Dear GRETL Folk, greetings from Paris !
I finally checked my problem and here are my conclusions:
1) in fact it is a data problem, because i have two series of prices that are
essentially very colinear, thus the explanatory variables matrices are near
singular but only so when i loop on the different years (for the whole
cross-section the vif test show no colinearity vif <10.0 for all variables);
2) so, when i use ols commands into a loop of the kind :
loop i=1..5
smpl SURVNUM=$i --restrict --replace
ols WLOG ...
ols WCAR_...
end loop
smpl full
everything runs perfectly as expected, however, the ols results on my data
clearly show that there is a colinearity problem: certain coefficients are too
large in magnitude. More importantly, gretl tells me that some variables have
been dropped because of colinearity and that the data matrices are still
near-singular !
3) A first line of conclusion is thus that : first, the loops are not under
cause ; second, it seems that the system commands do not handle colinearity in
the variables as efficiently as does ols. This seems rather serious because
instead of getting an error message gretl crashes.
I still work on the problem but i think it has been pinpointed.
cheers & regards
Franck
--
Franck Nadaud
CIRED
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