Hi everyone:
I've got 2 non-overlapping periods. Data is
available for period one (the first period).
The intention is to predict observations that
will be coming in period 2.
Now, suppose an extra information is available for
period 2. In particular, suppose it is known that
the values of observations in the 1st half of
period two will increase, and thereafter level off.
My question is what options are available for
capturing (in a regression model) such problem?
And what are the caveats and/or pitfalls?
Thanks for your insight.
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