Dear Allin, Thank you for the answer. With the condition you'd suggested my problem is solved!
Best, Henrique 2009/10/31 Allin Cottrell <cottrell(a)wfu.edu> > > On Sat, 31 Oct 2009, Henrique wrote: > > > The theory tells me that b[2] < 0 and b[3] > 0 and I estimate "n" > models, > > > > Model 1: Y = b[1] + b[2]*X1 +b[3]*Z1 > > Model 2: Y = b[1] + b[2]*X2 +b[3]*Z2 > > . > > . > > . > > Model n: Y = b[1] + b[2]*Xn +b[3]*Zn > > > > Now I would like to know if it is possible to obtain a list with the > > models where the estimated parameters follow the theory (i.e. b[2] < 0 > > and b[3] > 0). > > You can't create a list of models as such, in gretl, but you have > the condition > > if $coeff[2] < 0 && $coeff[3] > 0 > # do something > endif > > The "something" might be saving the model specification as a > string, or saving the ID numbers of the X and Z series as > a row of a matrix, or (in the GUI) re-running the estimation > command so as to save a named model, as in > > model$i <- ols ... > > Allin Cottrell > _______________________________________________ > Gretl-users mailing list > Gretl-users(a)lists.wfu.edu > http://lists.wfu.edu/mailman/listinfo/gretl-users >Dear Allin,
Thank you for the answer. With the condition you'd suggested my problem is solved!
Best,
Henrique
2009/10/31 Allin Cottrell <cottr...@wfu.edu>
You can't create a list of models as such, in gretl, but you have
On Sat, 31 Oct 2009, Henrique wrote:
> The theory tells me that  b[2] < 0 and b[3] > 0 and I estimate "n" models,
>
> Model 1: Y = b[1] + b[2]*X1 +b[3]*Z1
> Model 2: Y = b[1] + b[2]*X2 +b[3]*Z2
> .
> .
> .
> Model n: Y = b[1] + b[2]*Xn +b[3]*Zn
>
> Now I would like to know if it is possible to obtain a list with the
> models where the estimated parameters follow the theory (i.e. b[2] < 0
> and b[3] > 0).
the condition
if $coeff[2] < 0 && $coeff[3] > 0
 # do something
endif
The "something" might be saving the model specification as a
string, or saving the ID numbers of the X and Z series as
a row of a matrix, or (in the GUI) re-running the estimation
command so as to save a named model, as in
model$i <- ols ...
Allin Cottrell
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