Derive Distributions for Risky + Safe Asset (Save + Borr + R Shock) Interpolated-Percentage (Wrapper)
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Contents
function [result_map] = ff_ipwkbzr_ds_wrapper(varargin)
FF_IPWKBZR_DS_WRAPPER finds the stationary asset distributions
This is a warpper function.
Default
- it_subset = 5 is basic invoke quick test
- it_subset = 6 is invoke full test
- it_subset = 7 is profiling invoke
- it_subset = 8 is matlab publish
- it_subset = 9 is invoke operational (only final stats) and coh graph
it_param_set = 8;
[param_map, support_map] = ffs_ipwkbzr_set_default_param(it_param_set);
param_map('bl_default') = true;
Change Parameter to Main Options
st_param_which = 'default'; if (ismember(st_param_which, ["default"])) % default elseif ismember(st_param_which, ["ff_ipwkbz_ds_wrapper"]) % ff_ipwkbzr_evf default param_map('fl_z_r_borr_min') = 0.095; param_map('fl_z_r_borr_max') = 0.095; param_map('fl_z_r_borr_n') = 1; param_map('fl_r_save') = 0.025; param_map('it_z_n') = param_map('it_z_wage_n') * param_map('fl_z_r_borr_n'); end
Adjust Parametesr
% Note: param_map and support_map can be adjusted here or outside to override defaults % param_map('it_w_perc_n') = 50; % param_map('it_ak_perc_n') = param_map('it_w_perc_n'); % param_map('it_z_n') = 15; % param_map('fl_coh_interp_grid_gap') = 0.025; % param_map('it_c_interp_grid_gap') = 0.001; % param_map('fl_w_interp_grid_gap') = 0.25; % param_map('it_w_perc_n') = 100; % param_map('it_ak_perc_n') = param_map('it_w_perc_n'); % param_map('it_z_n') = 11; % param_map('fl_coh_interp_grid_gap') = 0.1; % param_map('it_c_interp_grid_gap') = 10^-4; % param_map('fl_w_interp_grid_gap') = 0.1; % param_map('it_w_perc_n') = 100; % param_map('fl_r_save') = 0.025; % param_map('fl_c_min') = 0.02;
Set Distribution Derivation Types
% param_map('st_analytical_stationary_type') = 'loop'; % param_map('st_analytical_stationary_type') = 'vector'; param_map('st_analytical_stationary_type') = 'eigenvector';
Generate Grids
get armt and func map
[armt_map, func_map] = ffs_ipwkbzr_get_funcgrid(param_map, support_map); % 1 for override
default_params = {param_map support_map armt_map func_map};
Parse Parameters 1
% if varargin only has param_map and support_map, params_len = length(varargin); [default_params{1:params_len}] = varargin{:}; param_map = [param_map; default_params{1}]; support_map = [support_map; default_params{2}]; if params_len >= 1 && params_len <= 2 % If override param_map, re-generate armt and func if they are not % provided [armt_map, func_map] = ffs_ipwkbzr_get_funcgrid(param_map, support_map); else % Override all armt_map = [armt_map; default_params{3}]; func_map = [func_map; default_params{4}]; end % if profile, profile DP + Dist here support_map('bl_profile_dist') = false; % append function name st_func_name = 'ff_ipwkbzr_ds_wrapper'; support_map('st_profile_name_main') = [st_func_name support_map('st_profile_name_main')]; support_map('st_mat_name_main') = [st_func_name support_map('st_mat_name_main')]; support_map('st_img_name_main') = [st_func_name support_map('st_img_name_main')];
Parse Parameters
% param_map params_group = values(param_map, {'st_analytical_stationary_type'}); [st_analytical_stationary_type] = params_group{:}; % support_map params_group = values(support_map, ... {'st_profile_path', 'st_profile_prefix', 'st_profile_name_main', 'st_profile_suffix','bl_time'}); [st_profile_path, st_profile_prefix, st_profile_name_main, st_profile_suffix, bl_time] = params_group{:};
Start Profiler and Timer
Start Profile
if (it_param_set == 7) close all; profile off; profile on; end % Start Timer if (bl_time) tic; end
Solve DP
bl_input_override = true; result_map = ff_ipwkbzr_vf_vecsv(param_map, support_map, armt_map, func_map);
Elapsed time is 54.340936 seconds.
