79 lines
3.4 KiB
Matlab
79 lines
3.4 KiB
Matlab
function perfect_foresight_with_expectation_errors_solver
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% Copyright (C) 2021 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 <https://www.gnu.org/licenses/>.
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global M_ oo_ options_
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% Save initial steady state, for restoring it at the end
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initial_steady_state = oo_.steady_state;
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initial_exo_steady_state = oo_.exo_steady_state;
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% Same for periods (it will be modified before calling perfect_foresight_solver)
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periods = options_.periods
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% Retrieve initial paths built by pfwee_setup
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% (the versions in oo_ will be truncated before calling perfect_foresight_solver)
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endo_simul = oo_.endo_simul;
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exo_simul = oo_.exo_simul;
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% Start main loop around informational periods
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info_period = 1;
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while info_period <= periods
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% Compute terminal steady state as anticipated
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oo_.exo_steady_state = oo_.pfwee.terminal_info(:, info_period);
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steady_state_prev = oo_.steady_state;
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[oo_.steady_state,~,info] = evaluate_steady_state(steady_state_prev, M_, options_, oo_, true);
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options_.periods = periods - info_period + 1;
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oo_.endo_simul = endo_simul(:, info_period:end); % Take initial conditions + guess values from previous simulation
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if options_.pfwee.terminal_steady_state_as_guess_value
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% Overwrite guess value with terminal steady state
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oo_.endo_simul(:, M_.maximum_lag+(1:periods-info_period+1)) = repmat(oo_.steady_state, 1, periods-info_period+1);
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elseif info_period == 1
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% Use initial steady state as guess value for first simulation if not using terminal steady state
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oo_.endo_simul(:, M_.maximum_lag+(1:periods)) = repmat(initial_steady_state, 1, periods);
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end
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oo_.endo_simul(:, end-M_.maximum_lead+1:end) = repmat(oo_.steady_state, 1, M_.maximum_lead);
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oo_.exo_simul = exo_simul(info_period:end, :);
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oo_.exo_simul(M_.maximum_lag+(1:periods-info_period+1), :) = oo_.pfwee.shocks_info(:, info_period:end, info_period)';
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oo_.exo_simul(end-M_.maximum_lead+1:end, :) = repmat(oo_.exo_steady_state, M_.maximum_lead, 1);
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perfect_foresight_solver;
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endo_simul(:, info_period:end) = oo_.endo_simul;
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exo_simul(info_period:end, :) = oo_.exo_simul;
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% Increment info_period (as much as possible, if information set does not change for some time)
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increment = 1;
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while info_period+increment <= periods && ...
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all(oo_.pfwee.terminal_info(:, info_period) == oo_.pfwee.terminal_info(:, info_period+increment)) && ...
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all(all(oo_.pfwee.shocks_info(:, info_period+increment:end, info_period) == oo_.pfwee.shocks_info(:, info_period+increment:end, info_period+increment)))
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increment = increment + 1;
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end
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info_period = info_period + increment;
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end
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% Set final paths
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oo_.endo_simul = endo_simul;
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oo_.exo_simul = exo_simul;
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% Restore some values
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oo_.steady_state = initial_steady_state;
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oo_.exo_steady_state = initial_exo_steady_state;
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options_.periods = periods;
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