Forecast, shock decomposition after Bayesian estimation
Posted: Mon Dec 12, 2016 1:10 pm
I’ve already done Bayesian estimation with my model and have the results using the following command
However, I now need to use this bayesian estimation to do unconditional forecasts, historical variance decomposition of shocks and Bayesian IRFs. How do you recommend to do this without having to run the time consuming estimation command again?
Thanks for your valuable help.
Jose D. Niño
- Code: Select all
estimation(datafile=observables_gali2, mode_check, mh_conf_sig=0.95,mh_replic=1000000,selected_variables_only, mode_compute=6) y_obs;
However, I now need to use this bayesian estimation to do unconditional forecasts, historical variance decomposition of shocks and Bayesian IRFs. How do you recommend to do this without having to run the time consuming estimation command again?
Thanks for your valuable help.
Jose D. Niño