Chapter 7 Equilibrium by Skill Nest Group
7.1 Root Search Equilibrium Wage Equations By Skill Group
This is the example vignette for function: bfw_solveequi_kwfw from the PrjLabEquiBFW Package.
7.1.1 Default
[mp_fl_labor_occprbty,mp_fl_labor_supplied] = bfw_solveequi_kwfw();
Completed BFW_SOLVEEQUI_KWFW;fl_potwrker_1=9.9687;fl_potwrker_2=12.5164;ar_fl_max_ratio_1=0.36095 0.25032 0.20764;ar_fl_max_ratio_2=0.34704 0.23222 0.16538
BFW_SOLVEEQUI_KWFW-initial-Q;category_key=;C001;sexrhs=;Female;occ=;Manual;wxox=3.5484;laborsupplied=2.2735
BFW_SOLVEEQUI_KWFW-initial-Q;category_key=;C002;sexrhs=;Female;occ=;Routine;wxox=4.9268;laborsupplied=1.6222
BFW_SOLVEEQUI_KWFW-initial-Q;category_key=;C003;sexrhs=;Female;occ=;Analytical;wxox=3.523;laborsupplied=1.341
BFW_SOLVEEQUI_KWFW-initial-Q;category_key=;C101;sexrhs=;Male;occ=;Manual;wxox=1.7656;laborsupplied=4.2925
BFW_SOLVEEQUI_KWFW-initial-Q;category_key=;C102;sexrhs=;Male;occ=;Routine;wxox=5.9065;laborsupplied=3.7644
BFW_SOLVEEQUI_KWFW-initial-Q;category_key=;C103;sexrhs=;Male;occ=;Analytical;wxox=2.222;laborsupplied=1.5416
Completed BFW_SOLVEEQUI_KWFW;fl_mse_excess=4.4821e-13;ar_w1_iter_endo=1.5779 1.819 3.7951;ar_w2_iter_hat=1.2165 1.8629 3.227;ar_w2_iter_gap=-6.527e-12 -1.9215e-07 8.4457e-07
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CONTAINER NAME: mp_wages Scalars
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i idx value
_ ___ ______
C001 1 1 1.2165
C002 2 2 1.8629
C003 3 3 3.227
C101 4 4 1.5779
C102 5 5 1.819
C103 6 6 3.7951
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CONTAINER NAME: mp_fl_labor_demanded Scalars
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i idx value
_ ___ ______
C001 1 1 1.6514
C002 2 2 1.0896
C003 3 3 1.4662
C101 4 4 4.3057
C102 5 5 3.1524
C103 6 6 1.9726
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CONTAINER NAME: mp_fl_labor_supplied Scalars
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i idx value
_ ___ ______
C001 1 1 1.6514
C002 2 2 1.0896
C003 3 3 1.4662
C101 4 4 4.3057
C102 5 5 3.1524
C103 6 6 1.9726
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CONTAINER NAME: mp_fl_labor_occprbty Scalars
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i idx value
_ ___ ________
C001 1 1 0.13194
C002 2 2 0.087055
C003 3 3 0.11714
C101 4 4 0.43193
C102 5 5 0.31623
C103 6 6 0.19788
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CONTAINER NAME: mp_fl_labor_excess_demand Scalars
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i idx value
_ ___ ___________
C001 1 1 -3.4607e-08
C002 2 2 -2.3265e-07
C003 3 3 6.268e-07
C101 4 4 -2.6645e-15
C102 5 5 -2.2204e-15
C103 6 6 -2.2204e-167.1.2 Vary Parameters, Solve Equilibrium Quantities/Wages, Root Search
% 2. Get Parameters and data
bl_log_wage = true;
bl_verbose_nest = false;
% Get Parameters
mp_params = bfw_mp_param_esti(bl_log_wage);
mp_param_aux = bfw_mp_param_aux(bl_verbose_nest);
mp_params = [mp_params ; mp_param_aux];
% Get Data
mp_data = bfw_mp_data(bl_verbose_nest);
% Get Functions
mp_func_demand = bfw_mp_func_demand(bl_verbose_nest);
mp_func_supply = bfw_mp_func_supply(bl_log_wage, bl_verbose_nest);
mp_func_equi = bfw_mp_func_equi(bl_verbose_nest);
mp_func = [mp_func_equi; mp_func_supply; mp_func_demand];
% Get Controls
mp_controls = bfw_mp_control();
mp_controls('bl_bfw_solveequi_kwfw_display') = false;
mp_controls('bl_bfw_solveequi_kwfw_display_verbose') = false;
