1 Life Cycle Dynamic Programming under Unemployment Shock
This is the example vignette for function: snw_vfi_main_bisec_vec from the PrjOptiSNW Package. This function solves for policy function using Exact Vectorized Solution. Value in 2020 with surprise COVID unemployment Shock, with non-covid year Value as the continuation function. The file focuses on the change in value function, asset choice, and consumption choice given a one period unemployment shock (that does not reappear in the future again).
1.1 Test SNW_VFI_UNEMP
Solve the Regular Value and Also the Unemployment Value.
First, solve for value without unemployment issue (use the vectorized code that was previously tested):
mp_params = snw_mp_param('default_docdense');
mp_controls = snw_mp_control('default_test');
[V_VFI_ss,ap_VFI_ss,cons_VFI_ss,mp_valpol_more_ss] = ...
snw_vfi_main_bisec_vec(mp_params, mp_controls);
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:83 of 82, time-this-age:7.9376
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:82 of 82, time-this-age:6.2356
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:81 of 82, time-this-age:6.2155
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:80 of 82, time-this-age:6.3254
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:79 of 82, time-this-age:6.3074
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:78 of 82, time-this-age:6.2427
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:77 of 82, time-this-age:6.1961
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:76 of 82, time-this-age:6.4401
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:75 of 82, time-this-age:6.0576
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:74 of 82, time-this-age:6.3188
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:73 of 82, time-this-age:6.1781
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:72 of 82, time-this-age:6.3078
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:71 of 82, time-this-age:6.4338
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:70 of 82, time-this-age:6.33
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:69 of 82, time-this-age:6.4742
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:68 of 82, time-this-age:6.2434
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:67 of 82, time-this-age:6.196
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:66 of 82, time-this-age:6.3067
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:65 of 82, time-this-age:6.381
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:64 of 82, time-this-age:6.3403
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:63 of 82, time-this-age:6.4496
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:62 of 82, time-this-age:6.1753
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:61 of 82, time-this-age:6.3953
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:60 of 82, time-this-age:6.2145
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:59 of 82, time-this-age:6.3754
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:58 of 82, time-this-age:6.1826
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:57 of 82, time-this-age:6.4472
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:56 of 82, time-this-age:6.3577
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:55 of 82, time-this-age:6.3632
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:54 of 82, time-this-age:6.3623
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:53 of 82, time-this-age:6.477
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:52 of 82, time-this-age:6.4007
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:51 of 82, time-this-age:6.1299
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:50 of 82, time-this-age:6.0888
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:49 of 82, time-this-age:6.0058
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:48 of 82, time-this-age:6.4668
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:47 of 82, time-this-age:6.7856
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:46 of 82, time-this-age:6.6894
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:45 of 82, time-this-age:6.5303
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:44 of 82, time-this-age:6.5652
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:43 of 82, time-this-age:6.4601
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:42 of 82, time-this-age:6.5478
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:41 of 82, time-this-age:6.5693
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:40 of 82, time-this-age:6.4817
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:39 of 82, time-this-age:6.1035
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:38 of 82, time-this-age:6.3312
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:37 of 82, time-this-age:6.652
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:36 of 82, time-this-age:6.5706
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:35 of 82, time-this-age:6.3328
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:34 of 82, time-this-age:6.3866
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:33 of 82, time-this-age:6.3876
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:32 of 82, time-this-age:6.5786
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:31 of 82, time-this-age:6.4579
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:30 of 82, time-this-age:6.4423
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:29 of 82, time-this-age:6.5074
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:28 of 82, time-this-age:6.6582
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:27 of 82, time-this-age:6.6605
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:26 of 82, time-this-age:6.7467
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:25 of 82, time-this-age:6.567
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:24 of 82, time-this-age:6.6851
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:23 of 82, time-this-age:6.7011
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:22 of 82, time-this-age:6.3939
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:21 of 82, time-this-age:6.5634
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:20 of 82, time-this-age:6.4832
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:19 of 82, time-this-age:6.4651
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:18 of 82, time-this-age:6.5353
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:17 of 82, time-this-age:6.4967
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:16 of 82, time-this-age:6.387
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:15 of 82, time-this-age:6.345
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:14 of 82, time-this-age:6.577
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:13 of 82, time-this-age:6.7646
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:12 of 82, time-this-age:6.8183
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:11 of 82, time-this-age:6.4142
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:10 of 82, time-this-age:6.342
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:9 of 82, time-this-age:6.4692
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:8 of 82, time-this-age:6.5127
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:7 of 82, time-this-age:6.5417
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:6 of 82, time-this-age:6.5962
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:5 of 82, time-this-age:6.4304
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:4 of 82, time-this-age:6.3748
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:3 of 82, time-this-age:6.2745
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:2 of 82, time-this-age:6.5175
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:1 of 82, time-this-age:6.3803
Completed SNW_VFI_MAIN_BISEC_VEC;SNW_MP_PARAM=default_docdense;SNW_MP_CONTROL=default_test;time=535.1119
----------------------------------------
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
CONTAINER NAME: mp_outcomes ND Array (Matrix etc)
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
i idx ndim numel rowN colN sum mean std coefvari min max
_ ___ ____ ________ ____ _________ ___________ _______ ______ ________ ________ __________
V_VFI 1 1 6 4.37e+07 83 5.265e+05 -8.6673e+08 -19.834 28.177 -1.4206 -615.77 -0.0071775
ap_VFI 2 2 6 4.37e+07 83 5.265e+05 1.4164e+09 32.412 36.8 1.1354 0 163.73
cons_VFI 3 3 6 4.37e+07 83 5.265e+05 2.131e+08 4.8764 8.3268 1.7076 0.036717 141.61
xxx TABLE:V_VFI xxxxxxxxxxxxxxxxxx
c1 c2 c3 c4 c5 c526496 c526497 c526498 c526499 c526500
_______ _______ _______ _______ _______ _________ _________ _________ _________ _________
r1 -376.05 -375.66 -373.17 -367.4 -358.05 -6.68 -6.5297 -6.3792 -6.2274 -6.0722
r2 -363.8 -363.41 -360.93 -355.25 -346.25 -6.4892 -6.3437 -6.1974 -6.0495 -5.8977
r3 -351.75 -351.36 -348.9 -343.44 -334.9 -6.2948 -6.1538 -6.0116 -5.8671 -5.7186
r4 -339.81 -339.45 -337.16 -332.06 -324.04 -6.095 -5.9584 -5.82 -5.6786 -5.533
r5 -328.99 -328.65 -326.51 -321.72 -314.17 -5.9054 -5.7725 -5.6372 -5.4986 -5.3556
r79 -14.033 -14.02 -13.926 -13.689 -13.287 -0.22848 -0.21775 -0.20768 -0.19824 -0.18938
r80 -12.564 -12.55 -12.457 -12.22 -11.818 -0.17427 -0.16611 -0.15842 -0.15117 -0.14434
r81 -10.778 -10.764 -10.671 -10.434 -10.032 -0.11927 -0.11368 -0.10843 -0.10346 -0.098767
r82 -8.4226 -8.4089 -8.3155 -8.0786 -7.6766 -0.06597 -0.06284 -0.059924 -0.057184 -0.054584
r83 -5.0665 -5.0529 -4.9595 -4.7226 -4.3206 -0.020968 -0.019972 -0.019038 -0.018161 -0.017336
xxx TABLE:ap_VFI xxxxxxxxxxxxxxxxxx
c1 c2 c3 c4 c5 c526496 c526497 c526498 c526499 c526500
__ __ __________ _________ __________ _______ _______ _______ _______ _______
r1 0 0 0.0005656 0.0075134 0.022901 114.76 120.42 126.29 132.39 138.81
r2 0 0 0.00051498 0.0065334 0.021549 114.87 120.54 126.42 132.55 138.97
r3 0 0 0.00051498 0.0049294 0.019875 114.98 120.67 126.57 132.72 139.13
r4 0 0 0.00051498 0.0047937 0.019672 115.74 121.44 127.36 133.52 139.94
r5 0 0 0.00048517 0.0046683 0.019484 116.51 122.22 128.16 134.34 140.76
r79 0 0 0 0 0.00051498 81.091 85.68 90.325 94.371 98.41
r80 0 0 0 0 0 76.669 80.55 84.292 88.029 91.682
r81 0 0 0 0 0 68.313 71.52 74.459 77.816 81.096
r82 0 0 0 0 0 50.126 53.467 56.953 58.728 60.587
r83 0 0 0 0 0 0 0 0 0 0
xxx TABLE:cons_VFI xxxxxxxxxxxxxxxxxx
c1 c2 c3 c4 c5 c526496 c526497 c526498 c526499 c526500
________ ________ ________ ________ ________ _______ _______ _______ _______ _______
r1 0.036717 0.037251 0.040426 0.04363 0.048012 9.6396 9.8066 9.9533 10.06 10.06
r2 0.036717 0.037251 0.040477 0.04461 0.049364 9.8014 9.9571 10.088 10.177 10.177
r3 0.036717 0.037251 0.040477 0.046214 0.051039 9.9664 10.108 10.22 10.287 10.287
r4 0.038144 0.038678 0.041903 0.047776 0.052666 10.118 10.244 10.339 10.388 10.388
r5 0.039534 0.040068 0.043323 0.04929 0.054241 10.258 10.369 10.446 10.483 10.483
r79 0.19737 0.19791 0.20163 0.21175 0.23093 35.811 37.046 38.418 40.587 42.963
r80 0.19737 0.19791 0.20163 0.21175 0.23145 40.207 42.15 44.426 46.904 49.665
r81 0.19737 0.19791 0.20163 0.21175 0.23145 48.541 51.158 54.236 57.094 60.229
r82 0.19737 0.19791 0.20163 0.21175 0.23145 66.71 69.193 71.724 76.164 80.72
r83 0.19737 0.19791 0.20163 0.21175 0.23145 116.82 122.65 128.66 134.88 141.29 Second, solve for the unemployment value, use the exact-bisec result code, call the snw_vfi_main_bisec_vec.m function with a third input of existing value. xi is the share of income lost during covid year given surprise covid shock, b is the share of income loss that is covered by unemployment insurance. xi=0.5 and b=0 means will lose 50 percent of income given COVID shocks, and the loss will not be covered at all by unemployment insurance.
mp_params('xi') = 0.5;
mp_params('b') = 0;
mp_params('a2_covidyr') = mp_params('a2_covidyr_manna_heaven');
[V_VFI_unemp,ap_VFI_unemp,cons_VFI_unemp,mp_valpol_more_unemp] = ...
snw_vfi_main_bisec_vec(mp_params, mp_controls, V_VFI_ss);
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 1 of 82, time-this-age:6.2923
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 2 of 82, time-this-age:6.5203
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 3 of 82, time-this-age:6.0245
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 4 of 82, time-this-age:6.5906
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 5 of 82, time-this-age:6.4748
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 6 of 82, time-this-age:6.515
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 7 of 82, time-this-age:6.1144
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 8 of 82, time-this-age:6.2132
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 9 of 82, time-this-age:6.5055
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 10 of 82, time-this-age:6.4562
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 11 of 82, time-this-age:6.0604
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 12 of 82, time-this-age:6.641
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 13 of 82, time-this-age:6.5864
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 14 of 82, time-this-age:6.3514
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 15 of 82, time-this-age:6.3017
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 16 of 82, time-this-age:6.2902
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 17 of 82, time-this-age:6.5771
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 18 of 82, time-this-age:6.163
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 19 of 82, time-this-age:6.2954
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 20 of 82, time-this-age:6.162
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 21 of 82, time-this-age:6.0779
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 22 of 82, time-this-age:6.1283
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 23 of 82, time-this-age:6.3978
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 24 of 82, time-this-age:6.4584
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 25 of 82, time-this-age:5.9292
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 26 of 82, time-this-age:6.1225
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 27 of 82, time-this-age:6.4045
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 28 of 82, time-this-age:6.4834
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 29 of 82, time-this-age:6.2843
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 30 of 82, time-this-age:6.2094
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 31 of 82, time-this-age:6.4612
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 32 of 82, time-this-age:6.1629
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 33 of 82, time-this-age:6.4799
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 34 of 82, time-this-age:6.4272
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 35 of 82, time-this-age:6.5508
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 36 of 82, time-this-age:6.1381
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 37 of 82, time-this-age:6.0588
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 38 of 82, time-this-age:6.1133
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 39 of 82, time-this-age:5.9731
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 40 of 82, time-this-age:6.2753
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 41 of 82, time-this-age:6.4228
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 42 of 82, time-this-age:6.0784
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 43 of 82, time-this-age:5.8926
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 44 of 82, time-this-age:6.1351
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 45 of 82, time-this-age:5.9147
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 46 of 82, time-this-age:6.4062
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 47 of 82, time-this-age:6.7344
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 48 of 82, time-this-age:6.278
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 49 of 82, time-this-age:6.2085
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 50 of 82, time-this-age:6.0966
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 51 of 82, time-this-age:6.3449
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 52 of 82, time-this-age:6.2717
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 53 of 82, time-this-age:6.4826
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 54 of 82, time-this-age:6.3431
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 55 of 82, time-this-age:5.9453
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 56 of 82, time-this-age:6.2613
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 57 of 82, time-this-age:6.2364
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 58 of 82, time-this-age:6.0578
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 59 of 82, time-this-age:6.1279
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 60 of 82, time-this-age:6.1238
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 61 of 82, time-this-age:6.2806
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 62 of 82, time-this-age:5.9344
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 63 of 82, time-this-age:6.0212
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 64 of 82, time-this-age:6.3424
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 65 of 82, time-this-age:5.863
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 66 of 82, time-this-age:6.1349
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 67 of 82, time-this-age:5.9904
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 68 of 82, time-this-age:5.9675
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 69 of 82, time-this-age:5.7964
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 70 of 82, time-this-age:6.0091
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 71 of 82, time-this-age:6.0331
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 72 of 82, time-this-age:5.8808
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 73 of 82, time-this-age:6.0943
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 74 of 82, time-this-age:6.0279
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 75 of 82, time-this-age:6.1533
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 76 of 82, time-this-age:6.0662
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 77 of 82, time-this-age:5.7827
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 78 of 82, time-this-age:6.1473
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 79 of 82, time-this-age:6.071
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 80 of 82, time-this-age:6.1187
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 81 of 82, time-this-age:5.9865
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 82 of 82, time-this-age:6.1363
SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock: Age 83 of 82, time-this-age:7.7853
Completed SNW_VFI_MAIN_BISEC_VEC 1 Period Unemp Shock;SNW_MP_PARAM=default_docdense;SNW_MP_CONTROL=default_test;time=517.9941
----------------------------------------
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
CONTAINER NAME: mp_outcomes ND Array (Matrix etc)
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
i idx ndim numel rowN colN sum mean std coefvari min max
_ ___ ____ ________ ____ _________ ___________ _______ ______ ________ ________ __________
V_VFI 1 1 6 4.37e+07 83 5.265e+05 -8.9196e+08 -20.411 29.203 -1.4307 -674.94 -0.0071775
ap_VFI 2 2 6 4.37e+07 83 5.265e+05 1.3793e+09 31.564 36.675 1.1619 0 146.86
cons_VFI 3 3 6 4.37e+07 83 5.265e+05 2.1007e+08 4.807 8.3263 1.7321 0.018623 140.47
xxx TABLE:V_VFI xxxxxxxxxxxxxxxxxx
c1 c2 c3 c4 c5 c526496 c526497 c526498 c526499 c526500
_______ _______ _______ _______ _______ _________ _________ _________ _________ _________
r1 -402.51 -401.01 -392.48 -379.06 -366.5 -6.8096 -6.6548 -6.5005 -6.3459 -6.19
r2 -390.26 -388.76 -380.23 -366.81 -354.4 -6.618 -6.4683 -6.3187 -6.1683 -6.0161
r3 -378.21 -376.71 -368.18 -354.76 -342.64 -6.4227 -6.278 -6.1329 -5.9865 -5.8376
r4 -365.26 -363.87 -355.91 -343.19 -331.62 -6.2297 -6.0896 -5.9486 -5.8058 -5.66
r5 -353.53 -352.23 -344.77 -332.67 -321.59 -6.0467 -5.9107 -5.7733 -5.6336 -5.4905
r79 -14.033 -14.02 -13.926 -13.689 -13.287 -0.2305 -0.21962 -0.20938 -0.19976 -0.19074
r80 -12.564 -12.55 -12.457 -12.22 -11.818 -0.17582 -0.16751 -0.15967 -0.15229 -0.14535
r81 -10.778 -10.764 -10.671 -10.434 -10.032 -0.12032 -0.11462 -0.10926 -0.10422 -0.099453
r82 -8.4226 -8.4089 -8.3155 -8.0786 -7.6766 -0.066524 -0.063355 -0.060398 -0.057602 -0.054961
r83 -5.0665 -5.0529 -4.9595 -4.7226 -4.3206 -0.021146 -0.020134 -0.019185 -0.018294 -0.017458
xxx TABLE:ap_VFI xxxxxxxxxxxxxxxxxx
c1 c2 c3 c4 c5 c526496 c526497 c526498 c526499 c526500
__ __ __ __ __________ _______ _______ _______ _______ _______
r1 0 0 0 0 0.0092181 110.07 115.71 121.57 127.63 133.94
r2 0 0 0 0 0.008238 110.04 115.69 121.55 127.63 133.96
r3 0 0 0 0 0.0066341 110 115.66 121.54 127.64 133.99
r4 0 0 0 0 0.0058019 110.29 115.97 121.86 127.98 134.34
r5 0 0 0 0 0.004998 110.59 116.28 122.19 128.33 134.7
r79 0 0 0 0 0.00051498 81.091 85.231 89.301 93.347 97.387
r80 0 0 0 0 0 75.865 79.539 83.281 87.018 90.672
r81 0 0 0 0 0 67.78 70.52 73.459 76.816 81.091
r82 0 0 0 0 0 50.126 53.467 56.104 57.737 60.587
r83 0 0 0 0 0 0 0 0 0 0
xxx TABLE:cons_VFI xxxxxxxxxxxxxxxxxx
c1 c2 c3 c4 c5 c526496 c526497 c526498 c526499 c526500
________ ________ ________ ________ ________ _______ _______ _______ _______ _______
r1 0.018623 0.019158 0.022901 0.033062 0.04363 9.4621 9.6396 9.8066 9.9533 10.06
r2 0.018623 0.019158 0.022901 0.033062 0.04461 9.6318 9.8014 9.9571 10.088 10.177
r3 0.018623 0.019158 0.022901 0.033062 0.046214 9.8074 9.9664 10.108 10.22 10.287
r4 0.019354 0.019888 0.023632 0.033792 0.047776 9.971 10.118 10.244 10.339 10.388
r5 0.020066 0.020601 0.024344 0.034504 0.04929 10.123 10.258 10.369 10.446 10.483
r79 0.19737 0.19791 0.20163 0.21175 0.23093 34.787 36.471 38.418 40.587 42.963
r80 0.19737 0.19791 0.20163 0.21175 0.23145 40.001 42.15 44.426 46.904 49.665
r81 0.19737 0.19791 0.20163 0.21175 0.23145 48.074 51.158 54.236 57.094 59.234
r82 0.19737 0.19791 0.20163 0.21175 0.23145 65.719 68.202 71.583 76.164 79.729
r83 0.19737 0.19791 0.20163 0.21175 0.23145 115.84 121.66 127.68 133.89 140.31 Difference Between Value and Choices In Unemployment and Future Periods
V_VFI_unemp_drop = V_VFI_ss - V_VFI_unemp;
ap_VFI_unemp_drop = ap_VFI_ss - ap_VFI_unemp;
cons_VFI_unemp_drop = cons_VFI_ss - cons_VFI_unemp;1.2 Define Parameter Frames
Define the matrix dimensions names and dimension vector values. Policy and Value Functions share the same ND dimensional structure.
% Grids:
age_grid = 18:100;
agrid = mp_params('agrid')';
eta_H_grid = mp_params('eta_H_grid')';
eta_S_grid = mp_params('eta_S_grid')';
ar_st_eta_HS_grid = string(cellstr([num2str(eta_H_grid', 'hz=%3.2f;'), num2str(eta_S_grid', 'wz=%3.2f')]));
edu_grid = [0,1];
marry_grid = [0,1];
kids_grid = (1:1:mp_params('n_kidsgrid'))';
% NaN(n_jgrid,n_agrid,n_etagrid,n_educgrid,n_marriedgrid,n_kidsgrid);
cl_mp_datasetdesc = {};
cl_mp_datasetdesc{1} = containers.Map({'name', 'labval'}, {'age', age_grid});
cl_mp_datasetdesc{2} = containers.Map({'name', 'labval'}, {'savings', agrid});
cl_mp_datasetdesc{3} = containers.Map({'name', 'labval'}, {'eta', 1:length(eta_H_grid)});
cl_mp_datasetdesc{4} = containers.Map({'name', 'labval'}, {'edu', edu_grid});
cl_mp_datasetdesc{5} = containers.Map({'name', 'labval'}, {'marry', marry_grid});
cl_mp_datasetdesc{6} = containers.Map({'name', 'labval'}, {'kids', kids_grid});1.3 Analyze Savings and Shocks
First, analyze Savings Levels and Shocks, Aggregate Over All Others, and do various other calculations.
