dynare/matlab/perfect-foresight-models/sim1_purely_backward.m

52 lines
2.0 KiB
Matlab

function [endogenousvariables, info] = sim1_purely_backward(endogenousvariables, exogenousvariables, steadystate, M, options)
% Performs deterministic simulation of a purely backward model
% Copyright (C) 2012-2017 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 <http://www.gnu.org/licenses/>.
if size(M.lead_lag_incidence,1) > 1
ny0 = nnz(M.lead_lag_incidence(2,:)); % Number of variables at current period
nyb = nnz(M.lead_lag_incidence(1,:)); % Number of variables at previous period
iyb = find(M.lead_lag_incidence(1,:)>0); % Indices of variables at previous period
else
ny0 = nnz(M.lead_lag_incidence(1,:)); % Number of variables at current period
nyb = 0;
iyb = [];
end
if ny0 ~= M.endo_nbr
error('All endogenous variables must appear at the current period!')
end
dynamicmodel = str2func([M.fname,'.dynamic']);
info.status = 1;
for it = 2:options.periods+1
yb = endogenousvariables(:,it-1); % Values at previous period, also used as guess value for current period
yb1 = yb(iyb);
[tmp, check] = solve1(dynamicmodel, [yb1; yb], 1:M.endo_nbr, nyb+1:nyb+M.endo_nbr, ...
1, options.gstep, options.solve_tolf, options.solve_tolx, ...
options.simul.maxit, options.debug, exogenousvariables, ...
M.params, steadystate, it+M.maximum_lag-1);
if check
info.status = 0;
end
endogenousvariables(:,it) = tmp(nyb+1:nyb+M.endo_nbr);
end