Hi:
What if the system is non-recursive (with feedback loops) and with
multiple equations, e.g.,
y = x1 + x2 + z
x1 = m1 + m2 + x2 + z
x2 = n1 + n2 + x1 + z
m1 = q1 + q2 + z
m2 = p1 + p2 + z
Here one would need reg3, but how would one ensure consistency of
standard errors (in the presence of heteroskedasticity), apart from
bootstrapping (and Roodman's -cmp- would not here as it is only for
recursive systems)?
Thanks,
J.
____________________________________________________
Prof. John Antonakis, Associate Dean
Faculty of Business and Economics
Department of Organizational Behavior
University of Lausanne
Internef #618
CH-1015 Lausanne-Dorigny
Switzerland
Tel ++41 (0)21 692-3438
Fax ++41 (0)21 692-3305
Faculty page:
http://www.hec.unil.ch/people/jantonakis
Personal page:
http://www.hec.unil.ch/jantonakis
____________________________________________________
On 06.02.2010 02:02, Kit Baum wrote:
<>
John wrote
How would one deal with systems of equations (i.e., reg3) and
concurrently have heteroskedastic-robust standard errors? Would
bootstrapping with reg3 just be the simplest solution?
In the absence of cross-equation constraints, just estimate each equation with single-equation methods, i.e. -ivregress- or -ivreg2- using robust or cluster-robust VCE. Nothing is lost in doing so beyond a possible gain in efficiency.
Kit
Kit Baum | Boston College Economics & DIW Berlin | http://ideas.repec.org/e/pba1.html
An Introduction to Stata Programming | http://www.stata-press.com/books/isp.html
An Introduction to Modern Econometrics Using Stata | http://www.stata-press.com/books/imeus.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/
*
* 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/
