Am 14.09.2020 um 09:30 schrieb Adam Elderfield:
Yes, that is how I think I would attack it. I think a simple solution would be
to create a function that takes estimated parameters and writes them to a text
file which BIMETS will read as an identity.
I don't think it would be correct to label these equations as
identities. (If I'm not misunderstanding what you meant.) The simulation
will often be stochastic and thus an error term plus estimated variance
would be needed. I don't think that's a problem per se, but so far I
don't know how to tell bimets the estimation results including those
variances and so on, or more fundamentally if there's some kind of
interface in bimets for this "injection" of already estimated but
non-identity equations.
One challenge would be translating what is an acceptable way to express an
equation in GRETL into something that can be read in BIMETS for example:
"ln (Y/Y(-1)) = coef(1)*(ln(Y(-1))-coef(2)*ln(X(-1)))+coef(3)*ln (Y(-1)/ Y(-2)) +
coef(4)*ln(X/X(-1))"
While BIMETS it would be something like:
"TSDELTALOG(Y) =
coef(1)*(TSLAG(LOG(Y),1)-coef(2)*TSLAG(LOG(X),1))+coef(3)*TSDELTALOG(Y,1) +
coef(4)*TSDELTALOG (X)"
So I think a small task would be to parse a GRETL acceptable language (I'm not
sure if my equation above is an acceptable format for GRETL, but I hope
illustrates the point?) into something readable by BIMETS, i.e. replace the
(-1) with TSLAG etc and hard code the coefficient estimates from various
estimation outputs in the GRETL environment to the text file.
All very adequate thoughts, but I will reply to Jack's answer first, as
it is more fundamental...
cheers
sven
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