Test Asset Grid Count (For + Inf + Borr + Save DP)
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Testing the ff_abz_fibs_vf_vecsv program for solving the savings and borrowing dynamic programming problem.
Loop over the number of asset points. 100 points means 100 grid points for the choice grid as well as the asset grid. The choice state grid is the same as the asset state grid.
Here we see how does changing the asset/choice grid count from 100 to 750 and to 2250 points change the model solutions.
@seealso
- BORROW: borrow and default small grid testing: ff_abz_fibs_vf_vecsv_default_small
- BORROW: borrow and default large grid testing: ff_abz_fibs_vf_vecsv_default_large
- PRECISION: borr + save quick vs benchmark testing: fsi_abz_fibs_vf_vecsv_main
- PRECISION: borr + save asset grid count testing: fsi_abz_fibs_vf_vecsv_a_n
- PRECISION: borr + save shock grid count testing: fsi_abz_fibs_vf_vecsv_z_n
Contents
Simulate Model with Different Asset Grid Count (no Bridge, formal rollover)
close all ar_it_a_n = [100, 750, 2250]; % ar_it_w_n = [25, 50]; for it_a_n = ar_it_a_n disp('xxxxxxxxxxxxxxxxxxxxxxxxxxx'); disp('xxxxxxxxxxxxxxxxxxxxxxxxxxx'); disp(['it_a_n = ' num2str(it_a_n)]); disp('xxxxxxxxxxxxxxxxxxxxxxxxxxx'); disp('xxxxxxxxxxxxxxxxxxxxxxxxxxx'); disp(''); disp(''); disp(''); disp(''); it_param_set = 4; [param_map, support_map] = ffs_abz_fibs_set_default_param(it_param_set); % Simulation Accuracy param_map('it_a_n') = it_a_n; param_map('it_z_n') = 15; param_map('bl_default') = true; param_map('bl_bridge') = false; % Display Parameters support_map('bl_display') = false; support_map('bl_display_final') = false; support_map('bl_time') = true; support_map('bl_profile') = false; % Call Program ff_abz_fibs_vf_vecsv(param_map, support_map); % Snap snapnow; end % close all close all;
xxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxx it_a_n = 100 xxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxx Elapsed time is 0.198109 seconds. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data.
xxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxx it_a_n = 750 xxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxx Elapsed time is 2.080891 seconds. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data.
xxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxx it_a_n = 2250 xxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxx Elapsed time is 15.991270 seconds. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data.
Simulate Model with Different Asset Grid Count (informal Bridge)
close all ar_it_a_n = [100, 750, 2250]; % ar_it_w_n = [25, 50]; for it_a_n = ar_it_a_n disp('xxxxxxxxxxxxxxxxxxxxxxxxxxx'); disp('xxxxxxxxxxxxxxxxxxxxxxxxxxx'); disp(['it_a_n = ' num2str(it_a_n)]); disp('xxxxxxxxxxxxxxxxxxxxxxxxxxx'); disp('xxxxxxxxxxxxxxxxxxxxxxxxxxx'); disp(''); disp(''); disp(''); disp(''); it_param_set = 4; [param_map, support_map] = ffs_abz_fibs_set_default_param(it_param_set); % Simulation Accuracy param_map('it_a_n') = it_a_n; param_map('it_z_n') = 15; param_map('bl_default') = true; param_map('bl_bridge') = true; % Display Parameters support_map('bl_display') = false; support_map('bl_display_final') = false; support_map('bl_time') = true; support_map('bl_profile') = false; % Call Program ff_abz_fibs_vf_vecsv(param_map, support_map); % Snap snapnow; end % close all close all; clear all;
xxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxx it_a_n = 100 xxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxx Elapsed time is 0.195930 seconds. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data.
xxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxx it_a_n = 750 xxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxx Elapsed time is 2.946469 seconds. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data.
xxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxx it_a_n = 2250 xxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxx Elapsed time is 16.215832 seconds. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data. Warning: Using only the real component of complex data.