Hi all,
I would like to know how I can create auxiliary variables (if at all possible) without them representing expectations. The example below should clarify.
I would like for example to write down the following model
x = rho * x(-1) + shock;
aux_var = x(+1);
var = aux_var*x(+2);
If I write the model this way, I understand that
aux\_var = E_t[x_{t+1}]
and
var = E_t[x_{t+1}] E_t[x_{t+2}]
Now I would actually like to solve for
var = E_t[x_{t+1} x_{t+2}]
Would it be possible to supply some auxiliary variable to write the model in such a way? One solution would naturally be to write down explicitly
var = x(+1) * x(+2);
However, I would like to avoid such a solution since the expressions for x(+1) and x(+2) could potentially be big and replicating them would be cumbersome.
I hope this was clear enough and happy to clarify. Any suggestions are very much appreciated.
Thanks!
From what I understand, declaring variables in the model blo