140 lines
4.9 KiB
Matlab
140 lines
4.9 KiB
Matlab
function [dr,info,M,options,oo] = resol(check_flag,M,options,oo)
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%@info:
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%! @deftypefn {Function File} {[@var{dr},@var{info},@var{M},@var{options},@var{oo}] =} resol (@var{check_flag},@var{M},@var{options},@var{oo})
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%! @anchor{resol}
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%! @sp 1
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%! Computes first and second order reduced form of the DSGE model.
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%! @sp 2
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%! @strong{Inputs}
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%! @sp 1
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%! @table @ @var
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%! @item check_flag
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%! Integer scalar, equal to 0 if all the approximation is required, positive if only the eigenvalues are to be computed.
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%! @item M
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%! Matlab's structure describing the model (initialized by @code{dynare}).
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%! @item options
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%! Matlab's structure describing the options (initialized by @code{dynare}).
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%! @item oo
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%! Matlab's structure gathering the results (initialized by @code{dynare}).
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%! @end table
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%! @sp 2
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%! @strong{Outputs}
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%! @sp 1
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%! @table @ @var
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%! @item dr
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%! Matlab's structure describing the reduced form solution of the model.
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%! @item info
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%! Integer scalar, error code.
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%! @sp 1
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%! @table @ @code
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%! @item info==0
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%! No error.
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%! @item info==1
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%! The model doesn't determine the current variables uniquely.
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%! @item info==2
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%! MJDGGES returned an error code.
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%! @item info==3
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%! Blanchard & Kahn conditions are not satisfied: no stable equilibrium.
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%! @item info==4
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%! Blanchard & Kahn conditions are not satisfied: indeterminacy.
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%! @item info==5
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%! Blanchard & Kahn conditions are not satisfied: indeterminacy due to rank failure.
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%! @item info==6
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%! The jacobian evaluated at the deterministic steady state is complex.
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%! @item info==19
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%! The steadystate routine thrown an exception (inconsistent deep parameters).
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%! @item info==20
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%! Cannot find the steady state, info(2) contains the sum of square residuals (of the static equations).
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%! @item info==21
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%! The steady state is complex, info(2) contains the sum of square of imaginary parts of the steady state.
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%! @item info==22
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%! The steady has NaNs.
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%! @item info==23
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%! M_.params has been updated in the steadystate routine and has complex valued scalars.
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%! @item info==24
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%! M_.params has been updated in the steadystate routine and has some NaNs.
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%! @item info==30
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%! Ergodic variance can't be computed.
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%! @end table
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%! @sp 1
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%! @item M
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%! Matlab's structure describing the model (initialized by @code{dynare}).
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%! @item options
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%! Matlab's structure describing the options (initialized by @code{dynare}).
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%! @item oo
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%! Matlab's structure gathering the results (initialized by @code{dynare}).
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%! @end table
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%! @sp 2
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%! @strong{This function is called by:}
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%! @sp 1
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%! @ref{dynare_estimation_init}
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%! @sp 2
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%! @strong{This function calls:}
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%! @sp 1
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%! None.
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%! @end deftypefn
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%@eod:
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% Copyright (C) 2001-2012 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 isfield(oo,'dr');
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dr = oo.dr;
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end
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if M.exo_nbr == 0
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oo.exo_steady_state = [] ;
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end
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[dr.ys,M.params,info] = evaluate_steady_state(oo.steady_state,M,options,oo,0);
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if info(1)
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return
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end
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if options.loglinear
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% Find variables with non positive steady state.
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idx = find(dr.ys<1e-9);
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if length(idx)
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variables_with_non_positive_steady_state = M.endo_names(idx,:);
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skipline()
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fprintf('You are attempting to simulate/estimate a loglinear approximation of a model, but\n')
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fprintf('the steady state level of the following variables is not strictly positive:\n')
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for i=1:length(idx)
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fprintf(' - %s (%s)\n',deblank(variables_with_non_positive_steady_state(idx,:)), num2str(dr.ys(idx)))
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end
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if isestimation()
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fprintf('You should check that the priors and/or bounds over the deep parameters are such')
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frpintf('the steady state levels of all the variables are strictly positive, or consider')
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fprintf('a linearization of the model instead of a log linearization.')
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else
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fprintf('You should check that the calibration of the deep parameters is such that the')
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fprintf('steady state levels of all the variables are strictly positive, or consider')
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fprintf('a linearization of the model instead of a log linearization.')
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end
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error('stoch_simul::resol: The loglinearization of the model cannot be performed because the steady state is not strictly positive!')
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end
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end
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if options.block
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[dr,info,M,options,oo] = dr_block(dr,check_flag,M,options,oo);
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else
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[dr,info] = stochastic_solvers(dr,check_flag,M,options,oo);
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end
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oo.dr = dr;
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