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Begin: Show all key and value pairs from container
CONTAINER NAME: SUPPORT_MAP
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Map with properties:
Count: 43
KeyType: char
ValueType: any
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pos = 29 ; key = st_img_name_main ; val = ff_ipwkbzr_vf_vecsvff_ipwkbzr_ds_wrapper_default
pos = 30 ; key = st_img_path ; val = C:/Users/fan/CodeDynaAsset//m_ipwkbzr//solve/img/
pos = 31 ; key = st_img_prefix ; val =
pos = 32 ; key = st_img_suffix ; val = _p8.png
pos = 33 ; key = st_mat_name_main ; val = ff_ipwkbzr_vf_vecsvff_ipwkbzr_ds_wrapper_default
pos = 34 ; key = st_mat_path ; val = C:/Users/fan/CodeDynaAsset//m_ipwkbzr//solve/mat/
pos = 35 ; key = st_mat_prefix ; val =
pos = 36 ; key = st_mat_suffix ; val = _p8
pos = 37 ; key = st_mat_test_path ; val = C:/Users/fan/CodeDynaAsset//m_ipwkbzr//test/ff_ipwkbzr_ds_vecsv/mat/
pos = 38 ; key = st_matimg_path_root ; val = C:/Users/fan/CodeDynaAsset//m_ipwkbzr/
pos = 39 ; key = st_profile_name_main ; val = ff_ipwkbzr_vf_vecsvff_ipwkbzr_ds_wrapper_default
pos = 40 ; key = st_profile_path ; val = C:/Users/fan/CodeDynaAsset//m_ipwkbzr//solve/profile/
pos = 41 ; key = st_profile_prefix ; val =
pos = 42 ; key = st_profile_suffix ; val = _p8
pos = 43 ; key = st_title_prefix ; val =
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Scalars in Container and Sizes and Basic Statistics
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i idx value
__ ___ _____
bl_display 1 1 0
bl_display_defparam 2 2 1
bl_display_dist 3 3 0
bl_display_evf 4 4 0
bl_display_final 5 5 0
bl_display_final_dist 6 6 1
bl_display_final_dist_detail 7 7 1
bl_display_funcgrids 8 8 0
bl_graph 9 9 1
bl_graph_coh_t_coh 10 10 1
bl_graph_evf 11 11 0
bl_graph_funcgrids 12 12 0
bl_graph_funcgrids_detail 13 13 0
bl_graph_onebyones 14 14 1
bl_graph_pol_lvl 15 15 0
bl_graph_pol_pct 16 16 0
bl_graph_val 17 17 0
bl_img_save 18 18 0
bl_mat 19 19 0
bl_post 20 20 1
bl_profile 21 21 0
bl_profile_dist 22 22 0
bl_time 23 23 1
it_display_every 24 24 20
it_display_final_colmax 25 25 12
it_display_final_rowmax 26 26 100
it_display_summmat_colmax 27 27 7
it_display_summmat_rowmax 28 28 7
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Begin: Show all key and value pairs from container
CONTAINER NAME: ARMT_MAP
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Map with properties:
Count: 34
KeyType: char
ValueType: any
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Matrix in Container and Sizes and Basic Statistics
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i idx rowN colN mean std min max
__ ___ ________ __________ ________ ________ __________ _______
ar_a_meshk 1 1 772 1 18.605 22.341 -20 57.258
ar_a_meshk_ori 2 2 35000 1 -2.5107 15.618 -20 50
ar_ak_perc 3 3 1 50 0.5 0.2975 0 1
ar_aplusk_mesh 4 4 35000 1 14.979 20.23 -20 50
ar_interp_c_grid 5 5 1 7.7238e+05 38.639 22.297 0.02 77.258
ar_interp_coh_grid 6 6 1 772 18.605 22.341 -20 57.258
ar_k_mesha 7 7 772 1 0 0 0 0
ar_k_mesha_ori 8 8 35000 1 17.489 15.618 0 70
ar_w_level 9 9 1 700 14.979 20.244 -20 50
ar_w_perc 10 10 1 50 0.5 0.2975 0 1
ar_z_r_borr 11 11 1 5 0.06 0.02767 0.025 0.095
