Hello, I would like to make a forecast from a given state using Ramsey Optimal Policy. Is this possible?
I have tried to find this in the documentation, but I could not.
I also thought about stacking impulse responses to form a forecast, but in the context of optimal policy, I think they are not linearly stackable if I use a quadratic loss function.
You should be able to call the
command after the ramsey_policy
command (alternatively after a combination of ramsey_model and stoch_simul)
Hi Professor,
I have a related question. Is it possible to combine calib_smoother
and smoother2histval
with optimal policy commands to do forecasts starting from the last observation? Also, is it possible to do a conditional forecast under an optimal policy setup?
In the attached template, I tried using the conditional_forecast
command after solving for the Ramsey and discretion optimal policy. The code runs, but I’m not getting the expected results. The file works when I solve for osr
though.
Thank you vm for the help.
test.mod (2.2 KB)
Usually, that should work. The issue in your case is that under optimal policy, y
is insulated from y_
shocks:
POLICY AND TRANSITION FUNCTIONS
y inflation r
y(-1) 0 0 7.333333
inflation(-1) -0.238274 0.569909 1.583964
MULT_1(-1) 0.261812 0.062962 -4.580661
MULT_2(-1) 0.055655 0.026219 -0.633517
y_ 0 0 16.666667
inf_ -0.496404 1.187311 3.299924
Thus, the desired conditional forecasts do not make sense.
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I see, seems like I’m getting a divine coincidence under optimal policy in this toy model.
I’ll break it to make things more interesting.
Thank you vm, professor.