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Re: st: Dummy variables for missing values


From   Quang Nguyen <quangn@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Dummy variables for missing values
Date   Sun, 13 Feb 2005 15:19:57 -1000

Hi Alan et al.,

Thanks so much for your advices. They are very helpful.

Have A Wonderful Day!
All the best,

Quang 


On Sat, 12 Feb 2005 08:07:17 -0800, Alan Acock <acock@comcast.net> wrote:
> On Sat, 12 Feb 2005 00:48:28 -0500, Daniel Egan <dp.egan@gmail.com> wrote:
> > Hi Quang,
> >
> >
> > > My friend has a panel data in the following format:
> > >
> > > Year        Investment
> > > 1900        . (Missing value)
> > > 1930        .
> > > 1960        12
> > > 1980         .
> > > 1990        28
> > > 1991        56
> > > 1992        35
> > > 1993        45
> > > etc.,
> > >
> > > Could you please tell me how she can use the dummy variables for this
> > > exercise (regression)? Also, how she can interprete the coeficients
> > > for Investment and the dummy variables?
> > >
> A better solution to missing data is available with Stata. Do a findit on
> mvis. This set of commands imputes multiple datasets, does your regressions
> on each of these, and combines them to obtain unbiased estimates and
> unbiased standard errors. Imputing the missing values make sense if the
> missing values are "missing at random." If this is not the case, then the
> assumption can be approximated by including "mechanism" variables, i.e.,
> variables that predict patterns of missingness.
> Alan Acock
> 
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