it is best to run the simple linear regression (or whatever other procedure
you wish) on each of the imputed data sets, and then combine as suggested.
that way, you include the uncertainty due to the imputation process in
your final estimates.
Gary
--
*Gary King* - Albert J. Weatherhead III University Professor - Director,
IQSS <http://iq.harvard.edu/>- Harvard University
- King(a)Harvard.edu - @KingGary <https://twitter.com/kinggary> -
617-500-7570 - fax 812-8581 - Assistant <king-assist(a)iq.harvard.edu>du>:
495-9271
On Sun, Jan 4, 2015 at 9:56 AM, mouna kessentini <kessentini_mouna(a)yahoo.fr>
wrote:
Hi,
In my study, I want to use the imputed database to perform a generalized
method of moments, and I want to know does combining the datasets is a
better option since you get more information, or we can simply retain one
of the database imputed as Zelig function, which, in my opinion allows a
simple linear regression.
Thank you so muchfor your kind help
Mouna kessentini
Ph, D Student
University of Tunisia& University Paris 8
Le Samedi 3 janvier 2015 18h00, "amelia-request(a)lists.gking.harvard.edu"
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Today's Topics:
1. question about combining datasets (Heidy Col?n-Lugo)
----------------------------------------------------------------------
Message: 1
Date: Fri, 2 Jan 2015 12:04:43 -0600
From: Heidy Col?n-Lugo <heidycolon(a)gmail.com>
To: amelia(a)lists.gking.harvard.edu
Subject: [amelia] question about combining datasets
Message-ID:
<CAM7znKO1LMbHtZ1YKiHzzEvbnZbtTJ+Fv9C26Tz-h0dYwzDRWA(a)mail.gmail.com>
Content-Type: text/plain; charset="utf-8"
I am having a hard time finding an example on how to combine the
imputed datasets from Amelia in Zelig. As a result, I'm using the 10th
imputed dataset as the one that I use to run my regression models (see
below). Is this ok? Or is combining the datasets a better option since you
get more information? And if so, what is the code to combine the datasets?
outa<-amelia(psub, m=10, noms=noms, ords=ords, idvars=idvars)
write.amelia(obj=outa, file.stem="outdata", extension=NULL,
format="csv")
outdata10<-read.table("S:/.../Imp outdata/outdata10", header=T,
sep=",",
na.strings="NA", dec=".", strip.white=T)
I appreciate all of the help I can get.
Respectfully,
Heidy Colon-Lugo
PhD Candidate