Laeticia,
I did fixed/between/random effects regression for my own project, and
I had to hand-write the code in R, as Stata's commands for MI data
didn't do xtreg very well. As I wrote my quant chapter, nine months or
so ago, Zelig only included GEE methods for panel data, which also
didn't do what I wanted. So I had to write my own code in R.
The code's not too hard (conceptually) to cook up, if you follow the
algorithm in Gary's original article on MI. Also, I can dig out my
code and share it if you decide you need it.
Best,
-Nathan
----------
Nathan A. Paxton
Ph.D. Candidate
Dept. of Government, Harvard University
Resident Tutor
John Winthrop House, Harvard University
napaxton AT fas DOT harvard DOT edu
http://www.fas.harvard.edu/~napaxton
========================================================
If every professor who backed a lunatic politician were to be sacked,
half the interesting minds in academia would be lost.
- The Economist, 5 Jan 2002
A morning without coffee is like something without something else.
========================================================
On 30 Mar 2009, at 10:37 AM, Laeticia Klein wrote:
Hello,
I want to analyse the effect of several independent variables on the
democratization process of almost every country in the world. At the
same time I have 30 years for every country.
1) Is there a possibility to do a fixed effects regression with my
imputed datasets with Clarify (xtreg) or do I have to use Zelig?
2) If I have to use Zelig - what do I have to do or where can I find
Information?
3) After this regression I want to use the synthetic control method.
I donŽt think that I can use the Imputed data sets for this. Is
there a way to put the imputed datasets together in one dataset?
Can anyone help me figure out a way to get around this problems?
Thanks in advance for any help you can give.
Sincerely,
Laeticia Klein
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