[Limdep Nlogit List] Error message in running Stated Choice Model

[David Hensher]

I suggest you just rune rpl as ;rpl?  without the '

= padist, fcov, herbcon, inputs, benefits, respage, respedu, hhmem, #caste, history, landsize, aginc, crops, otherinc, sources'

to see of there is an issue here with such a large number of interacting effect

David Henehr


On 29/03/2020 10:19 AM, Puri,Mahi wrote:
> Hello
>
> I am using NLOGIT (version 6) and trying to run Mixed (Random Parameter) Logit Model for stated choice experiment data. However, the model is giving an error and we are unable to proceed. Please advice.
>
> The code, description of data and error message are provided below:
>
>    1.
> The data is in the form of panel data (3 repetitions) where each respondent is given 3 choices (alt 1, alt 2, none). So, 600 respondents*3 choices*3 repetitions = 5400 rows of data
>    2.
> The attributes (land, year, payment) vary over choices.
>    3.
> Covariates/characteristics (padist, fcov, herbcon, inputs, benefits, respage, respedu, hhmem, #caste, history, landsize, aginc, crops, otherinc, sources) vary across respondents.
>    4.
> "land" and "year" are random parameters
>
> |->  NLOGIT; Lhs = choiced
>
>      ; Choices = alt1, alt2, none
>
>             ; model:
>
>      U(alt1) = b_land * land + b_year * year + b_payment * payment/
>
>      U(alt2) = b_land * land + b_year * year + b_payment * payment/
>
>      U(none) = asc + b_land * land + b_year * year + b_payment * payment
>
>             ; RPL = padist, fcov, herbcon, inputs, benefits, respage, respedu, hhmem, #caste, history, landsize, aginc, crops, otherinc, sources
>
>             ; Pts = 500; Halton; Pds = 3
>
>             ; Fcn = b_land(n), b_year(n)$
>
>
> -----------------------------------------------------------------------------
>
> Start values obtained using MNL model
>
> Dependent variable               Choice
>
> Log likelihood function     -1588.38429
>
> Estimation based on N =   1773, K =   4
>
> Inf.Cr.AIC  =   3184.8 AIC/N =    1.796
>
> ---------------------------------------
>
>              Log likelihood R-sqrd R2Adj
>
> Constants only  -1913.0514  .1697 .1602
>
> Note: R-sqrd = 1 - logL/Logl(constants)
>
> Warning:  Model does not contain a full
>
> set of ASCs. R-sqrd is problematic. Use
>
> model setup with ;RHS=one to get LogL0.
>
> ---------------------------------------
>
> Response data are given as ind. choices
>
> Number of obs.=  1800, skipped   27 obs
>
> --------+--------------------------------------------------------------------
>
>          |                  Standard            Prob.      95% Confidence
>
> CHOICED|  Coefficient       Error       z    |z|>Z*         Interval
>
> --------+--------------------------------------------------------------------
>
>    B_LAND|    -.04070***      .00181   -22.51  .0000     -.04425   -.03716
>
>    B_YEAR|    -.02464**       .01144    -2.15  .0313     -.04707   -.00221
>
> B_PAYMEN|     .01460***      .00225     6.50  .0000      .01020    .01900
>
>       ASC|   -1.59020***      .16806    -9.46  .0000    -1.91960  -1.26080
>
> --------+--------------------------------------------------------------------
>
> ***, **, * ==>   Significance at 1%, 5%, 10% level.
>
> Model was estimated on Mar 28, 2020 at 06:25:54 PM
>
> -----------------------------------------------------------------------------
>
>
>
> Error    805: Initial iterations cannot improve function.Status=3
>
> Function value was   .1588384288D+04 at entry -----------
>
>                       .3124865903D+05 at exit  -----------
>
> Error   1025: Failed to fit model. See earlier diagnostic.
>
>
> ----
> Mahi Puri
>
> PhD Candidate and Graduate Assistant
> Wildlife Ecology and Conservation
> University of Florida
>
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> Limdep site list
> Limdep at mailman.sydney.edu.au
> http://limdep.itls.usyd.edu.au
>
>    


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