Hi, everyone, I am try to use dynare 4.5 to estimation a model, but it comes out like:

initial_estimation_checks:: The forecast error variance in the multivariate Kalman filter became singular.

initial_estimation_checks:: This is often a sign of stochastic singularity, but can also sometimes happen by chance

initial_estimation_checks:: for a particular combination of parameters and data realizations.

initial_estimation_checks:: If you think the latter is the case, you should try with different initial values for the estimated parameters.

ESTIMATION_CHECKS: There was an error in computing the likelihood for initial parameter values.

ESTIMATION_CHECKS: If this is not a problem with the setting of options (check the error message below),

ESTIMATION_CHECKS: you should try using the calibrated version of the model as starting values. To do

ESTIMATION_CHECKS: this, add an empty estimated_params_init-block with use_calibration option immediately before the estimation

ESTIMATION_CHECKS: command (and after the estimated_params-block so that it does not get overwritten):

Error using initial_estimation_checks (line 143)

initial_estimation_checks:: The forecast error variance in the

multivariate Kalman filter became singular.

Error in initial_estimation_checks (line 143)

error(‘initial_estimation_checks:: The forecast error variance

in the multivariate Kalman filter became singular.’)

Error in dynare_estimation_1 (line 149)

oo_ =

initial_estimation_checks(objective_function,xparam1,dataset_,dataset_info,M_,estim_params_,options_,bayestopt_,bounds,oo_);

Error in dynare_estimation (line 105)

dynare_estimation_1(var_list,dname);

Error in shadow1bey (line 600)

oo_recursive_=dynare_estimation(var_list_);

Error in dynare (line 223)

evalin(‘base’,fname) ;

Even I do as add a estimated_params_init-block with use_calibration option, the problem still exists.

So, could anyone help me with that problem?