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Re: st: Methods for selection bias
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.
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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