st_exa_common_str = 'bfw_solveequi_kwfw()';
for it_example_inputs = [1,2,3,4]
% Different testing scenariors
if (it_example_inputs == 1)
fl_rho_manual = 0.18;
fl_rho_routine = 0.18;
fl_rho_analytical = 0.18;
fl_beta_1_manual = 1 - 0.26;
fl_beta_1_routine = 1 - 0.30;
fl_beta_1_analytical = 1 - 0.40;
fl_Y_manual = 3.4084;
fl_Y_routine = 2.3402;
fl_Y_analytical = 1.7552;
fl_w1o1_init = 2.315707;
fl_w1o2_init = 3.217799;
fl_w1o3_init = 4.329016;
fl_w2o1_init = 1.942;
fl_w2o2_init = 3.2247;
fl_w2o3_init = 3.3738;
it_data_year = 1989;
fl_potwrker_1 = 9.9687;
fl_potwrker_2 = 12.5164;
bl_skilled = false;
st_exa_string = "homogeneous rho at 0.18, unskilled";
elseif (it_example_inputs == 2)
fl_rho_manual = 0.64678;
fl_rho_routine = 0.64678;
fl_rho_analytical = 0.64678;
fl_beta_1_manual = 0.63427;
fl_beta_1_routine = 0.58738;
fl_beta_1_analytical = 0.5784;
fl_Y_manual = 3.2291;
fl_Y_routine = 2.2223;
fl_Y_analytical = 1.7487;
fl_w1o1_init = 2.3157;
fl_w1o2_init = 3.2178;
fl_w1o3_init = 4.329;
fl_w2o1_init = 1.942;
fl_w2o2_init = 3.2247;
fl_w2o3_init = 3.3738;
it_data_year = 1989;
fl_potwrker_1 = 9.9687;
fl_potwrker_2 = 12.5164;
bl_skilled = false;
st_exa_string = "homogeneous rho at 0.64, unskilled";
elseif (it_example_inputs == 3)
fl_rho_manual = 0.34186;
fl_rho_routine = 0.34186;
fl_rho_analytical = 0.34186;
fl_beta_1_manual = 0.63075;
fl_beta_1_routine = 0.6326;
fl_beta_1_analytical = 0.53894;
fl_Y_manual = 5.5703;
fl_Y_routine = 4.6673;
fl_Y_analytical = 2.5644;
fl_w1o1_init = 2.263;
fl_w1o2_init = 2.5991;
fl_w1o3_init = 3.6533;
fl_w2o1_init = 1.7636;
fl_w2o2_init = 2.4062;
fl_w2o3_init = 2.8429;
it_data_year = 2010;
fl_potwrker_1 = 16.4952;
fl_potwrker_2 = 19.4271;
bl_skilled = false;
st_exa_string = "homogeneous rho at 0.34, unskilled";
elseif (it_example_inputs == 4)
fl_rho_manual = 0.75002424;
fl_rho_routine = 0.244249613;
fl_rho_analytical = 0.244249613;
fl_beta_1_manual = 0.703785173;
fl_beta_1_routine = 0.687107264;
fl_beta_1_analytical = 0.706254232;
fl_Y_manual = 0.124479951;
fl_Y_routine = 0.39857586;
fl_Y_analytical = 1.388880655;
fl_w1o1_init = 5.758649;
fl_w1o2_init = 6.221019;
fl_w1o3_init = 7.977073;
fl_w2o1_init = 2.376239;
fl_w2o2_init = 4.863073;
fl_w2o3_init = 5.881686;
it_data_year = 1996;
fl_potwrker_1 = 16.4952;
fl_potwrker_2 = 19.4271;
bl_skilled = true;
st_exa_string = "heter rho (0.75, 0.24, 0.24), skilled";
end
mp_params('fl_rho_manual') = fl_rho_manual;
mp_params('fl_rho_routine') = fl_rho_routine;
mp_params('fl_rho_analytical') = fl_rho_analytical;
mp_params('fl_beta_1_manual') = fl_beta_1_manual;
mp_params('fl_beta_1_routine') = fl_beta_1_routine;
mp_params('fl_beta_1_analytical') = fl_beta_1_analytical;
mp_params('fl_Y_manual') = fl_Y_manual;
mp_params('fl_Y_routine') = fl_Y_routine;
mp_params('fl_Y_analytical') = fl_Y_analytical;
mp_data('fl_w1o1_init') = fl_w1o1_init;
mp_data('fl_w1o2_init') = fl_w1o2_init;
mp_data('fl_w1o3_init') = fl_w1o3_init;
mp_data('fl_w2o1_init') = fl_w2o1_init;
mp_data('fl_w2o2_init') = fl_w2o2_init;
mp_data('fl_w2o3_init') = fl_w2o3_init;
mp_data('fl_potwrker_1') = fl_potwrker_1;
mp_data('fl_potwrker_2') = fl_potwrker_2;
it_data_year = it_data_year - 1989;
bl_checkminmax = true;
it_solve_n1n2n3 = 3;
[ar_w1_iter_endo, ar_w2_iter_hat, ar_w2_iter_gap, ...
mp_wages, mp_fl_labor_demanded, mp_fl_labor_supplied, ...
mp_fl_labor_occprbty, fl_mse_excess_demand, mp_fl_labor_excess_demand] = ...