% Generate some Data
mp_support_graph = containers.Map('KeyType', 'char', 'ValueType', 'any');
mp_support_graph('cl_st_xtitle') = {'Savings States, a'};
mp_support_graph('st_legend_loc') = 'eastoutside';
mp_support_graph('bl_graph_logy') = true; % do not log
mp_support_graph('it_legend_select') = 15; % how many shock legends to show
mp_support_graph('cl_colors') = 'jet';MEAN(VAL(A,Z) - VAL(A,Z|unemp)), MEAN(AP(A,Z) - AP(A,Z|unemp)), MEAN(C(A,Z) - C(A,Z|unemp))
Tabulate value and policies along savings and shocks:
% Set
% NaN(n_jgrid,n_agrid,n_etagrid,n_educgrid,n_marriedgrid,n_kidsgrid);
ar_permute = [1,4,5,6,3,2];
% Value Function
tb_az_v = ff_summ_nd_array("MEAN(v(A,Z) - v(A,Z|unemp))", V_VFI_unemp_drop, true, ["mean"], 4, 1, cl_mp_datasetdesc, ar_permute);
xxx MEAN(v(A,Z) - v(A,Z|unemp)) xxxxxxxxxxxxxxxxxxxxxxxxxxx
group savings mean_eta_1 mean_eta_2 mean_eta_3 mean_eta_4 mean_eta_5 mean_eta_6 mean_eta_7 mean_eta_8 mean_eta_9 mean_eta_10 mean_eta_11 mean_eta_12 mean_eta_13 mean_eta_14 mean_eta_15 mean_eta_16 mean_eta_17 mean_eta_18 mean_eta_19 mean_eta_20 mean_eta_21 mean_eta_22 mean_eta_23 mean_eta_24 mean_eta_25 mean_eta_26 mean_eta_27 mean_eta_28 mean_eta_29 mean_eta_30 mean_eta_31 mean_eta_32 mean_eta_33 mean_eta_34 mean_eta_35 mean_eta_36 mean_eta_37 mean_eta_38 mean_eta_39 mean_eta_40 mean_eta_41 mean_eta_42 mean_eta_43 mean_eta_44 mean_eta_45 mean_eta_46 mean_eta_47 mean_eta_48 mean_eta_49 mean_eta_50 mean_eta_51 mean_eta_52 mean_eta_53 mean_eta_54 mean_eta_55 mean_eta_56 mean_eta_57 mean_eta_58 mean_eta_59 mean_eta_60 mean_eta_61 mean_eta_62 mean_eta_63 mean_eta_64 mean_eta_65 mean_eta_66 mean_eta_67 mean_eta_68 mean_eta_69 mean_eta_70 mean_eta_71 mean_eta_72 mean_eta_73 mean_eta_74 mean_eta_75 mean_eta_76 mean_eta_77 mean_eta_78 mean_eta_79 mean_eta_80 mean_eta_81 mean_eta_82 mean_eta_83 mean_eta_84 mean_eta_85 mean_eta_86 mean_eta_87 mean_eta_88 mean_eta_89 mean_eta_90 mean_eta_91 mean_eta_92 mean_eta_93 mean_eta_94 mean_eta_95 mean_eta_96 mean_eta_97 mean_eta_98 mean_eta_99 mean_eta_100 mean_eta_101 mean_eta_102 mean_eta_103 mean_eta_104 mean_eta_105 mean_eta_106 mean_eta_107 mean_eta_108 mean_eta_109 mean_eta_110 mean_eta_111 mean_eta_112 mean_eta_113 mean_eta_114 mean_eta_115 mean_eta_116 mean_eta_117 mean_eta_118 mean_eta_119 mean_eta_120 mean_eta_121 mean_eta_122 mean_eta_123 mean_eta_124 mean_eta_125 mean_eta_126 mean_eta_127 mean_eta_128 mean_eta_129 mean_eta_130 mean_eta_131 mean_eta_132 mean_eta_133 mean_eta_134 mean_eta_135 mean_eta_136 mean_eta_137 mean_eta_138 mean_eta_139 mean_eta_140 mean_eta_141 mean_eta_142 mean_eta_143 mean_eta_144 mean_eta_145 mean_eta_146 mean_eta_147 mean_eta_148 mean_eta_149 mean_eta_150 mean_eta_151 mean_eta_152 mean_eta_153 mean_eta_154 mean_eta_155 mean_eta_156 mean_eta_157 mean_eta_158 mean_eta_159 mean_eta_160 mean_eta_161 mean_eta_162 mean_eta_163 mean_eta_164 mean_eta_165 mean_eta_166 mean_eta_167 mean_eta_168 mean_eta_169 mean_eta_170 mean_eta_171 mean_eta_172 mean_eta_173 mean_eta_174 mean_eta_175 mean_eta_176 mean_eta_177 mean_eta_178 mean_eta_179 mean_eta_180 mean_eta_181 mean_eta_182 mean_eta_183 mean_eta_184 mean_eta_185 mean_eta_186 mean_eta_187 mean_eta_188 mean_eta_189 mean_eta_190 mean_eta_191 mean_eta_192 mean_eta_193 mean_eta_194 mean_eta_195 mean_eta_196 mean_eta_197 mean_eta_198 mean_eta_199 mean_eta_200 mean_eta_201 mean_eta_202 mean_eta_203 mean_eta_204 mean_eta_205 mean_eta_206 mean_eta_207 mean_eta_208 mean_eta_209 mean_eta_210 mean_eta_211 mean_eta_212 mean_eta_213 mean_eta_214 mean_eta_215 mean_eta_216 mean_eta_217 mean_eta_218 mean_eta_219 mean_eta_220 mean_eta_221 mean_eta_222 mean_eta_223 mean_eta_224 mean_eta_225 mean_eta_226 mean_eta_227 mean_eta_228 mean_eta_229 mean_eta_230 mean_eta_231 mean_eta_232 mean_eta_233 mean_eta_234 mean_eta_235 mean_eta_236 mean_eta_237 mean_eta_238 mean_eta_239 mean_eta_240 mean_eta_241 mean_eta_242 mean_eta_243 mean_eta_244 mean_eta_245 mean_eta_246 mean_eta_247 mean_eta_248 mean_eta_249 mean_eta_250 mean_eta_251 mean_eta_252 mean_eta_253 mean_eta_254 mean_eta_255 mean_eta_256 mean_eta_257 mean_eta_258 mean_eta_259 mean_eta_260 mean_eta_261 mean_eta_262 mean_eta_263 mean_eta_264 mean_eta_265 mean_eta_266 mean_eta_267 mean_eta_268 mean_eta_269 mean_eta_270 mean_eta_271 mean_eta_272 mean_eta_273 mean_eta_274 mean_eta_275 mean_eta_276 mean_eta_277 mean_eta_278 mean_eta_279 mean_eta_280 mean_eta_281 mean_eta_282 mean_eta_283 mean_eta_284 mean_eta_285 mean_eta_286 mean_eta_287 mean_eta_288 mean_eta_289 mean_eta_290 mean_eta_291 mean_eta_292 mean_eta_293 mean_eta_294 mean_eta_295 mean_eta_296 mean_eta_297 mean_eta_298 mean_eta_299 mean_eta_300 mean_eta_301 mean_eta_302 mean_eta_303 mean_eta_304 mean_eta_305 mean_eta_306 mean_eta_307 mean_eta_308 mean_eta_309 mean_eta_310 mean_eta_311 mean_eta_312 mean_eta_313 mean_eta_314 mean_eta_315 mean_eta_316 mean_eta_317 mean_eta_318 mean_eta_319 mean_eta_320 mean_eta_321 mean_eta_322 mean_eta_323 mean_eta_324 mean_eta_325 mean_eta_326 mean_eta_327 mean_eta_328 mean_eta_329 mean_eta_330 mean_eta_331 mean_eta_332 mean_eta_333 mean_eta_334 mean_eta_335 mean_eta_336 mean_eta_337 mean_eta_338 mean_eta_339 mean_eta_340 mean_eta_341 mean_eta_342 mean_eta_343 mean_eta_344 mean_eta_345 mean_eta_346 mean_eta_347 mean_eta_348 mean_eta_349 mean_eta_350 mean_eta_351 mean_eta_352 mean_eta_353 mean_eta_354 mean_eta_355 mean_eta_356 mean_eta_357 mean_eta_358 mean_eta_359 mean_eta_360 mean_eta_361 mean_eta_362 mean_eta_363 mean_eta_364 mean_eta_365 mean_eta_366 mean_eta_367 mean_eta_368 mean_eta_369 mean_eta_370 mean_eta_371 mean_eta_372 mean_eta_373 mean_eta_374 mean_eta_375 mean_eta_376 mean_eta_377 mean_eta_378 mean_eta_379 mean_eta_380 mean_eta_381 mean_eta_382 mean_eta_383 mean_eta_384 mean_eta_385 mean_eta_386 mean_eta_387 mean_eta_388 mean_eta_389 mean_eta_390 mean_eta_391 mean_eta_392 mean_eta_393 mean_eta_394 mean_eta_395 mean_eta_396 mean_eta_397 mean_eta_398 mean_eta_399 mean_eta_400 mean_eta_401 mean_eta_402 mean_eta_403 mean_eta_404 mean_eta_405
_____ __________ __________ __________ __________ __________ __________ __________ __________ __________ __________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________
1 0 15.757 14.81 13.917 13.077 12.285 11.541 10.84 10.181 9.5606 8.9777 8.4298 7.9148 7.431 6.9765 6.5496 6.1487 5.7723 5.419 5.0874 4.7761 4.4842 4.2105 3.9541 3.7139 3.4893 3.2793 3.0832 2.9002 2.7295 2.5705 2.4225 2.2848 2.1568 2.0378 1.9271 1.8242 1.7288 1.6399 1.5576 1.4811 1.4099 1.3439 1.2825 1.2254 1.1724 1.1233 1.0775 1.0351 0.99565 0.95884 0.92462 0.89275 0.86296 0.83509 0.80898 0.78455 0.76145 0.73973 0.71929 0.69971 0.68133 0.6637 0.64688 0.63091 0.61538 0.60049 0.58599 0.57215 0.55834 0.54522 0.53216 0.51936 0.507 0.49453 0.48268 0.47078 0.45956 0.44877 0.43925 0.43157 0.42678 12.984 12.279 11.611 10.978 10.38 9.8124 9.2752 8.7666 8.285 7.829 7.3973 6.9887 6.602 6.2361 5.8899 5.5625 5.2529 4.9601 4.6834 4.4219 4.1749 3.9418 3.7221 3.515 3.3202 3.137 2.965 2.8037 2.6525 2.5111 2.3789 2.2553 2.14 2.0323 1.9317 1.838 1.7507 1.6692 1.5935 1.5228 1.4569 1.3956 1.3385 1.2851 1.2355 1.1894 1.1463 1.1063 1.069 1.034 1.0014 0.971 0.94249 0.91572 0.8906 0.86701 0.84465 0.82357 0.80366 0.78458 0.76659 0.74933 0.73277 0.71706 0.70171 0.68699 0.67262 0.65885 0.64512 0.63202 0.61902 0.60622 0.59385 0.58138 0.56951 0.5576 0.54635 0.53554 0.52599 0.5183 0.51347 10.254 9.6987 9.1731 8.6767 8.2088 7.7683 7.3537 6.9636 6.5963 6.2505 5.9248 5.618 5.3288 5.0562 4.7991 4.5566 4.3277 4.1117 3.9077 3.715 3.5331 3.3613 3.1993 3.0466 2.9028 2.7674 2.6402 2.5207 2.4085 2.3035 2.2051 2.1129 2.0267 1.946 1.8705 1.7999 1.734 1.6721 1.6143 1.5602 1.5095 1.462 1.4177 1.3759 1.3369 1.3003 1.2657 1.2334 1.2029 1.1741 1.147 1.1215 1.0972 1.0743 1.0525 1.0317 1.012 0.99305 0.97505 0.95756 0.94093 0.92482 0.90917 0.89427 0.87943 0.86527 0.85115 0.83767 0.82408 0.81105 0.7981 0.78521 0.77282 0.7602 0.74823 0.73616 0.72475 0.71382 0.70407 0.69635 0.69136 10.338 9.7999 9.2879 8.8024 8.3433 7.9099 7.5014 7.1164 6.7538 6.4121 6.0903 5.787 5.5011 5.2316 4.9776 4.738 4.5121 4.2989 4.0979 3.9082 3.7294 3.5609 3.4022 3.2529 3.1126 2.9809 2.8575 2.7419 2.6338 2.5329 2.4388 2.351 2.2693 2.1931 2.1219 2.0557 1.9941 1.9365 1.883 1.833 1.7861 1.7423 1.7014 1.6629 1.6269 1.593 1.5609 1.5307 1.5023 1.4752 1.4495 1.4251 1.4018 1.3796 1.3583 1.3379 1.3182 1.2992 1.2809 1.2629 1.2457 1.2288 1.2122 1.1963 1.1803 1.1649 1.1495 1.1346 1.1196 1.1052 1.0908 1.0765 1.0626 1.0486 1.0353 1.0219 1.0093 0.99715 0.98639 0.97774 0.97209 11.481 10.948 10.442 9.9619 9.5075 9.0781 8.6726 8.29 7.9291 7.5885 7.2672 6.9639 6.6774 6.4069 6.1511 5.9093 5.6804 5.4638 5.2587 5.0643 4.8801 4.7056 4.5402 4.3836 4.2354 4.0951 3.9624 3.8369 3.7183 3.6062 3.5003 3.4 3.3053 3.2155 3.1304 3.0497 2.9731 2.9001 2.8307 2.7645 2.7011 2.6406 2.5826 2.5269 2.4736 2.4223 2.3728 2.3253 2.2795 2.2352 2.1926 2.1515 2.1116 2.073 2.0356 1.9995 1.9645 1.9306 1.8977 1.8655 1.8345 1.8044 1.775 1.7467 1.7189 1.6921 1.6657 1.6404 1.6154 1.5914 1.568 1.5451 1.5231 1.5014 1.4808 1.4605 1.4417 1.4237 1.4078 1.3946 1.3852
2 0.00051498 15.342 14.443 13.593 12.79 12.032 11.317 10.642 10.006 9.4064 8.8416 8.3096 7.8088 7.3375 6.894 6.4768 6.0845 5.7157 5.369 5.0433 4.7373 4.4499 4.1803 3.9274 3.6905 3.4686 3.2611 3.0671 2.886 2.717 2.5595 2.4129 2.2763 2.1493 2.0312 1.9213 1.8191 1.7243 1.6359 1.5541 1.478 1.4072 1.3415 1.2804 1.2235 1.1707 1.1218 1.0762 1.0339 0.99461 0.95791 0.9238 0.892 0.86229 0.83449 0.80843 0.78406 0.76099 0.73931 0.7189 0.69935 0.681 0.66339 0.6466 0.63064 0.61512 0.60025 0.58576 0.57193 0.55813 0.54502 0.53197 0.51917 0.50681 0.49435 0.4825 0.47061 0.45939 0.4486 0.43908 0.4314 0.42662 12.679 12.008 11.37 10.764 10.189 9.6427 9.1243 8.6324 8.1656 7.7228 7.3028 6.9046 6.5272 6.1696 5.8307 5.5098 5.206 4.9184 4.6463 4.3889 4.1456 3.9158 3.6989 3.4944 3.3019 3.1208 2.9506 2.7908 2.6411 2.5009 2.3699 2.2473 2.1328 2.0259 1.926 1.833 1.7462 1.6652 1.5899 1.5196 1.454 1.393 1.3361 1.283 1.2336 1.1877 1.1447 1.1048 1.0676 1.0328 1.0003 0.96991 0.94147 0.91476 0.8897 0.86615 0.84383 0.82279 0.80292 0.78386 0.76589 0.74865 0.73211 0.71642 0.70109 0.68638 0.67202 0.65826 0.64454 0.63145 0.61845 0.60565 0.5933 0.58083 0.56896 0.55706 0.54581 0.535 0.52545 0.51777 0.51294 10.017 9.4895 8.9886 8.5139 8.0651 7.6414 7.2416 6.8645 6.5086 6.1729 5.8561 5.557 5.2747 5.0082 4.7564 4.5186 4.2939 4.0816 3.8808 3.6911 3.5117 3.3423 3.1823 3.0314 2.8891 2.7552 2.6292 2.5108 2.3997 2.2955 2.1979 2.1064 2.0209 1.9408 1.8657 1.7956 1.73 1.6685 1.611 1.5572 1.5067 1.4595 1.4153 1.3737 1.3349 1.2984 1.2639 1.2317 1.2013 1.1726 1.1456 1.1201 1.0959 1.073 1.0512 1.0306 1.0108 0.99192 0.97395 0.95648 0.93987 0.92378 0.90814 0.89326 0.87844 0.86429 0.85017 0.8367 0.82312 0.8101 0.79715 0.78427 0.77189 0.75926 0.7473 0.73523 0.72383 0.7129 0.70315 0.69544 0.69044 10.11 9.5997 9.1122 8.6481 8.2078 7.791 7.3969 7.0246 6.6731 6.3412 6.0279 5.7321 5.4529 5.1892 4.9403 4.7051 4.4831 4.2734 4.0754 3.8884 3.7119 3.5454 3.3885 3.2409 3.102 2.9716 2.8492 2.7346 2.6274 2.5272 2.4338 2.3466 2.2653 2.1896 2.1188 2.0529 1.9916 1.9343 1.881 1.8312 1.7845 1.7409 1.7001 1.6617 1.6257 1.5919 1.5599 1.5298 1.5014 1.4744 1.4487 1.4244 1.4012 1.379 1.3577 1.3373 1.3176 1.2987 1.2804 1.2624 1.2452 1.2283 1.2117 1.1958 1.1798 1.1644 1.149 1.1342 1.1192 1.1047 1.0903 1.076 1.0622 1.0482 1.0349 1.0215 1.0089 0.99673 0.98598 0.97733 0.97168 11.254 10.749 10.267 9.8086 9.373 8.96 8.569 8.199 7.8492 7.5184 7.2056 6.9098 6.6299 6.3651 6.1144 5.877 5.652 5.4389 5.2367 5.045 4.8631 4.6906 4.527 4.372 4.2252 4.0861 3.9545 3.83 3.7122 3.6008 3.4956 3.3959 3.3016 3.2123 3.1275 3.0472 2.9709 2.8981 2.8289 2.763 2.6997 2.6393 2.5815 2.5259 2.4727 2.4215 2.3721 2.3246 2.2789 2.2347 2.1921 2.151 2.1112 2.0726 2.0352 1.9991 1.9641 1.9303 1.8974 1.8652 1.8342 1.8041 1.7747 1.7464 1.7187 1.6918 1.6654 1.6402 1.6152 1.5912 1.5678 1.5448 1.5228 1.5012 1.4806 1.4603 1.4415 1.4235 1.4075 1.3944 1.385
3 0.0041199 12.881 12.246 11.633 11.043 10.476 9.9318 9.4101 8.9107 8.4332 7.9773 7.5425 7.1282 6.7339 6.3589 6.0026 5.6644 5.3436 5.0396 4.7517 4.4793 4.2217 3.9785 3.749 3.5328 3.3294 3.1382 2.9586 2.7903 2.6326 2.4851 2.3473 2.2185 2.0984 1.9863 1.8817 1.7843 1.6935 1.6088 1.5302 1.4569 1.3885 1.325 1.2658 1.2106 1.1593 1.1116 1.0672 1.0259 0.98746 0.95152 0.91808 0.88687 0.85767 0.83032 0.80466 0.78062 0.75786 0.73645 0.71626 0.69691 0.67875 0.66129 0.64463 0.6288 0.61338 0.5986 0.58419 0.57043 0.55668 0.54364 0.53062 0.51788 0.50555 0.49311 0.4813 0.46943 0.45824 0.44747 0.43797 0.43031 0.42554 10.856 10.372 9.9028 9.4485 9.0095 8.5859 8.1776 7.7846 7.4068 7.0438 6.6955 6.3616 6.0418 5.7358 5.4433 5.1638 4.897 4.6426 4.4001 4.1693 3.9497 3.7411 3.5432 3.3557 3.1783 3.0107 2.8526 2.7036 2.5635 2.4319 2.3084 2.1926 2.0841 1.9825 1.8873 1.7984 1.7153 1.6376 1.5651 1.4974 1.434 1.3749 1.3198 1.2682 1.2202 1.1755 1.1336 1.0946 1.0582 1.0241 0.99222 0.96241 0.93445 0.90817 0.88349 0.86026 0.83823 0.81745 0.79778 0.77892 0.76113 0.74403 0.72762 0.71205 0.69682 0.6822 0.66792 0.65422 0.64056 0.62753 0.61456 0.60182 0.58949 0.57706 0.56522 0.55334 0.54212 0.53133 0.5218 0.51413 0.50931 8.6162 8.2427 7.8787 7.5257 7.1852 6.8578 6.5437 6.2428 5.9548 5.6794 5.4162 5.1649 4.9249 4.696 4.4777 4.2697 4.0714 3.8826 3.7028 3.5317 3.3689 3.2143 3.0675 2.9285 2.7968 2.6723 2.5548 2.4439 2.3396 2.2414 2.1491 2.0625 1.9811 1.9048 1.8332 1.766 1.7031 1.6439 1.5886 1.5366 1.4878 1.442 1.3991 1.3587 1.3209 1.2853 1.2516 1.2201 1.1904 1.1622 1.1357 1.1107 1.0868 1.0643 1.0428 1.0224 1.0029 0.98421 0.9664 0.9491 0.93265 0.91667 0.90115 0.88637 0.87163 0.85755 0.84351 0.8301 0.81656 0.80359 0.79067 0.77785 0.76549 0.75289 0.74096 0.72891 0.71753 0.70662 0.69689 0.68919 0.68421 8.7733 8.4138 8.0608 7.7164 7.3823 7.0598 6.7495 6.4515 6.1659 5.8925 5.631 5.381 5.1423 4.9145 4.6973 4.4903 4.293 4.1053 3.9266 3.7567 3.5954 3.4423 3.2973 3.1601 3.0306 2.9084 2.7933 2.6851 2.5836 2.4885 2.3995 2.3162 2.2383 2.1656 2.0975 2.0339 1.9746 1.9191 1.8673 1.8188 1.7733 1.7307 1.6908 1.6532 1.6179 1.5847 1.5532 1.5236 1.4956 1.4689 1.4436 1.4195 1.3965 1.3745 1.3535 1.3332 1.3137 1.2948 1.2766 1.2588 1.2417 1.2248 1.2084 1.1925 1.1766 1.1612 1.1459 1.131 1.1161 1.1017 1.0873 1.073 1.0592 1.0452 1.032 1.0186 1.006 0.99385 0.98311 0.97447 0.96884 9.9248 9.5707 9.2232 8.8838 8.554 8.2351 7.9276 7.6317 7.3476 7.075 6.8137 6.5635 6.324 6.0949 5.8757 5.6662 5.4659 5.2745 5.0915 4.9167 4.7499 4.5906 4.4388 4.2942 4.1565 4.0256 3.9012 3.783 3.6708 3.5644 3.4635 3.3676 3.2767 3.1903 3.1082 3.0301 2.9557 2.8847 2.817 2.7524 2.6903 2.6309 2.5739 2.5191 2.4665 2.4159 2.3671 2.32 2.2747 2.2308 2.1885 2.1477 2.1081 2.0697 2.0325 1.9966 1.9617 1.928 1.8952 1.8631 1.8322 1.8021 1.7728 1.7446 1.7169 1.6901 1.6637 1.6385 1.6135 1.5896 1.5662 1.5433 1.5213 1.4996 1.4791 1.4588 1.44 1.422 1.4061 1.393 1.3836
