Dear all,
I have a dataset with the form
ID Age gender Asset1 Asset2 Plot Area value_production value_input
1 20 1 . 10 1 . 5 2
1 20 1 . 10 2 2 4 1
where "." are missing values. I would like to end up with a dataset with
just 1 record per ID, with individual characteristics, including land area
(the sum of the are of the plots) and non-land wealth (the sum of the
value of the other assets). That is, for example:
ID Age gender wealth land
1 20 1 15 4.5
I was planning to use multiple imputation and -mvis- to "fill" the missing
values of the area of some plots and of the value of some assets but the
problem would be that I would end up with different values of, for
example, asset1 for individual 1, as every observation is taken to be
independent - and that doesn't make much sense. Is there a solution that
allows me to force the values of "asset1" to be identical within
individual, either using -mvis- or other .ado file?
If there isn't, can I take averages of the imputed values of asset1 to
construct the variable "wealth" or will this mess up all statistical
inference that I may want to do afterwards?
Thank you very much for any comment or suggestion.
Paulo Santos
Ph D candidate, AEM Cornell
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