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Re: st: Trying to do some multiple imputation
Mosi,
Maarten Buis and I were discussing your question off-list, and we had 
different interpretations of what you were attempting to accomplish, 
which leads to the question, exactly what are you trying to achieve with 
this procedure?
Rose
Mosi A. Ifatunji wrote:
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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--
Rose Anne Medeiros
Department of Sociology / Family Research Laboratory
University of New Hampshire
126 Horton Social Science Center
20 College Road
Durham, NH 03824
U.S.A.
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