/usr/share/dynare/matlab/disp_moments.m is in dynare-common 4.4.1-1build1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 | function disp_moments(y,var_list)
% Displays moments of simulated variables
% Copyright (C) 2001-2012 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/>.
global M_ options_ oo_
warning_old_state = warning;
warning off
if size(var_list,1) == 0
var_list = M_.endo_names(1:M_.orig_endo_nbr, :);
end
nvar = size(var_list,1);
ivar=zeros(nvar,1);
for i=1:nvar
i_tmp = strmatch(var_list(i,:),M_.endo_names,'exact');
if isempty(i_tmp)
error (['One of the variable specified does not exist']) ;
else
ivar(i) = i_tmp;
end
end
y = y(ivar,options_.drop+1:end)';
m = mean(y);
if options_.hp_filter
[hptrend,y] = sample_hp_filter(y,options_.hp_filter);
else
y = bsxfun(@minus, y, m);
end
s2 = mean(y.*y);
s = sqrt(s2);
oo_.mean = transpose(m);
oo_.var = y'*y/size(y,1);
labels = deblank(M_.endo_names(ivar,:));
if options_.nomoments == 0
z = [ m' s' s2' (mean(y.^3)./s2.^1.5)' (mean(y.^4)./(s2.*s2)-3)' ];
title='MOMENTS OF SIMULATED VARIABLES';
if options_.hp_filter
title = [title ' (HP filter, lambda = ' ...
num2str(options_.hp_filter) ')'];
end
headers=char('VARIABLE','MEAN','STD. DEV.','VARIANCE','SKEWNESS', ...
'KURTOSIS');
dyntable(title,headers,labels,z,size(labels,2)+2,16,6);
end
if options_.nocorr == 0
corr = (y'*y/size(y,1))./(s'*s);
if options_.noprint == 0
title = 'CORRELATION OF SIMULATED VARIABLES';
if options_.hp_filter
title = [title ' (HP filter, lambda = ' ...
num2str(options_.hp_filter) ')'];
end
headers = char('VARIABLE',M_.endo_names(ivar,:));
dyntable(title,headers,labels,corr,size(labels,2)+2,8,4);
end
end
ar = options_.ar;
if ar > 0
autocorr = [];
for i=1:ar
oo_.autocorr{i} = y(ar+1:end,:)'*y(ar+1-i:end-i,:)./((size(y,1)-ar)*std(y(ar+1:end,:))'*std(y(ar+1-i:end-i,:)));
autocorr = [ autocorr diag(oo_.autocorr{i}) ];
end
if options_.noprint == 0
title = 'AUTOCORRELATION OF SIMULATED VARIABLES';
if options_.hp_filter
title = [title ' (HP filter, lambda = ' ...
num2str(options_.hp_filter) ')'];
end
headers = char('VARIABLE',int2str([1:ar]'));
dyntable(title,headers,labels,autocorr,size(labels,2)+2,8,4);
end
end
warning(warning_old_state);
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