Forecast of DSGE model


Can I consider the filtered variables stored in oo_.FilteredVariables as 1 step ahead forecast of the model, as x_{t}, where x_{t} =A x_{t-1}. If this guess is true, then I can multiply the x_{t} by the solution matrix and get the 2 step ahead forecast, x_{t+1}=A x_{t}, and so on.

Am I right?

Thank you in advance!

Just use the filter_step_ahead option to specify the desired k-step ahead forecast. See the manual