ar_z_r_borr_mesh_wage_r1w2 12 12 1 55 0.06 0.024977 0.025 0.095
ar_z_r_borr_mesh_wage_w1r2 13 13 1 55 0.06 0.024977 0.025 0.095
ar_z_r_borr_prob 14 14 1 5 0.2 0.34803 0.00012164 0.81093
ar_z_wage 15 15 1 11 1.1422 0.72828 0.34664 2.5613
ar_z_wage_mesh_r_borr_r1w2 16 16 1 55 1.1422 0.70079 0.34664 2.5613
ar_z_wage_mesh_r_borr_w1r2 17 17 1 55 1.1422 0.70079 0.34664 2.5613
ar_z_wage_prob 18 18 1 11 0.090909 0.084822 0.0039324 0.23011
cl_mt_coh_wkb_mesh_z_r_borr 19 19 35000 55 16.785 20.517 -20.056 57.258
mt_coh_wkb 20 21 772 55 18.605 22.327 -20 57.258
mt_coh_wkb_mesh_z_r_borr 21 22 1.75e+05 55 16.507 20.684 -21.456 57.258
mt_coh_wkb_ori 22 23 1.75e+05 11 16.507 20.684 -21.456 57.258
mt_interp_coh_grid_mesh_w_perc 23 24 50 772 18.605 22.327 -20 57.258
mt_interp_coh_grid_mesh_z 24 25 772 55 18.605 22.327 -20 57.258
mt_interp_coh_grid_mesh_z_wage 25 26 772 11 18.605 22.328 -20 57.258
mt_k 26 27 50 700 17.489 15.618 0 70
mt_w_perc_mesh_interp_coh_grid 27 28 50 772 -0.6976 17.237 -20 57.258
mt_z_mesh_coh_wkb 28 29 1.75e+05 55 28 15.875 1 55
mt_z_mesh_coh_wkb_seg 29 30 35000 55 28 15.875 1 55
mt_z_mesh_interp_coh_grid 30 31 772 55 28 15.875 1 55
mt_z_trans 31 32 55 55 0.018182 0.055867 0 0.31053
mt_z_wage_mesh_coh_wkb 32 33 1.75e+05 11 1.1422 0.69439 0.34664 2.5613
mt_z_wage_mesh_interp_coh_grid 33 34 772 11 1.1422 0.69443 0.34664 2.5613
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Scalars in Container and Sizes and Basic Statistics
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i idx value
_ ___ _____
it_ameshk_n 1 20 772
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Begin: Show all key and value pairs from container
CONTAINER NAME: PARAM_MAP
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Map with properties:
Count: 41
KeyType: char
ValueType: any
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pos = 37 ; key = st_analytical_stationary_type ; val = eigenvector
pos = 38 ; key = st_model ; val = ipwkbzr
pos = 39 ; key = st_v_coh_z_interp_method ; val = method_cell
pos = 40 ; key = st_z_r_borr_drv_ele_type ; val = unif
pos = 41 ; key = st_z_r_borr_drv_prb_type ; val = poiss
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Scalars in Container and Sizes and Basic Statistics
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i idx value
__ ___ _______
bl_default 1 1 1
fl_Amean 2 2 1
fl_alpha 3 3 0.36
fl_b_bd 4 4 -20
fl_beta 5 5 0.94
fl_c_min 6 6 0.02
fl_coh_interp_grid_gap 7 7 0.1
fl_crra 8 8 1.5
fl_default_wprime 9 9 0
fl_delta 10 10 0.08
fl_k_max 11 11 70
fl_k_min 12 12 0
fl_nan_replace 13 13 -9999
fl_r_save 14 14 0.025
fl_tol_dist 15 15 1e-05
fl_tol_pol 16 16 1e-05
fl_tol_val 17 17 1e-05
fl_w 18 18 0.44365
fl_w_interp_grid_gap 19 19 0.1
fl_w_max 20 20 50
fl_w_min 21 21 -20
fl_z_r_borr_max 22 22 0.095
fl_z_r_borr_min 23 23 0.025
fl_z_r_borr_n 24 24 5
fl_z_r_borr_poiss_mean 25 25 20
fl_z_wage_mu 26 26 0
fl_z_wage_rho 27 27 0.8
fl_z_wage_sig 28 28 0.2
it_ak_perc_n 29 29 50
it_c_interp_grid_gap 30 30 0.0001
it_maxiter_dist 31 31 1000
it_maxiter_val 32 32 250
it_tol_pol_nochange 33 33 25
it_w_perc_n 34 34 50
it_z_n 35 35 55
it_z_wage_n 36 36 11
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Begin: Show all key and value pairs from container
