2009-12-16 18:17:34 +01:00
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function yf=forcst2a(y0,dr,e)
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2015-03-01 19:34:22 +01:00
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% function yf=forcst2a(y0,dr,e)
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2017-05-16 15:10:20 +02:00
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% computes forecasts based on first order model solution, assuming the absence of shocks
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2015-03-01 19:34:22 +01:00
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% Inputs:
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% - y0 [endo_nbr by maximum_endo_lag] matrix of starting values
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% - dr [structure] structure with Dynare decision rules
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% - e [horizon by exo_nbr] matrix with shocks
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%
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% Outputs:
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% - yf [horizon+maximum_endo_lag,endo_nbr] matrix of forecasts
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%
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2017-05-18 18:36:38 +02:00
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% Copyright (C) 2008-2017 Dynare Team
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2009-12-16 18:17:34 +01:00
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%
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% This file is part of Dynare.
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%
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% Dynare is free software: you can redistribute it and/or modify
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% it under the terms of the GNU General Public License as published by
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% the Free Software Foundation, either version 3 of the License, or
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% (at your option) any later version.
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%
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% Dynare is distributed in the hope that it will be useful,
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% but WITHOUT ANY WARRANTY; without even the implied warranty of
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% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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% GNU General Public License for more details.
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%
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% You should have received a copy of the GNU General Public License
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2021-06-09 17:33:48 +02:00
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% along with Dynare. If not, see <https://www.gnu.org/licenses/>.
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2009-12-16 18:17:34 +01:00
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global M_ options_
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endo_nbr = M_.endo_nbr;
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ykmin_ = M_.maximum_endo_lag;
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horizon = size(e,1);
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k1 = [ykmin_:-1:1];
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k2 = dr.kstate(find(dr.kstate(:,2) <= ykmin_+1),[1 2]);
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k2 = k2(:,1)+(ykmin_+1-k2(:,2))*endo_nbr;
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yf = zeros(horizon+ykmin_,endo_nbr);
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yf(1:ykmin_,:) = y0';
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j = ykmin_*endo_nbr;
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for i=ykmin_+(1:horizon)
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tempx = yf(k1,:)';
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yf(i,:) = tempx(k2)'*dr.ghx';
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k1 = k1+1;
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end
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yf(:,dr.order_var) = yf;
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