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st: RE: Multiple imputation and selection model

From   "Han, Lei" <>
To   <>
Subject   st: RE: Multiple imputation and selection model
Date   Thu, 8 Mar 2007 17:50:22 -0600

Perhaps you can try Tobit model (with censored/truncated data). Thus you can address the problem at the same time.


From: on behalf of Andréanne Léger
Sent: Thu 3/8/2007 5:31 PM
Subject: st: Multiple imputation and selection model


I am working on a dataset with 2 problems:

- missing observations for some countries that I assume are missing at random, and for which I use multiple imputation

- some countries are not in the sample because no data are available, and this is not missing at random but rather linked to the level of institutional capacity/ development. I could use a Heckman selection model to control for this problem.

Ideally, I would be able to address both problems at the same time - is it possible? Or should I solve the problems separately?

Thanks a lot for your help!



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