Hello,
I'm using site dummies in lieu of fixed effects and the "miest" command
in Stata. When I do this, I get a "conformability" error. I am pretty
sure is a consequence of different sites being dropped from different
imputed datasets when I run the logit model. For example, the imputation
process generated a situation in which site A is dropped from the
analysis in imputed dataset 1 because there is no variation on the
dependent variable for site A in dataset 1. However, for dataset 2, the
imputation process generated variation in the dependent variable for
site A, so site A is not dropped from that analysis. Then, when "miest"
attempts to combine the coefficients and standard errors from the
imputed datasets, it is doing so with different matrices and running
into problems.
Since I don't really care about the coefficients for the site dummies,
can I just run the regressions one at a time on each of the imputed
datasets and then manually combine the coefficients on the variables
with which I am concerned? I understand it is necessary to sum the
within and between variance to get proper standard errors; my question
is whether the fact that different sites will be dropped from different
analyses invalidates the combining of the coefficients and their
standard errors.
Thanks to anyone who can help.
Steve Shewfelt
PhD Candidate
Department of Political Science
Yale University
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Dear list,
I have been trying to use priors in Amelia with no success. I only
want to set the range as > 0 for the variables that are percentages
because I have noticed in Amelia output datasets that some of the
imputed values are negative. I am not sure how much of a problem the
latter is because, as I understand it, MI is about distributions not
exact values of missing obs. I selected the option "range" in the
priors tab but when I wrote 0 as minimum I got an error message asking
me to include the mean. I only wanted to get positive imputed values
and I have no priors about the mean. Could you please tell me how
this should be done?
Second, I have been told that if one plans to run a (coutnry) fixed
effects model, the country dummies should be included in the dataset
that is loaded in Amelia to perform the multiple imputation. Is this
right or should fixed effects be included in a different way...or not
included at all in the MI but added to each imputed datasets after the
imputation is done?
Finally, could you please let me know where I can get some guidance on
the interpretation of Amelia diagnostics. I got all the graphs but I
am not sure what they are telling me or whether overall my MI is ok.
Thanks so much in advance for your help!
Carlos
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