Thank you very much. I appreciate that.
Kind regards,
Giulia Chiara
> On 2 Aug 2025, at 5:52 pm, Sven Schreiber <sven.schreiber(a)fu-berlin.de> wrote:
>
> Am 31.07.2025 um 13:23 schrieb GIULIA CHIARA:
>> Thank you for your quick response.
>> If you could, at some point, when it's convenient for you, provide me with an
example, it would be extremely helpful since I'm not very familiar with coding.
>> Thank you in advance for your help. I wish you a good day.
>>
> Luca and I will definitely add the FEVD calculation to the BVAR package quite soon.
In the meantime and for the record, here's the current internal structure of the
results (since this isn't fully spelt out in the help document):
>
> - As the help mentions, the output bundle (with user-chosen name) contains a
sub-bundle called "s_irfs".
>
> - This s_irfs sub-bundle holds a bunch of matrix members, each of which contains one
of the IRFs.
>
> - The names of these matrix-es are of the pattern:
summ_<originname>_tow_<targetname>,
>
> where <originname> refers to the variable where the shock comes from,* and
<targetname> of course is the variable that reacts.
>
> - The number of rows of each matrix is given by the irf horizon that was chosen,
starting from 0 (=contemporaneous impact).
>
> - There are five columns with posterior statistics: mean, std.dev., 5% quintile,
median, 95% quintile.
>
> So for example, if your results bundle is called "res", you can access
'res.s_irfs.summ_interest_tow_inflation[,4]' to get the posterior median of the
structural IRF from the equation of the variable "interest" to the variable
"inflation", as a column vector up to the specified horizon.
>
> I'm not saying that we guarantee this internal structure to stay like that
forever, but that's the current state of affairs.
>
> cheers
>
> sven
>
> ---
>
> *: (of course, for structural IRFs the shock source is not the same thing as a
variable, so the variable name is just used to identify the equation which is considered)
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