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bksup1: turn into a local function of sim1_lbj

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Sébastien Villemot 2023-02-17 21:08:17 -05:00
parent 24f689b2de
commit f938014e84
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2 changed files with 23 additions and 43 deletions
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42
matlab/bksup1.m
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@ -1,42 +0,0 @@
function d = bksup1(c,ny,jcf,iyf,periods)
% function d = bksup1(c,ny,jcf,iyf,periods)
% Solves deterministic models recursively by backsubstitution for one lead/lag
%
% INPUTS
% ny: number of endogenous variables
% jcf: variables index forward
%
% OUTPUTS
% d: vector of backsubstitution results
%
% SPECIAL REQUIREMENTS
% none
% Copyright © 2003-2017 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 <https://www.gnu.org/licenses/>.
ir = [(periods-2)*ny+1:ny+(periods-2)*ny] ;
irf = iyf+(periods-1)*ny ;
icf = [1:size(iyf,2)] ;
for i = 2:periods
c(ir,jcf) = c(ir,jcf)-c(ir,icf)*c(irf,jcf) ;
ir = ir-ny ;
irf = irf-ny ;
end
d = c(:,jcf) ;

24
matlab/perfect-foresight-models/sim1_lbj.m
View File

@ -15,7 +15,7 @@ function [endogenousvariables, info] = sim1_lbj(endogenousvariables, exogenousva
% SPECIAL REQUIREMENTS
% None.
% Copyright © 1996-2022 Dynare Team
% Copyright © 1996-2023 Dynare Team
%
% This file is part of Dynare.
%
@ -134,3 +134,25 @@ if verbose
end
skipline()
end
function d = bksup1(c,ny,jcf,iyf,periods)
% Solves deterministic models recursively by backsubstitution for one lead/lag
%
% INPUTS
% ny: number of endogenous variables
% jcf: variables index forward
%
% OUTPUTS
% d: vector of backsubstitution results
ir = [(periods-2)*ny+1:ny+(periods-2)*ny];
irf = iyf+(periods-1)*ny;
icf = [1:size(iyf,2)];
for i = 2:periods
c(ir,jcf) = c(ir,jcf)-c(ir,icf)*c(irf,jcf);
ir = ir-ny;
irf = irf-ny;
end
d = c(:,jcf);