Statalist


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

Re: st: RE: propensity score and mills ratio


From   "Austin Nichols" <austinnichols@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: RE: propensity score and mills ratio
Date   Tue, 28 Oct 2008 12:07:16 -0400

francesca.modena--
You might also be interested in
Thomas A. DiPrete and Markus Gangl (2004). Assessing Bias in the
Estimation of Causal Effects: Rosenbaum Bounds on Matching Estimators
and Instrumental Variables Estimation with Imperfect Instruments.
Sociological Methodology, 34: 271-310.
http://www.jstor.org/stable/3649376

and -findit rbounds-

On Tue, Oct 28, 2008 at 11:47 AM, Austin Nichols
<austinnichols@gmail.com> wrote:
> francesca.modena--
>
> Note it is not really a "sample selection problem" so much as a
> treatment (T=1) selection problem. Matching or an IV approach (like
> the -treatreg- model proposed in the original post) each requires
> different assumptions.
*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/



© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index