Dear all:

Will there be any difference on the variance if I list several smoothed variables after Bayesian estimation and if not?

For example:

code 1:

estimation(datafile=hpplus,order=1,mode_compute=6);

stoch_simul(irf=20,nograph) y inv k n q lev pi i r c;

code 2:

estimation(datafile=hpplus,order=1,mode_compute=6) y inv k n q lev pi i r c;

stoch_simul(irf=20,nograph) y inv k n q lev pi i r c;

will the two codes above produce different results on *oo*.var_ and irf results?

Many thanks in advance.

Sorry, I have checked that there will be no difference.

I have one more question, I run stoch_simul after estimation **without** the code

```
xparam1= get_posterior_parameters(‘mean’);
M_ = set_all_parameters(xparam1,estim_params_,M_);
```

I read in the manual that after estimation with iterations(the default value of mh_replic is larger than 0, so I think I don’t need to declare again), dynare will set the paramters *M*.params_ to posterior means automatically, so I think I can put stoch_simul after estimation without these codes. Am I right?

Any response will be appreciated.

Thank you indeed.

Yes, Dynare will automatically set the parameters to the posterior mean after you run an MCMC