| |
[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]
Re: st: RE: problem using xtivreg2 without instruments
Mark,
I tried without the weight as you suggested, and the standard errors
from xtreg were slightly higher than those with xtivreg2. In fact, I
tried dropping one of the interaction variables, which eliminated the
error message, and still the standard errors were different (xtreg
slightly higher than xtivreg2). Any ideas what could be wrong?
Thanks for the help!
Samia
On Apr 14, 2007, at 1:16 PM, Schaffer, Mark E wrote:
Samia,
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of
Samia Tavares
Sent: 14 April 2007 17:33
To: [email protected]
Subject: st: problem using xtivreg2 without instruments
Hi everyone,
I'm trying to estimate a fixed effects regression with
analytical weights. I understand that this is not possible
with xtreg (only if I were using random effects), so I am
using xtivreg2 instead, since the help file indicated that I
could use it without instruments to obtain the same results I
would get with xtreg. The equation I am estimating is of the form:
xi:xtivreg2 y dummy control i.year*continent1 i.year*continent2
i.year*continent3 i.year [aweight=variance^-1], fe cluster(country)
When I estimate this, I get the following:
Error: estimated covariance matrix of moment conditions not
of full rank;
overidentification statistic not reported, and
standard errors and
model tests should be interpreted with caution.
Possible causes:
singleton dummy variable (dummy with one 1 and N-1 0s or vice
versa)
fwl option may address problem.
I read in the FAQs about this error, but in the context of
including instruments with xtivreg2. I have checked the
dataset and none of the dummy variables (dummy, continent,
continent2, continent3) contain a singleton. Obviously since
I have no instruments, I am not concerned about the
overidentification statistic, but I want to be sure about the
standard errors.
When I estimate the model without the year-continent
interactions, I don't get this error. However, I do wish to
include them to check for the robustness of my results.
Any help will be greatly appreciated!!
The error message is correct, I think. Most likely, all the
interactions mean that your var-cov matrix is not of full rank because
you have more regressors than clusters. Since you're not doing any
instrumenting or efficient GMM, this will probably cause you only
minor
problems at most - you won't, for example, be able to test the joint
significance of more variables than clusters.
A useful cross-check would be to estimate using xtivreg2 without
weighting and using xtreg, both with cluster. The SEs should be the
same, but xtivreg2 will again warn you.
Cheers,
Mark
Samia
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/