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Re: st: Margins command
From
"Michael N. Mitchell" <[email protected]>
To
[email protected]
Subject
Re: st: Margins command
Date
Thu, 13 Jan 2011 21:39:46 -0800
Dear Robin
I could not find anything in the help file that addressed this, so I made a simple
example and it looks like -margins- is doing the computation based on the estimation
sample. In the example below, the -regress- command yields N=22, and then the -margins-
command also reflects N=22.
sysuse auto
(1978 Automobile Data)
. regress price weight if foreign==1
Source | SS df MS Number of obs = 22
-------------+------------------------------ F( 1, 20) = 72.66
Model | 113204096 1 113204096 Prob > F = 0.0000
Residual | 31159116.4 20 1557955.82 R-squared = 0.7842
-------------+------------------------------ Adj R-squared = 0.7734
Total | 144363213 21 6874438.7 Root MSE = 1248.2
------------------------------------------------------------------------------
price | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
weight | 5.36204 .6290375 8.52 0.000 4.049891 6.674189
_cons | -6033.316 1480.9 -4.07 0.001 -9122.419 -2944.213
------------------------------------------------------------------------------
. margins , at(weight=3000)
Adjusted predictions Number of obs = 22
Model VCE : OLS
Expression : Linear prediction, predict()
at : weight = 3000
------------------------------------------------------------------------------
| Delta-method
| Margin Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_cons | 10052.8 505.955 19.87 0.000 9061.151 11044.46
------------------------------------------------------------------------------
I hope this helps,
Michael N. Mitchell
Data Management Using Stata - http://www.stata.com/bookstore/dmus.html
A Visual Guide to Stata Graphics - http://www.stata.com/bookstore/vgsg.html
Stata tidbit of the week - http://www.MichaelNormanMitchell.com
On 2011-01-13 9.29 PM, Robin Jeffries wrote:
If I run a regression on a subset, for example
xtlogit outcome var1 var2 if level==0
and then ask for margins
margins var1, at var2=1 predict(pu0)
Will the predictions be for everyone? Or for those with level==0 only?
-Robin Jeffries
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