Well yes, that was my first suggestion. That's the difference between "doesn't react" or "doesn't move (at all)".
But for the IRFs it shouldn't make a difference whether you put y2 as exogenous or if you explicitly estimate this restricted structure with a univariate y2 equation. Assuming you don't care about the shock in this y2 equation, only about the shocks in y1 and y3.
Where it would make a difference AFAICS is if either you want to do actual forecasts, or perhaps if you want to get confidence bands with parameter uncertainty. [Without further thinking I'm not 100% sure about this latter point, however, but it seems plausible.]
Gesendet: Dienstag, 04. Juni 2013 um 20:10 Uhr
Von: "Gabriela Nodari" <gabriela.nodari@gmail.com>
An: "Gretl list" <gretl-users@lists.wfu.edu>
Betreff: Re: [Gretl-users] SVAR coefficients
Ok, I will try to estimate the SVAR with x_1 as exogenous, I am also quite sure that the SVAR package allows it. But I am getting a little but confused!
Actually I am trying to follow a paper where the authors do this exercise, they have 
Yt=(y1, y2, y3). 
They shock y1, and they check the effects on y2 and y3. As for y3, they say that there is a direct effect, and an indirect effect (via y2). To isolate these 2 effects, what they do is: 
"to restrict the coefficients of the underlying VAR in such a way as to force the response of y2 to a shock in y1 to be zero [...] we postulate a different (restricted) economic structure, i.e. y2 is structurally not allowed to respond to y1 and y3 shocks [...]. A necessary condition is to set the impact reaction =0. This plus restricting the AR coefficients on lagged y1 and y3 in the y2 equation will be sufficient for imposing that y2 does not react to a y1 shock at any horizon" 
It seems that your first suggestion was the way to replicate what they do, isn't it? But I don't know how to do it in gretl! 
2013/6/4 Sven Schreiber <svetosch@gmx.net>
Am 04.06.2013 16:20, schrieb Gabriela Nodari:
> Dear Sven,
> Thanks for your timely answer! I guess you understood right. But let me
> try to be more precise.
> I want to check the effects of a shock within the VAR by restricting the
> x_1 variable to not move.
Well, if a system variable is not endogenously responding, we typically
call it exogenous instead. To me it seems that that's what you
(implicitly) want to do: create a scenario where x_1 is treated as
My first suggestion was to implement that by changing the x_1 equation
to a univariate equation only including lagged values of x_1. But if you
say "x_1 shouldn't change" that would probably not be the correct
implementation: Instead you would replace the x_1 equation by some
totally pre-specified scenario path, presumably a constant value. (If
you don't do actual forecasting but just IRFs, then I guess you don't
really have to specify these paths.)

I'm not up to date on the capabilities of the SVAR package,
unfortunately -- wait, I'm actually curious myself, so I'll check the
docs... and in the help file it says that that you can specify a list of
exogenous variables, so it seems you should be alright.

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