Parameter error: The model does not solve for prior_mean with error code info = 46

Estimation
1

Dear Johannes,
Thank you very much for your help last time, I am grateful.
I have done my identification part of DSGE model,
I would like to know what does the following sentence mean in Dynare output:

Parameter error:
The model does not solve for prior_mean with error code info = 46

and the following is my identification output:
There are 15 eigenvalue(s) larger than 1 in modulus
for 15 forward-looking variable(s)

The rank condition is verified.

==== Identification analysis ====

Testing prior mean
Evaluating simulated moment uncertainty … please wait
Doing 252 replicas of length 300 periods.
Simulated moment uncertainty … done!

Parameter error:
The model does not solve for prior_mean with error code info = 46

Try sampling up to 50 parameter sets from the prior.
Evaluating simulated moment uncertainty … please wait
Doing 252 replicas of length 300 periods.
Simulated moment uncertainty … done!

All parameters are identified in the model (rank of H).

All parameters are identified by J moments (rank of J)

Monte Carlo Testing

Testing MC sample

All parameters are identified in the model (rank of H).

All parameters are identified by J moments (rank of J)

==== Identification analysis completed ====

Thank you very much and look forward to hearing from you.
Best wishes,
Jesse

2

Error code 46 is

Likelihood is a complex number

For reference, you can see them in print_info.m

3

Thank you very much. I found the problem, the prior of one parameter is unbounded, i correct it and this sentence disapears.