Hi,
I am a bit confused…
Let’s say we have the following time series
ln(Xt)= b0 + b1 ln(Xt-1) + b4 ln(Xt-4) + et
Would you classify this as an AR(4) with coefficients b2=b3=0 or as an AR(1) with a seasonal lagged 4 term?
What is the thinking process behind the decision?
Thank you in advance for your inputs…
S
i think it is AR(n), where n is the number of lag. I usually look at the biggest value of time series to determine how many lag there are. For example, t-1 is 1 lag, t-2 is 2 lag, and so on. the model you have is the AR(4) model, and b1 and b2 in this case should be 0. Please correct me if i’m wrong.
I think also that is an AR(4).
Just to add to my initial post:
This is regarding AR model with a seasonal lag…
Thank you both for your inputs…