correctly applicating ARMA
Posted: Thu Dec 31, 2009 6:21 am
Hello!
I've studied several textbooks about time series analysis and now I'm trying to implement some ARIMA models using eviews. The basic ideas of ARMA models seem quite simple and easy to understand, but nevertheless a lot of questions arise concerning the apropiate methodology for estimating an ARMA model.
I've got a series of quarterly gdp growth with 215 observation. I estimated an ARMA(5,3) model with
ls gdp c ar(1) ar(2) ar(3) ar(4) ar(5) ma(1) ma(2) ma(3).
ar(2), ar(3) and sar(4) have insignificant estimates while the rest of the estimates are significant. Now, what to do with the insignificant variables? Is it correct to exclude them and estimate a model with the significant variables only? That is:
ls gdp c ar(1) ar(5) ma(1) ma(2) ma(3)
But now ar(1) ar(5) are no longer significant. Eliminating the insignificant variables from the model feels wrong but is it correct to rely on the insignificant variables when I want to run a forecast?
Thank you very much for your help!
I've studied several textbooks about time series analysis and now I'm trying to implement some ARIMA models using eviews. The basic ideas of ARMA models seem quite simple and easy to understand, but nevertheless a lot of questions arise concerning the apropiate methodology for estimating an ARMA model.
I've got a series of quarterly gdp growth with 215 observation. I estimated an ARMA(5,3) model with
ls gdp c ar(1) ar(2) ar(3) ar(4) ar(5) ma(1) ma(2) ma(3).
ar(2), ar(3) and sar(4) have insignificant estimates while the rest of the estimates are significant. Now, what to do with the insignificant variables? Is it correct to exclude them and estimate a model with the significant variables only? That is:
ls gdp c ar(1) ar(5) ma(1) ma(2) ma(3)
But now ar(1) ar(5) are no longer significant. Eliminating the insignificant variables from the model feels wrong but is it correct to rely on the insignificant variables when I want to run a forecast?
Thank you very much for your help!