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function yf=forcst2a(y0,dr,e)
% function yf=forcst2a(y0,dr,e)
% computes forecasts based on first order model solution, assuming the absence of shocks
% Inputs:
% - y0 [endo_nbr by maximum_endo_lag] matrix of starting values
% - dr [structure] structure with Dynare decision rules
% - e [horizon by exo_nbr] matrix with shocks
%
% Outputs:
% - yf [horizon+maximum_endo_lag,endo_nbr] matrix of forecasts
%
% Copyright (C) 2008-2017 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/>.
global M_ options_
endo_nbr = M_.endo_nbr;
ykmin_ = M_.maximum_endo_lag;
horizon = size(e,1);
k1 = [ykmin_:-1:1];
k2 = dr.kstate(find(dr.kstate(:,2) <= ykmin_+1),[1 2]);
k2 = k2(:,1)+(ykmin_+1-k2(:,2))*endo_nbr;
yf = zeros(horizon+ykmin_,endo_nbr);
yf(1:ykmin_,:) = y0';
j = ykmin_*endo_nbr;
for i=ykmin_+(1:horizon)
tempx = yf(k1,:)';
yf(i,:) = tempx(k2)'*dr.ghx';
k1 = k1+1;
end
yf(:,dr.order_var) = yf;
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