bfw_solveequi_kwfw(mp_params, mp_data, mp_func, mp_controls, ...
it_solve_n1n2n3, it_data_year, bl_skilled, bl_checkminmax);
disp('');
disp('');
disp('XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX');
disp(['EXAMPLE ' num2str(it_example_inputs) ', ' st_exa_common_str ', ' char(st_exa_string)]);
disp('XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX');
ff_container_map_display(mp_wages);
ff_container_map_display(mp_fl_labor_demanded);
ff_container_map_display(mp_fl_labor_supplied);
ff_container_map_display(mp_fl_labor_occprbty);
ff_container_map_display(mp_fl_labor_excess_demand);
end
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EXAMPLE 1, bfw_solveequi_kwfw(), homogeneous rho at 0.18, unskilled
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CONTAINER NAME: mp_wages Scalars
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i idx value
_ ___ ______
C001 1 1 1.2165
C002 2 2 1.8629
C003 3 3 3.227
C101 4 4 1.5779
C102 5 5 1.819
C103 6 6 3.7951
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CONTAINER NAME: mp_fl_labor_demanded Scalars
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i idx value
_ ___ ______
C001 1 1 1.6514
C002 2 2 1.0896
C003 3 3 1.4662
C101 4 4 4.3057
C102 5 5 3.1524
C103 6 6 1.9726
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CONTAINER NAME: mp_fl_labor_supplied Scalars
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i idx value
_ ___ ______
C001 1 1 1.6514
C002 2 2 1.0896
C003 3 3 1.4662
C101 4 4 4.3057
C102 5 5 3.1524
C103 6 6 1.9726
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CONTAINER NAME: mp_fl_labor_occprbty Scalars
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i idx value
_ ___ ________
C001 1 1 0.13194
C002 2 2 0.087055
C003 3 3 0.11714
C101 4 4 0.43193
C102 5 5 0.31623
C103 6 6 0.19788
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CONTAINER NAME: mp_fl_labor_excess_demand Scalars
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i idx value
_ ___ ___________
C001 1 1 -3.4607e-08
C002 2 2 -2.3265e-07
C003 3 3 6.268e-07
C101 4 4 -2.6645e-15
C102 5 5 -2.2204e-15
C103 6 6 -2.2204e-16
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EXAMPLE 2, bfw_solveequi_kwfw(), homogeneous rho at 0.64, unskilled
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CONTAINER NAME: mp_wages Scalars
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i idx value
_ ___ ______
C001 1 1 1.2481
C002 2 2 1.8712
C003 3 3 3.1468
C101 4 4 1.5614
C102 5 5 1.8288
C103 6 6 3.8377
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CONTAINER NAME: mp_fl_labor_demanded Scalars
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i idx value
_ ___ ______
C001 1 1 1.6914
C002 2 2 1.0934
C003 3 3 1.4297
C101 4 4 4.2646
C102 5 5 3.1707
C103 6 6 1.9952
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CONTAINER NAME: mp_fl_labor_supplied Scalars
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i idx value
_ ___ ______
C001 1 1 1.6914
C002 2 2 1.0934
C003 3 3 1.4297
C101 4 4 4.2646
C102 5 5 3.1707
C103 6 6 1.9952
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CONTAINER NAME: mp_fl_labor_occprbty Scalars
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i idx value
_ ___ ________
C001 1 1 0.13513
C002 2 2 0.087358
C003 3 3 0.11423
C101 4 4 0.42779
C102 5 5 0.31807
C103 6 6 0.20015
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CONTAINER NAME: mp_fl_labor_excess_demand Scalars
