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From | Austin Nichols <austinnichols@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: Question on Wooldridge's Procedure 18.1 |
Date | Tue, 7 Aug 2012 09:53:35 -0400 |
B.Gibbons <brent.gibbons@gmail.com>: This question is not clear to me--the point is that weak IV diagnostics work fine for the linear probability model but not Procedure 18.1, as evidenced by a thought experiment (or simulation) using white noise variables as excluded instruments as in my 2010 post. When you say "can't test the exclusion restriction" you are apparently confusing several tests of quality of inference in instrumental variables. I have no idea what you mean by "the non-linearity in the probit may be correlated with..." (did you mean some component of the error? a generalized residual?) On Thu, Aug 2, 2012 at 7:43 PM, B.Gibbons <brent.gibbons@gmail.com> wrote: > Hi Austin, I'm currently using the 18.1 method in a project and have seen > your warnings about using tests of instrument strength through the 18.1 > method. > > My 1st question is whether those warnings are solely because of the > potential that the non-linearity in the probit may be correlated with the > binary endogenous variable - and falsely show good instrument strength. > > 2nd - what if there is both strong correlation between the non-linearity in > the probit AND strong instruments in the model: is there reason to worry > about this non-linearity as having a potential bias, especially since you > can't test the exclusion restriction for that? > > Thanks for any comments, Brent > > > > -- > View this message in context: http://statalist.1588530.n2.nabble.com/st-Question-on-Wooldridge-s-Procedure-18-1-tp4266545p7580228.html > Sent from the Statalist mailing list archive at Nabble.com. > * > * 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/ * * 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/