180 lines
8.9 KiB
Matlab
180 lines
8.9 KiB
Matlab
function print_info(info, noprint, DynareOptions)
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% Prints error messages
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%
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% INPUTS
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% info [double] vector returned by resol.m
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% noprint [integer] equal to 0 if the error message has to be printed.
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% DynareOptions [structure] --> options_
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% OUTPUTS
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% none
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%
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% SPECIAL REQUIREMENTS
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% none
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% Copyright (C) 2005-2018 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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if ~noprint
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switch info(1)
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case 1
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error(['The model doesn''t determine the current variables' ...
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' uniquely'])
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case 2
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error(['The generalized Schur (QZ) decomposition failed. ' ...
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'For more information, see the documentation for Lapack function dgges: info=' ...
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int2str(info(2)) ', n=' int2str(info(3)) ...
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'. You can also run model_diagnostics to get more information on what may cause this problem.'])
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case 3
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error(['Blanchard Kahn conditions are not satisfied: no stable' ...
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' equilibrium'])
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case 4
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error(['Blanchard Kahn conditions are not satisfied:' ...
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' indeterminacy'])
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case 5
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error(['Blanchard Kahn conditions are not satisfied:' ...
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' indeterminacy due to rank failure'])
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case 6
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error(['The Jacobian matrix evaluated at the steady state contains elements ' ...
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'that are not real or are infinite'])
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case 7
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error('One of the eigenvalues is close to 0/0 (the absolute value of numerator and denominator is smaller than %s!\n If you believe that the model has a unique solution you can try to reduce the value of qz_zero_threshold.',num2str(DynareOptions.qz_zero_threshold))
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case 8
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if size(info,2)>=2
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global M_;
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disp_string = M_.param_names{info(2)};
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for ii=1:length(info)-2
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disp_string = [disp_string, ', ', M_.param_names{info(2+ii)}];
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end
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error(['The Jacobian contains NaNs because the following parameters are NaN: ' disp_string])
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else
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error(['The Jacobian contains NaNs. For more information, use options_.debug.'])
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end
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case 9
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error(['k_order_pert was unable to compute the solution'])
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case 10
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error(['The Jacobian of the dynamic model contains Inf. For more information, use options_.debug.'])
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case 11
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error('The Hessian of the dynamic model used for second order solutions must not contain Inf')
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case 12
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error('The Hessian of the dynamic model used for second order solutions must not contain NaN')
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case 19
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error('The steadystate file did not compute the steady state')
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case 20
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if DynareOptions.linear
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error(['Impossible to find the steady state. Either the model' ...
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' doesn''t have a steady state or there are an infinity of steady states.' ...
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' Check whether your model is truly linear or whether there is a mistake in linearization.'])
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else
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error(['Impossible to find the steady state. Either the model' ...
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' doesn''t have a steady state, there are an infinity of steady states,' ...
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' or the guess values are too far from the solution'])
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end
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case 21
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error('The steady state is complex')
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case 22
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error('The steady state contains NaN or Inf')
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case 23
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error('Some updated params are complex')
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case 24
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error('Some updated params contain NaN or Inf')
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case 25
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error('The solution to the static equations is not a steady state of the dynamic model: verify that the equations tagged by [static] and [dynamic] are consistent')
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case 26
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error('The loglinearization of the model cannot be performed, because the steady state is not strictly positive.')
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case 30
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error('Variance can''t be computed')
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case 41
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error('one (many) parameter(s) do(es) not satisfy the lower bound');
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case 42
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error('one (many) parameter(s) do(es) not satisfy the upper bound');
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case 43
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error('Covariance matrix of structural shocks is not positive definite')
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case 44 %DsgeLikelihood_hh / dsge_likelihood
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error('The covariance matrix of the measurement errors is not positive definite.');
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case 45 %DsgeLikelihood_hh / dsge_likelihood
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error('Likelihood is not a number (NaN) or a complex number');
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case 46 %DsgeLikelihood_hh / dsge_likelihood
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error('Likelihood is a complex number');
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case 47 %DsgeLikelihood_hh / dsge_likelihood
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error('Prior density is not a number (NaN)');
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case 48 %DsgeLikelihood_hh / dsge_likelihood
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error('Prior density is a complex number');
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case 49
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error('The model violates one (many) endogenous prior restriction(s)')
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case 50
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error('Likelihood is Inf')
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case 51
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fprintf('\n The dsge_prior_weight is dsge_var=%5.4f, but must be at least %5.4f for the prior to be proper.\n',info(2),info(3));
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error('You are estimating a DSGE-VAR model, but the value of the dsge prior weight is too low!')
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case 52 %dsge_var_likelihood
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error('You are estimating a DSGE-VAR model, but the implied covariance matrix of the VAR''s innovations, based on artificial and actual sample is not positive definite!');
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case 53 %dsge_var_likelihood
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error('You are estimating a DSGE-VAR model, but the implied covariance matrix of the VAR''s innovations, based on the artificial sample, is not positive definite!');
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case 55
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error('Fast Kalman filter only works with stationary models [lik_init=1] or stationary observables for non-stationary models [lik_init=3]')
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case 61 %Discretionary policy
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error(['Discretionary policy: maximum number of iterations has been reached. Procedure failed. ']);
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case 62
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error(['Discretionary policy: some eigenvalues greater than options_.qz_criterium. Model potentially unstable.']);
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case 63
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error(['Discretionary policy: NaN elements are present in the solution. Procedure failed.']);
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case 71
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error(['Calibrated covariance of the structural errors implies correlation larger than +-1.']);
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case 72
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error(['Calibrated covariance of the measurement errors implies correlation larger than +-1.']);
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% Aim Code Conversions by convertAimCodeToInfo.m
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case 81
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error(['Ramsey: The solution to the static first order conditions for optimal policy could not be found. Either the model' ...
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' doesn''t have a steady state, there are an infinity of steady states, ' ...
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' or the guess values are too far from the solution']);
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case 82
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error(['Ramsey: The steady state computation resulted in NaN in the static first order conditions for optimal policy']);
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case 83
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error(['Ramsey: The steady state computation resulted in NaN in the auxiliary equations for optimal policy']);
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case 84
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error(['Ramsey: The steady state file computation for the Ramsey problem resulted in NaNs at the initial values of the instruments']);
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case 85
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error(['Ramsey: The steady state file does not solve the static first order conditions conditional on the instruments.']);
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case 86
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error(['Ramsey: The steady state file provides complex numbers conditional on the instruments.']);
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case 87
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error(['Ramsey: The maximum number of iterations has been reached. Try increasing maxit.']);
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case 102
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error('Aim: roots not correctly computed by real_schur');
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case 103
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error('Aim: too many explosive roots: no stable equilibrium');
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case 135
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error('Aim: too many explosive roots, and q(:,right) is singular');
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case 104
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error('Aim: too few explosive roots: indeterminacy');
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case 145
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error('Aim: too few explosive roots, and q(:,right) is singular');
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case 105
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error('Aim: q(:,right) is singular');
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case 161
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error('Aim: too many exact shiftrights');
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case 162
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error('Aim: too many numeric shiftrights');
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case 163
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error('Aim: A is NAN or INF.')
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case 164
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error('Aim: Problem in SPEIG.')
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otherwise
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error('This case shouldn''t happen. Contact the authors of Dynare')
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end
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end
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