CONTAINER NAME: FUNC_MAP
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Map with properties:
Count: 8
KeyType: char
ValueType: any
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pos = 1 ; key = f_coh ; val = @(fl_r_borr,z,b,k)(f_prod(z,k)+k*(1-fl_delta)+fl_w+b.*(1+fl_r_save).*(b>0)+b.*(1+fl_r_borr).*(b<=0))
pos = 2 ; key = f_cons ; val = @(coh,bprime,kprime)(coh-kprime-bprime)
pos = 3 ; key = f_inc ; val = @(fl_r_borr,z,b,k)(f_prod(z,k)-(fl_delta)*k+fl_w+b.*(fl_r_save).*(b>0)+b.*(fl_r_borr).*(b<=0))
pos = 4 ; key = f_prod ; val = @(z,k)((fl_Amean.*(z)).*(k.^(fl_alpha)))
pos = 5 ; key = f_util_crra ; val = @(c)(((c).^(1-fl_crra)-1)./(1-fl_crra))
pos = 6 ; key = f_util_log ; val = @(c)log(c)
pos = 7 ; key = f_util_standin ; val = @(fl_r_borr,z,b,k)f_util_log((f_coh(fl_r_borr,z,b,k)-fl_b_bd).*((f_coh(fl_r_borr,z,b,k)-fl_b_bd)>fl_c_min)+fl_c_min.*((f_coh(fl_r_borr,z,b,k)-fl_b_bd)<=fl_c_min))
pos = 8 ; key = f_util_standin_coh ; val = @(coh,fl_r_borr)f_util_log((coh-fl_b_bd).*((coh>0)&(((coh-fl_b_bd)./(1))>fl_c_min))+((coh-fl_b_bd)./(1)).*((coh<=0)&(((coh-fl_b_bd)./(1))>fl_c_min))+(fl_c_min./(1+fl_r_borr)).*((((coh-fl_b_bd)./(1))<=fl_c_min)))
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Scalars in Container and Sizes and Basic Statistics
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i idx xFunction
_ ___ _________
f_coh 1 1 1
f_cons 2 2 2
f_inc 3 3 3
f_prod 4 4 4
f_util_crra 5 5 5
f_util_log 6 6 6
f_util_standin 7 7 7
f_util_standin_coh 8 8 8
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Begin: Show all key and value pairs from container
CONTAINER NAME: RESULT_MAP
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Map with properties:
Count: 12
KeyType: char
ValueType: any
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pos = 2 ; key = ar_st_pol_names ; val = cl_mt_val cl_mt_coh cl_mt_pol_a cl_mt_pol_k cl_mt_pol_c
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Matrix in Container and Sizes and Basic Statistics
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i idx rowN colN mean std min max
__ ___ ____ ____ ________ _______ __________ ______
ar_pol_diff_norm 1 1 151 1 99.709 531.21 0 4777.2
ar_val_diff_norm 2 3 151 1 16.897 50.793 0.00091128 344.08
cl_mt_coh 3 4 772 55 18.605 22.327 -20 57.258
cl_mt_cons 4 5 772 55 2.8757 2.9357 -20 7.8835
cl_mt_pol_a 5 6 772 55 8.7882 19.576 -20 49.154
cl_mt_pol_c 6 7 772 55 3.1163 1.5811 0.02 7.8835
cl_mt_pol_k 7 8 772 55 6.9409 5.4654 0 22.186
cl_mt_val 8 9 772 55 8.6496 6.9578 -9.749 16.595
mt_pol_idx 9 10 772 55 19319 11146 1 38595
mt_pol_perc_change 10 11 151 55 0.077753 0.22502 0 1
mt_val 11 12 772 55 8.6496 6.9578 -9.749 16.595
Derive Distribution
if (strcmp(st_analytical_stationary_type, 'loop')) result_map = ff_iwkz_ds(param_map, support_map, armt_map, func_map, result_map, bl_input_override); elseif (strcmp(st_analytical_stationary_type, 'vector')) result_map = ff_iwkz_ds_vec(param_map, support_map, armt_map, func_map, result_map, bl_input_override); elseif (strcmp(st_analytical_stationary_type, 'eigenvector')) result_map = ff_iwkz_ds_vecsv(param_map, support_map, armt_map, func_map, result_map, bl_input_override); end
Elapsed time is 17.689325 seconds.
