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Re: st: Pseudo r2 of oprobit


From   Richard Williams <richardwilliams.ndu@gmail.com>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   Re: st: Pseudo r2 of oprobit
Date   Thu, 28 Feb 2013 14:50:41 -0500

He is using pweights with both approaches though, right? And the
coefficients will come out the same, I believe. Actually, I have
wondered much the same thing. When using pw with regular commands, is
Stata giving you some statistics it shouldn't? Or conversely, when
using svy, is it sometimes holding back on reporting statistics that
are legitimate? I am not sure why pseudo r2 would be legitimate with
one of the approaches but not the other.

Sent from my iPad

On Feb 28, 2013, at 2:34 PM, Nick Cox <njcoxstata@gmail.com> wrote:

> It's the other way round.
>
> If you can explain to an audience why ignoring pweights makes no
> difference to a measure, then the same measure will do equally well in
> situations with and without pweights.
>
> But if predictions change when you take account of pweights, you can't
> expect pseudo-R2 to remain unchanged.
>
> Better to summarize lack of fit in the same way for both models, e.g.
> by looking at residuals or predictions directly.
>
> P.S. this is an international list. It's only the same time of day for
> us if we have the same longitude as you.
>
> On Thu, Feb 28, 2013 at 7:16 PM, Ben Dandi <ben_dandi@hotmail.com> wrote:
>
>> Good evening,
>> Can I use the pseudo R2 that I get from oprobit [pw=xyz] to be the pseudo R2 of svy linearized : oprobit (when sample weights are set to xyz)?
>>
>> Thank you very much and have a nice evening,
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