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I thought that the determinant of the residual covariance was -- up to a scale -- the same as the likelihood. So if you estimate a system of eqns which gives a DRC of 10e-05 and another system that gives a value of 0.1, you can be certain that the first system is a relatively better fit to the data....

I've been using various non-linear system estimation estimators in eviews, but the estimation output doesn't appear to support parameter stability diagnostics. Am i right in that? If so, is there anything i can do to somehow look at parameter stability under non-linear systems estimation. Thanks.

Hi
can i instead of using C(1), etc in estimation use more friendly parameters beta etc.

Thanks.

Thanks for your reply. This highlightes that discriminating between different system estimators in eviews appears tricky: FIML produces a loglik, but NLSUR doesn't. GMM produces a J-stat, but 3sls doesn't. Which statistical criterion/criteria would you then recommend to disriminate between estimatin...

Hi
can you tell me why in Eviews the 3sls system estimator doesn't return a J-statistic relating to the Instruments; the GMM system estimator does this.
Thanks