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Summary Statistics for: cl_mt_val
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fl_choice_mean
6.5883
fl_choice_sd
3.4850
fl_choice_coefofvar
0.5290
fl_choice_prob_zero
0
fl_choice_prob_below_zero
0.0584
fl_choice_prob_above_zero
0.9416
fl_choice_prob_max
2.6835e-13
tb_disc_cumu
cl_mt_valDiscreteVal cl_mt_valDiscreteValProbMass CDF cumsumFrac
____________________ ____________________________ _________ ___________
-9.749 2.8725e-05 0.0028725 -4.2506e-05
-9.7379 5.7087e-06 0.0034434 -5.0944e-05
-9.7214 8.5299e-07 0.0035287 -5.2203e-05
-9.7036 8.5298e-08 0.0035372 -5.2328e-05
-9.6806 4.2649e-09 0.0035377 -5.2334e-05
-9.6087 2.4435e-08 0.0035401 -5.237e-05
-9.4071 0.00010666 0.014206 -0.00020467
-9.3903 2.1129e-05 0.016319 -0.00023478
-9.3715 3.1638e-06 0.016635 -0.00023928
-9.3627 2.3543e-08 0.016638 -0.00023931
cl_mt_valDiscreteVal cl_mt_valDiscreteValProbMass CDF cumsumFrac
____________________ ____________________________ ___ __________
16.548 6.7026e-13 100 1
16.548 1.995e-13 100 1
16.552 5.0888e-13 100 1
16.559 4.1988e-13 100 1
16.566 3.5767e-13 100 1
16.572 4.1041e-13 100 1
16.579 1.0416e-12 100 1
16.584 3.7859e-13 100 1
16.589 6.1486e-13 100 1
16.595 2.6835e-13 100 1
tb_prob_drv
percentiles cl_mt_valDiscreteValPercentileValues fracOfSumHeldBelowThisPercentile
___________ ____________________________________ ________________________________
0.1 -8.518 -0.0016019
1 -6.0451 -0.01101
5 -0.69984 -0.029571
10 2.1676 -0.0222
15 3.5876 0.00029155
20 4.551 0.031074
25 5.3166 0.068807
35 6.416 0.15835
50 7.4553 0.3184
65 8.1888 0.49624
75 8.7111 0.62452
80 9.0358 0.6919
85 9.408 0.76228
90 9.925 0.83565
95 10.669 0.91282
99 12.011 0.98095
99.9 13.306 0.99793
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Summary Statistics for: cl_mt_coh
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fl_choice_mean
4.5366
fl_choice_sd
5.7525
fl_choice_coefofvar
1.2680
fl_choice_prob_zero
0.0020
fl_choice_prob_below_zero
0.1395
fl_choice_prob_above_zero
0.8585
fl_choice_prob_max
2.6835e-13
tb_disc_cumu
cl_mt_cohDiscreteVal cl_mt_cohDiscreteValProbMass CDF cumsumFrac
____________________ ____________________________ _______ __________
-20 0.0046957 0.46957 -0.020701
-19.9 8.0481e-07 0.46965 -0.020705
-19.799 2.8811e-06 0.46993 -0.020717
-19.699 5.9665e-06 0.47053 -0.020743
-19.599 8.2138e-06 0.47135 -0.020779
-19.498 8.7723e-06 0.47223 -0.020817
-19.398 1.3998e-05 0.47363 -0.020876
-19.298 1.5593e-05 0.47519 -0.020943
-19.197 1.6562e-05 0.47684 -0.021013
-19.097 2.7518e-05 0.4796 -0.021129
cl_mt_cohDiscreteVal cl_mt_cohDiscreteValProbMass CDF cumsumFrac
____________________ ____________________________ ___ __________
56.355 6.7026e-13 100 1
56.455 1.995e-13 100 1
56.556 5.0888e-13 100 1
56.656 4.1988e-13 100 1
56.756 3.5767e-13 100 1
56.857 4.1041e-13 100 1
56.957 1.0416e-12 100 1
57.057 3.7859e-13 100 1
