Dear SAS Community,
I am referring to the SAS ARIMA manual, page 209 ("Stationarity and Input Series"). I find the following statement confusing, and I apologize if I lack the knowledge to fully understand it:
"If the inputs are nonstationary, the response series will be nonstationary, even though the noise process might be stationary."
The reason I find this confusing is that if we have a raw data series for Yt and Yt is stationary to begin with, then simply by regressing Yt on some nonstationary Xt, it should not make original Yt nonstationary because Yt is a known and given series (assumed to be stationary). Does SAS refer to the fitted values of Yt? Or is there something else I am missing?
Thank you for your help.
Thank you!
See "Forecasting & Econometrics" - board :
Koen
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