Re: st: Re: Trying to do some multiple imputation

["roy wada" <roywada@hotmail.com>]

Mosi wants to keep his old value:

> I would like to end up with a variable in my original dataset (das1995r)
> with a new variable for income. That is, the old variable will still be
> there ('income') but there would also be a new variable at the end of the
> dataset (das1995r) that represents old values for 'income' with new values
> for 'income' where there were once missing values. I would like this
> variable to be called, 'imp_income.'
Change your income variable to some other name prior to imputing it.

gen income0=income
ice [varlist including income] using imputed, m(10) genmiss(m_) seed(123) 
replace

Your original income will be income0. If you want all your originial 
variables, generate a new variable for each. This command will give you the 
10 waves of data. You seem to want only 1 wave. You should see -impute-. 
Single imputations will give you the wrong standard error, however.

Further analysis should be done with -micombine-. See help micombine.

Roy


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