74 lines
2.6 KiB
Matlab
74 lines
2.6 KiB
Matlab
function dummy = set(pacmodl, paceq, variable, nonzeromean)
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% Provide information about long run levels of exogenous variables in PAC equation.
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%
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% INPUTS
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% - pacmodel [char] 1×n array, name of the PAC model
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% - paceq [char] 1×m array, name of the PAC equation
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% - variable [char] 1×p array, name of the variable (exogenous variable in the PAC equation)
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% - nonzeromean [double] scalar, mean of the exogenous variable
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%
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% OUPUTS
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% - dummy [double] empty array.
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% Copyright © 2019-2021 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_
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dummy = [];
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pacmodel = M_.pac.(pacmodl);
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ide = find(strcmp(variable, M_.endo_names));
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xflag = false;
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if isempty(ide)
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% variable is not an endogenous variable
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ide = find(strcmp(variable, M_.exo_names));
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xflag = true;
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end
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if ~isempty(ide)
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[pacmodel, done] = writebgpfield('additive', pacmodel, ide, xflag, nonzeromean);
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if done, M_.pac.(pacmodl) = pacmodel; return, end
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[pacmodel, done] = writebgpfield('optim_additive', pacmodel, ide, xflag, nonzeromean);
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if done, M_.pac.(pacmodl) = pacmodel; return, end
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[pacmodel, done] = writebgpfield('non_optimizing_behaviour', pacmodel, ide, xflag, nonzeromean);
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if done, M_.pac.(pacmodl) = pacmodel; return, end
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warning('%s is not an exogenous variable in equation %s.', variable, paceq)
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else
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error('Endogenous/Exogenous variable %s is unknown.', variable)
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end
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function [pacmodel, done] = writebgpfield(type, pacmodel, ide, xflag, nonzeromean, M_)
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done = false;
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if isfield(pacmodel, type)
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if ~isfield(pacmodel.additive, 'bgp')
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pacmodel.(type).bgp = repmat({false}, 1, length(pacmodel.(type).params));
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end
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[isvar, ie] = ismember(ide, pacmodel.(type).vars);
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if isvar
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if xflag
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assert(~pacmodel.(type).isendo(ie), 'Variable type issue.')
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else
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assert(pacmodel.(type).isendo(ie), 'Variable type issue.')
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end
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pacmodel.(type).bgp{ie} = nonzeromean;
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done = true;
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end
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end |