[Limdep Nlogit List] WTp estimation

Wed Jul 25 02:02:58 AEST 2018

Yes you can.  After estimation, double click on the B matrix and see what
is in there.
Match it up against your output.  Then submit B and VARB as the parameters
and
variance for the command.
/B. Greene

On Tue, Jul 24, 2018 at 11:52 AM, medard kakuru via Limdep <
limdep at mailman.sydney.edu.au> wrote:

> So i can't estimate wtp using the Wald command if one of the coeffecients
> is nonrandom. I also get the same error message when I apply the wald
> command after estimating a gmxl in utility space. Where could I be going
> wrong?
>
> Thanks in advance.
> Medard
>
> On Tue, Jul 24, 2018, 17:51 William Greene via Limdep <
> limdep at mailman.sydney.edu.au> wrote:
>
> > exactly right.  I agree
> > Bill Greene
> >
> > On Tue, Jul 24, 2018 at 10:01 AM, Fredrik Carlsson <
> > fredrik.carlsson at economics.gu.se> wrote:
> >
> > > You have one less parameter, so reduce the number of parameters in the
> > > labels part of the Wald-command
> > >
> > > Fredrik
> > >
> > > Skickat från min iPhone
> > >
> > > > 24 juli 2018 kl. 15:53 skrev medard kakuru via Limdep <
> > > limdep at mailman.sydney.edu.au>:
> > > >
> > > > Thanks Bill.
> > > > I am facing another challenge. I use the wald command to estimate wtp
> > > after
> > > > estimating a mixed logit with all non-attribute coefficients given a
> > > normal
> > > > distribution and the syntax works. Since the standard deviation for
> one
> > > > attribute was not significant, I re-specify the model and make that
> > > > attribute non-random. Running the wald command after this
> specification
> > > > gives me an error message that "wrong number of start values - need
> one
> > > for
> > > > each label". What could be the problem?
> > > >
> > > > Thanks.
> > > >
> > > > Medard
> > > >
> > > > On Sun, Jul 22, 2018 at 12:35 AM, William Greene via Limdep <
> > > > limdep at mailman.sydney.edu.au> wrote:
> > > >
> > > >> Medard.  WTP for all variants of the RP logit model is described in
> > > >> Chapter N29.  That would be good for the S-MNL and GMXL.  I'm
> > > >> not sure what the G-MNL model is.  WTP is generally a ratio of
> > > >> coefficients, though in RP models, the WTP is computed for each
> > > >> individual.  P values for LR statistics are generally not computed.
> > > >> I'm not sure what the P-value at 5% is.  You can use CALC to look
> > > >> up critical values for chi-squared if you wish.  The function
> > > >> CTB(prob,df) returns the critical value for probability prob with
> > > >> degrees of freedom df.
> > > >> Regards
> > > >> /Bill Greene
> > > >>
> > > >> On Fri, Jul 20, 2018 at 5:22 AM, medard kakuru via Limdep <
> > > >> limdep at mailman.sydney.edu.au> wrote:
> > > >>
> > > >>> Dear All,
> > > >>> Kindly help me with the syntax for wtp in preference space. I am
> > > running
> > > >>> S-MNL, G-MNL and the GMXL models and want to compare WTP estimates
> > for
> > > >> the
> > > >>> three models. I also want to compare these estimates with those
> > > obtained
> > > >>> from wtp-space model estimations. I understand that for a simple
> MXL
> > > >> model,
> > > >>> the syntax for wtp is just a ratio of attribute and cost
> > coefficients.
> > > Is
> > > >>> it the case with the models I am estimating? I expected to find the
> > > >> syntax
> > > >>> in the Nlogit manual (section N33) but it's not listed.
> > > >>>
> > > >>>
> > > >>> Secondly, I have seen the syntax for carrying out a loglikelihood
> > ratio
> > > >>> test and the syntax gives the LR statistic. How do i go further to
> > get
> > > a
> > > >>> p-value (say at 5%) for the statistic?
> > > >>>
> > > >>> Thanks in advance.
> > > >>>
> > > >>> Regards, Medard
> > > >>> _______________________________________________
> > > >>> Limdep site list
> > > >>> Limdep at mailman.sydney.edu.au
> > > >>> http://limdep.itls.usyd.edu.au
> > > >>>
> > > >>>
> > > >>
> > > >>
> > > >> --
> > > >> William Greene
> > > >> Department of Economics
> > > >> Stern School of Business, New York University
> > > >> 44 West 4 St., 7-90
> > > >> New York, NY, 10012
> > > >> URL: https://protect-au.mimecast.com/s/RicGCGvmB5ijRVl3UKGXDa?domain=people.stern.nyu.edu
> > > >> Email: wgreene at stern.nyu.edu
> > > >> Ph. +1.212.998.0876
> > > >> Editor in Chief: Journal of Productivity Analysis
> > > >> Editor in Chief: Foundations and Trends in Econometrics
> > > >> Associate Editor: Economics Letters
> > > >> Associate Editor: Journal of Business and Economic Statistics
> > > >> Associate Editor: Journal of Choice Modeling
> > > >> _______________________________________________
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> > > >> http://limdep.itls.usyd.edu.au
> > > >>
> > > >>
> > > > _______________________________________________
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> > > >
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> > >
> > >
> >
> >
> > --
> > William Greene
> > Department of Economics
> > Stern School of Business, New York University
> > 44 West 4 St., 7-90
> > New York, NY, 10012
> > URL: https://protect-au.mimecast.com/s/RicGCGvmB5ijRVl3UKGXDa?domain=people.stern.nyu.edu
> > Email: wgreene at stern.nyu.edu
> > Ph. +1.212.998.0876
> > Editor in Chief: Journal of Productivity Analysis
> > Editor in Chief: Foundations and Trends in Econometrics
> > Associate Editor: Economics Letters
> > Associate Editor: Journal of Business and Economic Statistics
> > Associate Editor: Journal of Choice Modeling
> > _______________________________________________
> > Limdep site list
> > Limdep at mailman.sydney.edu.au
> > http://limdep.itls.usyd.edu.au
> >
> >
> _______________________________________________
> Limdep site list
> Limdep at mailman.sydney.edu.au
> http://limdep.itls.usyd.edu.au
>
>

-- 
William Greene
Department of Economics
Stern School of Business, New York University
44 West 4 St., 7-90
New York, NY, 10012
URL: https://protect-au.mimecast.com/s/RicGCGvmB5ijRVl3UKGXDa?domain=people.stern.nyu.edu
Email: wgreene at stern.nyu.edu
Ph. +1.212.998.0876
Editor in Chief: Journal of Productivity Analysis
Editor in Chief: Foundations and Trends in Econometrics
Associate Editor: Economics Letters
Associate Editor: Journal of Business and Economic Statistics
Associate Editor: Journal of Choice Modeling