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Re: st: Methods for selection bias


From   "Gauri Khanna" <gwkhanna@hotmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Methods for selection bias
Date   Fri, 21 Apr 2006 07:38:13 +0000

Another one that I found useful is by Martin Ravallion, 2001, The Mystery of the Vanishing Benefits:An Introduction to Impact Evaluation, World Bank Economic Review. The appendix is particularly useful to understand propensity score stuff and sample selection bais.

Regards,

Ms. Gauri Khanna



From: "Robert Duval" <rduval@gmail.com>
Reply-To: statalist@hsphsun2.harvard.edu
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: Methods for selection bias
Date: Thu, 20 Apr 2006 15:11:38 -0400

One useful reference on sample selction methods is the article

"Estimating models with sample selection bias: A survey," Journal of
Human Resources, 1998,
Vol 33 pp 127-169.

best
robert


On 4/20/06, Hema Mistry <Hema.Mistry@brunel.ac.uk> wrote:
> Dear Statalist users,
>
> I was wondering whether you can provide me with some advice or point me in the right direction. I am trying to find methods which can deal with data that is non-randomised and suffers from selection bias. After searching various databases etc I have come up with the following methods:
> 1) Regression analyses
> 2) Propensity score - matching, stratification, regression, classification trees
> 3) Instrumental variables
> 4) Sample selection models
> 5) Two-part models
> 6) Inverse probability weighting
>
> Before I start using these methods in various datasets I was just wondering whether users are aware of any other methods which I have not identified?
> Can you recommend any good text books or key people that maybe I should contact?
>
> Kind regards Hema
>
>
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