diff --git a/matlab/dyn_ramsey_static.m b/matlab/dyn_ramsey_static.m index 7427603e9..c2b619b3f 100644 --- a/matlab/dyn_ramsey_static.m +++ b/matlab/dyn_ramsey_static.m @@ -53,8 +53,12 @@ elseif options_.steadystate_flag %solve for instrument, using univariate solver, starting at initial value for instrument inst_val = csolve(nl_func,ys_init(k_inst),'',options_.solve_tolf,100); else - %solve for instrument, using multivariate solver, starting at initial value for instrument - [inst_val,info1] = dynare_solve(nl_func,ys_init(k_inst),options_); + %solve for instrument, using multivariate solver, starting at + %initial value for instrument + opt = options_; + opt.jacobian_flag = 0; + [inst_val,info1] = dynare_solve(nl_func,ys_init(k_inst), ... + opt); end ys_init(k_inst) = inst_val; exo_ss = [oo.exo_steady_state oo.exo_det_steady_state]; @@ -63,7 +67,9 @@ elseif options_.steadystate_flag else n_var = M.orig_endo_nbr; xx = oo.steady_state(1:n_var); - [xx,check] = dynare_solve(nl_func,xx,options_); + opt = options_; + opt.jacobian_flag = 0; + [xx,check] = dynare_solve(nl_func,xx,opt); [junk,junk,steady_state] = nl_func(xx); end diff --git a/matlab/partial_information/PCL_resol.m b/matlab/partial_information/PCL_resol.m index 154bfb883..ba0b1666f 100644 --- a/matlab/partial_information/PCL_resol.m +++ b/matlab/partial_information/PCL_resol.m @@ -89,7 +89,9 @@ else % nonlinear models if max(abs(feval(fh,dr.ys,[oo_.exo_steady_state; ... oo_.exo_det_steady_state], M_.params))) > options_.dynatol.f - [dr.ys,check1] = dynare_solve(fh,dr.ys,options_,... + opt = options_; + opt.jacobian_flag = 0; + [dr.ys,check1] = dynare_solve(fh,dr.ys,opt,... [oo_.exo_steady_state; ... oo_.exo_det_steady_state], M_.params); end diff --git a/matlab/partial_information/dr1_PI.m b/matlab/partial_information/dr1_PI.m index 4230828b4..0475d4bef 100644 --- a/matlab/partial_information/dr1_PI.m +++ b/matlab/partial_information/dr1_PI.m @@ -87,7 +87,9 @@ if options_.ramsey_policy && options_.ACES_solver == 0 end old_solve_algo = options_.solve_algo; % options_.solve_algo = 1; - oo_.steady_state = dynare_solve('ramsey_static',oo_.steady_state,options_,M_,options_,oo_,it_); + opt = options_; + opt.jacobian_flag = 0; + oo_.steady_state = dynare_solve('ramsey_static',oo_.steady_state,opt,M_,options_,oo_,it_); options_.solve_algo = old_solve_algo; [junk,junk,multbar] = ramsey_static(oo_.steady_state,M_,options_,oo_,it_); [jacobia_,M_] = ramsey_dynamic(oo_.steady_state,multbar,M_,options_,oo_,it_); diff --git a/matlab/perfect-foresight-models/private/simulation_core.m b/matlab/perfect-foresight-models/private/simulation_core.m index ecf5c8964..81674e4a2 100644 --- a/matlab/perfect-foresight-models/private/simulation_core.m +++ b/matlab/perfect-foresight-models/private/simulation_core.m @@ -79,7 +79,7 @@ else illi = illi(:,2:3); [i_cols_J1,junk,i_cols_1] = find(illi(:)); i_cols_T = nonzeros(M_.lead_lag_incidence(1:2,:)'); - [y,info] = dynare_solve(@perfect_foresight_problem,z(:),1, ... + [y,info] = dynare_solve(@perfect_foresight_problem,z(:),options_, ... str2func([M_.fname '_dynamic']),y0,yT, ... oo_.exo_simul,M_.params,oo_.steady_state, ... options_.periods,M_.endo_nbr,i_cols, ...