4 0.013905 8.7359 8.4686 8.1905 7.9067 7.6215 7.3372 7.0554 6.777 6.5027 6.2331 5.9686 5.7099 5.4573 5.2112 4.972 4.7398 4.515 4.2977 4.088 3.8861 3.692 3.5059 3.3278 3.1577 2.9956 2.8414 2.6951 2.5563 2.4251 2.3012 2.1843 2.0743 1.9707 1.8733 1.7817 1.6958 1.6152 1.5396 1.4689 1.4026 1.3405 1.2824 1.228 1.1771 1.1296 1.0852 1.0437 1.005 0.96879 0.93485 0.90318 0.87346 0.84561 0.81944 0.79481 0.77166 0.74968 0.729 0.70938 0.69059 0.67292 0.65584 0.63955 0.62403 0.6089 0.59436 0.58018 0.56659 0.55301 0.54012 0.5272 0.51461 0.50234 0.49 0.47827 0.46646 0.45535 0.44462 0.43518 0.42756 0.42282 7.7213 7.5025 7.2734 7.0389 6.8028 6.5673 6.3336 6.1025 5.8744 5.6497 5.4288 5.212 4.9996 4.7921 4.5895 4.3922 4.2004 4.0142 3.8337 3.6592 3.4907 3.3285 3.1726 3.0231 2.8801 2.7434 2.6133 2.4894 2.3719 2.2606 2.1552 2.0556 1.9617 1.8729 1.7893 1.7107 1.6367 1.5671 1.5018 1.4404 1.3827 1.3286 1.2779 1.2302 1.1857 1.144 1.1049 1.0683 1.0339 1.0017 0.97151 0.94312 0.91642 0.89126 0.86756 0.84517 0.82389 0.8038 0.78469 0.76635 0.74904 0.73231 0.71625 0.70099 0.68603 0.67165 0.65757 0.64405 0.63055 0.61768 0.6048 0.59221 0.57994 0.56759 0.55584 0.54402 0.53287 0.52212 0.51265 0.50502 0.50024 6.3088 6.1436 5.9646 5.7785 5.5904 5.4033 5.2185 5.0367 4.8582 4.6832 4.512 4.3447 4.1815 4.0225 3.8678 3.7175 3.5717 3.4305 3.2938 3.1617 3.0344 2.9119 2.7943 2.6815 2.5737 2.4708 2.3727 2.2794 2.1909 2.1071 2.0275 1.9524 1.8814 1.8142 1.7508 1.6911 1.6347 1.5815 1.5313 1.484 1.4394 1.3974 1.3578 1.3203 1.2851 1.2518 1.2202 1.1906 1.1624 1.1357 1.1106 1.0866 1.0638 1.0421 1.0214 1.0017 0.98282 0.96472 0.94737 0.93051 0.91446 0.89879 0.88357 0.86904 0.85453 0.84067 0.8268 0.81356 0.80014 0.78732 0.77448 0.76179 0.74949 0.73696 0.72511 0.71311 0.70181 0.69093 0.68126 0.6736 0.66865 6.6091 6.4528 6.2805 6.0987 5.913 5.7267 5.5417 5.3588 5.1787 5.0017 4.8281 4.6583 4.4924 4.3306 4.1731 4.0201 3.8716 3.7278 3.5887 3.4544 3.3251 3.2008 3.0817 2.9678 2.8591 2.7556 2.6572 2.564 2.4758 2.3926 2.3141 2.2401 2.1705 2.1049 2.0433 1.9854 1.931 1.8799 1.832 1.7868 1.7443 1.7042 1.6666 1.631 1.5975 1.5657 1.5356 1.5072 1.4802 1.4544 1.4299 1.4066 1.3842 1.3628 1.3422 1.3224 1.3032 1.2847 1.2668 1.2492 1.2324 1.2157 1.1994 1.1837 1.168 1.1527 1.1375 1.1228 1.1079 1.0936 1.0793 1.0651 1.0514 1.0374 1.0242 1.0108 0.9983 0.98621 0.97553 0.9669 0.9613 7.7806 7.6291 7.4615 7.2841 7.102 6.9186 6.7357 6.5542 6.3749 6.1981 6.0242 5.8535 5.6863 5.5226 5.3627 5.2067 5.0547 4.9068 4.763 4.6235 4.4883 4.3575 4.2313 4.1096 3.9924 3.8799 3.7719 3.6684 3.5693 3.4746 3.3838 3.2971 3.2143 3.135 3.0591 2.9866 2.917 2.8503 2.7864 2.725 2.6658 2.6089 2.5541 2.5013 2.4504 2.4013 2.3537 2.3079 2.2635 2.2205 2.179 2.1388 2.0999 2.062 2.0253 1.9897 1.9552 1.9218 1.8893 1.8574 1.8268 1.7969 1.7677 1.7397 1.7121 1.6854 1.6591 1.634 1.6091 1.5853 1.5619 1.5391 1.5171 1.4955 1.475 1.4548 1.436 1.4181 1.4022 1.3891 1.3797
5 0.032959 5.3366 5.2683 5.1735 5.0615 4.9404 4.8155 4.6892 4.5624 4.4354 4.3083 4.1814 4.0545 3.9278 3.8014 3.6754 3.5499 3.4253 3.3016 3.1794 3.0588 2.9402 2.824 2.7104 2.5997 2.492 2.3878 2.287 2.1898 2.0964 2.0067 1.9207 1.8386 1.7602 1.6853 1.6141 1.5464 1.482 1.4211 1.3633 1.3085 1.2568 1.2078 1.1615 1.118 1.0769 1.0382 1.0018 0.96759 0.9353 0.90492 0.87635 0.84933 0.82389 0.79988 0.77711 0.75557 0.73504 0.71567 0.69712 0.67932 0.66257 0.64622 0.63059 0.61565 0.60106 0.58699 0.57322 0.55996 0.5467 0.53409 0.52138 0.50905 0.49691 0.48475 0.47317 0.46149 0.45051 0.43987 0.43055 0.423 0.41833 5.0742 5.0018 4.9048 4.7925 4.673 4.5512 4.4296 4.309 4.1893 4.0707 3.9532 3.8366 3.7208 3.6058 3.4916 3.3782 3.2657 3.1544 3.0443 2.9358 2.8291 2.7243 2.6219 2.522 2.4247 2.3304 2.239 2.1509 2.066 1.9843 1.9059 1.8308 1.759 1.6902 1.6247 1.5624 1.5029 1.4465 1.3929 1.342 1.2937 1.248 1.2047 1.1639 1.1253 1.0888 1.0545 1.0221 0.99142 0.9625 0.93524 0.9094 0.88496 0.86186 0.83992 0.81905 0.79915 0.78032 0.76224 0.74486 0.72843 0.7124 0.69698 0.68227 0.66782 0.6539 0.64022 0.62703 0.61384 0.60124 0.58856 0.57622 0.56409 0.55191 0.54031 0.5286 0.51759 0.50693 0.49757 0.49002 0.48531 4.5622 4.4953 4.4008 4.2898 4.172 4.0534 3.9367 3.8229 3.7119 3.6038 3.4983 3.3953 3.2944 3.1956 3.0987 3.0035 2.9101 2.8184 2.7285 2.6406 2.5546 2.4709 2.3894 2.3104 2.2338 2.1599 2.0885 2.0199 1.9541 1.8908 1.8302 1.7723 1.7169 1.6639 1.6135 1.5654 1.5195 1.4757 1.4341 1.3945 1.3569 1.3211 1.287 1.2546 1.2239 1.1945 1.1667 1.1402 1.1149 1.0908 1.0679 1.0459 1.0249 1.0049 0.98564 0.96717 0.9494 0.93232 0.91584 0.89976 0.88446 0.86935 0.8547 0.84063 0.82658 0.81309 0.79956 0.78662 0.77346 0.76091 0.74822 0.73577 0.72359 0.71121 0.69951 0.6876 0.67644 0.66563 0.65607 0.64847 0.6436 5.0528 4.9895 4.8967 4.7858 4.6663 4.5445 4.4236 4.3047 4.1879 4.0733 3.9611 3.851 3.743 3.6368 3.5323 3.4297 3.3288 3.2298 3.1328 3.0379 2.9453 2.8552 2.7677 2.683 2.6012 2.5225 2.4467 2.3742 2.3049 2.2386 2.1754 2.1153 2.058 2.0035 1.9518 1.9028 1.8563 1.8122 1.7704 1.7306 1.693 1.6572 1.6233 1.5912 1.5605 1.5314 1.5037 1.4773 1.452 1.4279 1.4049 1.3827 1.3614 1.341 1.3213 1.3022 1.2837 1.2659 1.2485 1.2314 1.2151 1.1987 1.1828 1.1674 1.1519 1.137 1.122 1.1075 1.0927 1.0787 1.0644 1.0504 1.0367 1.0229 1.0098 0.99652 0.9841 0.97206 0.96147 0.95289 0.94736 6.2607 6.201 6.1118 6.0038 5.8866 5.7665 5.6464 5.5277 5.4105 5.2951 5.1815 5.0696 4.9592 4.8501 4.7424 4.6359 4.5306 4.4267 4.3242 4.2233 4.1242 4.0269 3.9316 3.8386 3.7478 3.6595 3.5736 3.4903 3.4096 3.3313 3.2556 3.1823 3.1115 3.043 2.9768 2.9128 2.8509 2.791 2.7331 2.677 2.6226 2.5699 2.5187 2.4692 2.4212 2.3745 2.3293 2.2854 2.2428 2.2014 2.1613 2.1223 2.0844 2.0475 2.0116 1.9767 1.9429 1.91 1.878 1.8466 1.8164 1.7868 1.758 1.7302 1.7028 1.6764 1.6503 1.6254 1.6006 1.5769 1.5536 1.531 1.5091 1.4876 1.4672 1.447 1.4284 1.4105 1.3947 1.3816 1.3723
6 0.064373 3.3921 3.3936 3.3704 3.3277 3.272 3.2095 3.1441 3.076 3.0063 2.9357 2.8653 2.7953 2.7254 2.656 2.5873 2.5195 2.4524 2.3859 2.3201 2.2551 2.1908 2.1274 2.0647 2.0031 1.9424 1.8826 1.8238 1.7662 1.7097 1.6545 1.6006 1.548 1.4968 1.447 1.3988 1.3521 1.3069 1.2633 1.2213 1.1809 1.142 1.1047 1.0691 1.035 1.0025 0.97159 0.94208 0.91393 0.88714 0.86172 0.83747 0.81434 0.79234 0.77141 0.75135 0.73218 0.71384 0.69635 0.67946 0.66319 0.64772 0.63249 0.61794 0.60383 0.59005 0.57673 0.56359 0.55082 0.5381 0.5259 0.5135 0.50159 0.48967 0.47782 0.46645 0.45496 0.4442 0.4337 0.42456 0.41713 0.4126 3.4508 3.439 3.4032 3.3487 3.2822 3.21 ...
% Aprime Choice
tb_az_ap = ff_summ_nd_array("MEAN(AP(A,Z) - AP(A,Z|unemp))", ap_VFI_unemp_drop, true, ["mean"], 4, 1, cl_mp_datasetdesc, ar_permute);
xxx MEAN(AP(A,Z) - AP(A,Z|unemp)) xxxxxxxxxxxxxxxxxxxxxxxxxxx
group savings mean_eta_1 mean_eta_2 mean_eta_3 mean_eta_4 mean_eta_5 mean_eta_6 mean_eta_7 mean_eta_8 mean_eta_9 mean_eta_10 mean_eta_11 mean_eta_12 mean_eta_13 mean_eta_14 mean_eta_15 mean_eta_16 mean_eta_17 mean_eta_18 mean_eta_19 mean_eta_20 mean_eta_21 mean_eta_22 mean_eta_23 mean_eta_24 mean_eta_25 mean_eta_26 mean_eta_27 mean_eta_28 mean_eta_29 mean_eta_30 mean_eta_31 mean_eta_32 mean_eta_33 mean_eta_34 mean_eta_35 mean_eta_36 mean_eta_37 mean_eta_38 mean_eta_39 mean_eta_40 mean_eta_41 mean_eta_42 mean_eta_43 mean_eta_44 mean_eta_45 mean_eta_46 mean_eta_47 mean_eta_48 mean_eta_49 mean_eta_50 mean_eta_51 mean_eta_52 mean_eta_53 mean_eta_54 mean_eta_55 mean_eta_56 mean_eta_57 mean_eta_58 mean_eta_59 mean_eta_60 mean_eta_61 mean_eta_62 mean_eta_63 mean_eta_64 mean_eta_65 mean_eta_66 mean_eta_67 mean_eta_68 mean_eta_69 mean_eta_70 mean_eta_71 mean_eta_72 mean_eta_73 mean_eta_74 mean_eta_75 mean_eta_76 mean_eta_77 mean_eta_78 mean_eta_79 mean_eta_80 mean_eta_81 mean_eta_82 mean_eta_83 mean_eta_84 mean_eta_85 mean_eta_86 mean_eta_87 mean_eta_88 mean_eta_89 mean_eta_90 mean_eta_91 mean_eta_92 mean_eta_93 mean_eta_94 mean_eta_95 mean_eta_96 mean_eta_97 mean_eta_98 mean_eta_99 mean_eta_100 mean_eta_101 mean_eta_102 mean_eta_103 mean_eta_104 mean_eta_105 mean_eta_106 mean_eta_107 mean_eta_108 mean_eta_109 mean_eta_110 mean_eta_111 mean_eta_112 mean_eta_113 mean_eta_114 mean_eta_115 mean_eta_116 mean_eta_117 mean_eta_118 mean_eta_119 mean_eta_120 mean_eta_121 mean_eta_122 mean_eta_123 mean_eta_124 mean_eta_125 mean_eta_126 mean_eta_127 mean_eta_128 mean_eta_129 mean_eta_130 mean_eta_131 mean_eta_132 mean_eta_133 mean_eta_134 mean_eta_135 mean_eta_136 mean_eta_137 mean_eta_138 mean_eta_139 mean_eta_140 mean_eta_141 mean_eta_142 mean_eta_143 mean_eta_144 mean_eta_145 mean_eta_146 mean_eta_147 mean_eta_148 mean_eta_149 mean_eta_150 mean_eta_151 mean_eta_152 mean_eta_153 mean_eta_154 mean_eta_155 mean_eta_156 mean_eta_157 mean_eta_158 mean_eta_159 mean_eta_160 mean_eta_161 mean_eta_162 mean_eta_163 mean_eta_164 mean_eta_165 mean_eta_166 mean_eta_167 mean_eta_168 mean_eta_169 mean_eta_170 mean_eta_171 mean_eta_172 mean_eta_173 mean_eta_174 mean_eta_175 mean_eta_176 mean_eta_177 mean_eta_178 mean_eta_179 mean_eta_180 mean_eta_181 mean_eta_182 mean_eta_183 mean_eta_184 mean_eta_185 mean_eta_186 mean_eta_187 mean_eta_188 mean_eta_189 mean_eta_190 mean_eta_191 mean_eta_192 mean_eta_193 mean_eta_194 mean_eta_195 mean_eta_196 mean_eta_197 mean_eta_198 mean_eta_199 mean_eta_200 mean_eta_201 mean_eta_202 mean_eta_203 mean_eta_204 mean_eta_205 mean_eta_206 mean_eta_207 mean_eta_208 mean_eta_209 mean_eta_210 mean_eta_211 mean_eta_212 mean_eta_213 mean_eta_214 mean_eta_215 mean_eta_216 mean_eta_217 mean_eta_218 mean_eta_219 mean_eta_220 mean_eta_221 mean_eta_222 mean_eta_223 mean_eta_224 mean_eta_225 mean_eta_226 mean_eta_227 mean_eta_228 mean_eta_229 mean_eta_230 mean_eta_231 mean_eta_232 mean_eta_233 mean_eta_234 mean_eta_235 mean_eta_236 mean_eta_237 mean_eta_238 mean_eta_239 mean_eta_240 mean_eta_241 mean_eta_242 mean_eta_243 mean_eta_244 mean_eta_245 mean_eta_246 mean_eta_247 mean_eta_248 mean_eta_249 mean_eta_250 mean_eta_251 mean_eta_252 mean_eta_253 mean_eta_254 mean_eta_255 mean_eta_256 mean_eta_257 mean_eta_258 mean_eta_259 mean_eta_260 mean_eta_261 mean_eta_262 mean_eta_263 mean_eta_264 mean_eta_265 mean_eta_266 mean_eta_267 mean_eta_268 mean_eta_269 mean_eta_270 mean_eta_271 mean_eta_272 mean_eta_273 mean_eta_274 mean_eta_275 mean_eta_276 mean_eta_277 mean_eta_278 mean_eta_279 mean_eta_280 mean_eta_281 mean_eta_282 mean_eta_283 mean_eta_284 mean_eta_285 mean_eta_286 mean_eta_287 mean_eta_288 mean_eta_289 mean_eta_290 mean_eta_291 mean_eta_292 mean_eta_293 mean_eta_294 mean_eta_295 mean_eta_296 mean_eta_297 mean_eta_298 mean_eta_299 mean_eta_300 mean_eta_301 mean_eta_302 mean_eta_303 mean_eta_304 mean_eta_305 mean_eta_306 mean_eta_307 mean_eta_308 mean_eta_309 mean_eta_310 mean_eta_311 mean_eta_312 mean_eta_313 mean_eta_314 mean_eta_315 mean_eta_316 mean_eta_317 mean_eta_318 mean_eta_319 mean_eta_320 mean_eta_321 mean_eta_322 mean_eta_323 mean_eta_324 mean_eta_325 mean_eta_326 mean_eta_327 mean_eta_328 mean_eta_329 mean_eta_330 mean_eta_331 mean_eta_332 mean_eta_333 mean_eta_334 mean_eta_335 mean_eta_336 mean_eta_337 mean_eta_338 mean_eta_339 mean_eta_340 mean_eta_341 mean_eta_342 mean_eta_343 mean_eta_344 mean_eta_345 mean_eta_346 mean_eta_347 mean_eta_348 mean_eta_349 mean_eta_350 mean_eta_351 mean_eta_352 mean_eta_353 mean_eta_354 mean_eta_355 mean_eta_356 mean_eta_357 mean_eta_358 mean_eta_359 mean_eta_360 mean_eta_361 mean_eta_362 mean_eta_363 mean_eta_364 mean_eta_365 mean_eta_366 mean_eta_367 mean_eta_368 mean_eta_369 mean_eta_370 mean_eta_371 mean_eta_372 mean_eta_373 mean_eta_374 mean_eta_375 mean_eta_376 mean_eta_377 mean_eta_378 mean_eta_379 mean_eta_380 mean_eta_381 mean_eta_382 mean_eta_383 mean_eta_384 mean_eta_385 mean_eta_386 mean_eta_387 mean_eta_388 mean_eta_389 mean_eta_390 mean_eta_391 mean_eta_392 mean_eta_393 mean_eta_394 mean_eta_395 mean_eta_396 mean_eta_397 mean_eta_398 mean_eta_399 mean_eta_400 mean_eta_401 mean_eta_402 mean_eta_403 mean_eta_404 mean_eta_405
