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RE: st: Modeling % data


From   Marlis Gonzalez Fernandez <mgonzal5@jhmi.edu>
To   "'statalist@hsphsun2.harvard.edu'" <statalist@hsphsun2.harvard.edu>
Subject   RE: st: Modeling % data
Date   Thu, 23 Sep 2010 12:08:51 -0400

Maarten-
Yes, I ran mfx after the glm (with very little effect on the estimates). 

Thanks for your help.

M

-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Maarten buis
Sent: Thursday, September 23, 2010 3:38 AM
To: statalist@hsphsun2.harvard.edu
Subject: RE: st: Modeling % data

--- On Wed, 22/9/10, Marlis Gonzalez Fernandez wrote:
> I think that using glm as you described is
> the best way given my data.  Now, I am not familiar
> with this stata command... will I interpret the coefficiants
> the same was as a regular linear regression?

No, you would probably want to use the -margins- or -mfx-
command. There is an example on page 41 in my talk at the German
Stata Users' Meeting. <http://ideas.repec.org/p/boc/dsug10/04.html> 
These can be interpreted in a similar way as linear regression 
coefficients.

Hope this helps,
Maarten

--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany

http://www.maartenbuis.nl
--------------------------


      

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