79 lines
2.6 KiB
Matlab
79 lines
2.6 KiB
Matlab
function read(json)
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% function varargout = read(json)
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% Read JSON and run perfect foresight solver. Potentially return output as
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% JSON
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%
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% INPUTS
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% json [string] JSON string representing options to run perfect
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% foresight solver
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%
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% OUTPUTS
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% none
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%
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% SPECIAL REQUIREMENTS
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% none
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% Copyright © 2019-2020 Dynare Team
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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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% along with Dynare. If not, see <https://www.gnu.org/licenses/>.
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global M_ options_ oo_
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%loading JSON
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jm = loadjson_(json, 'SimplifyCell', 1);
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data2json=struct();
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M_.exo_det_length = 0;
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for nshocks = 1:length(jm.stochasticshocksdescription)
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covartype=jm.stochasticshocksdescription{nshocks}.shockattributevalue;
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thisshock=(jm.stochasticshocksdescription{nshocks}.shockindex)+1;
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assoshock=(jm.stochasticshocksdescription{nshocks}.assoshockindex)+1;
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switch covartype
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case 1
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M_.Sigma_e(thisshock, thisshock) = (jm.stochasticshocksdescription{nshocks}.shockvalue)^2;
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case 2
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M_.Sigma_e(thisshock, thisshock) = jm.stochasticshocksdescription{nshocks}.shockvalue;
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case 3
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M_.Sigma_e(thisshock, assoshock) = jm.stochasticshocksdescription{nshocks}.shockvalue;
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M_.Sigma_e(assoshock, thisshock) = M_.Sigma_e(thisshock, assoshock);
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M_.sigma_e_is_diagonal = 0;
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case 4
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M_.Sigma_e(thisshock, assoshock) = 2*sqrt(M_.Sigma_e(thisshock, thisshock)*M_.Sigma_e(assoshock, assoshock));
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M_.Sigma_e(assoshock, thisshock) = M_.Sigma_e(thisshock, assoshock);
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M_.Correlation_matrix(thisshock, assoshock) = jm.stochasticshocksdescription{nshocks}.shockvalue;
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M_.Correlation_matrix(assoshock, thisshock) = M_.Correlation_matrix(thisshock, assoshock);
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M_.sigma_e_is_diagonal = 0;
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end
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end
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options_.irf = jm.irfperiods;
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options_.nograph = 1;
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options_.order = jm.taylororder;
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% if jm.taylororder==3
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% options_.k_order_solver = 3;
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% end
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var_list_ = char();
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[~, oo_, options_] = stoch_simul(M_, options_, oo_, var_list_);
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irfnames=fieldnames(oo_.irfs);
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for jj = 1:numel(fieldnames(oo_.irfs))
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data2json.irfs.(strtrim(char(irfnames(jj))))=oo_.irfs.(irfnames{jj});
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end
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savejson('',data2json,'stochsimout.JSON');
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return;
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