You didn't specify what you want the lower and upper limits of.
Regardless, -regress- returns two matrices, e(b) a coefficient
vector and e(V) a variance-covariance matrix of the estimators. I
don't think there is an e(ci) matrix.
You can make use of the stored estimates by doing something like this:
local lbx1 = _b[x1] - invttail(e(df_r),0.025)*_se[x1]
local ubx1 = _b[x1] + invttail(e(df_r),0.025)*_se[x1]
local lbx2 = _b[x2] - invttail(e(df_r),0.025)*_se[x2]
local ubx2 = _b[x2] + invttail(e(df_r),0.025)*_se[x2]
local lb_cons = _b[_cons] - invttail(e(df_r),0.025)*_se[_cons]
local ub_cons = _b[_cons] + invttail(e(df_r),0.025)*_se[_cons]
di "X1 LL=`lbx1' " "UL="`lbx1'
di "X1 LL=`lbx2' " "UL="`lbx2'
di "B0 LL=`lb_cons' " "UL="`ub_cons'
Best,
Alan
On Tue, Dec 2, 2008 at 9:05 AM, Loncar, Dejan <[email protected]> wrote:
> Dear all
> I would like to extract an e()-class result stored in
> a matrix after regression.I would like to have the upper and lower
> bound of the ci but it doesn't work
>
> reg y x1 x2
> matrix A=e(ci)
> svmat A, names(c
>
> Any tips
>
> Thank you
> Dejan
>
> *
> * For searches and help try:
> * http://www.stata.com/help.cgi?search
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
