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function y_=simult(y0, dr)
% function y_=simult(y0, dr)
% Recursive Monte Carlo simulations
%
% INPUTS
% y0: vector of variables in initial period of the simulation
% dr: structure of decisions rules for stochastic simulations
%
% OUTPUTS
% y_: stochastic simulations results
%
% SPECIAL REQUIREMENTS
% none
%
% Copyright (C) 2001-2011 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/>.
global M_ options_ oo_
order = options_.order;
replic = options_.simul_replic;
if replic > 1
fname = [M_.fname,'_simul'];
fh = fopen(fname,'w+');
end
% eliminate shocks with 0 variance
i_exo_var = setdiff([1:M_.exo_nbr],find(diag(M_.Sigma_e) == 0));
nxs = length(i_exo_var);
oo_.exo_simul = zeros(options_.periods,M_.exo_nbr);
chol_S = chol(M_.Sigma_e(i_exo_var,i_exo_var));
for i=1:replic
if ~isempty(M_.Sigma_e)
oo_.exo_simul(:,i_exo_var) = randn(options_.periods,nxs)*chol_S;
end
y_ = simult_(y0,dr,oo_.exo_simul,order);
% elimninating initial value
y_ = y_(:,2:end);
if replic > 1
fwrite(fh,y_,'float64');
end
end
if replic > 1
fclose(fh);
end
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