59 lines
2.0 KiB
Modula-2
59 lines
2.0 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 kth-order approximation of the neo-classical growth model.
|
|
* It assesses the conditional welfare and the derivatives of the felicity and welfare functions computed by the k_order_welfare function
|
|
* and compares them to a by-hand assessment stemming from the results the model neo_growth_k_order.mod incur.
|
|
*/
|
|
|
|
@#include "neo_growth_ramsey_common.inc"
|
|
|
|
shocks;
|
|
var e;
|
|
stderr 1;
|
|
end;
|
|
|
|
stoch_simul(order=6, irf=0);
|
|
|
|
evaluate_planner_objective(periods=10000,drop=1000);
|
|
|
|
[W_dynpp] = k_order_welfare(oo_.dr, M_, options_);
|
|
|
|
if ~exist(['neo_growth_k_order' filesep 'Output' filesep 'neo_growth_k_order_results.mat'],'file');
|
|
error('neo_growth_k_order must be run first');
|
|
end;
|
|
|
|
oo = load(['neo_growth_k_order' filesep 'Output' filesep 'neo_growth_k_order_results'],'oo_');
|
|
M = load(['neo_growth_k_order' filesep 'Output' filesep 'neo_growth_k_order_results'],'M_');
|
|
options = load(['neo_growth_k_order' filesep 'Output' filesep 'neo_growth_k_order_results'],'options_');
|
|
|
|
ind_W = strmatch('W', M.M_.endo_names,'exact');
|
|
|
|
err = -1e6;
|
|
for i = 1:options_.order
|
|
field_W = strcat('W_', num2str(i));
|
|
g_i = eval(strcat('oo.oo_.dr.g_', num2str(i)));
|
|
tmp_err = max(W_dynpp.(field_W) - g_i(ind_W, :));
|
|
err = max(err, tmp_err);
|
|
end
|
|
|
|
if err > 1e-10;
|
|
error('Inaccurate assessment of the derivatives of the welfare function');
|
|
end;
|