Hi all,
I'm
working with a panel data set which contains many missing values for
demographic variable (e.g. mortality rates, life expectancy, etc). Some
of them will be modeled as outcome variables. As it is well know, they
are not missing at random, mostly concentrating around poor and
non-democratic countries. Thus I am assuming I have to model the missing
process or at least provide some information such as the mean of the
missing data should lower or higher for a particular set of countries. I
have seen that I can provide some prior for the imputation procedure in
your software but I not sure whether this is an explicit model of the
non-ignorable process. Any suggestions?
Congratulations on your amazing software!
Help and advice really appreciated,
Antonio.