[Limdep Nlogit List] Problems in Nested Multinomial Logit Model

[eramosp at tmb.net]

We're fitting a nested multinomial logit model. As a response variable we have three alternatives (public transport, car and motorcycle). The syntax of the model, which we use, is:
 
NLOGIT;Lhs=MODE,N_ALT,ALT; Wts=ELEV;
Choices=Public,Cotxe,Moto;
Tree=Travel[TP(Public),VP(Cotxe,Moto)];
Model:
U(Cotxe)=BC+BCC*CGCO+BCA*DIA+BCR*RISC/
U(Moto)=BMC*CGMO/
U(Public)=BP+BPC*CGTP+BPI*INT1;
PrintVC;Crosstab;
Describe;List;ShowTree;Effects:;Pwt;Means$
 
 
When we obtain the results after the execution of the model, we can see these two errors.
 
Line search does not improve fn. Exit iterations. Status=3
  Error   806: Line search does not improve fn. Exit iterations. Status=3
Function=  .11853876438D+06, at entry,  .11812641048D+06 at exit
  Error  1025: Failed to fit model. See earlier diagnostic.
 
 
Our first question is what's the meaning of these errors, and how can we solve them? 
 
 
According to the above, We're fitting the same model without weight. The syntax of the model, which we use, is (without weight):
 
NLOGIT;Lhs=MODE,N_ALT,ALT;
Choices=Public,Cotxe,Moto;
Tree=Travel[TP(Public),VP(Cotxe,Moto)];
Model:
U(Cotxe)=BC+BCC*CGCO+BCA*DIA+BCR*RISC/
U(Moto)=BMC*CGMO/
U(Public)=BP+BPC*CGTP+BPI*INT1;
PrintVC;Crosstab;
Describe;List;ShowTree;Effects:;Pwt;Means$
 
 

Now, the results in all parameters of Public transport are not significant.

 

+---------+--------------+----------------+--------+---------+

|Variable | Coefficient  | Standard Error |b/St.Er.|P[|Z|>z] |

+---------+--------------+----------------+--------+---------+

          Attributes in the Utility Functions (beta)

 BC             .66774715      .08919300     7.487   .0000

 BCC           -.07808303      .01075774    -7.258   .0000

 BCA          -2.51885645      .15944988   -15.797   .0000

 BCR           -.06917638      .00737276    -9.383   .0000

 BMC           -.13290383      .02072193    -6.414   .0000

 BP            -.76015104     158.734729     -.005   .9962

 BPC           -.03802969     7.94136259     -.005   .9962

 BPI           -.38789100     80.9993955     -.005   .9962

          IV parameters, tau(j|i,l),sigma(i|l),phi(l)

 TP            2.10762224     440.113628      .005   .9962

 VP            2.35485967      .12374261    19.030   .0000

 
 

We don't understand why, because if we apply the model the degree of success is very good

 
Could you help us?
 

 

 

Ester Ramos Pérez

 

Gabinet d'Estudis

Transports Metropolitans de Barcelona

Tf. 93 298 75 57

Fax: 93 298 71 21

E-mail: eramosp at tmb.net <mailto:eramosp at tmb.net> 

 

 



 
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