function osr_res = osr(var_list, params, i_var,W) % osr_res = osr(var_list,params,i_var,W) % Wrapper function computing the solution to the optimal simple % rule-problem; calls osr1 for actual computation % INPUTS % var_list [character array] list of endogenous variables specified % after osr1-command (deprecated and not used anymore) % params [character array] list of parameter to be chosen in % optimal simple rule % i_var [n_osr_vars by 1 double] indices of osr-variable in % specified in optim_weights in declaration order % W [M_.endo_nbr by M_.endo_nbr sparse matrix] Weighting matrix for variance of endogenous variables % % OUTPUTS % osr_res: [structure] results structure containing: % - objective_function [scalar double] value of the objective % function at the optimum % - optim_params [structure] parameter values at the optimum % % % SPECIAL REQUIREMENTS % none. % Copyright © 2001-2018 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 M_ options_ oo_ options_.order = 1; if isempty(options_.qz_criterium) options_.qz_criterium = 1+1e-6; end oo_=make_ex_(M_,options_,oo_); np = size(params,1); i_params = zeros(np,1); for i=1:np str = deblank(params(i,:)); i_params(i) = strmatch(str{:}, M_.param_names, 'exact'); end if ~options_.noprint skipline() disp('OPTIMAL SIMPLE RULE') skipline() end osr_res = osr1(i_params,i_var,W); [~, oo_, options_, M_] = stoch_simul(M_, options_, oo_, var_list);