Dear Nick and Sergy,
Thanks very much for your suggestions.
Erasmo
On 10/11/07, Sergiy Radyakin <[email protected]> wrote:
> Hello Erasmo,
>
> you may want to have a look at cluster analysis, which is a scientific
> way of separating data into clusters of "similar" objects. Some of the
> methods will automatically choose the number of clusters based on your
> data. Note that it will be increasingly hard to plot the data if you
> come from 2 dimensions to higher dimensions, so graphical
> representation might not be as convincing as formal analysis. Stata is
> capable to perform some of the standard cluster analysis procedures.
>
> Best regards,
> Sergiy Radyakin
>
>
> On 10/10/07, Erasmo Giambona <[email protected]> wrote:
> > Dear Statalisters,
> >
> > I have a cross section of firm-level data. If I plot the data
> > according to firm debt and growth opportunities, it seems that the
> > data is separating into 2 distinct regions. In the first region there
> > are firms with very low debt and high growth and in the second region
> > firms with very high debt and low growth. Is there a test to check
> > whether indeed there is separation in the data? Is there a way to
> > handle this with inregression?
> >
> > Any suggestions would be appreciated.
> > Erasmo
> > *
> > * 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/
>
*
* 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/