_____ __________ __________ __________ __________ __________ __________ __________ __________ __________ __________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________
1 0 0 0 0 0 0 0 6.6403e-08 2.2567e-07 4.664e-07 9.0064e-07 1.2684e-06 1.7382e-06 2.0598e-06 2.2879e-06 2.4594e-06 2.4819e-06 4.5488e-06 1.5081e-05 3.8977e-05 0.00010372 0.0002093 0.00038205 0.00063964 0.0010015 0.0014827 0.0020775 0.0028441 0.0037578 0.0049124 0.0062962 0.007851 0.0097102 0.011778 0.014161 0.016825 0.019961 0.023417 0.027364 0.031848 0.036722 0.042367 0.048555 0.055572 0.063352 0.072141 0.081867 0.092636 0.10471 0.11795 0.1327 0.14899 0.16697 0.18707 0.20923 0.23374 0.26091 0.29084 0.32396 0.36008 0.40008 0.44381 0.4916 0.5439 0.60075 0.66247 0.72923 0.80154 0.87921 0.96325 1.0537 1.1509 1.2559 1.3685 1.4902 1.6209 1.7621 1.9146 2.08 2.2609 2.4602 2.6794 0 0 0 0 0 0 6.6403e-08 2.2567e-07 4.664e-07 9.0064e-07 1.2684e-06 1.7382e-06 2.0598e-06 2.2879e-06 2.4594e-06 2.4819e-06 4.5488e-06 1.5081e-05 3.8977e-05 0.00010372 0.0002093 0.00038205 0.00063964 0.0010015 0.0014852 0.0020859 0.0028776 0.0038299 0.0050167 0.0064155 0.0080129 0.0098691 0.012061 0.014441 0.017292 0.02054 0.024122 0.028293 0.032883 0.038063 0.043893 0.050385 0.057747 0.065838 0.075057 0.085139 0.096423 0.1089 0.12267 0.13801 0.15499 0.17376 0.19448 0.21748 0.24289 0.27088 0.30161 0.33544 0.37243 0.41309 0.45747 0.5059 0.55858 0.61582 0.67775 0.74489 0.81728 0.89515 0.97928 1.0699 1.1673 1.2724 1.3851 1.5067 1.6374 1.7785 1.9309 2.0962 2.277 2.4757 2.6944 0.01654 0.016725 0.016809 0.016823 0.016797 0.01675 0.016691 0.016619 0.016541 0.016458 0.016364 0.016258 0.016158 0.016056 0.015937 0.015818 0.015708 0.015612 0.01555 0.015507 0.015536 0.015679 0.015912 0.016288 0.016796 0.017521 0.018457 0.019648 0.021127 0.022881 0.024888 0.027257 0.029979 0.033095 0.036742 0.040849 0.045462 0.05074 0.056653 0.063235 0.07064 0.078853 0.087977 0.097984 0.10916 0.12138 0.13488 0.1498 0.16605 0.18394 0.20365 0.22504 0.2485 0.27419 0.30208 0.33262 0.36575 0.40178 0.44085 0.48337 0.5294 0.57912 0.633 0.69113 0.75387 0.82166 0.89454 0.97315 1.0576 1.1487 1.2464 1.3516 1.4646 1.5859 1.7167 1.8572 2.0093 2.1735 2.3532 2.5498 2.766 0.18124 0.18292 0.18458 0.18627 0.18799 0.18974 0.19152 0.19339 0.1953 0.19728 0.19932 0.20143 0.20362 0.20589 0.20823 0.21064 0.21315 0.21575 0.2185 0.22136 0.22438 0.22758 0.23099 0.23465 0.23859 0.24274 0.24726 0.25222 0.25774 0.2637 0.27002 0.27671 0.28385 0.29161 0.30002 0.30894 0.31831 0.32818 0.33879 0.34999 0.36213 0.37511 0.38904 0.40384 0.41959 0.43637 0.45426 0.47357 0.4939 0.51576 0.53905 0.56387 0.59082 0.61978 0.65042 0.68342 0.71912 0.75783 0.799 0.84308 0.89117 0.94251 0.99792 1.0569 1.1208 1.1894 1.2628 1.3418 1.4266 1.5175 1.6148 1.7197 1.8314 1.9517 2.0806 2.2192 2.3682 2.529 2.7032 2.8929 3.0994 0.94573 0.95231 0.95905 0.96586 0.97287 0.97997 0.98703 0.99427 1.0018 1.0096 1.0172 1.0252 1.0332 1.0413 1.0493 1.0577 1.0661 1.0748 1.0836 1.0927 1.102 1.1116 1.1214 1.1315 1.1418 1.1528 1.1638 1.1754 1.1874 1.1997 1.2127 1.226 1.2402 1.2546 1.2699 1.286 1.3027 1.3201 1.3384 1.3571 1.3768 1.3976 1.4196 1.4426 1.4665 1.4918 1.5183 1.5464 1.5759 1.6069 1.6397 1.6743 1.7105 1.7491 1.79 1.8335 1.8789 1.9271 1.9784 2.0328 2.0903 2.1513 2.2166 2.2862 2.3594 2.4369 2.5196 2.6074 2.7011 2.8016 2.908 3.0208 3.1415 3.2707 3.4061 3.5534 3.71 3.8779 4.059 4.2518 4.4651
2 0.00051498 0 0 0 3.2355e-07 8.8303e-07 1.3402e-06 1.6853e-06 1.9895e-06 2.2445e-06 2.3681e-06 2.4704e-06 2.4819e-06 2.4819e-06 2.4819e-06 2.5464e-06 2.9174e-06 6.5411e-06 2.1961e-05 4.6937e-05 0.00011661 0.00022334 0.00040179 0.00066115 0.0010268 0.0015118 0.002113 0.0028843 0.0038034 0.004964 0.0063532 0.0079134 0.0097768 0.011852 0.014241 0.016908 0.020051 0.023508 0.027466 0.031952 0.03683 0.042479 0.048667 0.055694 0.063474 0.072269 0.081997 0.092773 0.10485 0.11809 0.13285 0.14914 0.16712 0.18722 0.20938 0.2339 0.26108 0.29102 0.32414 0.36026 0.40026 0.444 0.4918 0.54409 0.60095 0.66266 0.72943 0.80175 0.87941 0.96344 1.0539 1.1511 1.2561 1.3687 1.4904 1.6211 1.7623 1.9148 2.0802 2.261 2.4604 2.6795 0 0 0 3.2355e-07 8.8303e-07 1.3402e-06 1.6853e-06 1.9895e-06 2.2445e-06 2.3681e-06 2.4704e-06 2.4819e-06 2.4819e-06 2.4819e-06 2.5464e-06 2.9174e-06 6.5411e-06 2.1961e-05 4.6937e-05 0.00011661 0.00022334 0.00040179 0.00066115 0.0010268 0.0015143 0.0021214 0.0029182 0.0038763 0.0050684 0.0064724 0.0080754 0.0099367 0.012135 0.014521 0.017379 0.020631 0.024217 0.028395 0.03299 0.038176 0.044006 0.050502 0.057871 0.065966 0.075187 0.085275 0.096567 0.10904 0.12282 0.13817 0.15515 0.17392 0.19464 0.21765 0.24306 0.27106 0.30179 0.33563 0.37262 0.41328 0.45767 0.5061 0.55878 0.61602 0.67795 0.74509 0.81748 0.89535 0.97948 1.07 1.1675 1.2726 1.3853 1.5069 1.6376 1.7787 1.9311 2.0964 2.2771 2.4759 2.6946 0.01664 0.016826 0.016909 0.016924 0.016898 0.016852 0.016795 0.016724 0.016647 0.016567 0.016475 0.016369 0.016271 0.016169 0.016053 0.015935 0.015828 0.015739 0.015676 0.015637 0.015669 0.015815 0.016046 0.016426 0.016936 0.017667 0.018612 0.01981 0.021293 0.023049 0.02506 0.027436 0.030167 0.033286 0.036937 0.041054 0.045665 0.050953 0.056868 0.063456 0.07086 0.079074 0.088203 0.098213 0.10939 0.12162 0.13511 0.15003 0.16629 0.18418 0.20389 0.22527 0.24875 0.27442 0.30232 0.33286 0.366 0.40202 0.4411 0.48361 0.52964 0.57936 0.63324 0.69137 0.75411 0.82189 0.89477 0.97338 1.0578 1.1489 1.2466 1.3518 1.4648 1.5861 1.7169 1.8574 2.0095 2.1737 2.3534 2.55 2.7662 0.18127 0.18295 0.18461 0.18629 0.18801 0.18976 0.19155 0.19341 0.19533 0.19731 0.19935 0.20146 0.20365 0.20592 0.20826 0.21067 0.21318 0.21579 0.21854 0.2214 0.22442 0.22762 0.23104 0.2347 0.23865 0.24281 0.24734 0.2523 0.25783 0.26379 0.27012 0.27682 0.28396 0.29171 0.30013 0.30907 0.31845 0.32832 0.33892 0.35013 0.36227 0.37527 0.3892 0.40399 0.41975 0.43654 0.45443 0.47373 0.49408 0.51594 0.53923 0.56406 0.591 0.61996 0.65061 0.6836 0.71931 0.75801 0.79917 0.84326 0.89135 0.94268 0.99809 1.057 1.121 1.1896 1.263 1.3419 1.4268 1.5177 1.615 1.7199 1.8315 1.9519 2.0808 2.2194 2.3683 2.5291 2.7033 2.893 3.0995 0.94574 0.95231 0.95906 0.96587 0.97288 0.97997 0.98704 0.99428 1.0018 1.0096 1.0173 1.0252 1.0332 1.0413 1.0493 1.0577 1.0661 1.0748 1.0836 1.0928 1.102 1.1116 1.1215 1.1315 1.1419 1.1529 1.1638 1.1755 1.1875 1.1998 1.2128 1.2261 1.2403 1.2547 1.27 1.286 1.3028 1.3202 1.3385 1.3572 1.3769 1.3977 1.4198 1.4427 1.4666 1.4919 1.5184 1.5465 1.576 1.607 1.6399 1.6744 1.7106 1.7492 1.7901 1.8336 1.879 1.9272 1.9785 2.0329 2.0904 2.1514 2.2167 2.2863 2.3595 2.437 2.5197 2.6075 2.7012 2.8017 2.9081 3.0209 3.1416 3.2708 3.4062 3.5535 3.7101 3.878 4.0591 4.2519 4.4651
3 0.0041199 1.1212e-05 3.4693e-05 5.9476e-05 6.9903e-05 7.1182e-05 6.7854e-05 6.2365e-05 5.639e-05 5.0658e-05 4.8544e-05 4.7987e-05 4.8366e-05 4.9401e-05 5.1492e-05 5.6748e-05 6.7169e-05 8.5474e-05 0.00010622 0.0001471 0.00022369 0.00035615 0.00056002 0.00083849 0.0012326 0.001745 0.0023868 0.0031973 0.0041477 0.0053605 0.006787 0.0083805 0.01027 0.012399 0.014816 0.017505 0.020702 0.024171 0.028174 0.032667 0.037595 0.043275 0.049484 0.05654 0.064359 0.073171 0.082903 0.093741 0.10582 0.11911 0.1339 0.15019 0.16822 0.18832 0.2105 0.23509 0.26226 0.29224 0.32539 0.36155 0.40158 0.44534 0.49314 0.54547 0.60235 0.66406 0.73088 0.80316 0.8808 0.96482 1.0553 1.1524 1.2575 1.37 1.4916 1.6224 1.7635 1.916 2.0813 2.2621 2.4614 2.6804 1.1212e-05 3.4693e-05 5.9476e-05 6.9903e-05 7.1182e-05 6.7854e-05 6.2365e-05 5.639e-05 5.0658e-05 4.8544e-05 4.7987e-05 4.8366e-05 4.9401e-05 5.1492e-05 5.6748e-05 6.7169e-05 8.5474e-05 0.00010622 0.0001471 0.00022369 0.00035615 0.00056002 0.00083849 0.0012326 0.0017488 0.0023964 0.0032363 0.0042266 0.005469 0.0069115 0.0085411 0.010443 0.012683 0.015109 0.017999 0.021288 0.024914 0.029114 0.033737 0.03897 0.04482 0.051364 0.058744 0.066906 0.076117 0.086228 0.097572 0.11005 0.12387 0.13924 0.15626 0.17506 0.1958 0.21881 0.24428 0.27229 0.30305 0.33691 0.37394 0.41463 0.45906 0.50749 0.56016 0.61746 0.67937 0.74651 0.81886 0.89675 0.98087 1.0714 1.1688 1.2739 1.3866 1.5081 1.6389 1.7799 1.9323 2.0975 2.2782 2.4768 2.6954 0.017351 0.017561 0.017674 0.0177 0.01768 0.017633 0.017572 0.017498 0.017423 0.017351 0.017266 0.017179 0.017094 0.017001 0.016903 0.016812 0.016728 0.016663 0.01662 0.016584 0.016647 0.016795 0.017044 0.017431 0.017968 0.018735 0.019736 0.020976 0.022496 0.024265 0.026305 0.028715 0.031504 0.034668 0.038344 0.042507 0.047133 0.052452 0.058376 0.065006 0.072427 0.080659 0.089778 0.099846 0.11101 0.12324 0.13676 0.15169 0.16795 0.18585 0.20555 0.22696 0.25043 0.27609 0.30402 0.33455 0.36768 0.40373 0.44281 0.48527 0.53136 0.581 0.63489 0.69304 0.75575 0.82352 0.89638 0.97498 1.0594 1.1505 1.2481 1.3533 1.4663 1.5875 1.7183 1.8588 2.0108 2.175 2.3546 2.5511 2.7672 0.18149 0.18317 0.18485 0.18653 0.18825 0.19 0.1918 0.19366 0.19558 0.19756 0.1996 0.20172 0.2039 0.20618 0.20853 0.21095 0.21347 0.21608 0.21883 0.22171 0.22476 0.22799 0.23141 0.23511 0.23908 0.24331 0.24789 0.25292 0.25848 0.26447 0.27085 0.27763 0.2848 0.2925 0.30095 0.31 0.31941 0.32932 0.33987 0.35115 0.36331 0.37638 0.39032 0.40509 0.42089 0.4377 0.45564 0.47495 0.49531 0.51721 0.5405 0.56538 0.59229 0.62125 0.6519 0.68487 0.72061 0.75928 0.80043 0.84453 0.8926 0.94391 0.99929 1.0582 1.1222 1.1908 1.2641 1.3431 1.4279 1.5188 1.6161 1.7209 1.8326 1.9529 2.0818 2.2203 2.3693 2.53 2.7041 2.8938 3.1001 0.9458 0.95238 0.95914 0.96599 0.97299 0.98008 0.98714 0.99441 1.0019 1.0097 1.0174 1.0253 1.0333 1.0414 1.0495 1.0579 1.0662 1.0749 1.0837 1.0929 1.1022 1.1118 1.1217 1.1318 1.1422 1.1532 1.1642 1.1759 1.1879 1.2003 1.2133 1.2266 1.2408 1.2553 1.2706 1.2867 1.3034 1.3209 1.3392 1.3579 1.3777 1.3985 1.4205 1.4435 1.4674 1.4926 1.5192 1.5473 1.5768 1.6078 1.6407 1.6752 1.7114 1.75 1.7909 1.8343 1.8798 1.928 1.9792 2.0336 2.0912 2.1522 2.2174 2.287 2.3602 2.4377 2.5204 2.6082 2.7019 2.8024 2.9087 3.0215 3.1422 3.2713 3.4068 3.5541 3.7106 3.8785 4.0596 4.2523 4.4655
4 0.013905 0.0011498 0.0012034 0.0012469 0.001273 0.0012824 0.0012822 0.0012783 0.0012731 0.0012679 0.0012626 0.0012555 0.0012467 0.0012367 0.0012268 0.0012195 0.0012177 0.0012252 0.0012434 0.0012793 0.0013776 0.001537 0.0017834 0.0021207 0.0025569 0.0030997 0.003805 0.0046663 0.0056945 0.0069529 0.008425 0.010104 0.012014 0.014224 0.016673 0.019472 0.022699 0.026192 0.030294 0.034796 0.039792 0.04552 0.051765 0.05888 0.066799 0.075636 0.085457 0.096404 0.10849 0.12182 0.13669 0.15306 0.17117 0.19131 0.2136 0.23832 0.26551 0.29558 0.32875 0.36509 0.40517 0.44903 0.49691 0.54925 0.6061 0.66791 0.73473 0.80692 0.88459 0.96858 1.0589 1.1562 1.261 1.3736 1.4951 1.6258 1.7668 1.9191 2.0844 2.265 2.464 2.6828 0.0011498 0.0012034 0.0012469 0.001273 0.0012824 0.0012822 0.0012783 0.0012731 0.0012679 0.0012626 0.0012555 0.0012467 0.0012367 0.0012268 0.0012195 0.0012177 0.0012252 0.0012434 0.0012793 0.0013776 0.001537 0.0017834 0.0021207 0.0025573 0.0031081 0.0038246 0.0047204 0.0057965 0.0070678 0.0085798 0.010261 0.01225 0.014509 0.017026 0.020014 0.023307 0.027009 0.031281 0.035933 0.041242 0.04713 0.053787 0.061143 0.069475 0.078689 0.088885 0.1003 0.11285 0.12668 0.14216 0.15924 0.17812 0.19897 0.22206 0.24762 0.27563 0.30647 0.34041 0.3776 0.41832 0.46287 0.51134 0.56401 0.62126 0.68324 0.75032 0.82258 0.90055 0.98462 1.0751 1.1725 1.2774 1.3901 1.5116 1.6423 1.7832 1.9354 2.1005 2.2811 2.4795 2.6978 0.020564 0.020835 0.020979 0.021028 0.021014 0.020966 0.0209 0.020828 0.020751 0.020661 0.020566 0.020479 0.020384 0.020287 0.020199 0.02012 0.020065 0.020037 0.019999 0.020036 0.020159 0.020374 0.020725 0.021166 0.021794 0.022627 0.023673 0.024896 0.026396 0.028176 0.030295 0.032737 0.035569 0.038827 0.042574 0.046798 0.051468 0.056839 0.06277 0.069442 0.076908 0.085159 0.094257 0.10445 0.11556 0.12783 0.14142 0.15632 0.17256 0.19053 0.2102 0.23163 0.25514 0.28079 0.30877 0.33923 0.37235 0.40839 0.44752 0.48994 0.53603 0.58561 0.63952 0.69763 0.7603 0.828 0.90079 0.97943 1.0637 1.1548 1.2524 1.3575 1.4704 1.5916 1.7223 1.8627 2.0145 2.1785 2.358 2.5542 2.7699 0.18311 0.18478 0.18647 0.18819 0.18993 0.1917 0.19352 0.19538 0.19731 0.1993 0.20134 0.20347 0.20565 0.20791 0.21021 0.21262 0.2151 0.21771 0.22046 0.2234 0.22648 0.22976 0.23326 0.237 0.24097 0.24531 0.25004 0.25521 0.2608 0.26683 0.27327 0.28017 0.28744 0.29505 0.30348 0.31268 0.32217 0.3323 0.34275 0.35408 0.36622 0.37942 0.39343 0.4081 0.424 0.4409 0.4589 0.47823 0.49862 0.52068 0.54395 0.56883 0.59581 0.62474 0.65541 0.68832 0.7241 0.76272 0.80385 0.84796 0.896 0.94733 1.0026 1.0615 1.1255 1.194 1.2672 1.3462 1.431 1.5218 1.6191 1.7238 1.8354 1.9556 2.0844 2.2229 2.3717 2.5322 2.7063 2.8957 3.1018 0.94704 0.95365 0.96043 0.96728 0.97431 0.9814 0.98852 0.99579 1.0034 1.0111 1.0187 1.0267 1.0347 1.0427 1.0508 1.0591 1.0675 1.0762 1.085 1.0943 1.1036 1.1131 1.1231 1.1332 1.1437 1.1547 1.1657 1.1776 1.1896 1.202 1.215 1.2285 1.2427 1.2572 1.2726 1.2887 1.3054 1.323 1.3412 1.36 1.3798 1.4006 1.4225 1.4456 1.4694 1.4947 1.5213 1.5494 1.5789 1.6099 1.6428 1.6773 1.7135 1.752 1.7931 1.8364 1.8818 1.93 1.9813 2.0356 2.0932 2.1543 2.2194 2.2887 2.3621 2.4395 2.5222 2.6101 2.7036 2.8042 2.9105 3.0231 3.1439 3.2729 3.4083 3.5556 3.712 3.88 4.0609 4.2535 4.4667
