Identity in model object using stochastic LHS variables

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Identity in model object using stochastic LHS variables

Postby dravenous » Mon Dec 03, 2018 7:54 am


This is probably a dumb question, but I have this model object where we have let's say these 2 stochastic equations

Y = A + B + C
Z = D + E + F

and I want to insert an identity into the model object that is

Q = Y + Z

Now Eviews says that data is missing, which is true because Y+Z haven't been estimated yet until an initial solve of the model is successful, is there any way to have that "summation identity" included in the model object, or should I just do it outside the model object?


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