Dear all,
I encountered the following identification problem. Does anybody have similar experiences?
When I triggered the identification command, there is no problem when testing the prior mean. But problem arised when doing monte carlo analysis, the error message is
Monte Carlo Testing
Testing MC sample
All parameters are identified in the model (rank of H).
WARNING !!!
The rank of J (moments) is deficient for 1 out of 250 MC runs!
eps_MP is collinear w.r.t. all other params 36.4% of MC runs!
rho_MP is collinear w.r.t. all other params 37.2% of MC runs!
phi1_MP_star is collinear w.r.t. all other params 19.2% of MC runs!
phi2_MP is collinear w.r.t. all other params 6% of MC runs!
phi3_MP is collinear w.r.t. all other params 20.4% of MC runs!
The code and log file are attached. I have tried other prior settings and sometimes the problem does not pop up. So it seems to me that this problem may have something to do with the prior I set. Am I right? What should I do in this case? Can I simply ignore this identification warning?
Thanks a lot in advance!!!