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| From | Nick Cox <n.j.cox@durham.ac.uk> |
| To | "'statalist@hsphsun2.harvard.edu'" <statalist@hsphsun2.harvard.edu> |
| Subject | st: RE: Interpretation of regression outputs when variables are log transformed |
| Date | Wed, 2 Mar 2011 18:07:01 +0000 |
This may help:
SJ-3-4 st0054 . . . . . . . . . . Stata tip 1: The eform() option of regress
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . R. Newson
Q4/03 SJ 3(4):445 (no commands)
tips for using the eform() option of regress
http://www.stata-journal.com/sjpdf.html?articlenum=st0054
Nick
n.j.cox@durham.ac.uk
Marco Buur
Me and my colleague are not sure that our interpretations of the
results are correct. Please confirm!
10% increase in Y will increase X for 1.1^0.223=1.021481649 which is
2.1% and 10 % increase in Z will increase X for 1.1^1.05=1.10525457
which is 10.5%.
Is this correct?
-----------------------------------------------------------
| Robust
Log(X) | Coef. Std. Err. z P>|z|
-------------+----------------------------------------------
Log(Y) | .223 .033 3.57 0.000
Log(Z) | 1.05 .1045 11.14 0.000
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