5 0.032959 0.0039015 0.0041225 0.0043159 0.0044467 0.0045114 0.0045318 0.0045237 0.0045085 0.0044945 0.0044683 0.0044429 0.0044193 0.0044007 0.0043873 0.0043809 0.004384 0.0044025 0.004454 0.0045337 0.0046508 0.0048639 0.0051308 0.0055469 0.0060418 0.0066752 0.0074588 0.0083848 0.0095237 0.010867 0.012352 0.014104 0.016085 0.018316 0.020828 0.023745 0.02696 0.030626 0.034728 0.039238 0.0444 0.050107 0.056498 0.063709 0.071714 0.08068 0.090568 0.10161 0.11369 0.12718 0.14216 0.15868 0.17696 0.19717 0.21961 0.24451 0.27186 0.3021 0.33533 0.37199 0.41217 0.45612 0.50418 0.5566 0.61353 0.67531 0.74212 0.81431 0.89192 0.97587 1.066 1.1633 1.2679 1.3806 1.5019 1.6324 1.7731 1.9251 2.0903 2.2707 2.4691 2.6874 0.0039015 0.0041225 0.0043159 0.0044467 0.0045114 0.0045318 0.0045237 0.0045085 0.0044945 0.0044683 0.0044429 0.0044193 0.0044007 0.0043873 0.0043809 0.004384 0.0044025 0.004454 0.0045337 0.0046508 0.0048639 0.0051308 0.0055472 0.0060502 0.0066926 0.007507 0.008476 0.0096387 0.011005 0.012522 0.01429 0.016396 0.018631 0.021329 0.024352 0.027684 0.031564 0.035795 0.040567 0.045961 0.051892 0.058653 0.066177 0.074577 0.083907 0.094209 0.10566 0.11828 0.13235 0.14788 0.1651 0.18415 0.20513 0.2284 0.25399 0.2822 0.31323 0.3473 0.38471 0.42552 0.47016 0.51877 0.57151 0.62876 0.69066 0.75771 0.83001 0.90787 0.99193 1.0823 1.1795 1.2844 1.397 1.5183 1.6489 1.7896 1.9415 2.1065 2.2866 2.4846 2.7024 0.027458 0.027996 0.028376 0.028599 0.028697 0.02872 0.028668 0.028579 0.028486 0.028384 0.028277 0.028167 0.028064 0.027964 0.027872 0.027812 0.027763 0.027733 0.027764 0.027853 0.028065 0.028372 0.028815 0.0294 0.030144 0.031097 0.032234 0.033629 0.035273 0.037188 0.039374 0.041908 0.044744 0.048065 0.05178 0.055972 0.06079 0.066134 0.072146 0.07887 0.086315 0.094559 0.10373 0.11383 0.12497 0.13721 0.1508 0.16561 0.18196 0.19993 0.21958 0.24104 0.26455 0.29024 0.31816 0.34865 0.38177 0.41771 0.45693 0.49927 0.54522 0.59484 0.64873 0.70674 0.76932 0.83695 0.90976 0.98819 1.0725 1.1634 1.2608 1.3658 1.4785 1.5997 1.7301 1.8703 2.0219 2.1858 2.3648 2.5606 2.7756 0.1867 0.18856 0.19042 0.19225 0.19402 0.19578 0.1976 0.19946 0.20136 0.20334 0.20539 0.20748 0.20964 0.21183 0.21414 0.21654 0.21908 0.22174 0.22455 0.2275 0.23067 0.23405 0.23768 0.2415 0.24563 0.25014 0.25503 0.26031 0.26599 0.272 0.27849 0.28546 0.29266 0.30056 0.30884 0.3178 0.32759 0.33788 0.34867 0.3602 0.37208 0.38528 0.39947 0.41434 0.4301 0.44697 0.46512 0.48452 0.50505 0.52712 0.55045 0.57548 0.60252 0.63134 0.66209 0.69495 0.73076 0.76929 0.8104 0.85446 0.90243 0.95375 1.0088 1.0678 1.1317 1.2001 1.2732 1.3523 1.4368 1.5275 1.6246 1.7291 1.8408 1.9609 2.0895 2.2277 2.3763 2.5366 2.7104 2.8994 3.1051 0.94989 0.95679 0.96362 0.97065 0.97774 0.98485 0.992 0.99933 1.0069 1.0145 1.0223 1.0301 1.0381 1.046 1.0542 1.0624 1.0709 1.0797 1.0886 1.0978 1.1071 1.1167 1.1267 1.1367 1.1476 1.1585 1.1697 1.1816 1.1936 1.2061 1.219 1.2327 1.2468 1.2614 1.2767 1.2929 1.3096 1.3272 1.3454 1.3643 1.384 1.4048 1.4269 1.4498 1.4736 1.4988 1.5256 1.5536 1.5831 1.614 1.6468 1.6814 1.7176 1.756 1.7971 1.8404 1.8858 1.934 1.9853 2.0394 2.0969 2.1581 2.2233 2.2924 2.3657 2.4431 2.5257 2.6138 2.707 2.8077 2.9138 3.0262 3.1471 3.2758 3.4111 3.5585 3.7146 3.8827 4.0634 4.2558 4.4687
6 0.064373 0.0055048 0.0060139 0.0065549 0.0071211 0.0076061 0.0079092 0.0082753 0.0086919 0.0090595 0.009373 0.0095732 0.0098126 0.010034 0.010177 0.01027 0.010361 0.010475 0.010614 0.010768 0.010959 0.011272 0.011638 0.01213 0.012743 0.013454 0.014321 0.015359 0.01658 0.01794 0.019544 0.021338 0.023386 0.025628 0.028266 0.031224 0.034483 0.038196 0.042308 0.04699 0.052191 0.057985 0.064603 0.071919 0.080041 0.089128 0.099266 0.1103 0.12263 0.13631 0.15136 0.16812 0.18661 0.20707 0.22968 0.25477 0.28244 0.31292 0.34652 0.38336 0.42377 0.46795 0.51639 0.56883 0.62581 0.6875 0.75421 0.82631 0.90385 0.9877 1.0778 1.1749 1.2794 1.3918 1.5129 1.6432 1.7837 1.9353 2.1 2.2798 2.4775 2.6946 0.0057034 0.0062091 0.0067354 0.0072853 0.0077512 0.0080363 0...
% Consumption Choices
tb_az_c = ff_summ_nd_array("MEAN(C(A,Z) - C(A,Z|unemp))", cons_VFI_unemp_drop, true, ["mean"], 4, 1, cl_mp_datasetdesc, ar_permute);
xxx MEAN(C(A,Z) - C(A,Z|unemp)) xxxxxxxxxxxxxxxxxxxxxxxxxxx
group savings mean_eta_1 mean_eta_2 mean_eta_3 mean_eta_4 mean_eta_5 mean_eta_6 mean_eta_7 mean_eta_8 mean_eta_9 mean_eta_10 mean_eta_11 mean_eta_12 mean_eta_13 mean_eta_14 mean_eta_15 mean_eta_16 mean_eta_17 mean_eta_18 mean_eta_19 mean_eta_20 mean_eta_21 mean_eta_22 mean_eta_23 mean_eta_24 mean_eta_25 mean_eta_26 mean_eta_27 mean_eta_28 mean_eta_29 mean_eta_30 mean_eta_31 mean_eta_32 mean_eta_33 mean_eta_34 mean_eta_35 mean_eta_36 mean_eta_37 mean_eta_38 mean_eta_39 mean_eta_40 mean_eta_41 mean_eta_42 mean_eta_43 mean_eta_44 mean_eta_45 mean_eta_46 mean_eta_47 mean_eta_48 mean_eta_49 mean_eta_50 mean_eta_51 mean_eta_52 mean_eta_53 mean_eta_54 mean_eta_55 mean_eta_56 mean_eta_57 mean_eta_58 mean_eta_59 mean_eta_60 mean_eta_61 mean_eta_62 mean_eta_63 mean_eta_64 mean_eta_65 mean_eta_66 mean_eta_67 mean_eta_68 mean_eta_69 mean_eta_70 mean_eta_71 mean_eta_72 mean_eta_73 mean_eta_74 mean_eta_75 mean_eta_76 mean_eta_77 mean_eta_78 mean_eta_79 mean_eta_80 mean_eta_81 mean_eta_82 mean_eta_83 mean_eta_84 mean_eta_85 mean_eta_86 mean_eta_87 mean_eta_88 mean_eta_89 mean_eta_90 mean_eta_91 mean_eta_92 mean_eta_93 mean_eta_94 mean_eta_95 mean_eta_96 mean_eta_97 mean_eta_98 mean_eta_99 mean_eta_100 mean_eta_101 mean_eta_102 mean_eta_103 mean_eta_104 mean_eta_105 mean_eta_106 mean_eta_107 mean_eta_108 mean_eta_109 mean_eta_110 mean_eta_111 mean_eta_112 mean_eta_113 mean_eta_114 mean_eta_115 mean_eta_116 mean_eta_117 mean_eta_118 mean_eta_119 mean_eta_120 mean_eta_121 mean_eta_122 mean_eta_123 mean_eta_124 mean_eta_125 mean_eta_126 mean_eta_127 mean_eta_128 mean_eta_129 mean_eta_130 mean_eta_131 mean_eta_132 mean_eta_133 mean_eta_134 mean_eta_135 mean_eta_136 mean_eta_137 mean_eta_138 mean_eta_139 mean_eta_140 mean_eta_141 mean_eta_142 mean_eta_143 mean_eta_144 mean_eta_145 mean_eta_146 mean_eta_147 mean_eta_148 mean_eta_149 mean_eta_150 mean_eta_151 mean_eta_152 mean_eta_153 mean_eta_154 mean_eta_155 mean_eta_156 mean_eta_157 mean_eta_158 mean_eta_159 mean_eta_160 mean_eta_161 mean_eta_162 mean_eta_163 mean_eta_164 mean_eta_165 mean_eta_166 mean_eta_167 mean_eta_168 mean_eta_169 mean_eta_170 mean_eta_171 mean_eta_172 mean_eta_173 mean_eta_174 mean_eta_175 mean_eta_176 mean_eta_177 mean_eta_178 mean_eta_179 mean_eta_180 mean_eta_181 mean_eta_182 mean_eta_183 mean_eta_184 mean_eta_185 mean_eta_186 mean_eta_187 mean_eta_188 mean_eta_189 mean_eta_190 mean_eta_191 mean_eta_192 mean_eta_193 mean_eta_194 mean_eta_195 mean_eta_196 mean_eta_197 mean_eta_198 mean_eta_199 mean_eta_200 mean_eta_201 mean_eta_202 mean_eta_203 mean_eta_204 mean_eta_205 mean_eta_206 mean_eta_207 mean_eta_208 mean_eta_209 mean_eta_210 mean_eta_211 mean_eta_212 mean_eta_213 mean_eta_214 mean_eta_215 mean_eta_216 mean_eta_217 mean_eta_218 mean_eta_219 mean_eta_220 mean_eta_221 mean_eta_222 mean_eta_223 mean_eta_224 mean_eta_225 mean_eta_226 mean_eta_227 mean_eta_228 mean_eta_229 mean_eta_230 mean_eta_231 mean_eta_232 mean_eta_233 mean_eta_234 mean_eta_235 mean_eta_236 mean_eta_237 mean_eta_238 mean_eta_239 mean_eta_240 mean_eta_241 mean_eta_242 mean_eta_243 mean_eta_244 mean_eta_245 mean_eta_246 mean_eta_247 mean_eta_248 mean_eta_249 mean_eta_250 mean_eta_251 mean_eta_252 mean_eta_253 mean_eta_254 mean_eta_255 mean_eta_256 mean_eta_257 mean_eta_258 mean_eta_259 mean_eta_260 mean_eta_261 mean_eta_262 mean_eta_263 mean_eta_264 mean_eta_265 mean_eta_266 mean_eta_267 mean_eta_268 mean_eta_269 mean_eta_270 mean_eta_271 mean_eta_272 mean_eta_273 mean_eta_274 mean_eta_275 mean_eta_276 mean_eta_277 mean_eta_278 mean_eta_279 mean_eta_280 mean_eta_281 mean_eta_282 mean_eta_283 mean_eta_284 mean_eta_285 mean_eta_286 mean_eta_287 mean_eta_288 mean_eta_289 mean_eta_290 mean_eta_291 mean_eta_292 mean_eta_293 mean_eta_294 mean_eta_295 mean_eta_296 mean_eta_297 mean_eta_298 mean_eta_299 mean_eta_300 mean_eta_301 mean_eta_302 mean_eta_303 mean_eta_304 mean_eta_305 mean_eta_306 mean_eta_307 mean_eta_308 mean_eta_309 mean_eta_310 mean_eta_311 mean_eta_312 mean_eta_313 mean_eta_314 mean_eta_315 mean_eta_316 mean_eta_317 mean_eta_318 mean_eta_319 mean_eta_320 mean_eta_321 mean_eta_322 mean_eta_323 mean_eta_324 mean_eta_325 mean_eta_326 mean_eta_327 mean_eta_328 mean_eta_329 mean_eta_330 mean_eta_331 mean_eta_332 mean_eta_333 mean_eta_334 mean_eta_335 mean_eta_336 mean_eta_337 mean_eta_338 mean_eta_339 mean_eta_340 mean_eta_341 mean_eta_342 mean_eta_343 mean_eta_344 mean_eta_345 mean_eta_346 mean_eta_347 mean_eta_348 mean_eta_349 mean_eta_350 mean_eta_351 mean_eta_352 mean_eta_353 mean_eta_354 mean_eta_355 mean_eta_356 mean_eta_357 mean_eta_358 mean_eta_359 mean_eta_360 mean_eta_361 mean_eta_362 mean_eta_363 mean_eta_364 mean_eta_365 mean_eta_366 mean_eta_367 mean_eta_368 mean_eta_369 mean_eta_370 mean_eta_371 mean_eta_372 mean_eta_373 mean_eta_374 mean_eta_375 mean_eta_376 mean_eta_377 mean_eta_378 mean_eta_379 mean_eta_380 mean_eta_381 mean_eta_382 mean_eta_383 mean_eta_384 mean_eta_385 mean_eta_386 mean_eta_387 mean_eta_388 mean_eta_389 mean_eta_390 mean_eta_391 mean_eta_392 mean_eta_393 mean_eta_394 mean_eta_395 mean_eta_396 mean_eta_397 mean_eta_398 mean_eta_399 mean_eta_400 mean_eta_401 mean_eta_402 mean_eta_403 mean_eta_404 mean_eta_405
_____ __________ __________ __________ __________ __________ __________ __________ __________ __________ __________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________
1 0 0.019312 0.020444 0.021649 0.02293 0.024294 0.025745 0.027288 0.02893 0.030677 0.032535 0.034511 0.036613 0.03885 0.041229 0.04376 0.046453 0.049316 0.052353 0.055573 0.058959 0.062526 0.066262 0.070165 0.074232 0.078466 0.082893 0.087475 0.092259 0.097174 0.10226 0.1076 0.11309 0.11886 0.12483 0.13108 0.13745 0.14414 0.15103 0.15811 0.16558 0.17311 0.18101 0.18903 0.19732 0.2057 0.21433 0.22318 0.23207 0.24125 0.25047 0.25981 0.26925 0.27847 0.28767 0.2967 0.3054 0.31385 0.32179 0.3296 0.3366 0.34314 0.34914 0.3544 0.35912 0.36329 0.36701 0.37011 0.37314 0.37543 0.37734 0.379 0.37968 0.38024 0.37959 0.37832 0.37569 0.3714 0.36462 0.35339 0.33553 0.31056 0.028018 0.029183 0.03042 0.031734 0.033129 0.034612 0.036187 0.03786 0.039637 0.041526 0.043533 0.045666 0.047933 0.050343 0.052905 0.055628 0.058522 0.061591 0.064842 0.068261 0.071861 0.07563 0.079567 0.08367 0.087937 0.092395 0.09699 0.10177 0.1067 0.11181 0.11715 0.12268 0.12837 0.1344 0.14051 0.14682 0.15344 0.16015 0.16717 0.17439 0.1818 0.18945 0.19719 0.20523 0.21325 0.22158 0.22998 0.23854 0.24726 0.25596 0.26469 0.2734 0.28208 0.29051 0.29872 0.30668 0.31441 0.32172 0.32873 0.33515 0.34113 0.34657 0.35153 0.35595 0.35999 0.36342 0.36654 0.36944 0.37173 0.37362 0.37513 0.37583 0.37631 0.37586 0.37472 0.37229 0.36818 0.36156 0.35054 0.33342 0.30897 0.050761 0.051932 0.053278 0.054771 0.056385 0.058108 0.059935 0.061875 0.063926 0.066093 0.068391 0.070828 0.073393 0.076104 0.078985 0.082028 0.085237 0.088617 0.09216 0.095894 0.09978 0.10379 0.10797 0.11227 0.11674 0.12129 0.12597 0.13075 0.13561 0.14061 0.14578 0.15105 0.15646 0.162 0.16758 0.1733 0.17915 0.18503 0.19102 0.19712 0.20325 0.20948 0.21576 0.22219 0.22857 0.23508 0.24159 0.24804 0.25461 0.2611 0.26745 0.2739 0.28018 0.28629 0.29238 0.29816 0.30386 0.30936 0.31467 0.31962 0.32434 0.32889 0.33304 0.33697 0.34061 0.34381 0.34685 0.34943 0.35183 0.35361 0.35529 0.35634 0.35699 0.35725 0.35646 0.35509 0.35172 0.3466 0.33718 0.32261 0.30116 0.061963 0.062678 0.063492 0.06437 0.065305 0.066301 0.067369 0.068468 0.069627 0.070847 0.072135 0.073482 0.074898 0.076389 0.077973 0.079659 0.081435 0.083305 0.085239 0.087293 0.089407 0.091608 0.09385 0.096139 0.098439 0.10086 0.10325 0.10557 0.10772 0.10986 0.11207 0.11439 0.11676 0.11906 0.12128 0.12361 0.12615 0.12891 0.13167 0.13465 0.13755 0.14053 0.14355 0.14675 0.15012 0.15368 0.15741 0.1611 0.16524 0.16943 0.17387 0.17859 0.18311 0.18768 0.19277 0.19788 0.2028 0.20742 0.21247 0.21769 0.22222 0.22703 0.23155 0.23659 0.24094 0.24526 0.24976 0.25397 0.25798 0.26201 0.26605 0.26949 0.27356 0.27688 0.28012 0.28273 0.28464 0.28518 0.28334 0.27789 0.26837 0.11957 0.12052 0.12141 0.12238 0.12329 0.12426 0.12541 0.12654 0.12753 0.12844 0.12969 0.13079 0.13209 0.13346 0.13511 0.13662 0.13843 0.14016 0.14202 0.1438 0.14575 0.14774 0.14974 0.15186 0.1541 0.15605 0.15847 0.16062 0.16285 0.1652 0.16747 0.16989 0.17204 0.17454 0.17678 0.17901 0.18124 0.18357 0.18581 0.18858 0.19121 0.19379 0.19617 0.19879 0.20154 0.20433 0.20717 0.20987 0.21274 0.21575 0.21865 0.22176 0.22522 0.22838 0.23158 0.23462 0.23828 0.24196 0.24558 0.24915 0.25308 0.25711 0.26077 0.2642 0.2684 0.27311 0.27752 0.28236 0.2869 0.29092 0.29554 0.30079 0.3056 0.30998 0.31668 0.32067 0.32523 0.32884 0.33048 0.33243 0.3267
