157 lines
5.1 KiB
Matlab
157 lines
5.1 KiB
Matlab
function varlist = check_list_of_variables(options_, M_, varlist)
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% This function defines, if necessary, the list of endogenous variables
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% for which the posterior statistics have to be computed.
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%
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%
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% INPUTS
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%
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% options_ [structure] Dynare structure.
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% M_ [structure] Dynare structure (related to model definition).
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% varlist [string] Array of strings with name of the endogenous variables.
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%
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% OUTPUTS
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% varlist [string]
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%
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% SPECIAL REQUIREMENTS
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% Copyright (C) 2003-2009 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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msg = 0;
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if options_.bvar_dsge && options_.bayesian_irf
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if ~isempty(varlist)
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for i=1:size(varlist,1)
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idx = strmatch(deblank(varlist(i,:)),options_.varobs,'exact');
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if isempty(idx)
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disp([varlist(i,:) ' is not an observed variable!']);
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msg = 1;
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end
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end
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if size(varlist,1)~=size(options_.varobs)
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msg = 1;
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end
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if msg
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disp(' ')
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disp('Posterior IRFs will be computed for all observed variables.')
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disp(' ')
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end
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end
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varlist = options_.varobs;
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return
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end
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if isempty(varlist)
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disp(' ')
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disp(['You did not declare endogenous variables after the estimation command.'])
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cas = [];
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if options_.bayesian_irf
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cas = 'Posterior IRFs';
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end
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if options_.moments_varendo
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if isempty(cas)
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cas = 'Posterior moments';
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else
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cas = [ cas , ', posterior moments'];
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end
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end
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if options_.smoother
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if isempty(cas)
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cas = 'Posterior smoothed variables';
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else
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cas = [ cas , ', posterior smoothed variables'];
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end
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end
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if options_.smoother
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if isempty(cas)
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cas = 'Posterior smoothed variables';
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else
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cas = [ cas , ', posterior smoothed variables'];
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end
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end
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if ~isempty(options_.filter_step_ahead)
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if isempty(cas)
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cas = 'Posterior k-step ahead filtered variables';
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else
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cas = [ cas , ', posterior k-step ahead filtered variables'];
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end
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end
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if options_.forecast
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if isempty(cas)
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cas = 'Posterior forecasts';
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else
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cas = [ cas , ' and posterior forecats'];
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end
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end
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if ~isempty(cas)
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string = [ cas , ' will be computed for the ' num2str(M_.endo_nbr) ' endogenous variables'];
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string = [ string ' of your model, this can be very long....'];
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format_text(string, 10)
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choice = [];
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while isempty(choice)
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disp(' ')
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disp(' ')
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disp('Choose one of the following options:')
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disp(' ')
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disp(' [1] Consider all the endogenous variables.')
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disp(' [2] Consider all the observed endogenous variables.')
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disp(' [3] Stop Dynare and change the mod file.')
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disp(' ')
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choice = input('options [default is 1] = ');
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if isempty(choice)
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choice=1;
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end
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if choice==1
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varlist = M_.endo_names;
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elseif choice==2
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varlist = options_.varobs;
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elseif choice==3
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varlist = NaN;
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else
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disp('')
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disp('YOU HAVE TO ANSWER 1, 2 or 3!')
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disp('')
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end
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end
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end
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if isnan(varlist)
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edit([M_.fname '.mod'])
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end
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disp('')
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end
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function format_text(remain, max_number_of_words_per_line)
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index = 0;
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line_of_text = [];
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while ~isempty(remain)
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[token, remain] = strtok(remain);
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index = index+1;
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if isempty(line_of_text)
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line_of_text = token;
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else
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line_of_text = [line_of_text , ' ' , token];
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end
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if index==max_number_of_words_per_line
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disp(line_of_text)
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index = 0;
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line_of_text = [];
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end
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end
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if index<max_number_of_words_per_line
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disp(line_of_text)
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end |