
     8     0.429202E+00     0.100E+01
     9     0.958062E+00     0.100E+01

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

     0    1 0.418E+03
     1    2 0.415E+03 0.65E-02 0.88E-02 0.1E+00    G   0.0E+00 0.4E+00 0.88E-02
     2    3 0.415E+03 0.36E-03 0.40E-03 0.2E-01    G   0.0E+00 0.8E-01 0.40E-03
     3    4 0.415E+03 0.25E-04 0.22E-04 0.4E-02    G   0.0E+00 0.1E-01 0.22E-04

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

 FUNCTION     0.415003E+03   RELDX        0.392E-02
 FUNC. EVALS       4         GRAD. EVALS       4
 PRELDF       0.221E-04      NPRELDF      0.221E-04

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

     1   -0.420996E-02     0.100E+01     0.532E+02
     2    0.201520E-02     0.100E+01     0.358E-02
     3   -0.416789E+00     0.100E+01    -0.286E-01
     4    0.807621E+00     0.100E+01    -0.355E-01
     5    0.742611E+00     0.100E+01     0.179E-01
     6   -0.157109E+01     0.100E+01    -0.235E+00
     7   -0.707811E+00     0.100E+01     0.201E+00
     8    0.546237E+00     0.100E+01    -0.905E-01
     9    0.102821E+01     0.100E+01     0.193E+00

 NUMBER OF OBSERVATIONS (NOBS) =  567

 LOG-LIKELIHOOD L(EST)  = -0.415003E+03
 LOG-LIKELIHOOD L(0)    = -0.622913E+03
 -2[L(0) - L(EST)]:     =  0.415821E+03

 1 - L(EST)/L(0):       =  0.333771E+00
 1 - (L(EST)-NPAR)/L(0) =  0.319323E+00

 (FIXED CHOICE SET SIZE)

 AGGREGATE CHOICES AND MARKET SHARES: 
   1     121.000  0.2134
   2     133.000  0.2346
   3     313.000  0.5520

 STATISTICS FOR CONSTANTS-ONLY MODEL:
    LOG-LIKELIHOOD L(C)    = -0.565715E+03
    -2[L(C) - L(EST)]:     =  0.301424E+03



 OUTPUT FOR CONVENIENT RESTART:
 RENT    
  -0.420996E-02 -0.100000E+03  0.100000E+03
 LocD1   
   0.201520E-02 -0.100000E+03  0.100000E+03
 LocD2   
  -0.416789E+00 -0.100000E+03  0.100000E+03
 ConD1   
   0.807621E+00 -0.100000E+03  0.100000E+03
 ConD2   
   0.742611E+00 -0.100000E+03  0.100000E+03
 BedD1   
  -0.157109E+01 -0.100000E+03  0.100000E+03
 BedD2   
  -0.707811E+00 -0.100000E+03  0.100000E+03
 Htype   
   0.546237E+00 -0.100000E+03  0.100000E+03
 CDum    
   0.102821E+01 -0.100000E+03  0.100000E+03
