[Limdep Nlogit List] Simulation Scenario

Muhammad Umair Khan m.umair.k104 at gmail.com
Tue Dec 17 15:33:35 AEDT 2019


Dear Bill,

Thank you very much for your reply. Can I also use the [+]1 scenario
command in case of dummy-coded variables? For example, I have a dummy-coded
variable, mild side-effects, coded as 0 (no side-effects) and 1 (mild
side-effects). Can I simulate a scenario "=[+]1 interpreting that there
would be one level increase in the severity of mild side-effects, that is,
the severity would increase from to mild to, let's say, moderate?

Thank you for your time.

Umair

On Thu, Dec 12, 2019 at 4:57 AM William Greene via Limdep <
limdep at mailman.sydney.edu.au> wrote:

> Umair.  Yes, it will change a 1 to 3.  It will also change a 2 to a 4.
> Regards
> Bill Greene
>
> On Tue, Dec 10, 2019 at 11:03 PM Muhammad Umair Khan via Limdep <
> limdep at mailman.sydney.edu.au> wrote:
>
> > Dear All,
> >
> > I am a newbie and just started using DCE and NLOGIT. I have three
> > alternatives; Medication A, Medication B, No medication. One of my
> > attributes is side-effects (SE) (0= no SE, 1= Mild SE, 2= Moderate SE, 3=
> > severe SE). I am trying to create a simulation scenario by checking the
> > probability of taking medication if the severity of side-effects change
> > from 1 to 3. I am using the following command:
> >
> > ;simulate
> > ;scenario:sidemi(*)=[+]2
> >
> > I am assuming that by using [+]2 NLOGIT would assume that I want to go
> two
> > levels up from 1, that is, from 1 to 3 (mild to severe). Am I correct
> here?
> > If no, what should be the best way? Furthermore the output I am getting
> is,
> > for example, the probability of people taking medication would reduce by
> > 10%. I am interesting in finding out if this 10% is statistically
> > significant? Any command through which we can get additional statistics
> > such as p-value?
> >
> > Thank you!
> >
> > Umair
> > _______________________________________________
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> > Limdep at mailman.sydney.edu.au
> > http://limdep.itls.usyd.edu.au
> >
> >
>
> --
> William Greene
> Department of Economics, emeritus
> Stern School of Business, New York University
> 44 West 4 St.
> New York, NY, 10012
> URL: https://protect-au.mimecast.com/s/1BsPCoVzGQigXmgJi1TdeZ?domain=people.stern.nyu.edu
> Email: wgreene at stern.nyu.edu
> Ph. +1.646.596.3296
> 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
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