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: RE: Different coefficient magnitudes in ols and 2sls estimation
From
Tirthankar Chakravarty <[email protected]>
To
[email protected]
Subject
Re: st: RE: Different coefficient magnitudes in ols and 2sls estimation
Date
Fri, 23 Apr 2010 00:44:35 +0530
Not really, see the advice given on page 95:
http://repec.org/usug2007/baumUKSUG2007.pdf
However, use of a HAC-robust variance-covariance matrix is recommended.
T
2010/4/23 Sukesh Patro <[email protected]>:
> The Y2 variable is binary. Should that matter? I started this
> discussion under the assumption that it should not matter. Please note
> too the sample size is quite large (say over 10,000 observations).
> SSKP
>
> On Thu, Apr 22, 2010 at 1:42 PM, Tirthankar Chakravarty
> <[email protected]> wrote:
>> " Is this test focused on the two coefficients that were specified?"
>> Indeed. It is a quadratic in the difference of the estimators weighted
>> by the inverse of the difference of the variance-covariance matrices.
>> T
>> 2010/4/23 Nick Cox <[email protected]>:
>>> I know nothing about this stuff. Is this test focused on the two coefficients that were specified? It sounds as if the reviewer were just saying "Why are these so different?", which could be a reasonable question.
>>> Nick
>>> [email protected]
> *
> * 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/
>
--
To every ω-consistent recursive class κ of formulae there correspond
recursive class signs r, such that neither v Gen r nor Neg(v Gen r)
belongs to Flg(κ) (where v is the free variable of r).
*
* 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/