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i idx value
_ ___ ___________
C001 1 1 -9.373e-09
C002 2 2 -1.9675e-07
C003 3 3 3.6084e-07
C101 4 4 -8.8818e-16
C102 5 5 1.3323e-15
C103 6 6 -2.2204e-16
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EXAMPLE 3, bfw_solveequi_kwfw(), homogeneous rho at 0.34, unskilled
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CONTAINER NAME: mp_wages Scalars
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i idx value
_ ___ ______
C001 1 1 1.5675
C002 2 2 2.5998
C003 3 3 3.0763
C101 4 4 1.9027
C102 5 5 2.7234
C103 6 6 3.72
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CONTAINER NAME: mp_fl_labor_demanded Scalars
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i idx value
_ ___ ______
C001 1 1 3.9729
C002 2 2 2.8316
C003 3 3 2.6363
C101 4 4 6.6763
C102 5 5 6.0249
C103 6 6 2.5039
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CONTAINER NAME: mp_fl_labor_supplied Scalars
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i idx value
_ ___ ______
C001 1 1 3.9729
C002 2 2 2.8316
C003 3 3 2.6363
C101 4 4 6.6763
C102 5 5 6.0249
C103 6 6 2.5039
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CONTAINER NAME: mp_fl_labor_occprbty Scalars
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i idx value
_ ___ _______
C001 1 1 0.2045
C002 2 2 0.14575
C003 3 3 0.1357
C101 4 4 0.40474
C102 5 5 0.36525
C103 6 6 0.1518
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CONTAINER NAME: mp_fl_labor_excess_demand Scalars
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i idx value
_ ___ ___________
C001 1 1 8.8193e-08
C002 2 2 6.1579e-07
C003 3 3 -1.2231e-06
C101 4 4 -3.5527e-15
C102 5 5 1.7764e-15
C103 6 6 0
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EXAMPLE 4, bfw_solveequi_kwfw(), heter rho (0.75, 0.24, 0.24), skilled
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CONTAINER NAME: mp_wages Scalars
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i idx value
_ ___ ______
C011 1 1 2.2661
C012 2 2 5.3853
C013 3 3 6.7077
C111 4 4 3.5562
C112 5 5 6.838
C113 6 6 9.4355
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CONTAINER NAME: mp_fl_labor_demanded Scalars
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i idx value
_ ___ ________
C011 1 1 0.032483
C012 2 2 0.23898
C013 3 3 0.83121
C111 4 4 0.1707
C112 5 5 0.49335
C113 6 6 1.6895
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CONTAINER NAME: mp_fl_labor_supplied Scalars
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i idx value
_ ___ ________
C011 1 1 0.032483
C012 2 2 0.23898
C013 3 3 0.83121
C111 4 4 0.1707
C112 5 5 0.49335
C113 6 6 1.6895
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CONTAINER NAME: mp_fl_labor_occprbty Scalars
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i idx value
_ ___ ________
C011 1 1 0.018322
C012 2 2 0.1348
C013 3 3 0.46886
C111 4 4 0.068174
C112 5 5 0.19703
C113 6 6 0.67473
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CONTAINER NAME: mp_fl_labor_excess_demand Scalars
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i idx value
_ ___ ___________
C011 1 1 -1.8041e-09
C012 2 2 5.6774e-08
C013 3 3 8.1332e-08
C111 4 4 -2.7756e-17
C112 5 5 5.5511e-17
C113 6 6 2.2204e-167.2 Equilibrium W to Q to W Contraction By Skill Group
This is the example vignette for function: bfw_solveequi_w2q2w from the PrjLabEquiBFW Package.
