57 lines
2.2 KiB
Matlab
57 lines
2.2 KiB
Matlab
function display_conditional_variance_decomposition(conditional_decomposition_array,Steps,SubsetOfVariables,M_,options_)
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% This function displays the conditional variance decomposition of a given state space model
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% for a subset of endogenous variables.
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%
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% INPUTS
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% conditional_decomposition_array [matrix] Output matrix from compute_conditional_variance_decomposition
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% Steps [integer] 1*h vector of dates.
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% SubsetOfVariables [integer] 1*q vector of indices.
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% M_ [structure] Dynare structure containing the
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% Model description
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% options_ [structure] Dynare structure containing the
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% options
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% OUTPUTS
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% none
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%
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% Copyright (C) 2010-2014 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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if options_.order == 2
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skipline()
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disp('APPROXIMATED CONDITIONAL VARIANCE DECOMPOSITION (in percent)')
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else
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skipline()
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disp('CONDITIONAL VARIANCE DECOMPOSITION (in percent)')
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end
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vardec_i = zeros(length(SubsetOfVariables),M_.exo_nbr);
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for i=1:length(Steps)
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disp(['Period ' int2str(Steps(i)) ':'])
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for j=1:M_.exo_nbr
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vardec_i(:,j) = 100*conditional_decomposition_array(:, ...
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i,j);
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end
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headers = M_.exo_names;
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headers(M_.exo_names_orig_ord,:) = headers;
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headers = char(' ',headers);
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lh = size(deblank(M_.endo_names(SubsetOfVariables,:)),2)+2;
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dyntable('',headers,...
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deblank(M_.endo_names(SubsetOfVariables,:)),...
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vardec_i,lh,8,2);
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end |