Hello folks,
I have got a conceptual question concerning multiple imputation with
Amelia. I have got a TSCS data set with quite a few missing variables.
I have got a country X for which I observe the variables A, B and C
during a range of t-10 to t. For my analysis, I need the following
values for X: A and B at time t and C at t-1 (C being the lagged
variable, e.g. GDP).
The question is now if I should run the imputation on the TSCS
dataset and then extract the observations I need or if I should
compile the dataset exactly the way I will need it in the end prior
to the imputation?
Thank you for your advice,
Raffael
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Raffael Himmelsbach, PhD candidate
Institut d'études internationales et politiques (IEPI)
Université de Lausanne