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]
st: RE: RE: testing coefficients across different ivreg models - large dataset with many variables
From
"Imberman, Scott A" <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: RE: RE: testing coefficients across different ivreg models - large dataset with many variables
Date
Thu, 10 Mar 2011 11:37:07 -0600
Thank's Mark. It didn't occur to me to de-mean the data first. That should work much faster.
-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Schaffer, Mark E
Sent: Thursday, March 10, 2011 11:27 AM
To: [email protected]
Subject: st: RE: testing coefficients across different ivreg models - large dataset with many variables
Scott,
You can stack the data as per Austin's posting to Statalist, and use the partial option of -ivreg2- to partial out the RHS fixed effects.
Or - probably faster - you can use the within transformation (Ben Jann's -center- command is good for that) to demean your data and then stack.
HTH,
Mark
> -----Original Message-----
> From: [email protected]
> [mailto:[email protected]] On Behalf Of
> Imberman, Scott A
> Sent: 10 March 2011 15:23
> To: '[email protected]'
> Subject: st: testing coefficients across different ivreg
> models - large dataset with many variables
>
> Dear Statalisters,
>
> I'm trying to run the following models on two different subsamples
>
> ivreg y = (x = z), cluster(k) if j = 1 (model1) ivreg y = (x
> = z), cluster(k) if j = 2 (model2) ivreg y = (x = z),
> cluster(k) if j = 3 (model3) ivreg y = (x = z), cluster(k)
> if j = 4 (model4)
>
> and I want to test if x(model 1) = x(model 2) = x(model 3) =
> x(model 4)
>
> I know that I can't use suest with ivreg and I can't use
> hausman due to the clustering. I'm trying to stack the data
> and run a fully interacted model as suggested in this posting
>
> http://www.stata.com/statalist/archive/2010-04/msg00366.html
>
> but my dataset is very large and I have many fixed effects
> and controls - about 1300 in each model, so 5200 in the fully
> interacted model and so it's taking a very long time to run.
> Is there any other way to test the coefficients across the
> separate models?
>
> Thanks.
>
> Scott A. Imberman
> Assistant Professor of Economics
> University of Houston
> 204 McElhinney Hall
> Houston, TX 77204-5019
>
> 713-743-3839
> [email protected]
> http://class.uh.edu/faculty/simberman
>
> *
> * 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/
>
--
Heriot-Watt University is a Scottish charity
registered under charity number SC000278.
*
* 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/