7.2.1 Default
[mp_fl_labor_occprbty,mp_fl_labor_supplied] = bfw_solveequi_w2q2w();
ITER:;it_speed_shifter_ctr=1;it_equi_wage_ctr=1;bl_continue=1;fl_ds_gap_mse=1.0294;fl_total_wage_change_mse=2.4494
2.9507 2.8632 5.2962
1.7458 2.4472 3.9586
4.2925 3.7644 1.5416
2.2735 1.6222 1.3410
3.9933 2.9733 1.8551
2.1150 1.2813 1.6136
ITER:;it_speed_shifter_ctr=1;it_equi_wage_ctr=2;bl_continue=1;fl_ds_gap_mse=0.62115;fl_total_wage_change_mse=1.2697
2.0535 2.6792 5.8550
1.4375 2.3313 4.0597
4.9024 3.0389 1.6928
2.1150 1.2813 1.6136
4.1907 2.9908 1.7891
1.8080 1.2610 1.7054
ITER:;it_speed_shifter_ctr=1;it_equi_wage_ctr=10;bl_continue=1;fl_ds_gap_mse=0.0075186;fl_total_wage_change_mse=0.025808
1.5739 1.8511 3.9011
1.2165 1.8810 3.2705
4.3801 3.1280 1.9299
1.6748 1.0915 1.4595
4.3088 3.1446 1.9595
1.6475 1.0973 1.4818
ITER:;it_speed_shifter_ctr=1;it_equi_wage_ctr=20;bl_continue=1;fl_ds_gap_mse=6.4007e-05;fl_total_wage_change_mse=0.0002943
1.5762 1.8205 3.8023
1.2159 1.8637 3.2298
4.3126 3.1498 1.9685
1.6528 1.0893 1.4649
4.3065 3.1520 1.9717
1.6505 1.0900 1.4673
ITER:;it_speed_shifter_ctr=1;it_equi_wage_ctr=30;bl_continue=1;fl_ds_gap_mse=6.0214e-07;fl_total_wage_change_mse=2.8652e-06
1.5778 1.8191 3.7958
1.2164 1.8629 3.2273
4.3064 3.1522 1.9722
1.6515 1.0896 1.4660
4.3058 3.1524 1.9726
1.6513 1.0897 1.4663
ITER:;it_speed_shifter_ctr=1;it_equi_wage_ctr=39;bl_continue=0;fl_ds_gap_mse=9.1058e-09;fl_total_wage_change_mse=4.3545e-08
1.5780 1.8190 3.7950
1.2165 1.8628 3.2270
4.3057 3.1524 1.9727
1.6514 1.0896 1.4662
4.3057 3.1524 1.9727
1.6514 1.0896 1.4662
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CONTAINER NAME: mp_wages Scalars
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i idx value
_ ___ ______
C001 1 1 1.2165
C002 2 2 1.8628
C003 3 3 3.227
C101 4 4 1.578
C102 5 5 1.819
C103 6 6 3.795
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CONTAINER NAME: mp_fl_labor_supplied Scalars
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i idx value
_ ___ ______
C001 1 1 1.6514
C002 2 2 1.0896
C003 3 3 1.4662
C101 4 4 4.3057
C102 5 5 3.1524
C103 6 6 1.9727
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CONTAINER NAME: mp_fl_labor_demanded Scalars
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i idx value
_ ___ ______
C001 1 1 1.6514
C002 2 2 1.0896
C003 3 3 1.4662
C101 4 4 4.3057
C102 5 5 3.1524
C103 6 6 1.97277.2.2 Vary Parameters, Solve Equilibrium Quantities Wages, W to Q to W Contraction
% 2. Get Parameters and data
bl_log_wage = true;
bl_verbose_nest = false;
% Get Parameters
mp_params = bfw_mp_param_esti(bl_log_wage);
mp_param_aux = bfw_mp_param_aux(bl_verbose_nest);
mp_params = [mp_params ; mp_param_aux];
% Get Data
mp_data = bfw_mp_data(bl_verbose_nest);
% Get Functions
mp_func_demand = bfw_mp_func_demand(bl_verbose_nest);
mp_func_supply = bfw_mp_func_supply(bl_log_wage, bl_verbose_nest);
mp_func_equi = bfw_mp_func_equi(bl_verbose_nest);
mp_func = [mp_func_equi; mp_func_supply; mp_func_demand];
% Get Controls
mp_controls = bfw_mp_control();
mp_controls('bl_bfw_solveequi_w2q2w_display') = false;
mp_controls('bl_bfw_solveequi_w2q2w_display_verbose') = false;
st_exa_common_str = 'bfw_solveequi_w2q2w()';
