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In the light of the "added flesh" to the problem, I would appreciate your
comments on the best way to proceed (for example, would just including the
total maize area as one of the independent variables be a sufficient
control)

Ronnie


-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu]On Behalf Of Todd Wagner
Sent: 14. juli 2003 18:21
To: statalist@hsphsun2.harvard.edu; statalist@hsphsun2.harvard.edu
Subject: Re: st: RE: RE: RE: proportion as a dependent variable


I think you are referring to the fractional logit (flogit).  These models
are discussed (briefly) in Wooldridge's book.  Also there is a talk by John
Mullahy, see http://lhcwww.soph.uab.edu/presentation.pdf.

It is a relatively simple model and can be run with Stata.

glm <dv>  <iv's> , link(logit) family(binomial) robust

As Mullahy's talk shows, it is critical to use the robust option.

Todd



At 04:56 PM 7/14/2003 +0100, Nick Cox wrote:
>Joao Pedro W. de Azevedo
> >
> > I've seen papers in which the authors used a tobit model
> > censored at 0 and 1
> > to model a proportion.
> > Would this be an acceptable approach?
> >
>
>Without knowing about the data or the underlying science,
>it is difficult to say. But it does not sound like a
>general solution to me.
>
>Nick
>n.j.cox@durham.ac.uk
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