60 lines
2.8 KiB
Matlab
60 lines
2.8 KiB
Matlab
function dummy = set(pacmodel, paceq, parameter, isnonzeromean)
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% Copyright (C) 2019 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 <http://www.gnu.org/licenses/>.
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global M_
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eqtag = M_.pac.(pacmodel).tag_map{strcmp(paceq, M_.pac.(pacmodel).tag_map(:,1)),2};
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dummy = [];
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idp = find(strcmp(parameter, M_.param_names));
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if ~isempty(idp)
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if isfield(M_.pac.(pacmodel).equations.(eqtag), 'additive') && length(M_.pac.(pacmodel).equations.(eqtag).additive.vars)>1
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if ~isfield(M_.pac.(pacmodel).equations.(eqtag).additive, 'bgp')
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M_.pac.(pacmodel).equations.(eqtag).additive.bgp = false(1, length(M_.pac.(pacmodel).equations.(eqtag).additive.params));
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end
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[isparam, ip] = ismember(idp, M_.pac.(pacmodel).equations.(eqtag).additive.params);
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if isparam
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M_.pac.(pacmodel).equations.(eqtag).additive.bgp(ip) = isnonzeromean;
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return
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end
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end
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if isfield(M_.pac.(pacmodel).equations.(eqtag), 'optim_additive')
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if ~isfield(M_.pac.(pacmodel).equations.(eqtag).optim_additive, 'bgp')
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M_.pac.(pacmodel).equations.(eqtag).optim_additive.bgp = false(1, length(M_.pac.(pacmodel).equations.(eqtag).optim_additive.params));
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end
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[isparam, ip] = ismember(idp, M_.pac.(pacmodel).equations.(eqtag).optim_additive.params);
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if isparam
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M_.pac.(pacmodel).equations.(eqtag).optim_additive.bgp(ip) = isnonzeromean;
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return
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end
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end
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if isfield(M_.pac.(pacmodel).equations.(eqtag), 'non_optimizing_behaviour')
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if ~isfield(M_.pac.(pacmodel).equations.(eqtag).non_optimizing_behaviour, 'bgp')
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M_.pac.(pacmodel).equations.(eqtag).non_optimizing_behaviour.bgp = false(1, length(M_.pac.(pacmodel).equations.(eqtag).non_optimizing_behaviour.params));
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end
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[isparam, ip] = ismember(idp, M_.pac.(pacmodel).equations.(eqtag).non_optimizing_behaviour.params);
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if isparam
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M_.pac.(pacmodel).equations.(eqtag).non_optimizing_behaviour.bgp(ip) = isnonzeromean;
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return
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end
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end
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warning('Parameter %s is not associated to an exogenous variable in equation %s.', parameter, paceq)
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else
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error('Parameter %s is unknown.', parameter)
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end |