to get it to work in the software, you could impute it all, and then
discard the imputations that are in fact structurally missing.
Gary
---
http://gking.harvard.edu
On Mon, Apr 19, 2010 at 11:24 PM, Ashley Anderson
<aaanders at fas.harvard.edu> wrote:
Hi all,
I was wondering if someone with experience in imputing could help me answer
a question. So I'm trying to impute a TSCS dataset that codes country-years
from 1960-2002. However, I realize that some countries (namely countries
formed from the former Soviet Union and former Yugoslavia) cannot possibly
have information before 1989-ish because they simply didn't exist back then.
Clearly I can't impute the data because in lecture we were told we can't
extrapolate values when there is no underlying answer. Should I just reduce
the focus of the study to 1989 on, or is there some better way to account
for the missingness of these observations?
-Ashley Anderson
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