Can someone tell me how to do the following forecasts using a calibrated model?
Forecast using non-linear model, and combining perfect foresight and surprise shocks with conditioning on exogenous and endogenous variables? I suspect it may be done by the function ‘det_cond_forecast’ but the documentation to this function does not explicitly say that the simulation is non-linear (the other related function - conditional_forecast - explicitly says it works with first order approximation).
Using linear approximation of the model, and combining perfect foresight and surprise shocks with conditioning on exogenous and endogenous variables? For this it seems the ‘conditional_forecast’ in combination with conditional_forecast_paths may do the trick, but from the documentation it seems it supports only surprise shocks and not perfect foresight (or combination of both).
Many thanks for your answers.