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st: Multivariate imputation using chained equations
From
"Jacqueline Jodl" <[email protected]>
To
<[email protected]>
Subject
st: Multivariate imputation using chained equations
Date
Mon, 8 Jul 2013 12:45:14 -0400
I am attempting multivariate imputation using chained equations.
My longitudinal dataset (NLSY79) codes the missing data that I wish to
impute as -1, -2, and -3 (don't know, refusal, and invalid skip,
respectively). The data that I do NOT want to impute is coded at -4, -5, and
-7 (noninterviews and valid skips).
I have included the following in my syntax to account for the observations
that I wish to impute:
ds*
local allvars = r(varlist)
foreach var of local allvars {
replace `var' = . if `var' == -1 | `var' == -2 | `var' == -3
}
Is there a similar approach to including syntax that excludes the data
points coded as -4, -5, and -7?
Thanks,
Jacqueline Jodl
Teachers College
Columbia University
New York, New York
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