Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Re: st: Missing Observations. Do I need multiple Imputations?
From
Richard Williams <[email protected]>
To
[email protected], [email protected]
Subject
Re: st: Missing Observations. Do I need multiple Imputations?
Date
Wed, 22 Aug 2012 10:40:12 -0500
At 01:44 AM 8/22/2012, A Loumiotis wrote:
Hi Gordon,
Since your aggregate variable is missing when at least one component
is missing I believe you would first need to multiple impute the
missing observations of your dataset and then compute your aggregate
variable. I don't see a problem with multiple imputing variables such
as age or number of wifes. In addition, your results might change if
your data are missing (conditionally) at random even if your non
missing sample is large.
Best,
Antonis
I believe what you are proposing is passive imputation and I don't
think that is right. Rather, I suspect he should impute the aggregate
variable the same way he imputes everything else. Counter-intuitive,
perhaps, but for a discussion see
http://www.stata.com/statalist/archive/2009-02/msg00602.html
http://www.stata.com/statalist/archive/2009-02/msg00613.html
-------------------------------------------
Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
HOME: (574)289-5227
EMAIL: [email protected]
WWW: http://www.nd.edu/~rwilliam
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/