function [endogenousvariables, info] = sim1_purely_backward(endogenousvariables, exogenousvariables, steadystate, M, options) % Performs deterministic simulation of a purely backward model % Copyright © 2012-2021 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 . ny0 = nnz(M.lead_lag_incidence(2,:)); % Number of variables at current period iyb = M.lead_lag_incidence(1,:)>0; % Logical vector (for lagged variables) if ny0 ~= M.endo_nbr error('All endogenous variables must appear at the current period!') end if ismember(options.solve_algo, [12,14]) && ~M.possible_to_use_solve_algo_12_14 error(M.message_solve_algo_12_14) end dynamicmodel = str2func([M.fname,'.dynamic']); dynamicmodel_s = str2func('dynamic_backward_model_for_simulation'); info.status = true; for it = M.maximum_lag + (1:options.periods) y = endogenousvariables(:,it-1); % Values at previous period, also used as guess value for current period ylag = y(iyb); if ismember(options.solve_algo, [12,14]) [tmp, check] = dynare_solve(dynamicmodel_s, y, options, M.isloggedlhs, M.isauxdiffloggedrhs, M.endo_names, M.lhs, ... dynamicmodel, ylag, exogenousvariables, M.params, steadystate, it); else [tmp, check] = dynare_solve(dynamicmodel_s, y, options, ... dynamicmodel, ylag, exogenousvariables, M.params, steadystate, it); end if check info.status = false; end endogenousvariables(:,it) = tmp; end