for it_example_inputs = [1,2,3,4]
% Different testing scenariors
if (it_example_inputs == 1)
fl_rho_manual = 0.18;
fl_rho_routine = 0.18;
fl_rho_analytical = 0.18;
fl_beta_1_manual = 1 - 0.26;
fl_beta_1_routine = 1 - 0.30;
fl_beta_1_analytical = 1 - 0.40;
fl_Y_manual = 3.4084;
fl_Y_routine = 2.3402;
fl_Y_analytical = 1.7552;
fl_w1o1_init = 2.315707;
fl_w1o2_init = 3.217799;
fl_w1o3_init = 4.329016;
fl_w2o1_init = 1.942;
fl_w2o2_init = 3.2247;
fl_w2o3_init = 3.3738;
it_data_year = 1989;
fl_potwrker_1 = 9.9687;
fl_potwrker_2 = 12.5164;
bl_skilled = false;
st_exa_string = "homogeneous rho at 0.18, unskilled";
elseif (it_example_inputs == 2)
fl_rho_manual = 0.64678;
fl_rho_routine = 0.64678;
fl_rho_analytical = 0.64678;
fl_beta_1_manual = 0.63427;
fl_beta_1_routine = 0.58738;
fl_beta_1_analytical = 0.5784;
fl_Y_manual = 3.2291;
fl_Y_routine = 2.2223;
fl_Y_analytical = 1.7487;
fl_w1o1_init = 2.3157;
fl_w1o2_init = 3.2178;
fl_w1o3_init = 4.329;
fl_w2o1_init = 1.942;
fl_w2o2_init = 3.2247;
fl_w2o3_init = 3.3738;
it_data_year = 1989;
fl_potwrker_1 = 9.9687;
fl_potwrker_2 = 12.5164;
bl_skilled = false;
st_exa_string = "homogeneous rho at 0.64, unskilled";
elseif (it_example_inputs == 3)
fl_rho_manual = 0.34186;
fl_rho_routine = 0.34186;
fl_rho_analytical = 0.34186;
fl_beta_1_manual = 0.63075;
fl_beta_1_routine = 0.6326;
fl_beta_1_analytical = 0.53894;
fl_Y_manual = 5.5703;
fl_Y_routine = 4.6673;
fl_Y_analytical = 2.5644;
fl_w1o1_init = 2.263;
fl_w1o2_init = 2.5991;
fl_w1o3_init = 3.6533;
fl_w2o1_init = 1.7636;
fl_w2o2_init = 2.4062;
fl_w2o3_init = 2.8429;
it_data_year = 2010;
fl_potwrker_1 = 16.4952;
fl_potwrker_2 = 19.4271;
bl_skilled = false;
st_exa_string = "homogeneous rho at 0.34, unskilled";
elseif (it_example_inputs == 4)
fl_rho_manual = 0.75002424;
fl_rho_routine = 0.244249613;
fl_rho_analytical = 0.244249613;
fl_beta_1_manual = 0.703785173;
fl_beta_1_routine = 0.687107264;
fl_beta_1_analytical = 0.706254232;
fl_Y_manual = 0.124479951;
fl_Y_routine = 0.39857586;
fl_Y_analytical = 1.388880655;
fl_w1o1_init = 5.758649;
fl_w1o2_init = 6.221019;
fl_w1o3_init = 7.977073;
fl_w2o1_init = 2.376239;
fl_w2o2_init = 4.863073;
fl_w2o3_init = 5.881686;
it_data_year = 1996;
fl_potwrker_1 = 16.4952;
fl_potwrker_2 = 19.4271;
bl_skilled = true;
st_exa_string = "heter rho (0.75, 0.24, 0.24), skilled";
end
mp_params('fl_rho_manual') = fl_rho_manual;
mp_params('fl_rho_routine') = fl_rho_routine;
mp_params('fl_rho_analytical') = fl_rho_analytical;
mp_params('fl_beta_1_manual') = fl_beta_1_manual;
mp_params('fl_beta_1_routine') = fl_beta_1_routine;
mp_params('fl_beta_1_analytical') = fl_beta_1_analytical;
mp_params('fl_Y_manual') = fl_Y_manual;
mp_params('fl_Y_routine') = fl_Y_routine;
mp_params('fl_Y_analytical') = fl_Y_analytical;
mp_data('fl_w1o1_init') = fl_w1o1_init;
mp_data('fl_w1o2_init') = fl_w1o2_init;
mp_data('fl_w1o3_init') = fl_w1o3_init;
mp_data('fl_w2o1_init') = fl_w2o1_init;
mp_data('fl_w2o2_init') = fl_w2o2_init;
mp_data('fl_w2o3_init') = fl_w2o3_init;
mp_data('fl_potwrker_1') = fl_potwrker_1;
mp_data('fl_potwrker_2') = fl_potwrker_2;
it_data_year = it_data_year - 1989;
bl_checkminmax = true;
it_solve_n1n2n3 = 3;
[~, ~, ~, ~, ~, ~, ~, ~, ~, ...