2 0.00051498 0.019312 0.020444 0.021648 0.02293 0.024293 0.025743 0.027286 0.028928 0.030675 0.032533 0.034509 0.036612 0.038849 0.041228 0.04376 0.046452 0.049313 0.052346 0.055564 0.058945 0.062511 0.066241 0.070143 0.074206 0.078437 0.082857 0.087435 0.092213 0.097122 0.1022 0.10754 0.11302 0.11878 0.12475 0.131 0.13736 0.14405 0.15093 0.158 0.16547 0.173 0.18089 0.18891 0.1972 0.20557 0.2142 0.22304 0.23193 0.24111 0.25032 0.25966 0.26909 0.27831 0.28751 0.29653 0.30523 0.31368 0.32161 0.32942 0.33641 0.34295 0.34895 0.3542 0.35892 0.36309 0.36681 0.36991 0.37294 0.37523 0.37714 0.3788 0.37949 0.38005 0.3794 0.37814 0.37552 0.37123 0.36445 0.35323 0.33539 0.31044 0.028018 0.029183 0.03042 0.031733 0.033128 0.03461 0.036185 0.037858 0.039635 0.041524 0.043531 0.045665 0.047932 0.050342 0.052904 0.055627 0.05852 0.061584 0.064834 0.068248 0.071846 0.07561 0.079545 0.083644 0.087908 0.092359 0.096949 0.10173 0.10664 0.11175 0.11708 0.12262 0.1283 0.13432 0.14042 0.14673 0.15334 0.16005 0.16707 0.17428 0.18169 0.18933 0.19707 0.2051 0.21312 0.22145 0.22984 0.2384 0.24711 0.25581 0.26453 0.27324 0.28191 0.29034 0.29854 0.3065 0.31423 0.32153 0.32855 0.33496 0.34093 0.34638 0.35133 0.35575 0.35979 0.36322 0.36634 0.36924 0.37153 0.37342 0.37494 0.37564 0.37613 0.37568 0.37454 0.37211 0.36801 0.3614 0.35039 0.33328 0.30884 0.05066 0.051831 0.053177 0.054669 0.056283 0.058005 0.059831 0.061769 0.063819 0.065984 0.06828 0.070716 0.073279 0.07599 0.078868 0.081911 0.085117 0.088489 0.092033 0.095763 0.099646 0.10365 0.10783 0.11213 0.1166 0.12115 0.12582 0.13058 0.13545 0.14044 0.1456 0.15087 0.15627 0.16181 0.16738 0.17309 0.17895 0.18482 0.1908 0.1969 0.20303 0.20925 0.21553 0.22196 0.22834 0.23485 0.24136 0.24781 0.25437 0.26086 0.26721 0.27366 0.27993 0.28605 0.29213 0.29792 0.30362 0.30911 0.31443 0.31938 0.32409 0.32865 0.33281 0.33673 0.34037 0.34358 0.34662 0.3492 0.35161 0.35338 0.35507 0.35612 0.35678 0.35704 0.35626 0.35488 0.35153 0.34642 0.337 0.32244 0.30102 0.061935 0.06265 0.063465 0.064345 0.065279 0.066276 0.067341 0.068439 0.069596 0.070819 0.072102 0.073452 0.074869 0.076357 0.077942 0.07963 0.081404 0.08327 0.085202 0.087253 0.089367 0.091559 0.093803 0.096085 0.098385 0.1008 0.10318 0.10549 0.10763 0.10976 0.11197 0.11427 0.11665 0.11895 0.12117 0.12348 0.12602 0.12877 0.13154 0.13451 0.13741 0.14038 0.14339 0.1466 0.14996 0.15351 0.15724 0.16093 0.16506 0.16925 0.17369 0.1784 0.18293 0.1875 0.19259 0.1977 0.20261 0.20724 0.21229 0.21751 0.22204 0.22685 0.23138 0.23642 0.24077 0.24509 0.24959 0.25381 0.25782 0.26185 0.2659 0.26934 0.27341 0.27674 0.27998 0.2826 0.28452 0.28506 0.28322 0.27779 0.26829 0.11956 0.12051 0.12141 0.12237 0.12328 0.12425 0.1254 0.12652 0.12752 0.12843 0.12968 0.13078 0.13208 0.13345 0.1351 0.13661 0.13842 0.14015 0.142 0.14377 0.14573 0.14771 0.14971 0.15183 0.15407 0.15601 0.15843 0.16056 0.1628 0.16514 0.1674 0.16981 0.17196 0.17446 0.17669 0.17892 0.18115 0.18347 0.18571 0.18848 0.19111 0.19368 0.19606 0.19868 0.20144 0.20422 0.20706 0.20976 0.21262 0.21564 0.21854 0.22164 0.22511 0.22827 0.23146 0.23451 0.23817 0.24185 0.24547 0.24905 0.25297 0.25701 0.26067 0.2641 0.2683 0.27301 0.27742 0.28226 0.28681 0.29082 0.29544 0.3007 0.30551 0.3099 0.3166 0.32059 0.32515 0.32876 0.33041 0.33236 0.32664
3 0.0041199 0.019298 0.020407 0.021586 0.022857 0.02422 0.025674 0.027223 0.028871 0.030623 0.032484 0.034461 0.036563 0.038799 0.041176 0.043702 0.046385 0.049231 0.052258 0.055461 0.058835 0.062375 0.06608 0.069962 0.073997 0.0782 0.08258 0.087118 0.091865 0.096723 0.10176 0.10706 0.11252 0.11823 0.12417 0.1304 0.13671 0.14339 0.15022 0.15728 0.1647 0.1722 0.18007 0.18806 0.19631 0.20467 0.21329 0.22207 0.23095 0.24009 0.24927 0.25862 0.268 0.27721 0.28639 0.29535 0.30405 0.31245 0.32036 0.32813 0.33509 0.34161 0.3476 0.35282 0.35752 0.36169 0.36536 0.36849 0.37155 0.37385 0.37577 0.37745 0.37815 0.37873 0.37815 0.37687 0.37429 0.37007 0.36331 0.35216 0.33441 0.30955 0.028004 0.029145 0.030357 0.031661 0.033055 0.034541 0.036121 0.0378 0.039583 0.041475 0.043483 0.045615 0.047882 0.05029 0.052847 0.05556 0.058438 0.061496 0.06473 0.068137 0.07171 0.075448 0.079364 0.083434 0.08767 0.092081 0.096627 0.10137 0.10624 0.11131 0.11662 0.12211 0.12775 0.13373 0.1398 0.14607 0.15264 0.15932 0.16632 0.17348 0.18088 0.18847 0.19619 0.20416 0.21219 0.22049 0.22883 0.23739 0.24606 0.25473 0.26341 0.2721 0.28076 0.28918 0.29732 0.30527 0.31297 0.32024 0.32722 0.33361 0.33954 0.34498 0.34994 0.35431 0.35837 0.3618 0.36495 0.36784 0.37015 0.37205 0.3736 0.37432 0.37483 0.37442 0.37328 0.37087 0.36684 0.36027 0.34933 0.3323 0.30796 0.049946 0.051092 0.052409 0.053889 0.055498 0.057221 0.05905 0.060992 0.06304 0.065196 0.067485 0.069903 0.072453 0.075155 0.078015 0.08103 0.084213 0.087562 0.091086 0.094813 0.098665 0.10267 0.10683 0.11113 0.11556 0.12008 0.12469 0.12941 0.13424 0.13922 0.14436 0.14959 0.15493 0.16042 0.16597 0.17164 0.17748 0.18332 0.18929 0.19535 0.20146 0.20767 0.21395 0.22033 0.22671 0.23322 0.2397 0.24614 0.25271 0.25919 0.26554 0.27197 0.27825 0.28439 0.29043 0.29623 0.30193 0.30741 0.31272 0.31772 0.32238 0.32701 0.33115 0.33506 0.33873 0.34194 0.345 0.3476 0.35004 0.35182 0.35353 0.3546 0.35527 0.35559 0.35483 0.35345 0.35021 0.34514 0.33576 0.32132 0.30002 0.061705 0.062426 0.063223 0.064104 0.065036 0.066037 0.067091 0.068186 0.069343 0.070567 0.071844 0.07319 0.074612 0.076092 0.077665 0.079349 0.081112 0.082975 0.084909 0.086934 0.089029 0.091188 0.093429 0.09567 0.097947 0.10029 0.10262 0.10487 0.10698 0.10908 0.11123 0.11346 0.11581 0.11817 0.12035 0.12255 0.12506 0.12777 0.13059 0.13349 0.13637 0.13927 0.14227 0.1455 0.14883 0.15235 0.15603 0.15972 0.16383 0.16798 0.17242 0.17708 0.18163 0.18621 0.19129 0.19643 0.20131 0.20597 0.21103 0.21624 0.22079 0.22562 0.23018 0.2352 0.23957 0.24388 0.24844 0.25267 0.2567 0.26074 0.2648 0.26827 0.27236 0.27573 0.27897 0.28163 0.28361 0.28421 0.28241 0.27705 0.26765 0.1195 0.12044 0.12132 0.12225 0.12317 0.12414 0.1253 0.1264 0.12739 0.12832 0.12957 0.13068 0.13197 0.13336 0.13498 0.13649 0.13829 0.14001 0.14184 0.14359 0.14553 0.1475 0.14948 0.1516 0.15379 0.15571 0.15808 0.16014 0.16237 0.16466 0.1669 0.16928 0.17141 0.17386 0.17608 0.17827 0.18049 0.18278 0.18503 0.18777 0.19036 0.19292 0.19532 0.1979 0.2007 0.20345 0.20628 0.20899 0.21182 0.21486 0.21774 0.22084 0.22432 0.22753 0.23067 0.23373 0.23742 0.2411 0.24472 0.24834 0.25224 0.25627 0.25994 0.26342 0.26762 0.27231 0.27675 0.28156 0.28619 0.29012 0.2948 0.30008 0.3049 0.30934 0.31603 0.32 0.32463 0.32823 0.32994 0.33192 0.32623
4 0.013905 0.018153 0.019231 0.020392 0.021647 0.023001 0.024452 0.025999 0.027646 0.029398 0.031261 0.033245 0.035356 0.037603 0.039992 0.042531 0.045225 0.048083 0.051112 0.054319 0.057672 0.061185 0.064847 0.068671 0.072664 0.076837 0.081153 0.08564 0.09031 0.095121 0.10012 0.10533 0.11077 0.1164 0.12231 0.12842 0.1347 0.14136 0.14809 0.15515 0.1625 0.16995 0.17779 0.18571 0.19386 0.2022 0.21073 0.2194 0.22828 0.23737 0.24648 0.25574 0.26504 0.27421 0.28329 0.29211 0.3008 0.3091 0.317 0.32458 0.3315 0.33792 0.34383 0.34904 0.35377 0.35784 0.36151 0.36473 0.36775 0.37009 0.37213 0.37372 0.37459 0.37511 0.37471 0.37348 0.37101 0.36693 0.36024 0.34924 0.33178 0.30713 0.026858 0.027969 0.029162 0.03045 0.031836 0.033318 0.034897 0.036575 0.038358 0.040252 0.042266 0.044408 0.046686 0.049105 0.051675 0.0544 0.057289 0.06035 0.063589 0.066974 0.07052 0.074215 0.078073 0.0821 0.086301 0.090644 0.095134 0.099794 0.10463 0.10963 0.11489 0.12029 0.12591 0.1318 0.13777 0.14404 0.15054 0.15715 0.16411 0.17121 0.17856 0.18604 0.19379 0.20159 0.20961 0.21783 0.22609 0.23459 0.24324 0.2518 0.26043 0.26904 0.27757 0.28592 0.29398 0.30193 0.30955 0.31675 0.32356 0.32991 0.33572 0.34113 0.34609 0.3505 0.3545 0.35799 0.36123 0.36404 0.3664 0.36835 0.3699 0.37077 0.37131 0.37101 0.36989 0.36756 0.36368 0.35724 0.34646 0.32968 0.3056 0.046724 0.04781 0.049095 0.050553 0.052155 0.053879 0.055713 0.057653 0.059702 0.061878 0.064175 0.066593 0.069153 0.071859 0.074709 0.077713 0.080867 0.084178 0.087697 0.091351 0.095143 0.099083 0.10314 0.10738 0.11173 0.11617 0.12074 0.12549 0.13033 0.1353 0.14036 0.14556 0.15086 0.15626 0.16173 0.16734 0.17314 0.17892 0.18489 0.19091 0.19697 0.20316 0.20947 0.21572 0.22216 0.22862 0.23505 0.24151 0.2481 0.25451 0.26089 0.2673 0.27353 0.27968 0.28568 0.29155 0.29726 0.30274 0.308 0.31304 0.3177 0.32239 0.32652 0.33047 0.33417 0.33746 0.34059 0.34315 0.34568 0.34752 0.34924 0.35041 0.35115 0.35154 0.35091 0.34955 0.34652 0.3416 0.33234 0.3182 0.29724 0.060082 0.060807 0.06159 0.062434 0.063346 0.064335 0.065363 0.066468 0.067607 0.068814 0.0701 0.071435 0.072862 0.074363 0.075987 0.077672 0.079466 0.081333 0.083271 0.085235 0.087303 0.089415 0.091572 0.093778 0.096052 0.098283 0.10047 0.10258 0.10465 0.10671 0.10881 0.11091 0.11316 0.11561 0.11781 0.11987 0.12228 0.12477 0.1277 0.13055 0.13345 0.13622 0.13915 0.14248 0.14572 0.14914 0.15276 0.15643 0.16051 0.1645 0.16897 0.17363 0.17811 0.18271 0.18778 0.19298 0.19781 0.20252 0.20761 0.21281 0.21738 0.2222 0.22686 0.23194 0.2363 0.24069 0.24537 0.2495 0.25361 0.25774 0.2618 0.26544 0.2695 0.27296 0.27629 0.27905 0.28118 0.28192 0.28024 0.27509 0.26597 0.11826 0.11916 0.12003 0.12096 0.12185 0.12281 0.12391 0.12501 0.12598 0.12696 0.12819 0.12934 0.13059 0.13208 0.13366 0.13525 0.13702 0.13876 0.14054 0.14227 0.1442 0.14615 0.14808 0.15022 0.15226 0.1542 0.1565 0.15843 0.16069 0.1629 0.16513 0.16746 0.16954 0.17194 0.17414 0.1763 0.17854 0.18071 0.18301 0.18569 0.18826 0.19081 0.19327 0.19577 0.19868 0.20138 0.20413 0.20685 0.2097 0.21277 0.21559 0.21875 0.22219 0.22544 0.22849 0.23166 0.23535 0.23908 0.24266 0.2464 0.25025 0.25416 0.25794 0.26164 0.26572 0.27047 0.27498 0.27961 0.28446 0.28826 0.293 0.29846 0.30324 0.30782 0.31454 0.31848 0.32322 0.32681 0.32865 0.3308 0.3251
5 0.032959 0.015388 0.016299 0.017309 0.01846 0.019758 0.021188 0.022739 0.024396 0.026156 0.02804 0.030042 0.032167 0.034423 0.036815 0.039352 0.042042 0.044888 0.047884 0.051047 0.054381 0.05784 0.061482 0.065227 0.069161 0.073244 0.077482 0.081905 0.086463 0.09119 0.096173 0.10132 0.10668 0.11229 0.11814 0.12413 0.13043 0.13691 0.14364 0.15069 0.15788 0.16535 0.17304 0.18087 0.18894 0.19714 0.20561 0.21418 0.22307 0.232 0.241 0.25011 0.25924 0.26835 0.27727 0.28592 0.29445 0.30258 0.31041 0.31768 0.32449 0.33083 0.33656 0.34169 0.34633 0.35044 0.35411 0.35734 0.36042 0.3628 0.36503 0.36662 0.36769 0.36816 0.36791 0.36687 0.36471 0.3609 0.35427 0.34354 0.32669 0.3026 0.024091 0.025035 0.026078 0.02726 0.028591 0.030053 0.031635 0.033323 0.035114 0.037029 0.039062 0.041218 0.043504 0.045927 0.048496 0.051216 0.054093 0.057121 0.060316 0.063682 0.067175 0.07085 0.074628 0.07859 0.082699 0.086943 0.091361 0.095935 0.10068 0.10567 0.11084 0.11613 0.12178 0.12748 0.13342 0.13965 0.14597 0.15262 0.15947 0.16647 0.17378 0.18116 0.18874 0.19647 0.20438 0.21249 0.22072 0.22914 0.23756 0.24608 0.25456 0.263 0.27141 0.27958 0.2876 0.29535 0.30277 0.30985 0.31644 0.32272 0.32843 0.3337 0.33859 0.343 0.34707 0.3506 0.3538 0.35671 0.35908 0.36116 0.36287 0.36385 0.36441 0.36429 0.36329 0.36122 0.35759 0.35132 0.34092 0.32449 0.30105 0.039813 0.040632 0.041681 0.042964 0.044455 0.046107 0.047927 0.049884 0.05195 0.054136 0.056446 0.058886 0.061455 0.064163 0.067017 0.070003 0.07315 0.076463 0.079914 0.083516 0.087218 0.091066 0.095033 0.099129 0.10336 0.10769 0.11216 0.11674 0.12144 0.12627 0.13126 0.13637 0.14166 0.147 0.15251 0.15815 0.1638 0.16962 0.1755 0.18147 0.18755 0.19375 0.19998 0.20633 0.21273 0.21923 0.22565 0.23221 0.23869 0.24509 0.2515 0.25787 0.26412 0.27022 0.27628 0.28212 0.28784 0.29341 0.29858 0.3037 0.30851 0.31316 0.3173 0.32136 0.32515 0.32851 0.33162 0.33438 0.33687 0.33895 0.34082 0.3421 0.34301 0.34347 0.34301 0.34192 0.33909 0.33436 0.3256 0.31181 0.29161 0.056478 0.057014 0.057626 0.058364 0.059249 0.060233 0.061264 0.062366 0.06354 0.064758 0.066036 0.067408 0.068856 0.070418 0.072041 0.073736 0.075477 0.077288 0.079161 0.081118 0.083092 0.085111 0.087138 0.089265 0.091376 0.093434 0.095458 0.097455 0.099452 0.10153 0.10357 0.10561 0.10792 0.11008 0.11243 0.11473 0.11685 0.11918 0.12177 0.12441 0.12759 0.13034 0.13311 0.13624 0.1396 0.14306 0.14654 0.15014 0.15407 0.15806 0.16246 0.16697 0.17139 0.17611 0.1811 0.18634 0.19115 0.19594 0.20105 0.2063 0.21095 0.21578 0.22062 0.22567 0.23008 0.23454 0.23933 0.24345 0.24775 0.25202 0.25625 0.26006 0.2641 0.26767 0.27127 0.27421 0.27654 0.27757 0.27611 0.27139 0.26274 0.1154 0.11602 0.11683 0.11758 0.11841 0.11936 0.12042 0.12146 0.12242 0.12355 0.12463 0.12586 0.12716 0.12877 0.13024 0.13191 0.13356 0.13521 0.13698 0.13868 0.14061 0.14259 0.14448 0.14662 0.14834 0.1504 0.15257 0.15436 0.15663 0.15885 0.16118 0.16321 0.16541 0.16771 0.16996 0.17203 0.17434 0.17643 0.17881 0.18134 0.18406 0.18655 0.18894 0.19157 0.19448 0.19723 0.19988 0.20267 0.20555 0.20866 0.21159 0.21465 0.21814 0.22147 0.22445 0.22767 0.23139 0.23512 0.23868 0.24258 0.24648 0.25031 0.25405 0.258 0.26211 0.26691 0.27141 0.27596 0.28102 0.28477 0.28971 0.29533 0.30002 0.30487 0.31168 0.3156 0.32056 0.32404 0.32612 0.32846 0.32305
6 0.064373 0.013764 0.014386 0.015048 0.015762 0.01664 0.017787 0.018963 0.020187 0.021566 0.023109 0.024885 0.026748 0.028762 0.030997 0.033435 0.036036 0.038787 0.041695 0.044784 0.048044 0.051403 0.054946 0.058615 0.06243 0.066436 0.070591 0.074901 0.079378 0.084089 0.088954 0.094055 0.099357 0.10495 0.11067 0.11663 0.12288 0.12932 0.13604 0.14292 0.15006 0.15745 0.16492 0.17264 0.18059 0.18868 0.19689 0.20548 0.21412 0.22286 0.23178 0.24066 0.24958 0.25844 0.26719 0.27565 0.28385 0.29175 0.29921 0.3063 0.31289 0.31899 0.32434 0.32945 0.33405 0.33824 0.34202 0.34534 0.34849 0.35097 0.35324 0.35498 0.35623 0.3569 0.35684 0.35605 0.3541 0.35069 0.34457 0.33442 0.31825 0.29533 0.022266 0.022924 0.023634 0.024397 0.025326 0.026522 0....Graph Mean Values Change:
mp_support_graph('cl_st_graph_title') = {'MEAN(val(a,z) - val(a,z|unemp)), a=x, z=color'};
mp_support_graph('cl_st_ytitle') = {'MEAN(val(a,z) - val(a,z|unemp))'};
ff_graph_grid((tb_az_v{1:end, 3:end})', ar_st_eta_HS_grid, agrid, mp_support_graph);
Graph Mean Savings Choices Change:
mp_support_graph('cl_st_graph_title') = {'MEAN(ap(a,z) - ap(a,z|unemp)), a=x, z=color'};
mp_support_graph('cl_st_ytitle') = {'MEAN(ap(a,z) - ap(a,z|unemp))'};
ff_graph_grid((tb_az_ap{1:end, 3:end})', ar_st_eta_HS_grid, agrid, mp_support_graph);
Graph Mean Consumption Change:
mp_support_graph('cl_st_graph_title') = {'MEAN(C(a,z) - C(a,z|unemp)), a=x, z=color'};
mp_support_graph('cl_st_ytitle') = {'MEAN(C(a,z) - C(a,z|unemp))'};
ff_graph_grid((tb_az_c{1:end, 3:end})', ar_st_eta_HS_grid, agrid, mp_support_graph);
1.4 Analyze Kids and Marriage and Age
Aggregating over education, savings, and shocks, what are the differential effects of Marriage and Age.
