Breusch-Godfrey after ARMA

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startz
Non-normality and collinearity are NOT problems!
Posts: 3798
Joined: Wed Sep 17, 2008 2:25 pm

Breusch-Godfrey after ARMA

Postby startz » Sat Feb 25, 2012 2:20 pm

If you run a pure ARMA model and then check the Breusch-Godfrey, what exactly is EViews doing?

startz
Non-normality and collinearity are NOT problems!
Posts: 3798
Joined: Wed Sep 17, 2008 2:25 pm

Re: Breusch-Godfrey after ARMA

Postby startz » Wed Feb 29, 2012 10:58 am

bump?

EViews Gareth
Fe ddaethom, fe welon, fe amcangyfrifon
Posts: 13604
Joined: Tue Sep 16, 2008 5:38 pm

Re: Breusch-Godfrey after ARMA

Postby EViews Gareth » Wed Feb 29, 2012 11:38 am

Code: Select all

create u 100 series y=nrnd ' ar equation eq01.ls y c ar(1) eq01.makeresid resid01 eq01.makegrad grad01 grad02 series g1=grad01/resid01/(-2) series g2=grad02/resid01/(-2) series resid011 = resid01(-1) series resid012 = resid01(-2) resid011=@recode(resid011=na, 0, resid011) resid012=@recode(resid012=na, 0, resid012) equation serial_ar.ls resid01 g1 g2 resid011 resid012 freeze(artab) eq01.auto(2) ' arma equation eq02.ls y c ar(1) ma(1) eq02.makeresid resid02 eq02.makegrad grad03 grad04 grad05 series g3=grad03/resid02/(-2) series g4=grad04/resid02/(-2) series g5=grad05/resid02/(-2) series resid021 = resid02(-1) series resid022 = resid02(-2) resid021=@recode(resid021=na, 0, resid021) resid022=@recode(resid022=na, 0, resid022) equation serial_arma.ls resid02 g3 g4 g5 resid021 resid022 freeze(armatab) eq02.auto(2) show serial_ar show artab show serial_arma show armatab

startz
Non-normality and collinearity are NOT problems!
Posts: 3798
Joined: Wed Sep 17, 2008 2:25 pm

Re: Breusch-Godfrey after ARMA

Postby startz » Wed Feb 29, 2012 2:14 pm

Hadn't seen that one before!
Thanks.

kiber_master
Posts: 94
Joined: Fri Sep 23, 2011 3:56 am

Re: Breusch-Godfrey after ARMA

Postby kiber_master » Tue May 22, 2012 3:39 am

In such case the summary statistics of Breusch-Godfrey model will count intercept as another factor. I mean Adjusted R-squared and F-statistics, where k is the number of explanatories except intercept.


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