Re: st: Methods for selection bias

["Gauri Khanna" <gwkhanna@hotmail.com>]

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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