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RE: st: Simple slope analysis for non-linear models


From   Ebru Ozturk <ebru_0512@hotmail.com>
To   <statalist@hsphsun2.harvard.edu>
Subject   RE: st: Simple slope analysis for non-linear models
Date   Mon, 25 Mar 2013 12:09:12 +0300

Is the information still not enough to learn which commands I should use?

Ebru
>
> Thank you Maarten. I followed your suggestion and it seems that I want this derivative E( y |X, y ≥ 0). But the problem is in journals I use they never mention which Tobit intepretation they implement so that's why I am struggling.
>
> In my model, I have one interaction term (dummy X continuous-ranges from 0 to 10) and other Xs. I would like to plot the values of true interaction effect and implied z-statistic value at each observation. After doing that I would like to show the value and significance of X’s marginal effect at selected values of the moderator Z (low, mean and high).
>
> I use Stata 10.
>
> Thanks, Ebru
>
> ----------------------------------------
> > Date: Fri, 22 Mar 2013 12:23:58 +0100
> > Subject: Re: st: Simple slope analysis for non-linear models
> > From: maartenlbuis@gmail.com
> > To: statalist@hsphsun2.harvard.edu
> >
> > On Fri, Mar 22, 2013 at 12:01 PM, Ebru Ozturk wrote:
> > > I would like to say it again my question is about commands in Stata 10 not which interpretation I will do for Tobit.
> >
> > If you repeat a question then you should not be surprised that the
> > answer will remain the same:
> >
> > The command depends on the interpretation. If you want one type of
> > interpretation than you need to type one command, if you want another,
> > you will need to type another command. The command and the
> > interpretation cannot be separated. So in order to answer your
> > question we first need to know which interpretation you are looking
> > for.
> >
> > If you do not understand what I am asking of you, then take a look at
> > (Breen 1996, pp. 27--30) or (Long 1997, pp. 206--210).
> >
> > -- Maarten
> >
> > Richard Breen (1996) Regression Models: Censored, Sample Selected, or
> > Truncated Data. Thousand Oaks: Sage.
> >
> > J. Scott Long (1997) Regression Models for Categorical and Limited
> > Dependent Variables. Thousand Oaks: Sage.
> >
> > ---------------------------------
> > Maarten L. Buis
> > WZB
> > Reichpietschufer 50
> > 10785 Berlin
> > Germany
> >
> > http://www.maartenbuis.nl
> > ---------------------------------
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