% Generate some Data
mp_support_graph = containers.Map('KeyType', 'char', 'ValueType', 'any');
ar_row_grid = [...
"k0M0", "K1M0", "K2M0", "K3M0", "K4M0", ...
"k0M1", "K1M1", "K2M1", "K3M1", "K4M1"];
mp_support_graph('cl_st_xtitle') = {'Age'};
mp_support_graph('st_legend_loc') = 'best';
mp_support_graph('bl_graph_logy') = true; % do not log
mp_support_graph('st_rounding') = '6.2f'; % format shock legend
mp_support_graph('cl_scatter_shapes') = {...
'o', 'd' ,'s', 'x', '*', ...
'o', 'd', 's', 'x', '*'};
mp_support_graph('cl_colors') = {...
'red', 'red', 'red', 'red', 'red'...
'blue', 'blue', 'blue', 'blue', 'blue'};MEAN(V(KM,J) - V(KM,J | unemp)), MEAN(ap(KM,J) - ap(KM,J | unemp)), MEAN(c(KM,J) - c(KM,J | unemp))
Tabulate value and policies:
% Set
% NaN(n_jgrid,n_agrid,n_etagrid,n_educgrid,n_marriedgrid,n_kidsgrid);
ar_permute = [2,3,4,1,6,5];
% Value Function
tb_az_v = ff_summ_nd_array("MEAN(V(KM,J) - V(KM,J | unemp))", V_VFI_unemp_drop, true, ["mean"], 3, 1, cl_mp_datasetdesc, ar_permute);
xxx MEAN(V(KM,J) - V(KM,J | unemp)) xxxxxxxxxxxxxxxxxxxxxxxxxxx
group kids marry mean_age_18 mean_age_19 mean_age_20 mean_age_21 mean_age_22 mean_age_23 mean_age_24 mean_age_25 mean_age_26 mean_age_27 mean_age_28 mean_age_29 mean_age_30 mean_age_31 mean_age_32 mean_age_33 mean_age_34 mean_age_35 mean_age_36 mean_age_37 mean_age_38 mean_age_39 mean_age_40 mean_age_41 mean_age_42 mean_age_43 mean_age_44 mean_age_45 mean_age_46 mean_age_47 mean_age_48 mean_age_49 mean_age_50 mean_age_51 mean_age_52 mean_age_53 mean_age_54 mean_age_55 mean_age_56 mean_age_57 mean_age_58 mean_age_59 mean_age_60 mean_age_61 mean_age_62 mean_age_63 mean_age_64 mean_age_65 mean_age_66 mean_age_67 mean_age_68 mean_age_69 mean_age_70 mean_age_71 mean_age_72 mean_age_73 mean_age_74 mean_age_75 mean_age_76 mean_age_77 mean_age_78 mean_age_79 mean_age_80 mean_age_81 mean_age_82 mean_age_83 mean_age_84 mean_age_85 mean_age_86 mean_age_87 mean_age_88 mean_age_89 mean_age_90 mean_age_91 mean_age_92 mean_age_93 mean_age_94 mean_age_95 mean_age_96 mean_age_97 mean_age_98 mean_age_99 mean_age_100
_____ ____ _____ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ____________
1 1 0 0.61725 0.59976 0.58199 0.56601 0.55229 0.54054 0.53047 0.52185 0.51452 0.50829 0.50304 0.49864 0.49501 0.49205 0.48969 0.48787 0.48654 0.48566 0.48519 0.48511 0.48539 0.48604 0.48704 0.48839 0.4901 0.49219 0.49468 0.4976 0.50101 0.50495 0.5095 0.51476 0.52084 0.52791 0.5362 0.54601 0.55776 0.57203 0.58962 0.61175 0.64026 0.67826 0.73126 0.81034 0.93897 1.1815 1.84 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 2 0 0.8282 0.80576 0.78226 0.75802 0.73679 0.71815 0.70173 0.68724 0.67445 0.66313 0.65313 0.64429 0.63649 0.62963 0.62361 0.61836 0.61382 0.60993 0.60666 0.60396 0.6018 0.60017 0.59905 0.59844 0.59834 0.59875 0.59969 0.60119 0.6033 0.60606 0.60955 0.61386 0.61912 0.6255 0.63323 0.64264 0.65417 0.66845 0.68633 0.70911 0.73879 0.77875 0.83507 0.91902 1.0538 1.3095 2.0091 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 3 0 0.96839 0.94588 0.92133 0.89232 0.86693 0.84461 0.82495 0.80759 0.79223 0.77861 0.76651 0.75577 0.74624 0.73777 0.73028 0.72365 0.71783 0.71274 0.70835 0.70459 0.70145 0.69889 0.69691 0.6955 0.69465 0.69437 0.69469 0.69562 0.69723 0.69957 0.70271 0.70676 0.71185 0.71817 0.72598 0.73562 0.74758 0.76252 0.78137 0.80554 0.83719 0.87999 0.94052 1.0308 1.1757 1.4507 2.2114 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4 4 0 1.0956 1.0721 1.0458 1.0127 0.98375 0.95827 0.93582 0.91597 0.89838 0.88276 0.86885 0.85646 0.84542 0.83557 0.8268 0.819 0.81209 0.80599 0.80066 0.79604 0.7921 0.7888 0.78615 0.78412 0.78272 0.78195 0.78184 0.78241 0.78372 0.78584 0.78885 0.79286 0.79801 0.8045 0.81262 0.82273 0.83537 0.85124 0.87135 0.8972 0.93114 0.9771 1.0423 1.1398 1.2965 1.5945 2.427 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
5 5 0 1.2019 1.1787 1.1519 1.1158 1.0843 1.0568 1.0326 1.0112 0.99243 0.97577 0.96099 0.94787 0.93621 0.92584 0.91661 0.90842 0.90117 0.89478 0.88918 0.88432 0.88017 0.8767 0.87389 0.87174 0.87024 0.86941 0.86928 0.86988 0.87127 0.87354 0.87677 0.88108 0.88664 0.89366 0.90247 0.91346 0.9272 0.94447 0.96638 0.99454 1.0315 1.0816 1.1526 1.2596 1.4326 1.7618 2.6883 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
6 1 1 0.76869 0.75018 0.73196 0.71662 0.70371 0.69304 0.68425 0.67716 0.67161 0.66741 0.6644 0.66246 0.66146 0.66128 0.66183 0.66303 0.6648 0.66708 0.66981 0.67293 0.67641 0.68022 0.68434 0.68874 0.69341 0.69835 0.70356 0.70906 0.71487 0.72103 0.72758 0.7346 0.74216 0.7504 0.7595 0.76972 0.78141 0.79506 0.8113 0.83105 0.85567 0.88728 0.92944 0.98861 1.078 1.2304 1.5637 0.64034 0.6248 0.60871 0.5925 0.57613 0.55954 0.54266 0.52569 0.5085 0.49136 0.47391 0.45642 0.43895 0.42141 0.40403 0.38676 0.36967 0.35281 0.33611 0.31996 0.30435 0.28925 0.27457 0.26046 0.24714 0.23472 0.22299 0.21166 0.20086 0.19053 0.1805 0.16993 0.15702 0.13909 0.11316 0.071334
7 2 1 0.93097 0.90782 0.88415 0.86307 0.84465 0.82857 0.81448 0.80223 0.7916 0.78237 0.7744 0.76761 0.7619 0.75715 0.75326 0.75016 0.7478 0.74611 0.74503 0.74452 0.74453 0.74505 0.74604 0.7475 0.74939 0.75172 0.75449 0.7577 0.76139 0.76559 0.77034 0.77569 0.78173 0.7886 0.79648 0.80565 0.81644 0.82933 0.84497 0.86432 0.88877 0.92047 0.963 1.0229 1.1136 1.2688 1.6126 0.67762 0.66111 0.64424 0.62743 0.61031 0.59294 0.57531 0.55761 0.53996 0.52219 0.50413 0.48611 0.46799 0.45003 0.43211 0.41431 0.39666 0.37892 0.36158 0.34482 0.32867 0.31298 0.29781 0.2835 0.27014 0.25747 0.24522 0.23351 0.22243 0.21187 0.20154 0.19052 0.17732 0.15938 0.13279 0.087415
8 3 1 1.0192 0.99485 0.96959 0.94589 0.92513 0.90699 0.8911 0.87722 0.86507 0.85444 0.84522 0.83728 0.83047 0.82466 0.81976 0.8157 0.81243 0.80988 0.80798 0.80669 0.80595 0.80574 0.80604 0.80682 0.80808 0.8098 0.81198 0.81465 0.81783 0.82156 0.82588 0.83086 0.83659 0.84321 0.85091 0.85997 0.87075 0.88372 0.89954 0.91918 0.94405 0.97635 1.0197 1.0807 1.1729 1.3313 1.688 0.73811 0.72056 0.70262 0.68453 0.66649 0.64811 0.62946 0.61063 0.59184 0.57303 0.55398 0.53482 0.51581 0.49669 0.47758 0.45848 0.43956 0.42074 0.40216 0.38428 0.36711 0.35057 0.33448 0.31909 0.30468 0.29116 0.27821 0.26566 0.2536 0.242 0.23071 0.21904 0.20513 0.18557 0.15556 0.10136
9 4 1 1.1177 1.0921 1.0652 1.039 1.016 0.99583 0.9781 0.96244 0.94862 0.93639 0.92561 0.9161 0.90773 0.9004 0.89401 0.88848 0.88376 0.87977 0.87648 0.87382 0.87177 0.8703 0.86939 0.86903 0.8692 0.86991 0.87117 0.87297 0.87536 0.87838 0.88208 0.88651 0.89177 0.89798 0.90535 0.91416 0.92475 0.93761 0.95341 0.97311 0.99811 1.0306 1.0743 1.1358 1.2294 1.3914 1.7635 0.79309 0.77472 0.75598 0.73706 0.71826 0.69909 0.67968 0.66004 0.64046 0.62086 0.60107 0.58112 0.56132 0.54129 0.52121 0.50107 0.48114 0.46141 0.44187 0.42305 0.40494 0.38749 0.37048 0.35407 0.33863 0.32414 0.31029 0.29684 0.28382 0.27124 0.25904 0.24655 0.23155 0.20956 0.17488 0.11347
10 5 1 1.1589 1.1352 1.1089 1.0814 1.0577 1.037 1.0189 1.0032 0.98958 0.97765 0.96715 0.95799 0.95003 0.94311 0.93712 0.93194 0.92751 0.92377 0.92067 0.91817 0.91623 0.91482 0.91394 0.91357 0.91371 0.91437 0.91556 0.9173 0.91963 0.92261 0.92629 0.93073 0.93602 0.9423 0.94976 0.95865 0.9693 0.9822 0.998 1.0176 1.0425 1.0748 1.1185 1.1808 1.2771 1.4468 1.8488 0.80103 0.78312 0.76481 0.74623 0.72765 0.70898 0.69016 0.67117 0.65227 0.63305 0.61375 0.59436 0.57496 0.55547 0.53561 0.51591 0.49649 0.47732 0.4582 0.43929 0.42116 0.40395 0.38745 0.37117 0.35542 0.34035 0.32613 0.31271 0.29968 0.28695 0.27451 0.26176 0.24687 0.22425 0.1876 0.12223
% Aprime Choice
tb_az_ap = ff_summ_nd_array("MEAN(ap(KM,J) - ap(KM,J | unemp))", ap_VFI_unemp_drop, true, ["mean"], 3, 1, cl_mp_datasetdesc, ar_permute);
xxx MEAN(ap(KM,J) - ap(KM,J | unemp)) xxxxxxxxxxxxxxxxxxxxxxxxxxx
group kids marry mean_age_18 mean_age_19 mean_age_20 mean_age_21 mean_age_22 mean_age_23 mean_age_24 mean_age_25 mean_age_26 mean_age_27 mean_age_28 mean_age_29 mean_age_30 mean_age_31 mean_age_32 mean_age_33 mean_age_34 mean_age_35 mean_age_36 mean_age_37 mean_age_38 mean_age_39 mean_age_40 mean_age_41 mean_age_42 mean_age_43 mean_age_44 mean_age_45 mean_age_46 mean_age_47 mean_age_48 mean_age_49 mean_age_50 mean_age_51 mean_age_52 mean_age_53 mean_age_54 mean_age_55 mean_age_56 mean_age_57 mean_age_58 mean_age_59 mean_age_60 mean_age_61 mean_age_62 mean_age_63 mean_age_64 mean_age_65 mean_age_66 mean_age_67 mean_age_68 mean_age_69 mean_age_70 mean_age_71 mean_age_72 mean_age_73 mean_age_74 mean_age_75 mean_age_76 mean_age_77 mean_age_78 mean_age_79 mean_age_80 mean_age_81 mean_age_82 mean_age_83 mean_age_84 mean_age_85 mean_age_86 mean_age_87 mean_age_88 mean_age_89 mean_age_90 mean_age_91 mean_age_92 mean_age_93 mean_age_94 mean_age_95 mean_age_96 mean_age_97 mean_age_98 mean_age_99 mean_age_100
_____ ____ _____ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ____________
1 1 0 0.54442 0.54173 0.53857 0.57709 0.6155 0.65344 0.69063 0.72675 0.76147 0.79469 0.82624 0.85591 0.88367 0.90941 0.9331 0.95492 0.97463 0.99243 1.0084 1.0226 1.0349 1.0458 1.055 1.0628 1.0693 1.0745 1.0787 1.0816 1.0836 1.0846 1.0849 1.0843 1.0829 1.0808 1.0781 1.0746 1.0705 1.0657 1.0602 1.0541 1.0473 1.0396 1.0312 1.0219 1.0118 1.0004 0.98771 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 2 0 0.53845 0.53471 0.53034 0.56817 0.60591 0.64335 0.68009 0.71583 0.75032 0.78339 0.81477 0.84442 0.87217 0.89794 0.92176 0.94359 0.96347 0.9814 0.99748 1.0119 1.0245 1.0355 1.045 1.0532 1.06 1.0656 1.07 1.0733 1.0756 1.077 1.0776 1.0773 1.0761 1.0743 1.0716 1.0684 1.0642 1.0595 1.054 1.0478 1.0408 1.033 1.0244 1.0149 1.0049 0.99331 0.98003 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 3 0 0.53193 0.52758 0.5228 0.56021 0.59766 0.63481 0.67133 0.70692 0.74132 0.77432 0.80573 0.83532 0.86315 0.88903 0.91293 0.93488 0.9549 0.97297 0.98924 1.0038 1.0166 1.0279 1.0376 1.046 1.0531 1.059 1.0638 1.0675 1.0702 1.0721 1.0731 1.0732 1.0725 1.0709 1.0686 1.0654 1.0615 1.0568 1.0514 1.0451 1.0381 1.0302 1.0215 1.012 1.0018 0.99008 0.97592 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4 4 0 0.52782 0.52325 0.51825 0.55544 0.59269 0.62969 0.66608 0.70158 0.73591 0.7688 0.80008 0.82971 0.85751 0.88333 0.90728 0.92919 0.94922 0.96739 0.98367 0.99823 1.0111 1.0225 1.0323 1.0409 1.0481 1.0541 1.0592 1.0632 1.0663 1.0685 1.0698 1.0702 1.0699 1.0687 1.0667 1.0638 1.06 1.0554 1.0501 1.0439 1.0368 1.0288 1.02 1.0105 1 0.98686 0.97061 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
5 5 0 0.52378 0.51921 0.5141 0.55117 0.58841 0.62542 0.66185 0.69741 0.73182 0.76488 0.79631 0.82604 0.85393 0.87992 0.90392 0.92603 0.94612 0.96434 0.98077 0.99543 1.0084 1.0198 1.0298 1.0384 1.0457 1.0519 1.0569 1.0611 1.0643 1.0667 1.0682 1.0689 1.0687 1.0676 1.0657 1.0631 1.0594 1.0549 1.0496 1.0434 1.0364 1.0285 1.0196 1.01 0.99852 0.98453 0.96835 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
6 1 1 1.1324 1.1758 1.22 1.3121 1.4051 1.498 1.5902 1.6811 1.7698 1.8556 1.9382 2.017 2.0916 2.1616 2.2265 2.2862 2.3402 2.3887 2.4313 2.4682 2.4993 2.5248 2.5447 2.5592 2.5685 2.5728 2.5722 2.5672 2.558 2.5448 2.5279 2.5075 2.484 2.4577 2.4288 2.3974 2.364 2.3286 2.2915 2.2527 2.2125 2.171 2.1283 2.0843 2.0392 1.9928 1.944 0.59854 0.57794 0.55855 0.53914 0.52091 0.50361 0.48624 0.46899 0.44992 0.43106 0.41645 0.40091 0.38264 0.36433 0.3491 0.33758 0.32649 0.31636 0.30805 0.29648 0.28439 0.26901 0.26266 0.25598 0.24875 0.23351 0.22598 0.22233 0.20776 0.20311 0.18981 0.17951 0.16863 0.14904 0.11151 0
7 2 1 1.0397 1.0754 1.1117 1.1944 1.2779 1.3613 1.444 1.5254 1.6049 1.6818 1.7558 1.8262 1.8927 1.955 2.0128 2.0659 2.1141 2.1573 2.1955 2.2286 2.2566 2.2798 2.2981 2.3116 2.3206 2.3253 2.3259 2.3226 2.3156 2.3052 2.2915 2.2749 2.2555 2.2335 2.2091 2.1825 2.154 2.1235 2.0914 2.0576 2.0225 1.986 1.9483 1.9096 1.8697 1.8287 1.7851 0.59803 0.5793 0.5598 0.54076 0.52141 0.50211 0.48129 0.46331 0.44695 0.43017 0.41063 0.39089 0.37469 0.36132 0.34971 0.33939 0.32991 0.31935 0.30649 0.28916 0.27734 0.27042 0.26338 0.25432 0.23774 0.23138 0.22684 0.21296 0.20651 0.19734 0.19111 0.18096 0.16729 0.1437 0.10683 0
8 3 1 0.97116 1.0022 1.0333 1.1099 1.1873 1.2644 1.3408 1.4161 1.4895 1.5606 1.629 1.694 1.7555 1.813 1.8665 1.9155 1.9601 2.0001 2.0354 2.0661 2.0923 2.1138 2.131 2.144 2.1529 2.1579 2.1591 2.1569 2.1513 2.1426 2.131 2.1166 2.0997 2.0804 2.0589 2.0354 2.01 1.9828 1.9541 1.9239 1.8923 1.8595 1.8257 1.7909 1.7551 1.7181 1.6782 0.62067 0.60036 0.57976 0.55833 0.53604 0.51535 0.49771 0.48041 0.4611 0.44003 0.4205 0.40238 0.38818 0.3755 0.36472 0.35435 0.3417 0.32871 0.31224 0.29675 0.28786 0.28051 0.27287 0.25978 0.24509 0.23969 0.23303 0.21792 0.21499 0.20129 0.19791 0.18648 0.17219 0.1461 0.10928 0
9 4 1 0.89614 0.92283 0.94936 1.0215 1.094 1.166 1.2368 1.3064 1.374 1.4393 1.5021 1.5618 1.6182 1.6709 1.7199 1.7649 1.8058 1.8424 1.8748 1.9031 1.9272 1.9472 1.9633 1.9756 1.9842 1.9893 1.991 1.9895 1.9851 1.9779 1.9681 1.9558 1.9413 1.9247 1.9061 1.8857 1.8636 1.8399 1.8148 1.7885 1.7609 1.7323 1.7027 1.672 1.6403 1.6072 1.5709 0.62742 0.60546 0.58427 0.56113 0.53906 0.52067 0.50302 0.48377 0.4626 0.44152 0.42262 0.40597 0.39315 0.38104 0.3702 0.35871 0.3433 0.33063 0.31256 0.29985 0.29143 0.28384 0.27462 0.25944 0.2482 0.24202 0.23412 0.22002 0.21771 0.20351 0.20038 0.18815 0.1757 0.15049 0.11243 0
10 5 1 0.78037 0.79821 0.81602 0.87841 0.94111 1.0036 1.0655 1.1264 1.1857 1.2428 1.2975 1.3496 1.3987 1.4444 1.4869 1.5259 1.5613 1.593 1.6212 1.6458 1.667 1.6847 1.6991 1.7103 1.7185 1.7239 1.7265 1.7265 1.7242 1.7196 1.7129 1.7044 1.694 1.6819 1.6682 1.6531 1.6366 1.6188 1.5998 1.5797 1.5583 1.5361 1.5127 1.4883 1.4627 1.4355 1.4044 0.53925 0.52046 0.50075 0.48123 0.46413 0.44784 0.43144 0.41249 0.39359 0.37585 0.36149 0.34932 0.33878 0.32905 0.31953 0.3084 0.29493 0.28154 0.26684 0.25833 0.25084 0.24339 0.23547 0.22126 0.21393 0.20894 0.20112 0.18833 0.1868 0.17515 0.17347 0.16233 0.15348 0.13189 0.099715 0
% Consumption Choices
