dynare/matlab/partial_information/PCL_resol.m

155 lines
5.5 KiB
Matlab

function [dr,info]=PCL_resol(ys,check_flag)
% function [dr,info]=PCL_resol(ys,check_flag)
% Computes first and second order approximations
%
% INPUTS
% ys: vector of variables in steady state
% check_flag=0: all the approximation is computed
% check_flag=1: computes only the eigenvalues
%
% OUTPUTS
% dr: structure of decision rules for stochastic simulations
% info=1: the model doesn't determine the current variables '...' uniquely
% info=2: MJDGGES returns the following error code'
% info=3: Blanchard Kahn conditions are not satisfied: no stable '...' equilibrium
% info=4: Blanchard Kahn conditions are not satisfied:'...' indeterminacy
% info=5: Blanchard Kahn conditions are not satisfied:'...' indeterminacy due to rank failure
% info=6: The jacobian evaluated at the steady state is complex.
% info=19: The steadystate file did not compute the steady state (inconsistent deep parameters).
% info=20: can't find steady state info(2) contains sum of sqare residuals
% info=21: steady state is complex
% info(2) contains sum of sqare of
% imaginary part of steady state
% info=30: Variance can't be computed
%
% SPECIAL REQUIREMENTS
% none
% Copyright © 2001-2024 Dynare Team
%
% This file is part of Dynare.
%
% Dynare is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% Dynare is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with Dynare. If not, see <https://www.gnu.org/licenses/>.
global M_ options_ oo_
global it_
jacobian_flag = false;
info = 0;
it_ = M_.maximum_lag + 1 ;
if M_.exo_nbr == 0
oo_.exo_steady_state = [] ;
end
% check if ys is steady state
tempex = oo_.exo_simul;
oo_.exo_simul = repmat(oo_.exo_steady_state',M_.maximum_lag+M_.maximum_lead+1,1);
if M_.exo_det_nbr > 0
tempexdet = oo_.exo_det_simul;
oo_.exo_det_simul = repmat(oo_.exo_det_steady_state',M_.maximum_lag+M_.maximum_lead+1,1);
end
dr.ys = ys;
check1 = 0;
% testing for steadystate file
static_resid = str2func(sprintf('%s.sparse.static_resid', M_.fname));
static_g1 = str2func(sprintf('%s.sparse.static_g1', M_.fname));
function [resid, g1] = static_resid_g1(y, x, params)
[resid, T_order, T] = static_resid(y, x, params);
g1 = static_g1(y, x, params, M_.static_g1_sparse_rowval, M_.static_g1_sparse_colval, M_.static_g1_sparse_colptr, T_order, T);
end
if options_.steadystate_flag
[dr.ys,check1] = feval([M_.fname '_steadystate'],dr.ys,...
[oo_.exo_steady_state; ...
oo_.exo_det_steady_state]);
if size(dr.ys,1) < M_.endo_nbr
if length(M_.aux_vars) > 0
dr.ys = add_auxiliary_variables_to_steadystate(dr.ys,M_.aux_vars,...
M_.fname,...
oo_.exo_steady_state,...
oo_.exo_det_steady_state,...
M_.params);
else
error([M_.fname '_steadystate.m doesn''t match the model']);
end
end
else
% testing if ys isn't a steady state or if we aren't computing Ramsey policy
if ~options_.ramsey_policy
if options_.linear == 0
% nonlinear models
if max(abs(static_resid_g1(dr.ys, [oo_.exo_steady_state; ...
oo_.exo_det_steady_state], M_.params))) > options_.solve_tolf
opt = options_;
opt.jacobian_flag = false;
[dr.ys, check1] = dynare_solve(static_resid_g1, dr.ys, options.steady_.maxit, options_.solve_tolf, options_.solve_tolx, ...
opt, [oo_.exo_steady_state; oo_.exo_det_steady_state], M_.params);
end
else
% linear models
[fvec,jacob] = static_resid_g1(dr.ys, [oo_.exo_steady_state;...
oo_.exo_det_steady_state], M_.params);
if max(abs(fvec)) > 1e-12
dr.ys = dr.ys-jacob\fvec;
end
end
end
end
% testing for problem
if check1
if options_.steadystate_flag
info(1)= 19;
resid = check1 ;
else
info(1)= 20;
resid = static_resid(ys, oo_.exo_steady_state, M_.params);
end
info(2) = resid'*resid ;
return
end
if ~isreal(dr.ys)
info(1) = 21;
info(2) = sum(imag(ys).^2);
dr.ys = real(dr.ys);
return
end
dr.fbias = zeros(M_.endo_nbr,1);
if( options_.partial_information || options_.ACES_solver)%&& (check_flag == 0)
[dr,info,M_,options_,oo_] = dr1_PI(dr,check_flag,M_,options_,oo_);
else
[dr,info,M_,options_,oo_] = dr1(dr,check_flag,M_,options_,oo_);
end
if info(1)
return
end
if M_.exo_det_nbr > 0
oo_.exo_det_simul = tempexdet;
end
oo_.exo_simul = tempex;
tempex = [];
end
% 01/01/2003 MJ added dr_algo == 1
% 08/24/2001 MJ uses Schmitt-Grohe and Uribe (2001) constant correction
% in dr.ghs2
% 05/26/2003 MJ added temporary values for oo_.exo_simul