Hi, I am conducting Bayesian DSGE estimation using dynare.
Recently, I thought that I can almost overcome the difficulty of finding posterior modes.
In most cases, mode-finding problem arose because of shocks.
However, in some models, I could not bring myself to find posterior modes successfully.
What makes me reluctant is that I do not know exact rationale behind mode_compute=6 and
I do not know whether results obtained by using mode_compute=6 can be written in my paper.
Are there any papers that provide reasoning for monte carlo optimization? (mode_compute=6)