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Re: st: Interpretation of regression outputs when variables are log transformed
From
Junlin Liao <[email protected]>
To
[email protected]
Subject
Re: st: Interpretation of regression outputs when variables are log transformed
Date
Wed, 2 Mar 2011 14:40:59 -0600
Shouldn't they be log(1.1)*0.223 and log(1.1)*1.05 respectively for a
10% increase in independents? The numbers you choose make no
difference. But for 100% increase, the corresponding increase in X
will differ a lot.
On Wed, Mar 2, 2011 at 12:01 PM, Marco Buur <[email protected]> wrote:
> Dear Stata members,
>
> 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
>
> Thanks
> Marco
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--
Junlin
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