Hi,

I’m wondering how DYNARE constructs the moments of posterior distributions. I understand that the first “mh_drop” percent of the chain is dropped. But, are *all the other accepted candidates* used to compute parameters posterior moments?

I’m asking because, apparently, RWM algorithm generates a MC of autocorrelated accepted parameters. So, some authors (e.g. Canova’s book, 2007) suggested to discard some accepted draws from the MC (e.g. take one value every k positions in the chain, or pick randomly one every N) to reduce autocorrelation. **Does DYNARE do it?**

Thanks in advance and congratulations for the toolbox. In my estimation DYNARE worked properly and efficiently

Bene