Bootstrapped IRF confidence levels are used both because of problems in the
use of analytic expressions when disturbances are normal and in the
presence of non-normal distributions. To obtain a better understanding you
should consult an appropriate text. There is material in Lutkepohl and
Kratzig (2004), Applied Time Series Econometrics, Cambridge. or Neusser
(2016), Time Series Econometrics, Springer..
John C Frain
3 Aranleigh Park
Rathfarnham
Dublin 14
Ireland
www.tcd.ie/Economics/staff/frainj/home.html
mailto:frainj@tcd.ie
mailto:frainj@gmail.com
On 18 August 2017 at 18:41, lasses skola <lassesskola(a)gmail.com> wrote:
So what about my last question? Are IRF confidence intervals based
on
bootstrapping valid even if the VECM has non-normal residuals?
fredag 18 augusti 2017 skrev Allin Cottrell <cottrell(a)wfu.edu>:
> On Fri, 18 Aug 2017, Riccardo (Jack) Lucchetti wrote:
>
> On Fri, 18 Aug 2017, Sven Schreiber wrote:
>>
>> - I just tried your (Allin's) example setup with UNEMP PRIME in the SVAR
>>> addon, and actually I get a very similar immediate effect of
UNEMP->UNEMP.
>>> So I think I was wrong when I inferred from the SVAR doc that the shock has
>>> unit size. (There is a slight difference, but I think that's just the
usual
>>> issue of d-o-f corrections or not in the sigma estimate.) Perhaps the docs
>>> for the SVAR add-on need to be clarified (note to self); or Jack could
>>> weigh in on this.
>>>
>>
>> I'll try to contribute to the discussion once I'm back from holiday (end
>> of the month). :-)
>>
>
> Enjoy your holiday! (Mine's about to expire.)
>
> Allin
> _______________________________________________
> Gretl-users mailing list
> Gretl-users(a)lists.wfu.edu
>
http://lists.wfu.edu/mailman/listinfo/gretl-users
>
_______________________________________________
Gretl-users mailing list
Gretl-users(a)lists.wfu.edu
http://lists.wfu.edu/mailman/listinfo/gretl-users