/usr/share/dynare/matlab/model_diagnostics.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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 | function model_diagnostics(M,options,oo)
% function model_diagnostics(M,options,oo)
% computes various diagnostics on the model
% INPUTS
% M [matlab structure] Definition of the model.
% options [matlab structure] Global options.
% oo [matlab structure] Results
%
% OUTPUTS
% none
%
% ALGORITHM
% ...
%
% SPECIAL REQUIREMENTS
% none.
%
% Copyright (C) 1996-2013 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/>.
global jacob
endo_nbr = M.endo_nbr;
endo_names = M.endo_names;
lead_lag_incidence = M.lead_lag_incidence;
maximum_endo_lag = M.maximum_endo_lag;
%
% missing variables at the current period
%
k = find(lead_lag_incidence(maximum_endo_lag+1,:)==0);
if ~isempty(k)
disp(['The following endogenous variables aren''t present at ' ...
'the current period in the model:'])
for i=1:length(k)
disp(endo_names(k(i),:))
end
end
%
% check steady state
%
info = 0;
if M.exo_nbr == 0
oo.exo_steady_state = [] ;
end
% check if ys is steady state
[dr.ys,params,check1]=evaluate_steady_state(oo.steady_state,M,options,oo,1);
% testing for problem
if check1(1)
disp('model diagnostic can''t obtain the steady state')
if any(isnan(dr.ys))
disp(['model diagnostic obtains a steady state with NaNs'])
end
if any(isinf(dr.ys))
disp(['model diagnostic obtains a steady state with Inf'])
end
return;
end
if ~isreal(dr.ys)
disp(['model diagnostic obtains a steady state with complex ' ...
'numbers'])
return
end
%
% singular Jacobian of static model
%
singularity_problem = 0;
if ~isfield(M,'block_structure_stat')
nb = 1;
else
nb = length(M.block_structure_stat.block);
end
exo = [oo.exo_steady_state; oo.exo_det_steady_state];
for b=1:nb
if options.bytecode
if nb == 1
[chk, res, jacob] = bytecode(dr.ys, exo, M.params, dr.ys, 1, exo, ...
'evaluate', 'static');
else
[chk, res, jacob] = bytecode(dr.ys, exo, M.params, dr.ys, 1, exo, ...
'evaluate', 'static',['block=' ...
int2str(b)]);
end
else
[res,jacob]=feval([M.fname '_static'],dr.ys,exo,M.params);
end
rank_jacob = rank(jacob);
if rank_jacob < size(jacob,1)
singularity_problem = 1;
disp(['model_diagnostic: the Jacobian of the static model is ' ...
'singular'])
disp(['there is ' num2str(endo_nbr-rank_jacob) ...
' colinear relationships between the variables and the equations'])
ncol = null(jacob);
n_rel = size(ncol,2);
for i = 1:n_rel
if n_rel > 1
disp(['Relation ' int2str(i)])
end
disp('Colinear variables:')
for j=1:10
k = find(abs(ncol(:,i)) > 10^-j);
if max(abs(jacob(:,k)*ncol(k,i))) < 1e-6
break
end
end
disp(endo_names(k,:))
end
neq = null(jacob');
n_rel = size(neq,2);
for i = 1:n_rel
if n_rel > 1
disp(['Relation ' int2str(i)])
end
disp('Colinear equations')
for j=1:10
k = find(abs(neq(:,i)) > 10^-j);
if max(abs(jacob(k,:)'*neq(k,i))) < 1e-6
break
end
end
disp(k')
end
end
end
if singularity_problem
fprintf('The presence of a singularity problem typically indicates that there is one\n')
fprintf('redundant equation entered in the model block, while another non-redundant equation\n')
fprintf('is missing. The problem often derives from Walras Law.\n')
end
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