Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Re: st: Spurious inference from endogeneity tests
From
"Justina Fischer" <[email protected]>
To
[email protected]
Subject
Re: st: Spurious inference from endogeneity tests
Date
Wed, 18 Jan 2012 00:06:34 +0100
Hi Andreas
for judging whether instruments are weak or not I would as first step look into the first stage regression results, look at the Shea R2, the F-test on the instruments, the single estimates....that tells you already a lot. Maybe use ivreg2.
Maybe you have only one weak instrument in a set of instruments you should exclude (so the set is then strong, even though one single weak instrument may bias your results)
Best
Justina
-------- Original-Nachricht --------
> Datum: Tue, 17 Jan 2012 22:12:36 +0100
> Von: [email protected]
> An: [email protected]
> Betreff: st: Spurious inference from endogeneity tests
> Dear Statausers,
>
> I am concerned with an endogeneity problem in my sample of 126 firms when
> investigating the relationship between managerial disclosure and cost of
> capital effects. After running the ivreg28 command, the Cragg-Donald test
> F-statistic is 2.27, which indicates that my instruments are rather weak.
> However, my model appears to be correctly identified, because the Anderson test
> statistic for the first stage equation yields a p-value lower than 0.01
> and the Sargan test statistic is insignificant (p-value = 0.59). Since my
> instruments have passed the overidentification test, I run the ivendog command
> which is equivalent to a Hausman test. Again, the test statistic is
> insignificant (p-value = 0.48).
>
> If I compare OLS and 2SLS, I find that only the former yields a
> significant coefficient of managerial disclosure in the model regressing cost of
> capital on managerial disclosure. Considering the specification tests above, it
> seems unlikely that 2SLS is an improvement over OLS. Thus I assume that I
> can take the OLS estimates for causal inference. Is this correct? If yes,
> the point why I should not use 2SLS is likely due to the weakness of the
> instruments and the small-sample bias. So I have to conclude from my
> specification tests that my coefficient estimates from both OLS and 2SLS cannot be
> interpreted because 2SLS does not succeed in resolving the endogeneity
> problem?
>
> Your answers will be highly appreciated.
>
> Thanks, Andreas
> *
> * 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/
--
Justina AV Fischer, PhD
COFIT Fellow
World Trade Institute
University of Bern
homepage: http://www.justinaavfischer.de/
e-mail: [email protected]. [email protected]
papers: http://ideas.repec.org/e/pfi55.html
*
* 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/