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Re: st: AW: Multiple Imputation on Panel Data: all variables have missing data, and the panels are expanding


From   Jennie Day <jennieday@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: AW: Multiple Imputation on Panel Data: all variables have missing data, and the panels are expanding
Date   Wed, 25 Aug 2010 08:25:16 +1000

Oops... I meant v11.
jennie

On 24/08/2010, at 7:47 PM, Martin Weiss wrote:

> 
> <> 
> 
> 
> " I am trying to use STATA 12's"
> 
> 
> You must be the first person to get a copy of it outside StataCorp... What
> is it like?
> 
> 
> 
> HTH
> Martin
> 
> 
> -----Ursprüngliche Nachricht-----
> Von: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von Jennie Day
> Gesendet: Dienstag, 24. August 2010 11:35
> An: statalist@hsphsun2.harvard.edu
> Betreff: st: Multiple Imputation on Panel Data: all variables have missing
> data, and the panels are expanding
> 
> Hi out there.  Thanks for having a look at my questions.  I have two:
> 
> 1)  I am trying to use STATA 12's mi commands to do multiple imputations on
> a panel dataset where all variables have some missing values (save the
> unique ID numbers and the time variable).  I am getting confused on whether
> to register a variable as passive or imputed.  Can anybody tell me what is
> the standard of care here? 
> 
> 2) I have a panel dataset where the number of observations has expanded over
> time.  There are 292 observations in 1993, and 434 observations in 2007.  Is
> there a way to avoid imputing values for IDs 293-434 in 1993, etc?
> 
> Here are some details about my dataset:   
> 
> A) I have a panel dataset beginning in 1993 and going to 2007, annually.  
> 
> B) I have some variables that have a 1% missing rate and some that have a 10
> percent missing rate.  Should I use imputed for the ones with lower
> non-response rates and passive for the ones with higher non-response rates?
> 
> C) All of my variables are continuous.
> 
> Thanks in advance,
> jennie
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