119 lines
4.0 KiB
Matlab
119 lines
4.0 KiB
Matlab
function osr1(i_params,i_var,weights)
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% Copyright (C) 2005-2011 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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global M_ oo_ options_ it_
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klen = M_.maximum_lag + M_.maximum_lead + 1;
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iyv = M_.lead_lag_incidence';
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iyv = iyv(:);
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iyr0 = find(iyv) ;
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it_ = M_.maximum_lag + 1 ;
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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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if ~ M_.lead_lag_incidence(M_.maximum_lag+1,:) > 0
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error ('OSR: Error in model specification: some variables don''t appear as current') ;
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end
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if M_.maximum_lead == 0
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error ('Backward or static model: no point in using OSR') ;
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end
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exe =zeros(M_.exo_nbr,1);
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dr = set_state_space(oo_.dr,M_);
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% check if ys is steady state
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if exist([M_.fname '_steadystate'])
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[ys,check1] = feval([M_.fname '_steadystate'],oo_.steady_state,...
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[oo_.exo_steady_state; oo_.exo_det_steady_state]);
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if size(ys,1) < M_.endo_nbr
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if length(M_.aux_vars) > 0
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ys = add_auxiliary_variables_to_steadystate(ys,M_.aux_vars,...
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M_.fname,...
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oo_.exo_steady_state,...
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oo_.exo_det_steady_state,M_.params,...
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options_.bytecode);
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else
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error([M_.fname '_steadystate.m doesn''t match the model']);
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end
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end
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dr.ys = ys;
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else
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% testing if ys isn't a steady state or if we aren't computing Ramsey policy
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fh = str2func([M_.fname '_static']);
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if max(abs(feval(fh,oo_.steady_state,[oo_.exo_steady_state; oo_.exo_det_steady_state], M_.params))) ...
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> options_.dynatol && options_.ramsey_policy == 0
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if options_.linear == 0
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% nonlinear models
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[dr.ys,check1] = dynare_solve(fh,dr.ys,options_.jacobian_flag,...
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[oo_.exo_steady_state; ...
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oo_.exo_det_steady_state], M_.params);
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else
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% linear models
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[fvec,jacob] = feval(fh,oo_.steady_state,[oo_.exo_steady_state;...
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oo_.exo_det_steady_state], M_.params);
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dr.ys = oo_.steady_state-jacob\fvec;
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end
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end
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end
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oo_.dr = dr;
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% $$$ if max(abs(feval(fh, oo_.steady_state, exe, M_.params))) > options_.dynatol
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% $$$ [oo_.dr.ys, check] = dynare_solve([M_.fname '_static'], oo_.steady_state, 1, exe, M_.params);
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% $$$ if check
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% $$$ error('OLR: convergence problem in DYNARE_SOLVE')
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% $$$ end
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% $$$ else
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% $$$ oo_.dr.ys = oo_.steady_state;
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% $$$ end
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np = size(i_params,1);
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t0 = M_.params(i_params);
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inv_order_var = oo_.dr.inv_order_var;
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H0 = 1e-4*eye(np);
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crit = 1e-7;
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nit = 1000;
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verbose = 2;
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[f,p]=csminwel1('osr_obj',t0,H0,[],crit,nit,options_.gradient_method,options_.gradient_epsilon,i_params,...
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inv_order_var(i_var),weights(i_var,i_var));
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% options = optimset('fminunc');
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% options = optimset('display','iter');
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% [p,f]=fminunc(@osr_obj,t0,options,i_params,...
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% inv_order_var(i_var),weights(i_var,i_var));
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disp('')
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disp('OPTIMAL VALUE OF THE PARAMETERS:')
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disp('')
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for i=1:np
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disp(sprintf('%16s %16.6g\n',M_.param_names(i_params(i),:),p(i)))
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end
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disp(sprintf('Objective function : %16.6g\n',f));
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disp(' ')
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[oo_.dr,info,M_,options_,oo_] = resol(0,M_,options_,oo_);
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% 05/10/03 MJ modified to work with osr.m and give full report |