mp_wages, mp_fl_labor_demanded, mp_fl_labor_supplied, ...
mp_fl_labor_occprbty] = ...
bfw_solveequi_w2q2w(mp_params, mp_data, mp_func, mp_controls, ...
it_solve_n1n2n3, it_data_year, bl_skilled, bl_checkminmax);
disp('');
disp('');
disp('XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX');
disp(['EXAMPLE ' num2str(it_example_inputs) ', ' st_exa_common_str ', ' char(st_exa_string)]);
disp('XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX');
ff_container_map_display(mp_wages);
ff_container_map_display(mp_fl_labor_demanded);
ff_container_map_display(mp_fl_labor_supplied);
ff_container_map_display(mp_fl_labor_occprbty);
end
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
EXAMPLE 1, bfw_solveequi_w2q2w(), homogeneous rho at 0.18, unskilled
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
----------------------------------------
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
CONTAINER NAME: mp_wages Scalars
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
i idx value
_ ___ ______
C001 1 1 1.2165
C002 2 2 1.8628
C003 3 3 3.227
C101 4 4 1.578
C102 5 5 1.819
C103 6 6 3.795
----------------------------------------
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
CONTAINER NAME: mp_fl_labor_demanded Scalars
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
i idx value
_ ___ ______
C001 1 1 1.6514
C002 2 2 1.0896
C003 3 3 1.4662
C101 4 4 4.3057
C102 5 5 3.1524
C103 6 6 1.9727
----------------------------------------
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
CONTAINER NAME: mp_fl_labor_supplied Scalars
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
i idx value
_ ___ ______
C001 1 1 1.6514
C002 2 2 1.0896
C003 3 3 1.4662
C101 4 4 4.3057
C102 5 5 3.1524
C103 6 6 1.9727
----------------------------------------
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
CONTAINER NAME: mp_fl_labor_occprbty Scalars
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
i idx value
_ ___ ________
C001 1 1 0.13194
C002 2 2 0.087055
C003 3 3 0.11714
C101 4 4 0.43193
C102 5 5 0.31623
C103 6 6 0.19788
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
EXAMPLE 2, bfw_solveequi_w2q2w(), homogeneous rho at 0.64, unskilled
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
----------------------------------------
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
CONTAINER NAME: mp_wages Scalars
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
i idx value
_ ___ ______
C001 1 1 1.2482
C002 2 2 1.8713
C003 3 3 3.1469
C101 4 4 1.5614
C102 5 5 1.8289
C103 6 6 3.8378
----------------------------------------
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
CONTAINER NAME: mp_fl_labor_demanded Scalars
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
i idx value
_ ___ ______
C001 1 1 1.6914
C002 2 2 1.0934
C003 3 3 1.4297
C101 4 4 4.2646
C102 5 5 3.1708
C103 6 6 1.9952
----------------------------------------
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
CONTAINER NAME: mp_fl_labor_supplied Scalars
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
i idx value
_ ___ ______
C001 1 1 1.6914
C002 2 2 1.0934
C003 3 3 1.4297
C101 4 4 4.2645
C102 5 5 3.1707
C103 6 6 1.9952
