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41 results

display_conditional_variance_decomposition.m

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  • Forked from Dynare / dynare
    Source project has a limited visibility.
    dynare_estimation_init.m 11.92 KiB
    function [dataset_,xparam1, M_, options_, oo_, estim_params_,bayestopt_, fake] = dynare_estimation_init(var_list_, dname, gsa_flag, M_, options_, oo_, estim_params_, bayestopt_)
    
    % function dynare_estimation_init(var_list_, gsa_flag)
    % preforms initialization tasks before estimation or
    % global sensitivity analysis
    %
    % INPUTS
    %   var_list_:  selected endogenous variables vector
    %   dname:      alternative directory name
    %   gsa_flag:   flag for GSA operation (optional)
    %
    % OUTPUTS
    %   data:    data after required transformation
    %   rawdata:  data as in the data file
    %   xparam1:    initial value of estimated parameters as returned by
    %               set_prior()
    %
    % SPECIAL REQUIREMENTS
    %   none
    
    % Copyright (C) 2003-2011 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 isempty(gsa_flag)
        gsa_flag = 0;
    else% Decide if a DSGE or DSGE-VAR has to be estimated.
        if ~isempty(strmatch('dsge_prior_weight',M_.param_names))
            options_.dsge_var = 1;
        end
        var_list_ = check_list_of_variables(options_, M_, var_list_);
        options_.varlist = var_list_;
    end
    
    % Get the indices of the observed variables in M_.endo_names.
    options_.lgyidx2varobs = zeros(size(M_.endo_names,1),1);
    for i = 1:size(M_.endo_names,1)
        tmp = strmatch(deblank(M_.endo_names(i,:)),options_.varobs,'exact');
        if ~isempty(tmp)
            if length(tmp)>1
                disp(' ')
                error(['Multiple declarations of ' deblank(M_.endo_names(i,:)) ' as an observed variable is not allowed!'])
            end
            options_.lgyidx2varobs(i) = tmp;
        end
    end
    
    % Set the order of approximation to one (if needed).
    if options_.order > 1 && isempty(options_.nonlinear_filter)
        disp('This version of Dynare cannot estimate non linearized models!')
        disp('Set "order" equal to 1.')
        disp(' ')
        options_.order = 1;
    end
    
    % Set options_.lik_init equal to 3 if diffuse filter is used or
    % kalman_algo refers to a diffuse filter algorithm.