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Andres said
I'm dealing with a simultaneous equation system, three supply and
three demand equations. As endogeneity is present, a instrumental
variable method is required. I have 37 years of historical data.
- I'm in doubt to use 2sls (robust) or 3sls. I know that 3sls is
more efficient than 2sls but because of the small number of
observations it might not be good idea.
- 3sls doesnt allow the option robust. Is there any way to do so?
- when I use reg3 for the whole system together, the results are
different if you I it equation by equation. Anyone know the reason
or which way is more reasonable?
John A. pointed out that if the results (e.g., point estimates)
differ, this is likely to be indicative of misspecification in at
least one equation. This is an excellent point, and one of the reasons
why 3sls is often not such a good idea--especially the crippled form
of 3sls available from -reg3-. Unlike almost all other Stata
estimation commands, -reg3- does not support a -vce()- option, so that
your -reg3- estimates must be calculated under the maintained
hypothesis of i.i.d. errors (which is often a ridiculous assumption).
In that sense efficiency gains are irrelevant, as your -reg3- standard
errors based on i.i.d. errors are likely to be biased and inconsistent.
I would come down strongly in favor of 2sls with robust (or HAC)
standard errors and diagnostics.
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
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