Thanks for the suggestion.
On Mon, Oct 7, 2013 at 5:39 PM, Riccardo (Jack) Lucchetti <
r.lucchetti(a)univpm.it> wrote:
On Mon, 7 Oct 2013, Sven Schreiber wrote:
Am 07.10.2013 18:58, schrieb Allin Cottrell:
>
>> On Mon, 7 Oct 2013, Felipe L. Bhering wrote:
>>
>> I've already seen it. The output of the irf function comes the
>>> confidence
>>> interval. What , really , I want is not the interval of some alpha (some
>>> confidence level) .
>>>
>>> Is it possible to output the standard error used to make this confidence
>>> interval?
>>>
>>
>> No, because it doesn't use a standard error as such, it is based on the
>> "percentile method" (that is, the quantiles of the bootstrap
iterations).
>> To get an estimated standard error you would have to do the bootstrap
>> yourself (though that might be added as an option at some point).
>>
>>
> Just a follow-up on this: With the standard error alone you wouldn't be
> able to construct any confidence intervals in this context, because in
> general you cannot characterize the distribution in terms of just its
> (first n) moments.
>
> (But of course the estimated standard deviation of the simulated
> distribution may still be a useful statistic. If such an option were to
> be added, it should probably also return other moments such as skewness
> and kurtosis.)
>
Follow-up on the follow-up: IRF confidence bands are a very tricky
subject. There is quite a lot of literature on that. I suggest Helmut
Lütkepohl's multiple time series book to give you a hint as to why standard
errors may be quite a bad idea and provide you with a few literature
pointers.
------------------------------**-------------------------
Riccardo (Jack) Lucchetti
Dipartimento di Scienze Economiche e Sociali (DiSES)
Università Politecnica delle Marche
(formerly known as Università di Ancona)
r.lucchetti(a)univpm.it
http://www2.econ.univpm.it/**servizi/hpp/lucchetti<http://www2.econ.un...
------------------------------**-------------------------
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