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: mvreg with vce(robust)?
From
"Peter Velte" <[email protected]>
To
[email protected]
Subject
Re: st: RE: mvreg with vce(robust)?
Date
Mon, 12 Jul 2010 15:11:59 +0200
The issue is as follows: -mvreg- runs much faster on an 8-core server than a loop of -reg- while generating the same results in my case (balanced panel). I assume that is due to the superior parallelization of the Mata code used in -mvreg-. The only difference is that -mvreg- cannot compute heteroskedasticity robust standard errors.
In practical terms assume the following multiple-equation regression:
mvreg portfolio1 portfolio2 portfolio3 = rmrf smb hml mom
Now, instead of ordinary standard errors I want to compute heteroskedasticity robust standard errors for each of the three regressions
portfolio1 = rmrf smb hml mom
portfolio2 = rmrf smb hml mom
portfolio3 = rmrf smb hml mom
Hope that clarifies my question.
Thanks,
Peter
-------- Original-Nachricht --------
> Datum: Mon, 12 Jul 2010 11:44:15 +0100
> Von: "Nick Cox" <[email protected]>
> An: [email protected]
> Betreff: st: RE: mvreg with vce(robust)?
> Two short answers:
>
> 1. In general, hidden options are rare in commands like -mvreg-. If an
> option isn't documented, it usually doesn't exist.
>
> 2. What would that look like, theoretically or practically, given that
> -mvreg- is specifically for several dependent variables?
>
> Nick
> [email protected]
>
> Peter Velte
>
> is there a way to perform mvreg with Newey-West-heteroskedasticity-robust
> standard errors?
>
>
> *
> * 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/
--
GRATIS für alle GMX-Mitglieder: Die maxdome Movie-FLAT!
Jetzt freischalten unter http://portal.gmx.net/de/go/maxdome01
*
* 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/