1function [eigenvalues_,result,info] = check(M, options, oo)
2
3% Checks determinacy conditions by computing the generalized eigenvalues.
4%
5% INPUTS
6% - M             [structure]     Matlab's structure describing the model (M_).
7% - options       [structure]     Matlab's structure describing the current options (options_).
8% - oo            [structure]     Matlab's structure containing the results (oo_).
9%
10% OUTPUTS
11% - eigenvalues_  [double]        vector, eigenvalues.
12% - result        [integer]       scalar, equal to 1 if Blanchard and Kahn conditions are satisfied, zero otherwise.
13% - info          [integer]       scalar or vector, error code as returned by resol routine.
14
15% Copyright (C) 2001-2019 Dynare Team
16%
17% This file is part of Dynare.
18%
19% Dynare is free software: you can redistribute it and/or modify
20% it under the terms of the GNU General Public License as published by
21% the Free Software Foundation, either version 3 of the License, or
22% (at your option) any later version.
23%
24% Dynare is distributed in the hope that it will be useful,
25% but WITHOUT ANY WARRANTY; without even the implied warranty of
26% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
27% GNU General Public License for more details.
28%
29% You should have received a copy of the GNU General Public License
30% along with Dynare.  If not, see <http://www.gnu.org/licenses/>.
31
32
33if ~options.initval_file && M.exo_nbr > 1
34    oo.exo_simul = ones(M.maximum_lead+M.maximum_lag+1,1)*oo.exo_steady_state';
35end
36
37options.order = 1;
38
39if isempty(options.qz_criterium)
40    options.qz_criterium = 1+1e-6;
41end
42
43oo.dr=set_state_space(oo.dr,M,options);
44
45[dr,info,M,options,~] = resol(1,M,options,oo);
46
47if info(1) ~= 0 && info(1) ~= 3 && info(1) ~= 4
48    print_info(info, 0, options);
49end
50
51eigenvalues_ = dr.eigval;
52[m_lambda,i]=sort(abs(eigenvalues_));
53
54% Count number of forward looking variables
55if ~options.block
56    nyf = M.nsfwrd;
57else
58    nyf = 0;
59    for j = 1:length(M.block_structure.block)
60        nyf = nyf + M.block_structure.block(j).n_forward + M.block_structure.block(j).n_mixed;
61    end
62end
63
64result = 0;
65if (nyf == dr.edim) && (dr.full_rank)
66    result = 1;
67end
68
69if ~options.noprint
70    skipline()
71    disp('EIGENVALUES:')
72    disp(sprintf('%16s %16s %16s\n','Modulus','Real','Imaginary'))
73    z=[m_lambda real(eigenvalues_(i)) imag(eigenvalues_(i))]';
74    disp(sprintf('%16.4g %16.4g %16.4g\n',z))
75    disp(sprintf('\nThere are %d eigenvalue(s) larger than 1 in modulus ', dr.edim));
76    disp(sprintf('for %d forward-looking variable(s)',nyf));
77    skipline()
78    if result
79        disp('The rank condition is verified.')
80    else
81        disp('The rank condition ISN''T verified!')
82    end
83    skipline()
84end
85