Hi,
in terms of MLE: I would really appreciate so use Jack Lucchetti's SVAR 
package (of which I read several times).
Cheers
Pindar
Am 25.06.2011 11:30, schrieb Riccardo (Jack) Lucchetti:
 On Sat, 25 Jun 2011, savos schmagges wrote:
> Dear gretl-community,
>
> is it possible to impose restrictions inside a mle-command?
> e.g. i want to impose that a parameter d should be estimated higher 
> or equal to a parameter
> b.
> so i am searching for something like that:
>
> mle logl=...
> ...
> d>=b
> params d b
> end mle
>
> Is there any possibility to account for that??
 Not directly. However, to achieve what you want you may reparametrise 
 your model in such a way that the problem becomes unconstrained. 
 Example: suppose you have 2 parameters, b and d, and that you want to 
 ensure that d>b. You may define a scalar g such that d = b + exp(g) 
 and maximise your loglikelihood in the b-g space, as in
 <hansl>
 mle logl = ...
    ...
    d = b + exp(g)
    params b g
 end mle
 </hansl>
 Of course, you should choose the initial value for g in a sensible way.
 Riccardo (Jack) Lucchetti
 Dipartimento di Economia
 Università Politecnica delle Marche
 r.lucchetti(a)univpm.it
 
http://www.econ.univpm.it/lucchetti
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