Removed oo_ from sim1_purely_{backward,forward} routines.
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0abb9dc6f9
commit
e0be60710c
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@ -63,9 +63,11 @@ else
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end
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else
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if M_.maximum_endo_lead == 0 % Purely backward model
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oo_ = sim1_purely_backward(options_, M_, oo_);
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[oo_.endo_simul, oo_.deterministic_simulation] = ...
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sim1_purely_backward(oo_.endo_simul, oo_.exo_simul, oo_.steady_state, M_, options_);
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elseif M_.maximum_endo_lag == 0 % Purely forward model
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oo_ = sim1_purely_forward(options_, M_, oo_);
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[oo_.endo_simul, oo_.deterministic_simulation] = ...
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sim1_purely_forward(oo_.endo_simul, oo_.exo_simul, oo_.steady_state, M_, options_);
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else % General case
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if options_.stack_solve_algo == 0
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if options_.linear_approximation
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@ -63,9 +63,11 @@ else
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end
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else
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if M_.maximum_endo_lead == 0 % Purely backward model
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oo_ = sim1_purely_backward(options_, M_, oo_);
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[oo_.endo_simul, oo_.deterministic_simulation] = ...
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sim1_purely_backward(oo_.endo_simul, oo_.exo_simul, oo_.steady_state, M_, options_);
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elseif M_.maximum_endo_lag == 0 % Purely forward model
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oo_ = sim1_purely_forward(options_, M_, oo_);
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[oo_.endo_simul, oo_.deterministic_simulation] = ...
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sim1_purely_forward(oo_.endo_simul, oo_.exo_simul, oo_.steady_state, M_, options_);
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else % General case
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if options_.stack_solve_algo == 0
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if options_.linear_approximation
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@ -1,4 +1,5 @@
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function oo_ = sim1_purely_backward(options_, M_, oo_)
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function [endogenousvariables, info] = sim1_purely_backward(endogenousvariables, exogenousvariables, steadystate, M, options)
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% Performs deterministic simulation of a purely backward model
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% Copyright (C) 2012-2015 Dynare Team
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@ -18,38 +19,34 @@ function oo_ = sim1_purely_backward(options_, M_, oo_)
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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 size(M_.lead_lag_incidence,1) > 1
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ny0 = nnz(M_.lead_lag_incidence(2,:)); % Number of variables at current period
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nyb = nnz(M_.lead_lag_incidence(1,:)); % Number of variables at previous period
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iyb = find(M_.lead_lag_incidence(1,:)>0); % Indices of variables at previous period
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else
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ny0 = nnz(M_.lead_lag_incidence(1,:)); % Number of variables at current period
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nyb = 0;
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iyb = [];
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end
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if size(M.lead_lag_incidence,1) > 1
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ny0 = nnz(M.lead_lag_incidence(2,:)); % Number of variables at current period
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nyb = nnz(M.lead_lag_incidence(1,:)); % Number of variables at previous period
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iyb = find(M.lead_lag_incidence(1,:)>0); % Indices of variables at previous period
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else
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ny0 = nnz(M.lead_lag_incidence(1,:)); % Number of variables at current period
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nyb = 0;
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iyb = [];
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end
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if ny0 ~= M_.endo_nbr
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error('SIMUL: all endogenous variables must appear at the current period')
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end
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if ny0 ~= M.endo_nbr
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error('All endogenous variables must appear at the current period!')
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end
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model_dynamic = str2func([M_.fname,'_dynamic']);
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dynamicmodel = str2func([M.fname,'_dynamic']);
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oo_.deterministic_simulation.status = 1;
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info.status = 1;
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for it = 2:options_.periods+1
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yb = oo_.endo_simul(:,it-1); % Values at previous period, also used as guess value for current period
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yb1 = yb(iyb);
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[tmp, check] = solve1(model_dynamic, [yb1; yb], 1:M_.endo_nbr, nyb+1:nyb+ ...
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M_.endo_nbr, 1, options_.gstep, ...
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options_.solve_tolf,options_.solve_tolx, ...
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options_.simul.maxit,options_.debug,oo_.exo_simul, ...
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M_.params, oo_.steady_state, it+M_.maximum_lag-1);
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if check
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oo_.deterministic_simulation.status = 0;
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end
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oo_.endo_simul(:,it) = tmp(nyb+1:nyb+M_.endo_nbr);
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for it = 2:options.periods+1
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yb = endogenousvariables(:,it-1); % Values at previous period, also used as guess value for current period
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yb1 = yb(iyb);
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[tmp, check] = solve1(dynamicmodel, [yb1; yb], 1:M.endo_nbr, nyb+1:nyb+M.endo_nbr, ...
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1, options.gstep, options.solve_tolf, options.solve_tolx, ...
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options.simul.maxit, options.debug, exogenousvariables, ...
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M.params, steadystate, it+M.maximum_lag-1);
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if check
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info.status = 0;
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end
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endogenousvariables(:,it) = tmp(nyb+1:nyb+M.endo_nbr);
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end
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@ -1,4 +1,4 @@
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function oo_ = sim1_purely_forward(options_, M_, oo_)
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function [endogenousvariables, info] = sim1_purely_forward(endogenousvariables, exogenousvariables, steadystate, M, options)
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% Performs deterministic simulation of a purely forward model
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% Copyright (C) 2012-2015 Dynare Team
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@ -18,30 +18,27 @@ function oo_ = sim1_purely_forward(options_, M_, oo_)
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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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ny0 = nnz(M_.lead_lag_incidence(1,:)); % Number of variables at current period
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iyf = find(M_.lead_lag_incidence(2,:)>0); % Indices of variables at next period
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ny0 = nnz(M.lead_lag_incidence(1,:)); % Number of variables at current period
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iyf = find(M.lead_lag_incidence(2,:)>0); % Indices of variables at next period
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if ny0 ~= M_.endo_nbr
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error('SIMUL: all endogenous variables must appear at the current period')
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end
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if ny0 ~= M.endo_nbr
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error('All endogenous variables must appear at the current period!')
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end
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model_dynamic = str2func([M_.fname,'_dynamic']);
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dynamicmodel = str2func([M.fname,'_dynamic']);
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oo_.deterministic_simulation.status = 1;
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info.status = 1;
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for it = options_.periods:-1:1
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yf = oo_.endo_simul(:,it+1); % Values at next period, also used as guess value for current period
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yf1 = yf(iyf);
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[tmp, info] = solve1(model_dynamic, [yf; yf1], 1:M_.endo_nbr, 1:M_.endo_nbr, ...
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1, options_.gstep, options_.solve_tolf, ...
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options_.solve_tolx, options_.simul.maxit, ...
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options_.debug,oo_.exo_simul, M_.params, oo_.steady_state, ...
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it+M_.maximum_lag);
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if info
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oo_.deterministic_simulation.status = 0;
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end
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oo_.endo_simul(:,it) = tmp(1:M_.endo_nbr);
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for it = options.periods:-1:1
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yf = endogenousvariables(:,it+1); % Values at next period, also used as guess value for current period
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yf1 = yf(iyf);
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[tmp, check] = solve1(dynamicmodel, [yf; yf1], 1:M.endo_nbr, 1:M.endo_nbr, ...
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1, options.gstep, options.solve_tolf, ...
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options.solve_tolx, options.simul.maxit, ...
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options.debug, exogenousvariables, M.params, steadystate, ...
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it+M.maximum_lag);
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if check
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info.status = 0;
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end
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endogenousvariables(:,it) = tmp(1:M.endo_nbr);
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end
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