by zhanshuo » Thu Dec 08, 2016 6:48 am
Yeah, that is what you have done in replication of the paper ,Jermann, Urban and Vincenzo Quadrini. 2012. "Macroeconomic Effects of Financial Shocks."
as is listed below.
shock_decomposition(parameter_set=posterior_mode) y_obs;
timeline=1984:0.25:2010.25;
y_pos=strmatch('y_obs',M_.endo_names,'exact');
xi_pos=strmatch('eps_xi',M_.exo_names,'exact');
However, I am confused about maybe there is another potential method to work that out. First do the estimation command and get the estimated parameters, and then use the calib_smoother to get the smoothed variables, with only certain shocks. As in the case of Jermann, Urban and Vincenzo Quadrini. 2012, first do estimation and do calib_smoother with the given parameters but with only the financial shock.
I do not know whether this method is reasonable and whether it will give the same result as by shock_decompositon.
And if possible , could you give me an example paper on the usage of calib_smoother?
Thanks a lot.