I have the below results based on the engle-granger test for cointegration, where the dependent and independent variables themselves are not stationary. The results show that null (process is not cointegrated) is rejected for lags 0,1,2 for both single mean and trend. However, lags 3,4,8 fail to reject the null. Is it then appropriate to run an AR(1,4) model, if we cannot reject the null that the process is cointegrated at lag 4?

Engle-Granger Cointegration Test enter image description here

  • $\begingroup$ When you say "proc autoreg" are you talking about SAS? $\endgroup$ – Glen_b Aug 28 '14 at 4:17
  • $\begingroup$ Yes, SAS, sorry about the confusion. $\endgroup$ – Rebecca Aug 28 '14 at 11:13

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.