57.158 6.1486e-13 100 1
57.258 2.6835e-13 100 1
tb_prob_drv
percentiles cl_mt_cohDiscreteValPercentileValues fracOfSumHeldBelowThisPercentile
___________ ____________________________________ ________________________________
0.1 -20 -0.020701
1 -16.689 -0.041982
5 -5.9531 -0.13496
10 -1.3377 -0.16868
15 0.26765 -0.17333
20 1.271 -0.16376
25 2.174 -0.14463
35 3.7794 -0.075748
50 5.4851 0.082587
65 6.5887 0.29746
75 7.1908 0.43403
80 7.6924 0.51316
85 8.5954 0.60635
90 10 0.70381
95 12.609 0.82639
99 18.228 0.95376
99.9 25.652 0.99379
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Summary Statistics for: cl_mt_pol_a
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fl_choice_mean
-1.4623
fl_choice_sd
3.9386
fl_choice_coefofvar
-2.6934
fl_choice_prob_zero
0
fl_choice_prob_below_zero
0.6150
fl_choice_prob_above_zero
0.3850
fl_choice_prob_max
4.8469e-35
tb_disc_cumu
cl_mt_pol_aDiscreteVal cl_mt_pol_aDiscreteValProbMass CDF cumsumFrac
______________________ ______________________________ __________ __________
-20 1.2131e-10 1.2131e-08 1.6591e-09
-20 0.0087053 0.87053 0.11906
-19.998 5.2106e-08 0.87053 0.11906
-19.992 2.142e-07 0.87055 0.11907
-19.99 1.4008e-09 0.87055 0.11907
-19.989 1.1549e-05 0.87171 0.11922
-19.988 4.0482e-06 0.87211 0.11928
-19.985 2.5052e-05 0.87462 0.11962
-19.982 1.9903e-06 0.87482 0.11965
-19.982 1.4312e-07 0.87483 0.11965
cl_mt_pol_aDiscreteVal cl_mt_pol_aDiscreteValProbMass CDF cumsumFrac
______________________ ______________________________ ___ __________
48.51 3.7798e-35 100 1
48.556 9.0771e-35 100 1
48.601 1.439e-35 100 1
48.65 3.8563e-36 100 1
48.693 1.189e-36 100 1
48.785 2.7358e-35 100 1
48.878 -6.2905e-35 100 1
48.97 -2.2819e-35 100 1
49.062 7.2011e-35 100 1
49.154 4.8469e-35 100 1
tb_prob_drv
percentiles cl_mt_pol_aDiscreteValPercentileValues fracOfSumHeldBelowThisPercentile
___________ ______________________________________ ________________________________
0.1 -20 0.11906
1 -19.593 0.13665
5 -9.4201 0.51429
10 -5.2253 0.74329
15 -3.7375 0.89299
20 -2.8974 1.0062
25 -2.0408 1.0923
35 -0.70987 1.1834
50 -0.13444 1.2137
65 0.02164 1.2185
75 0.13017 1.2134
80 0.21475 1.2077
85 0.29933 1.1975
90 0.50451 1.1863
95 1.8664 1.1487
99 5.8136 1.0573
99.9 11.688 1.0095
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Summary Statistics for: cl_mt_pol_k
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fl_choice_mean
4.3404
fl_choice_sd
2.2055
fl_choice_coefofvar
0.5081
fl_choice_prob_zero
0.0047
fl_choice_prob_below_zero
0
fl_choice_prob_above_zero
0.9953
fl_choice_prob_max
2.2524e-10
tb_disc_cumu
cl_mt_pol_kDiscreteVal cl_mt_pol_kDiscreteValProbMass CDF cumsumFrac
______________________ ______________________________ _______ __________
0 0.0046954 0.46954 0
0.39929 4.886e-36 0.46954 4.4948e-37
0.41772 1.3447e-14 0.46954 1.2941e-15
0.42591 1.1417e-16 0.46954 1.3053e-15
0.43001 7.7877e-20 0.46954 1.3053e-15
0.45253 4.0605e-15 0.46954 1.7287e-15
