Hello
At the moment I am building an AR(2) modell (times series) were I have a produced a forecast. To achive stationarity I had to take the log first differences of my variables before making the forecast. The forecast has given me forecasted first differences values. My question is how do I recalculate the forecasted values back to its "original values"? I have tried a thing like x1+x1(+1) ( the opposite of first differnces, but it doesent work.)
Thanks in advance!
Question regarding first differences
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startz
- Non-normality and collinearity are NOT problems!
- Posts: 3797
- Joined: Wed Sep 17, 2008 2:25 pm
Re: Question regarding first differences
If you make your forecast variable d(x), instead of defining a new variable equal to d(x), EViews will forecast x for you.
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Christian_87
- Posts: 5
- Joined: Fri Mar 07, 2014 6:08 am
Re: Question regarding first differences
Thanks for the quick answer!
Iam not shore of what you are meaning exactly. So if I get a forecasted variable that is log diff, should i transform the forecasted variable log diff to its original value? Or is their some kind of function in Eviews that i should use?
Iam not shore of what you are meaning exactly. So if I get a forecasted variable that is log diff, should i transform the forecasted variable log diff to its original value? Or is their some kind of function in Eviews that i should use?
-
startz
- Non-normality and collinearity are NOT problems!
- Posts: 3797
- Joined: Wed Sep 17, 2008 2:25 pm
Re: Question regarding first differences
Try the following regressions and then forecasting from each to see what variables are created by the forecast.
Code: Select all
ls d(x) c z
ls dlog(x) c z-
Christian_87
- Posts: 5
- Joined: Fri Mar 07, 2014 6:08 am
Re: Question regarding first differences
Thanks!
It works now!
It works now!
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