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Hello everybody,

Is there anybody who can help me please?I am trying to run the code I attach,but I get the following error message:
??? Error using ==> print_info at 36
The generalized Schur (QZ) decomposition failed. For more information, see the
documentation for Lapack function dgges:info=15, n=15
Error in ==> check at 76
print_info(info, options.noprint);

Error in ==> estimation3 at 453
oo_.dr.eigval = check(M_,options_,oo_);

Error in ==> dynare at 120
evalin('base',fname) ;

Is there a steady state file missing? Most of your parameters are not initialized

Thanks,now I haven't any error, but when I run the model, it ask me the option, and I write 2, then it plot the figure of the prior,but then ask me the option again, and it plot the figure of the prior again and this chain repeat.what's the problem of my model?

Your datafile must not have the same name as the mod- file

Thanks a lot.but I have another problem with my code. Now I get the following error message:
??? Error using ==> schur
Input to SCHUR must not contain NaN or Inf.

Error in ==> lyapunov_symm at 120
[U,T] = schur(a);

Error in ==> dsge_likelihood at 351
Pstar = lyapunov_symm(T,R*Q*R',DynareOptions.qz_criterium,DynareOptions.lyapunov_complex_threshold);

Error in ==> initial_estimation_checks at 47
[fval,junk1,junk2,a,b,c,d] =
feval(objective_function,xparam1,DynareDataset,DynareOptions,Model,EstimatedParameters,BayesInfo,DynareResults);

Error in ==> dynare_estimation_1 at 169
oo_ = initial_estimation_checks(objective_function,xparam1,dataset_,M_,estim_params_,options_,bayestopt_,oo_);

Error in ==> dynare_estimation at 70
dynare_estimation_1(var_list,dname);

Error in ==> estimation3 at 508
dynare_estimation(var_list_);

Error in ==> dynare at 120
evalin('base',fname) ;

The data file is missing.

My data file and code file are in the one folder. I don't know what's the problem. I run the model again with the data file in one folder, but again I get the same error message. I attach the data and code file.
Thanks for your help.

Please provide full calibration for the model and then use the

Code: Select all

estimated_params_init(use_calibration);
end;