Dear professors,
I am a Phd student at the University of Paris VIII and I am working on financial issue in a panel data. I've come to use the multiple imputation for my missing data and I've been very interested in your method.
Since I was working with R, I installed your Amelia II Package which has perfectly worked for my case. However, when I started to look closely to the values imputated I realised that the method has replaced the missing values with negative ones which in my case was non significant and non relevant. Beside the negative issue, I have some problem with variable ranging between 0 and 1. Indeed, I have a variable wich representes a percentage but when imputated, the missing values exceed the number 1 which is wierd.
Could you have the kindness to enlighten me of a possible solution to these two problems, knowing that by adding in the command ( ords ="X5", p2s = 0), the negative value disappear and the imputed data for X5 are numeric
a.out<- amelia(Mydata, m = 5, ts = "year", cs = "id", ords ="X5", p2s = 0).
This constraint (ords ="X5", p2s = 0) in the command is correct!! Thank you in advance for your answer.
Best regards
Mouna kessentini
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
--
Renzo Carriero, PhD
Dipartimento di Culture, Politica e Società
Lungo Dora Siena 100
10153 Torino - Italy
+390116702617 (office)
Room 3D310
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