Forecast, shock decomposition after Bayesian estimation

[JoseDNino]

I’ve already done Bayesian estimation with my model and have the results using the following command

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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

[jpfeifer]

First of all, do a backup of the folder. Then, load the mode_file, use the load_mh_file-option, and set mh_replic=0 so as to not add additional draws. Also enable the options you need like forecast

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estimation(mh_replic=0,mode_compute=0,mode_file=whatever_the_name_of_the_mode_file_is,load_mh_file,forecast=8,bayesian_irfs...)


The shock_decomposition is a separate command that can be put after estimation.

[JoseDNino]

Thanks Dr. Johannes for your quick and helpful reply.