----------------------------------------
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
CONTAINER NAME: mp_fl_labor_occprbty Scalars
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
i idx value
_ ___ ________
C001 1 1 0.13514
C002 2 2 0.087359
C003 3 3 0.11423
C101 4 4 0.42779
C102 5 5 0.31807
C103 6 6 0.20014
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
EXAMPLE 3, bfw_solveequi_w2q2w(), homogeneous rho at 0.34, unskilled
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
----------------------------------------
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
CONTAINER NAME: mp_wages Scalars
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
i idx value
_ ___ ______
C001 1 1 1.5675
C002 2 2 2.5998
C003 3 3 3.0763
C101 4 4 1.9027
C102 5 5 2.7234
C103 6 6 3.72
----------------------------------------
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
CONTAINER NAME: mp_fl_labor_demanded Scalars
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
i idx value
_ ___ ______
C001 1 1 3.9729
C002 2 2 2.8316
C003 3 3 2.6364
C101 4 4 6.6763
C102 5 5 6.0249
C103 6 6 2.5039
----------------------------------------
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
CONTAINER NAME: mp_fl_labor_supplied Scalars
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
i idx value
_ ___ ______
C001 1 1 3.9729
C002 2 2 2.8316
C003 3 3 2.6363
C101 4 4 6.6763
C102 5 5 6.0249
C103 6 6 2.5039
----------------------------------------
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
CONTAINER NAME: mp_fl_labor_occprbty Scalars
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
i idx value
_ ___ _______
C001 1 1 0.2045
C002 2 2 0.14576
C003 3 3 0.1357
C101 4 4 0.40474
C102 5 5 0.36525
C103 6 6 0.1518
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
EXAMPLE 4, bfw_solveequi_w2q2w(), heter rho (0.75, 0.24, 0.24), skilled
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
----------------------------------------
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
CONTAINER NAME: mp_wages Scalars
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
i idx value
_ ___ ______
C011 1 1 2.2661
C012 2 2 5.3851
C013 3 3 6.7078
C111 4 4 3.5562
C112 5 5 6.8374
C113 6 6 9.4358
----------------------------------------
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
CONTAINER NAME: mp_fl_labor_demanded Scalars
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
i idx value
_ ___ ________
C011 1 1 0.032483
C012 2 2 0.23899
C013 3 3 0.8312
C111 4 4 0.1707
C112 5 5 0.49341
C113 6 6 1.6894
----------------------------------------
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
CONTAINER NAME: mp_fl_labor_supplied Scalars
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
i idx value
_ ___ ________
C011 1 1 0.032483
C012 2 2 0.23897
C013 3 3 0.83122
C111 4 4 0.1707
C112 5 5 0.49336
C113 6 6 1.6895
----------------------------------------
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
CONTAINER NAME: mp_fl_labor_occprbty Scalars
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
i idx value
_ ___ ________
C011 1 1 0.018322
C012 2 2 0.13479
C013 3 3 0.46886
C111 4 4 0.068174
C112 5 5 0.19704
C113 6 6 0.67473