Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Re: st: interaction effects vs. interaction coefficients using contrast?
From
Maarten Buis <[email protected]>
To
[email protected]
Subject
Re: st: interaction effects vs. interaction coefficients using contrast?
Date
Mon, 6 Feb 2012 18:09:19 +0100
On Mon, Feb 6, 2012 at 4:29 PM, Colleen Nugent wrote:
> Following the example you gave in the Stata tip, if I wanted to know whether black women with a college degree had significantly different odds than white women with a college degree, the best way to do it is to use margins and then lincom to make this comparison?
In that case I would just re-estimate the model with a variable
noncoll (a indicator variable for non-college degree) instead of
collgrad. Than the reported number by -logit- with the -or- option of
-black- will be the ratio of the odds when both black and white women
have a college degree. If this ratio is 1 than the odds are equal, and
this is already the null hypothesis of the test reported in the
regression output, so than you are done.
Hope this helps,
Maarten
--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany
http://www.maartenbuis.nl
--------------------------
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/