Hello,
I'm running fairly simple regression and logit models with
data pooled across NES survey years. Because the data are
pooled and the potential problems that might cause with
standard error estimates, I typically ask Stata for the
Huber/White robust standard errors with the
"cluster(variable name)" option. This is a variant of the
"robust" option that allows you to specify that the
observations are taken from distinct groups, in my case,
survey year. However, I also want to use Clarify to
present predicted first differences in values and
probabilities from these models and the standard errors
around them. But, the estsimp command won't work with the
"cluster" option. I get a "matrix is not positive
definite" error. Strangely, it works just fine if I simply
use the "robust" option.
Just wondering if anyone knows why this is, or a way around
the problem.
Thanks,
Geoff
Geoff Layman
Associate Professor
Department of Political Science
Vanderbilt University
Box 8262-B
Nashville, TN 37235
Phone: 615-322-6240
Fax: 615-343-6003
Email: geoff.layman(a)Vanderbilt.Edu
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Hello,
I'm hoping to use Clarify on some Time-Series-Cross-Section (TSCS)
data, using a variety of xt commands (e.g., xtregar, xtpcse, etc.),
but I get a message saying that Clarify does not support those
models. Does anyone out there have a suggestion for how I might work
around this?
What I'm hoping to do is to use Clarify to analyze some imputed
datasets, and also to run some simple simulations.
Thanks,
Strom
--
Strom C. Thacker
Associate Professor
Department of International Relations
Boston University
152 Bay State Road
Boston, MA 02215
Tel: 617/353-7160
Fax: 617/353-9290
sthacker(a)bu.edu
http://www.bu.edu/sthacker/
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