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41 results

correlation_mc_analysis.m

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  • Forked from Dynare / dynare
    Source project has a limited visibility.
    correlation_mc_analysis.m 6.27 KiB
    function oo_ = correlation_mc_analysis(SampleSize,type,dname,fname,vartan,nvar,var1,var2,nar,mh_conf_sig,oo_,M_,options_)
    % This function analyses the (posterior or prior) distribution of the
    % endogenous variables correlation function.
    
    % Copyright (C) 2008-2013 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 <http://www.gnu.org/licenses/>.
    
    if strcmpi(type,'posterior')
        TYPE = 'Posterior';
        PATH = [dname '/metropolis/'];
    else
        TYPE = 'Prior';
        PATH = [dname '/prior/moments/'];
    end
    
    indx1 = check_name(vartan,var1);
    if isempty(indx1)
        disp([ type '_analysis:: ' var1 ' is not a stationary endogenous variable!'])
        return
    end
    if ~isempty(var2)
        indx2 = check_name(vartan,var2);
        if isempty(indx2)
            disp([ type '_analysis:: ' var2 ' is not a stationary endogenous variable!'])
            return
        end
    else
        indx2 = indx1;
        var2 = var1;
    end
    
    var1=deblank(var1);
    var2=deblank(var2);
    
    if isfield(oo_,[TYPE 'TheoreticalMoments'])
        temporary_structure = oo_.([TYPE, 'TheoreticalMoments']);
        if isfield(temporary_structure,'dsge')
            temporary_structure = oo_.([TYPE, 'TheoreticalMoments']).dsge;
            if isfield(temporary_structure,'correlation')
                temporary_structure = oo_.([TYPE, 'TheoreticalMoments']).dsge.correlation.Mean;
                if isfield(temporary_structure,deblank(var1))
                    temporary_structure_1 = oo_.([TYPE, 'TheoreticalMoments']).dsge.correlation.Mean.(var1);
                    if isfield(temporary_structure_1,deblank(var2))
                        temporary_structure_2 = temporary_structure_1.(var2);
                        l1 = length(temporary_structure_2);
                        if l1<nar
                            % INITIALIZATION:
                            oo_ = initialize_output_structure(var1,var2,nar,type,oo_);
                            delete([PATH fname '_' TYPE 'Correlations*'])
                            [nvar,vartan,NumberOfFiles] = ...
                                dsge_simulated_theoretical_correlation(SampleSize,nar,M_,options_,oo_,type);
                        else
                            if ~isnan(temporary_structure_2(nar))
                                %Nothing to do.
                                return
                            end