hello dear Professor Johannes Pfeifer

here’s my mod file. there is a problem that i can’t detect

limsa.mod (8.6 KB)

here is the message i receive :

There are 12 eigenvalue(s) larger than 1 in modulus

for 12 forward-looking variable(s)

The rank condition is verified.

You did not declare endogenous variables after the estimation/calib_smoother command.

Posterior IRFs will be computed for the 37 endogenous variables

of your model, this can take a long time …

Choose one of the following options:

[1] Consider all the endogenous variables.

[2] Consider all the observed endogenous variables.

[3] Stop Dynare and change the mod file.

[4] Consider all the endogenous and auxiliary variables.

options [default is 1] = 3

Prior distribution for parameter beta has unbounded density!

Prior distribution for parameter theta1 has unbounded density!

Prior distribution for parameter theta2 has unbounded density!

Prior distribution for parameter theta3 has unbounded density!

Prior distribution for parameter phiMR has unbounded density!

Prior distribution for parameter delta has unbounded density!

Prior distribution for parameter deltaG has unbounded density!

Error using beta_specification

Beta prior (for gammaG). Given the declared prior expectation, prior lower and upper bounds, the prior std. has to be

smaller than 0.000000.

Error in set_prior (line 177)

[bayestopt_.p6(k(i)), bayestopt_.p7(k(i))] = beta_specification(bayestopt_.p1(k(i)), bayestopt_.p2(k(i))^2, bayestopt_.p3(k(i)), bayestopt_.p4(k(i)), bayestopt_.name{k(i)});

Error in dynare_estimation_init (line 167)

[xparam1,estim_params_,bayestopt_,lb,ub,M_] = set_prior(estim_params_,M_,options_);

Error in dynare_estimation_1 (line 110)

dynare_estimation_init(var_list_, dname, [], M_, options_, oo_, estim_params_, bayestopt_);

Error in dynare_estimation (line 118)

dynare_estimation_1(var_list,dname);

Error in limsa.driver (line 687)

oo_recursive_=dynare_estimation(var_list_);

Error in dynare (line 281)

evalin(‘base’,[fname ‘.driver’]);