function [A,B,ys,info] = dynare_resolve(mode) % function [A,B,ys,info] = dynare_resolve(mode) % Computes the linear approximation and the matrices A and B of the % transition equation % % INPUTS % mode: string 'restrict' returns restricted transition matrices % % OUTPUTS % A: matrix of predetermined variables effects in linear solution (ghx) % B: matrix of shocks effects in linear solution (ghu) % ys: steady state of original endogenous variables % 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=20: can't find steady state info(2) contains sum of sqare residuals % info=30: variance can't be computed % % SPECIAL REQUIREMENTS % none % Copyright (C) 2003-2007 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 . global oo_ M_ [oo_.dr,info] = resol(oo_.steady_state,0); if info(1) > 0 A = []; if nargout>1 B = []; if nargout>2 ys = []; end end return end if nargin == 0 endo_nbr = M_.endo_nbr; nstatic = oo_.dr.nstatic; npred = oo_.dr.npred; iv = (1:endo_nbr)'; ic = [ nstatic+(1:npred) endo_nbr+(1:size(oo_.dr.ghx,2)-npred) ]'; else iv = oo_.dr.restrict_var_list; ic = oo_.dr.restrict_columns; end if nargout==1 A = kalman_transition_matrix(oo_.dr,iv,ic,M_.exo_nbr); return end [A,B] = kalman_transition_matrix(oo_.dr,iv,ic,M_.exo_nbr); ys = oo_.dr.ys;