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function varlist = check_list_of_variables(options_, M_, varlist)
% This function defines, if necessary, the list of endogenous variables
% for which the posterior statistics have to be computed.
%
%
% INPUTS
%
% options_ [structure] Dynare structure.
% M_ [structure] Dynare structure (related to model definition).
% varlist [string] Array of strings with name of the endogenous variables.
%
% OUTPUTS
% varlist [string]
%
% SPECIAL REQUIREMENTS
% Copyright (C) 2003-2014 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/>.
msg = 0;
if options_.dsge_var && options_.bayesian_irf
if ~isempty(varlist)
for i=1:size(varlist,1)
idx = strmatch(deblank(varlist(i,:)),options_.varobs,'exact');
if isempty(idx)
disp([varlist(i,:) ' is not an observed variable!']);
msg = 1;
end
end
if size(varlist,1)~=size(options_.varobs)
msg = 1;
end
if msg
skipline()
disp('Posterior IRFs will be computed for all observed variables.')
skipline()
end
end
varlist = options_.varobs;
return
end
if isempty(varlist)
skipline()
disp(['You did not declare endogenous variables after the estimation/calib_smoother command.'])
cas = [];
if options_.bayesian_irf
cas = 'Posterior IRFs';
end
if options_.moments_varendo
if isempty(cas)
cas = 'Posterior moments';
else
cas = [ cas , ', posterior moments'];
end
end
if options_.smoother
if isempty(cas)
cas = 'Smoothed variables';
else
cas = [ cas , ', smoothed variables'];
end
end
if ~isempty(options_.filter_step_ahead)
if isempty(cas)
cas = 'k-step ahead filtered variables';
else
cas = [ cas , ', k-step ahead filtered variables'];
end
end
if options_.forecast
if isempty(cas)
cas = 'Forecasts';
else
cas = [ cas , ' and forecasts'];
end
end
if ~isempty(cas)
string = [ cas , ' will be computed for the ' num2str(M_.endo_nbr) ' endogenous variables'];
string = [ string ' of your model, this can be very long....'];
format_text(string, 10)
if options_.nointeractive
% Default behaviour is to consider all the endogenous variables.
varlist = M_.endo_names(1:M_.orig_endo_nbr, :);
else
choice = [];
while isempty(choice)
skipline(2)
disp('Choose one of the following options:')
skipline()
disp(' [1] Consider all the endogenous variables.')
disp(' [2] Consider all the observed endogenous variables.')
disp(' [3] Stop Dynare and change the mod file.')
skipline()
choice = input('options [default is 1] = ');
if isempty(choice)
choice=1;
end
if choice==1
varlist = M_.endo_names(1:M_.orig_endo_nbr, :);
elseif choice==2
varlist = options_.varobs;
elseif choice==3
varlist = NaN;
else
skipline()
disp('YOU HAVE TO ANSWER 1, 2 or 3!')
skipline()
end
end
end
end
if isnan(varlist)
edit([M_.fname '.mod'])
end
skipline()
end
function format_text(remain, max_number_of_words_per_line)
index = 0;
line_of_text = [];
while ~isempty(remain)
[token, remain] = strtok(remain);
index = index+1;
if isempty(line_of_text)
line_of_text = token;
else
line_of_text = [line_of_text , ' ' , token];
end
if index==max_number_of_words_per_line
disp(line_of_text)
index = 0;
line_of_text = [];
end
end
if index<max_number_of_words_per_line
disp(line_of_text)
end
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