I think I can actually answer this question...
As I recall, Amelia will complain and stop if variables are highly
collinear. It can't really choose which variable to keep and which to
drop, but it can detect the collinearity.
What you need to do is tell it to ignore one or more of the collinear
variables. It has been a while since I wrote up my programs, and the
syntax might have changed, but what I did was to use the "idvars"
argument to hide these variables from Amelia but keep them in the
results.
Alternately you could just drop them first, then run Amelia.
Hope that helps,
James Marca
On Fri, Sep 20, 2013 at 04:15:02PM +0100, Alex Sutherland wrote:
Dear Amelia-users,
A newbie question: Does Amelia automatically detect and ignore identical
variables with different names (i.e. perfectly collinear variables) or will
this cause singularity/collinearity problems ending with an error message?
E.g. if one has a variable 'ethnicity' where 1==Non-white and 0=White and
another variable 'White' where 1==White 0==Non-White, would one be ignored
or would the imputation always fall over? From reading other messages (e.g.
https://lists.gking.harvard.edu/pipermail/amelia/2012-May/000869.html) the
suggestion is that one of these would need to be dropped manually or an
error message would appear (as long as the variables mapped onto one another
perfectly as per Matt Blackwell's response).
Thanks for any assistance, and apologies if this seems ridiculously
straightforward/obvious!
Dr. Alex Sutherland
Research Methods Associate,
Social Sciences' Research Methods Centre (SSRMC)
http://www.ssrmc.group.cam.ac.uk/
Office 3.12
Institute of Criminology,
University of Cambridge,
Sidgwick Site
CB3 9DA
Tel: +44 (0)1223 746519
as2140(a)cam.ac.uk
http://www.crim.cam.ac.uk/people/academic_research/alex_sutherland/
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