dynare/tests/optimal_policy/neo_growth_ramsey.mod

74 lines
3.1 KiB
Modula-2

/*
* Copyright © 2021 Dynare Team
*
* This file is part of Dynare.
*
* Dynare is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* Dynare is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with Dynare. If not, see <https://www.gnu.org/licenses/>.
*/
/*
* This file computes a second-order approximation of the neo-classical growth model.
* It assesses the conditional and unconditional welfares computed by the evaluate_planner_objective function
* and compares them to a by-hand assessment stemming from the results the model neo_growth.mod incur.
*/
@#include "neo_growth_ramsey_common.inc"
shocks;
var e;
stderr 1;
end;
stoch_simul(order=2, irf=0);
planner_objective_value = evaluate_planner_objective(M_, options_, oo_);
if ~exist(['neo_growth' filesep 'Output' filesep 'neo_growth_results.mat'],'file');
error('neo_growth must be run first');
end;
oo1 = load(['neo_growth' filesep 'Output' filesep 'neo_growth_results'],'oo_');
M1 = load(['neo_growth' filesep 'Output' filesep 'neo_growth_results'],'M_');
options1 = load(['neo_growth' filesep 'Output' filesep 'neo_growth_results'],'options_');
unc_W_hand = oo1.oo_.mean(strmatch('W',M1.M_.endo_names,'exact'));
initial_condition_states = repmat(oo1.oo_.dr.ys,1,M1.M_.maximum_lag);
shock_matrix = zeros(1,M1.M_.exo_nbr);
y_sim = simult_(M1.M_,options1.options_,initial_condition_states,oo1.oo_.dr,shock_matrix,options1.options_.order);
cond_W_hand_L_SS=y_sim(strmatch('W',M1.M_.endo_names,'exact'),2);
if abs((unc_W_hand - planner_objective_value.unconditional)/unc_W_hand) > 1e-6;
error('Inaccurate unconditional welfare assessment');
end;
if abs(cond_W_hand_L_SS - planner_objective_value.conditional.steady_initial_multiplier) > 1e-6;
error('Inaccurate conditional welfare with Lagrange multiplier set to its steady-state value');
end;
if abs(oo_.mean(strmatch('U',M_.endo_names,'exact'))-oo1.oo_.mean(strmatch('U',M1.M_.endo_names,'exact')))>1e-6
error('Utility inconsistent');
end
if abs(planner_objective_value.unconditional-oo_.mean(strmatch('U',M_.endo_names,'exact'))/(1-beta)) > 1e-6;
error('Unconditional welfare assessment does not match utility');
end;
initial_condition_states = zeros(M1.M_.endo_nbr,M1.M_.maximum_lag);
initial_condition_states(1:M1.M_.orig_endo_nbr,:) = repmat(oo1.oo_.dr.ys(1:M1.M_.orig_endo_nbr),1,M1.M_.maximum_lag);
shock_matrix = zeros(1,M1.M_.exo_nbr);
y_sim = simult_(M1.M_,options1.options_,initial_condition_states,oo1.oo_.dr,shock_matrix,options1.options_.order);
cond_W_hand_L_0=y_sim(strmatch('W',M1.M_.endo_names,'exact'),2);
if abs(cond_W_hand_L_0 - planner_objective_value.conditional.zero_initial_multiplier) > 1e-6;
error('Inaccurate conditional welfare with zero Lagrange multiplier');
end;