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: OLS assumptions not met: transformation, gls, or glm as solutions?
From
Maarten Buis <[email protected]>
To
[email protected]
Subject
Re: st: OLS assumptions not met: transformation, gls, or glm as solutions?
Date
Mon, 17 Dec 2012 16:27:32 +0100
On Mon, Dec 17, 2012 at 4:17 PM, Carlo Lazzaro wrote:
> The main meaning of my example is that you cannot be sure, after invoking
> -robust-, that heteroskedasticity is automatically removed. In other words,
> homoskedasticity should be checked graphically even after - robust -.
Robust standard errors do not change the coefficients, just the
standard errors change. So the predicted values and residuals will
also remain unchanged after you have specified the -vce(robust)-
option. The whole point of robust standard errors is not that it
"solves" in some way for heteroskedasticity, it just makes that
"assumption" irrelevant. For more, see section 20.20 of the User's
Guide.
Hope this helps,
Maarten
---------------------------------
Maarten L. Buis
WZB
Reichpietschufer 50
10785 Berlin
Germany
http://www.maartenbuis.nl
---------------------------------
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/faqs/resources/statalist-faq/
* http://www.ats.ucla.edu/stat/stata/