You should set the intercs argument to TRUE and include either polytime=0 or 1. This will allow imputations to depend on country specific fixed effects or time trends. If that isn't enough, you could create your own interactions of the country variable with other variables and include that in the imputation.

Matt

On Friday, August 29, 2014, Renzo Carriero <renzo.carriero@unito.it> wrote:

Dear Amelia users,

I wish to know what is the treatment Amelia does with cross national datasets. I'm using the fourth wave of the European Values Study (a European version of the WVS). THe same question are asked in different countries. I would like to impute data on household income. The rate of missingness ranges 8% to 48% across countries and also the predictive power of my predictors changes across countries. Does Amelia take into account that? I made some tests with the country variable set as cross section variable or not, but it didn't change so much.
I read an article that made use of multiple imputation with Amelia on a multinational dataset (Linos, K. & West, M. 2003 Self-interest, Social Beliefs, and Attitudes to Redistribution, ESR) but there are not details on this issue. Does anybody knows how to deal with that?

Thanks
Renzo

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Renzo Carriero, PhD
Dipartimento di Culture, Politica e Società
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10153 Torino - Italy
+390116702617 (office)
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