Richard Boylan--
Indeed -areg- will mechanically give you an answer when combined with
-suest- but you should be aware that the cluster-robust estimator can
give downward-biased estimates of the true standard deviation of your
estimates, so a smaller p-value after -suest- may be suspect. Also,
just to be clear, -suest- will not give you more precisely estimated
coefficients since it will not change your estimated coefficients.
Under some circumstances it will give you better estimates of the
standard errors, and those circumstances include having a large number
of clusters and observations. How large? That depends...
webuse abdata
areg ys n w k, a(id)
est sto ys
areg wage n w k, a(id)
est sto wage
suest wage ys, cluster(id)
On 9/12/07, David Jacobs <[email protected]> wrote:
> The command "areg" is designed for this purpose, but I'm not 100%
> sure that it has a score option or that it's matrix isn't equally large.
>
> Dave Jacobs
>
> At 11:11 AM 9/12/2007, you wrote:
> >I would like to estimate several regressions separately, but using
> >suest to obtain more precisely estimate coefficients
> >
> >So, what I would like to do is:
> >
> >xtreg y1 x1, i(id) fe
> >est store eq1
> >xtreg y2 x2, i(id) fe
> >est store eq2
> >xtreg y3 x3, i(id) fe
> >est store eq3
> >suest eq1 eq2 eq3, cluster(id)
> >
> >Given that xtreg does not have a score option, it is discussed in
> >previous postings that one needs to estimate the model using a linear
> >regression with dummy variables.
> >
> >The problem I have is that I have 1000 fixed effects and thus the
> >matrix computed in suest is going to be way too large.
> >*
> >* 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/
