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"So, one model (nbreg) uses two columns; messing the contents"
Not so! My solution used the -eqdrop()- option which is designed for this
problem. Run my code here:
http://www.stata.com/statalist/archive/2009-08/msg00764.html
HTH
Martin
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Von: [email protected]
[mailto:[email protected]] Im Auftrag von
[email protected]
Gesendet: Sonntag, 16. August 2009 11:53
An: [email protected]
Betreff: Re: st: Problem with outreg2 after negative binomial regression
Thanks to both (it seems that you have the same problem) so, for example:
use http://www.stata-press.com/data/r10/rod93.dta
tab cohort, g(i_c)
nbreg deaths age_mos i_c*, exposure(exposure)
outreg2 using myfile
seeout using "myfile.txt"
Gives the following result:
(1) (2)
VARIABLES deaths lnalpha
age_mos -0.0518***
(0.00509)
i_c1 0.471
(0.433)
i_c2 0.180
(0.433)
Constant -2.108*** -0.465
(0.326) (0.287)
Observations 21 21
Standard errors in parentheses
*** p<0.01, ** p<0.05, * p<0.1
So, one model (nbreg) uses two columns; messing the contents if you
are comparing several models (i.e.: OLS, NBREG, NBREG-ROBUST, POISSON,
etc).
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