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 <[email protected]> wrote:
> On Sat, 12 Feb 2005 00:48:28 -0500, Daniel Egan <[email protected]> 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
>
> *
> * For searches and help try:
> * http://www.stata.com/support/faqs/res/findit.html
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