0.46072 -6.2641e-35 0.46954 1.7287e-15
0.46686 2.246e-13 0.46954 2.5887e-14
0.48734 9.6772e-14 0.46954 3.6752e-14
0.49144 5.7974e-13 0.46954 1.0239e-13
cl_mt_pol_kDiscreteVal cl_mt_pol_kDiscreteValProbMass CDF cumsumFrac
______________________ ______________________________ ___ __________
22.09 2.3409e-10 100 1
22.091 5.4705e-12 100 1
22.103 2.969e-09 100 1
22.115 8.8896e-12 100 1
22.122 2.1456e-10 100 1
22.137 4.6343e-09 100 1
22.145 1.1186e-11 100 1
22.154 1.9869e-10 100 1
22.175 1.7617e-11 100 1
22.186 2.2524e-10 100 1
tb_prob_drv
percentiles cl_mt_pol_kDiscreteValPercentileValues fracOfSumHeldBelowThisPercentile
___________ ______________________________________ ________________________________
0.1 0 0
1 1.1231 0.0011775
5 1.6532 0.014311
10 2.0376 0.034899
15 2.2587 0.060796
20 2.572 0.087183
25 2.7988 0.1185
35 3.3505 0.19294
50 4.0137 0.31839
65 4.6731 0.4718
75 5.1338 0.58949
80 5.5664 0.64664
85 6.0702 0.71402
90 7.064 0.78782
95 8.2873 0.8768
99 12.505 0.96732
99.9 16.962 0.99577
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Summary Statistics for: cl_mt_pol_c
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fl_choice_mean
1.7531
fl_choice_sd
0.5070
fl_choice_coefofvar
0.2892
fl_choice_prob_zero
0
fl_choice_prob_below_zero
0
fl_choice_prob_above_zero
1.0000
fl_choice_prob_max
2.6835e-13
tb_disc_cumu
cl_mt_pol_cDiscreteVal cl_mt_pol_cDiscreteValProbMass CDF cumsumFrac
______________________ ______________________________ _______ __________
0.02 0.0047272 0.47272 5.393e-05
0.50167 9.6022e-07 0.47281 5.4205e-05
0.60201 8.718e-06 0.47368 5.7199e-05
0.70234 1.5058e-05 0.47519 6.3231e-05
0.71258 5.7759e-13 0.47519 6.3231e-05
0.73715 2.246e-13 0.47519 6.3231e-05
0.74534 4.4765e-12 0.47519 6.3231e-05
0.7863 1.3447e-14 0.47519 6.3231e-05
0.79858 5.9414e-12 0.47519 6.3231e-05
0.80268 1.6549e-05 0.47685 7.0808e-05
cl_mt_pol_cDiscreteVal cl_mt_pol_cDiscreteValProbMass CDF cumsumFrac
______________________ ______________________________ ___ __________
7.8118 5.0888e-13 100 1
7.822 4.1988e-13 100 1
7.8323 3.5767e-13 100 1
7.8425 4.1041e-13 100 1
7.8527 1.0416e-12 100 1
7.8527 -2.0641e-34 100 1
7.863 3.7859e-13 100 1
7.8732 6.1486e-13 100 1
7.8835 3.6152e-37 100 1
7.8835 2.6835e-13 100 1
tb_prob_drv
percentiles cl_mt_pol_cDiscreteValPercentileValues fracOfSumHeldBelowThisPercentile
___________ ______________________________________ ________________________________
0.1 0.02 5.393e-05
1 1.0934 0.0033924
5 1.1917 0.029507
10 1.2654 0.065241
15 1.3187 0.10207
20 1.3637 0.1401
25 1.4129 0.18332
35 1.4866 0.26554
50 1.5726 0.39344
65 1.6525 0.53413
75 2.2115 0.65306
80 2.2524 0.71171
85 2.3261 0.77742
90 2.449 0.84517
95 2.6619 0.91674
99 3.1616 0.98027
99.9 3.8332 0.99773
OriginalVariableNames cl_mt_val cl_mt_coh cl_mt_pol_a cl_mt_pol_k cl_mt_pol_c
_____________________ __________ __________ ___________ ___________ ___________
'mean' 6.5883 4.5366 -1.4623 4.3404 1.7531
