Good people,
Here is my quandary. I am having a heck of a time trying to complete
procedures for multiple imputation using Stata 8.2.
My goal is to impute missing values for my income variable (v1019). I would
like to generate 5 new and complete datasets from which to derive my new
values (to be placed back into the old dataset). Here is the syntax I have
been using to no avail:
First, I use the MVIS command to generate five new datasets with values for
any missing values in the key variables:
mvis v1019 black male age2 educate using imp, m(5) genmiss(m_) cmd(regress)
cy(20) se(101) replace
And I get...
imputing 1..2..3..4..5..file imp.dta saved
Then, I open the new dataset (with all missing values imputed):
use imp, clear
Then I generate a model (from the 5 new datasets in imp.dta) that predicts
my income variable (v1019):
micombine regress v1019 black male age2 educate
Multiple imputation parameter estimates (5 imputations)
----------------------------------------------------------------------------
v1019 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+-------------------------------------------------------------
black | -16060.96 2412.319 -6.66 0.000 -20794.22 -11327.7
male | 10331.52 2487.338 4.15 0.000 5451.057 15211.97
age2 | -114.4879 90.15501 -1.27 0.204 -291.3829 62.40716
educate | 4532.232 722.751 6.27 0.000 3114.107 5950.357
_cons | -8530.671 12416.8 -0.69 0.492 -32893.94 15832.6
----------------------------------------------------------------------------
1106 observations.
Now what do I do? I have been roaming through manuals and copies of the
Stata Journal (4-3 and 5-4) but every time to get near, the author(s) leave
out something important, like how exactly do I use MISET, MI SPLIT AND
MIJOIN to get my imputed values back to my original dataset....
Any help would be greatly appreciated...
M.
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