'sd' 3.485 5.7525 3.9386 2.2055 0.50696
'coefofvar' 0.52897 1.268 -2.6934 0.50814 0.28918
'min' -9.749 -20 -20 0 0.02
'max' 16.595 57.258 49.154 22.186 7.8835
'pYis0' 0 0.0019731 0 0.0046954 0
'pYls0' 0.058386 0.1395 0.61501 0 0
'pYgr0' 0.94161 0.85853 0.38499 0.9953 1
'pYisMINY' 2.8725e-05 0.0046957 1.2131e-10 0.0046954 0.0047272
'pYisMAXY' 2.6835e-13 2.6835e-13 4.8469e-35 2.2524e-10 2.6835e-13
'p0_1' -8.518 -20 -20 0 0.02
'p1' -6.0451 -16.689 -19.593 1.1231 1.0934
'p5' -0.69984 -5.9531 -9.4201 1.6532 1.1917
'p10' 2.1676 -1.3377 -5.2253 2.0376 1.2654
'p15' 3.5876 0.26765 -3.7375 2.2587 1.3187
'p20' 4.551 1.271 -2.8974 2.572 1.3637
'p25' 5.3166 2.174 -2.0408 2.7988 1.4129
'p35' 6.416 3.7794 -0.70987 3.3505 1.4866
'p50' 7.4553 5.4851 -0.13444 4.0137 1.5726
'p65' 8.1888 6.5887 0.02164 4.6731 1.6525
'p75' 8.7111 7.1908 0.13017 5.1338 2.2115
'p80' 9.0358 7.6924 0.21475 5.5664 2.2524
'p85' 9.408 8.5954 0.29933 6.0702 2.3261
'p90' 9.925 10 0.50451 7.064 2.449
'p95' 10.669 12.609 1.8664 8.2873 2.6619
'p99' 12.011 18.228 5.8136 12.505 3.1616
'p99_9' 13.306 25.652 11.688 16.962 3.8332
'fl_cov_cl_mt_val' 12.145 19.242 11.294 5.4032 1.1976
'fl_cor_cl_mt_val' 1 0.95983 0.82279 0.70296 0.67787
'fl_cov_cl_mt_coh' 19.242 33.091 19.566 9.06 2.1434
'fl_cor_cl_mt_coh' 0.95983 1 0.8636 0.7141 0.73498
'fl_cov_cl_mt_pol_a' 11.294 19.566 15.513 3.1273 0.80741
'fl_cor_cl_mt_pol_a' 0.82279 0.8636 1 0.36001 0.40437
'fl_cov_cl_mt_pol_k' 5.4032 9.06 3.1273 4.8644 0.91501
'fl_cor_cl_mt_pol_k' 0.70296 0.7141 0.36001 1 0.81835
'fl_cov_cl_mt_pol_c' 1.1976 2.1434 0.80741 0.91501 0.25701
'fl_cor_cl_mt_pol_c' 0.67787 0.73498 0.40437 0.81835 1
'fracByP0_1' -0.0016019 -0.020701 0.11906 0 5.393e-05
'fracByP1' -0.01101 -0.041982 0.13665 0.0011775 0.0033924
'fracByP5' -0.029571 -0.13496 0.51429 0.014311 0.029507
'fracByP10' -0.0222 -0.16868 0.74329 0.034899 0.065241
'fracByP15' 0.00029155 -0.17333 0.89299 0.060796 0.10207
'fracByP20' 0.031074 -0.16376 1.0062 0.087183 0.1401
'fracByP25' 0.068807 -0.14463 1.0923 0.1185 0.18332
'fracByP35' 0.15835 -0.075748 1.1834 0.19294 0.26554
'fracByP50' 0.3184 0.082587 1.2137 0.31839 0.39344
'fracByP65' 0.49624 0.29746 1.2185 0.4718 0.53413
'fracByP75' 0.62452 0.43403 1.2134 0.58949 0.65306
'fracByP80' 0.6919 0.51316 1.2077 0.64664 0.71171
'fracByP85' 0.76228 0.60635 1.1975 0.71402 0.77742
'fracByP90' 0.83565 0.70381 1.1863 0.78782 0.84517
'fracByP95' 0.91282 0.82639 1.1487 0.8768 0.91674
'fracByP99' 0.98095 0.95376 1.0573 0.96732 0.98027
'fracByP99_9' 0.99793 0.99379 1.0095 0.99577 0.99773
End Profiler and Timer
End Timer
if (bl_time) toc; end % End Profile if (it_param_set == 7) profile off profile viewer st_file_name = [st_profile_prefix st_profile_name_main st_profile_suffix]; profsave(profile('info'), strcat(st_profile_path, st_file_name)); end
Elapsed time is 18.383842 seconds.
end
ans =
Map with properties:
Count: 15
KeyType: char
ValueType: any