tb_az_c = ff_summ_nd_array("MEAN(c(KM,J) - c(KM,J | unemp))", cons_VFI_unemp_drop, true, ["mean"], 3, 1, cl_mp_datasetdesc, ar_permute);
xxx MEAN(c(KM,J) - c(KM,J | unemp)) xxxxxxxxxxxxxxxxxxxxxxxxxxx
group kids marry mean_age_18 mean_age_19 mean_age_20 mean_age_21 mean_age_22 mean_age_23 mean_age_24 mean_age_25 mean_age_26 mean_age_27 mean_age_28 mean_age_29 mean_age_30 mean_age_31 mean_age_32 mean_age_33 mean_age_34 mean_age_35 mean_age_36 mean_age_37 mean_age_38 mean_age_39 mean_age_40 mean_age_41 mean_age_42 mean_age_43 mean_age_44 mean_age_45 mean_age_46 mean_age_47 mean_age_48 mean_age_49 mean_age_50 mean_age_51 mean_age_52 mean_age_53 mean_age_54 mean_age_55 mean_age_56 mean_age_57 mean_age_58 mean_age_59 mean_age_60 mean_age_61 mean_age_62 mean_age_63 mean_age_64 mean_age_65 mean_age_66 mean_age_67 mean_age_68 mean_age_69 mean_age_70 mean_age_71 mean_age_72 mean_age_73 mean_age_74 mean_age_75 mean_age_76 mean_age_77 mean_age_78 mean_age_79 mean_age_80 mean_age_81 mean_age_82 mean_age_83 mean_age_84 mean_age_85 mean_age_86 mean_age_87 mean_age_88 mean_age_89 mean_age_90 mean_age_91 mean_age_92 mean_age_93 mean_age_94 mean_age_95 mean_age_96 mean_age_97 mean_age_98 mean_age_99 mean_age_100
_____ ____ _____ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ____________
1 1 0 0.049956 0.052643 0.055802 0.056135 0.05627 0.05629 0.0562 0.05608 0.056041 0.055997 0.055947 0.055989 0.056061 0.056199 0.056412 0.056501 0.056743 0.056949 0.057078 0.057269 0.057479 0.057605 0.057765 0.057859 0.057959 0.058045 0.058055 0.058118 0.058175 0.058244 0.05824 0.058259 0.058305 0.058304 0.058338 0.058387 0.058458 0.058521 0.058615 0.05871 0.058871 0.05916 0.059433 0.059853 0.06028 0.061026 0.062243 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 2 0 0.05592 0.059662 0.064032 0.065053 0.065864 0.066379 0.066747 0.067007 0.067191 0.067294 0.067416 0.067478 0.067563 0.067672 0.067756 0.067833 0.067899 0.067978 0.06803 0.067947 0.067894 0.067827 0.067723 0.067532 0.067286 0.067011 0.066746 0.066461 0.06617 0.065855 0.065563 0.065285 0.065068 0.064886 0.064763 0.064621 0.064681 0.064694 0.064822 0.065005 0.065354 0.065748 0.066239 0.066868 0.067119 0.06815 0.069918 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 3 0 0.062441 0.066796 0.071572 0.073013 0.074107 0.074921 0.075505 0.075911 0.076188 0.076364 0.076456 0.076584 0.076579 0.076585 0.076583 0.076544 0.076472 0.076406 0.076265 0.076062 0.0758 0.075506 0.075148 0.074705 0.074138 0.073558 0.072928 0.072287 0.071557 0.070815 0.070021 0.069345 0.068694 0.068209 0.067843 0.067558 0.067374 0.067371 0.067465 0.067732 0.068051 0.068565 0.069171 0.069795 0.070275 0.071381 0.074034 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4 4 0 0.066548 0.071126 0.076127 0.077784 0.07908 0.080043 0.08075 0.081253 0.081603 0.081886 0.082108 0.082189 0.082215 0.082281 0.08223 0.082235 0.082147 0.081991 0.081834 0.081597 0.081307 0.080897 0.080406 0.079821 0.079206 0.078457 0.077553 0.076551 0.075487 0.074443 0.073361 0.072328 0.071307 0.070426 0.06967 0.069184 0.068894 0.068768 0.068773 0.068978 0.069344 0.069946 0.070654 0.071281 0.072007 0.074597 0.079339 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
5 5 0 0.070592 0.075167 0.080271 0.082051 0.083363 0.084315 0.084979 0.085419 0.085691 0.085802 0.085878 0.085867 0.085801 0.085692 0.085587 0.085391 0.085249 0.08504 0.084736 0.084395 0.084008 0.083556 0.082986 0.08233 0.081526 0.080695 0.079775 0.078685 0.07748 0.076165 0.074929 0.073671 0.072555 0.071495 0.070647 0.069906 0.069561 0.069363 0.069292 0.069502 0.069812 0.070304 0.071071 0.071757 0.073529 0.076926 0.081597 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
6 1 1 0.091533 0.09707 0.10273 0.10671 0.11016 0.11335 0.11625 0.11887 0.12131 0.12364 0.12576 0.12766 0.12937 0.13086 0.13219 0.13339 0.13452 0.1355 0.13638 0.13713 0.13771 0.13818 0.1385 0.13865 0.13864 0.1385 0.13824 0.13782 0.13723 0.13656 0.13576 0.13485 0.13385 0.1328 0.13156 0.13037 0.12915 0.12788 0.12668 0.12559 0.12456 0.12371 0.12303 0.12277 0.12269 0.12327 0.12565 0.04403 0.043629 0.042426 0.041684 0.040274 0.038455 0.037269 0.036559 0.038267 0.040395 0.038916 0.038991 0.04246 0.046609 0.048317 0.046965 0.045809 0.044334 0.041649 0.042837 0.045147 0.051333 0.049075 0.047713 0.047466 0.055773 0.056912 0.0547 0.063934 0.063776 0.072772 0.079288 0.086887 0.10371 0.13899 0.24877
7 2 1 0.087319 0.093037 0.098883 0.10344 0.10744 0.11122 0.11464 0.11778 0.12077 0.12351 0.12608 0.12849 0.13076 0.13288 0.13485 0.13659 0.13814 0.13949 0.14059 0.14152 0.14223 0.14269 0.14295 0.14304 0.14287 0.14249 0.14189 0.14109 0.14011 0.13893 0.13762 0.1362 0.13472 0.13317 0.13167 0.13022 0.12883 0.12756 0.12646 0.12555 0.12485 0.12437 0.12412 0.12401 0.12422 0.12484 0.12743 0.047849 0.045474 0.044269 0.043065 0.04266 0.042742 0.044914 0.044837 0.043752 0.043714 0.047072 0.051276 0.052593 0.051732 0.049747 0.047129 0.04431 0.043198 0.045002 0.051906 0.053888 0.051577 0.049961 0.050941 0.059994 0.059391 0.057504 0.06549 0.066582 0.070914 0.072822 0.079158 0.089538 0.11035 0.14496 0.25005
8 3 1 0.089145 0.09428 0.10003 0.10457 0.1086 0.11245 0.11598 0.11915 0.12214 0.1249 0.12743 0.12979 0.13198 0.134 0.13582 0.13742 0.13888 0.14013 0.14113 0.14199 0.14259 0.14306 0.14322 0.14313 0.1428 0.14228 0.14155 0.1406 0.13947 0.13816 0.13673 0.13522 0.1337 0.13218 0.13068 0.12922 0.12795 0.12686 0.12582 0.12497 0.12432 0.12384 0.12344 0.12326 0.12311 0.12347 0.12611 0.050385 0.04876 0.047846 0.048244 0.050002 0.050728 0.048988 0.047524 0.048713 0.052303 0.05502 0.056995 0.055728 0.053612 0.050278 0.047198 0.04707 0.047931 0.052916 0.057571 0.056241 0.053994 0.052639 0.057334 0.064205 0.062368 0.062352 0.071341 0.0687 0.077371 0.076262 0.083736 0.094603 0.11781 0.15228 0.25975
9 4 1 0.095251 0.099402 0.10424 0.10703 0.1095 0.11209 0.11488 0.11746 0.12011 0.12262 0.12481 0.12692 0.12889 0.1307 0.13231 0.13377 0.13502 0.13616 0.1371 0.13781 0.13832 0.13868 0.13877 0.13865 0.13835 0.13787 0.13722 0.13639 0.13539 0.13426 0.13296 0.13163 0.13024 0.12882 0.12745 0.12612 0.12486 0.12372 0.12267 0.12165 0.12085 0.12001 0.11931 0.11877 0.11849 0.11883 0.12166 0.051825 0.051576 0.05099 0.052834 0.054127 0.052302 0.050343 0.050592 0.053415 0.056807 0.058686 0.058994 0.056163 0.053299 0.049845 0.047723 0.050198 0.050587 0.057042 0.058778 0.056856 0.054731 0.054848 0.061523 0.064856 0.063709 0.064855 0.072761 0.069427 0.078534 0.077126 0.085345 0.094337 0.11662 0.15231 0.26291
10 5 1 0.1016 0.10608 0.11098 0.11351 0.11573 0.11766 0.11934 0.12053 0.12171 0.12281 0.1238 0.12463 0.12552 0.12637 0.12714 0.12778 0.12838 0.1289 0.12936 0.12965 0.12982 0.12989 0.12979 0.12953 0.12913 0.12855 0.12785 0.127 0.12599 0.12482 0.12353 0.12212 0.12062 0.11911 0.11757 0.11596 0.11445 0.11299 0.11165 0.11035 0.1093 0.1082 0.10736 0.10671 0.10654 0.10705 0.11072 0.045433 0.045124 0.046096 0.047289 0.046518 0.045428 0.044945 0.047559 0.050675 0.053192 0.052909 0.051022 0.048085 0.044932 0.042162 0.041576 0.043915 0.046738 0.051438 0.050504 0.0491 0.048193 0.048273 0.055165 0.05569 0.05437 0.056382 0.063836 0.060519 0.067786 0.065554 0.073249 0.079114 0.098191 0.12832 0.22646 Graph Mean Values Change:
mp_support_graph('cl_st_graph_title') = {'MEAN(v(KM,J) - v(KM,J|unemp), a=age, z=kids+marry'};
mp_support_graph('cl_st_ytitle') = {'MEAN(v(KM,J) - v(KM,J|unemp)'};
ff_graph_grid((tb_az_v{1:end, 4:end}), ar_row_grid, age_grid, mp_support_graph);
Graph Mean Savings Choices Change:
mp_support_graph('cl_st_graph_title') = {'MEAN(ap(KM,J) - ap(KM,J|unemp)), a=x, z=color'};
mp_support_graph('cl_st_ytitle') = {'MEAN(ap(KM,J) - ap(KM,J|unemp))'};
ff_graph_grid((tb_az_ap{1:end, 4:end}), ar_row_grid, age_grid, mp_support_graph);
Graph Mean Consumption Change:
mp_support_graph('cl_st_graph_title') = {'MEAN(c(KM,J) - c(KM,J|unemp)), a=x, z=color'};
mp_support_graph('cl_st_ytitle') = {'MEAN(c(KM,J) - c(KM,J|unemp))'};
ff_graph_grid((tb_az_c{1:end, 4:end}), ar_row_grid, age_grid, mp_support_graph);
1.5 Analyze Education and Marriage and Age
Aggregating over education, savings, and shocks, what are the differential effects of Marriage and Age.
% Generate some Data
mp_support_graph = containers.Map('KeyType', 'char', 'ValueType', 'any');
ar_row_grid = ["E0M0", "E1M0", "E0M1", "E1M1"];
mp_support_graph('cl_st_xtitle') = {'Age'};
mp_support_graph('st_legend_loc') = 'best';
mp_support_graph('bl_graph_logy') = true; % do not log
mp_support_graph('st_rounding') = '6.2f'; % format shock legend
mp_support_graph('cl_scatter_shapes') = {'*', 'p', '*','p' };
mp_support_graph('cl_colors') = {'red', 'red', 'blue', 'blue'};MEAN(v(EKM,J) - v(EKM,J|unemp)), MEAN(ap(EM,J) - ap(EM,J|unemp)), MEAN(c(EM,J) - c(EM,J|unemp))
Tabulate value and policies:
% Set
% NaN(n_jgrid,n_agrid,n_etagrid,n_educgrid,n_marriedgrid,n_kidsgrid);
ar_permute = [2,3,6,1,4,5];
% Value Function
tb_az_v = ff_summ_nd_array("MEAN(v(EM,J) - v(EM,J|unemp))", V_VFI_unemp_drop, true, ["mean"], 3, 1, cl_mp_datasetdesc, ar_permute);
xxx MEAN(v(EM,J) - v(EM,J|unemp)) xxxxxxxxxxxxxxxxxxxxxxxxxxx
group edu marry mean_age_18 mean_age_19 mean_age_20 mean_age_21 mean_age_22 mean_age_23 mean_age_24 mean_age_25 mean_age_26 mean_age_27 mean_age_28 mean_age_29 mean_age_30 mean_age_31 mean_age_32 mean_age_33 mean_age_34 mean_age_35 mean_age_36 mean_age_37 mean_age_38 mean_age_39 mean_age_40 mean_age_41 mean_age_42 mean_age_43 mean_age_44 mean_age_45 mean_age_46 mean_age_47 mean_age_48 mean_age_49 mean_age_50 mean_age_51 mean_age_52 mean_age_53 mean_age_54 mean_age_55 mean_age_56 mean_age_57 mean_age_58 mean_age_59 mean_age_60 mean_age_61 mean_age_62 mean_age_63 mean_age_64 mean_age_65 mean_age_66 mean_age_67 mean_age_68 mean_age_69 mean_age_70 mean_age_71 mean_age_72 mean_age_73 mean_age_74 mean_age_75 mean_age_76 mean_age_77 mean_age_78 mean_age_79 mean_age_80 mean_age_81 mean_age_82 mean_age_83 mean_age_84 mean_age_85 mean_age_86 mean_age_87 mean_age_88 mean_age_89 mean_age_90 mean_age_91 mean_age_92 mean_age_93 mean_age_94 mean_age_95 mean_age_96 mean_age_97 mean_age_98 mean_age_99 mean_age_100
_____ ___ _____ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ____________
1 0 0 0.98417 0.96522 0.94504 0.92586 0.90827 0.89213 0.87731 0.8637 0.85119 0.83969 0.82914 0.81948 0.81064 0.80259 0.79527 0.78865 0.78269 0.77739 0.7727 0.76862 0.76514 0.76224 0.75993 0.75821 0.7571 0.7566 0.75675 0.75757 0.75913 0.76149 0.76474 0.76897 0.77433 0.78101 0.78928 0.7995 0.81218 0.82799 0.8479 0.87335 0.90656 0.95124 1.0143 1.1088 1.2608 1.5459 2.327 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 1 0 0.90037 0.87569 0.84826 0.8121 0.78137 0.75521 0.7329 0.71387 0.69761 0.68373 0.67187 0.66174 0.6531 0.64576 0.63953 0.63428 0.62989 0.62626 0.62331 0.62098 0.61923 0.618 0.61729 0.61706 0.61732 0.61807 0.61932 0.62111 0.62348 0.62649 0.63022 0.63476 0.64026 0.64689 0.65492 0.66468 0.67666 0.69149 0.71011 0.7339 0.765 0.80703 0.86641 0.95499 1.0982 1.3733 2.1433 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 0 1 1.0511 1.0316 1.0114 0.99333 0.97709 0.96249 0.94936 0.93765 0.92726 0.918 0.9098 0.90264 0.89644 0.89111 0.88657 0.88279 0.87971 0.87731 0.87552 0.8743 0.87364 0.87351 0.87389 0.87477 0.87614 0.878 0.88035 0.88322 0.88664 0.89064 0.89528 0.90061 0.90673 0.91376 0.92192 0.93147 0.94276 0.9563 0.97274 0.99307 1.0187 1.0519 1.0963 1.1588 1.2535 1.4158 1.78 0.77027 0.75191 0.7332 0.71463 0.69586 0.67658 0.65719 0.63783 0.61847 0.59873 0.57889 0.55913 0.53943 0.51946 0.49959 0.47985 0.46026 0.4407 0.4214 0.4028 0.38493 0.36761 0.35075 0.33459 0.31937 0.30508 0.29142 0.27828 0.2657 0.25359 0.24178 0.22954 0.21492 0.194 0.16159 0.10497
4 1 1 0.9471 0.92052 0.89256 0.86506 0.84177 0.8221 0.80538 0.79125 0.77933 0.7693 0.76091 0.75394 0.74819 0.74353 0.73982 0.73694 0.73481 0.73334 0.73247 0.73214 0.73231 0.73295 0.73401 0.7355 0.73738 0.73967 0.74235 0.74545 0.74899 0.75302 0.75758 0.76274 0.76858 0.77523 0.78288 0.79179 0.8023 0.81487 0.83015 0.84904 0.87291 0.9039 0.94563 1.0047 1.0949 1.2516 1.6106 0.68981 0.67381 0.65734 0.64047 0.62368 0.60689 0.58972 0.57223 0.55474 0.53747 0.51984 0.50199 0.48419 0.4665 0.44863 0.43076 0.41315 0.39578 0.37857 0.36177 0.34557 0.3301 0.31517 0.30073 0.28703 0.27406 0.26171 0.24987 0.23846 0.22745 0.21674 0.20558 0.19224 0.17315 0.14401 0.093346
% Aprime Choice
tb_az_ap = ff_summ_nd_array("MEAN(ap(EM,J) - ap(EM,J|unemp))", ap_VFI_unemp_drop, true, ["mean"], 3, 1, cl_mp_datasetdesc, ar_permute);
xxx MEAN(ap(EM,J) - ap(EM,J|unemp)) xxxxxxxxxxxxxxxxxxxxxxxxxxx
group edu marry mean_age_18 mean_age_19 mean_age_20 mean_age_21 mean_age_22 mean_age_23 mean_age_24 mean_age_25 mean_age_26 mean_age_27 mean_age_28 mean_age_29 mean_age_30 mean_age_31 mean_age_32 mean_age_33 mean_age_34 mean_age_35 mean_age_36 mean_age_37 mean_age_38 mean_age_39 mean_age_40 mean_age_41 mean_age_42 mean_age_43 mean_age_44 mean_age_45 mean_age_46 mean_age_47 mean_age_48 mean_age_49 mean_age_50 mean_age_51 mean_age_52 mean_age_53 mean_age_54 mean_age_55 mean_age_56 mean_age_57 mean_age_58 mean_age_59 mean_age_60 mean_age_61 mean_age_62 mean_age_63 mean_age_64 mean_age_65 mean_age_66 mean_age_67 mean_age_68 mean_age_69 mean_age_70 mean_age_71 mean_age_72 mean_age_73 mean_age_74 mean_age_75 mean_age_76 mean_age_77 mean_age_78 mean_age_79 mean_age_80 mean_age_81 mean_age_82 mean_age_83 mean_age_84 mean_age_85 mean_age_86 mean_age_87 mean_age_88 mean_age_89 mean_age_90 mean_age_91 mean_age_92 mean_age_93 mean_age_94 mean_age_95 mean_age_96 mean_age_97 mean_age_98 mean_age_99 mean_age_100
_____ ___ _____ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ____________
1 0 0 0.54413 0.54211 0.53973 0.56238 0.58448 0.60603 0.62693 0.64717 0.66665 0.6854 0.70332 0.72047 0.73682 0.7523 0.76697 0.78083 0.79384 0.806 0.81739 0.82801 0.8378 0.84682 0.8551 0.86264 0.86942 0.87547 0.88082 0.88546 0.8894 0.89258 0.89501 0.89672 0.89764 0.89776 0.897 0.89548 0.89309 0.88986 0.88585 0.88088 0.87517 0.86849 0.86097 0.85252 0.84323 0.83219 0.81921 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 1 0 0.52244 0.51648 0.50989 0.56245 0.61559 0.66865 0.72106 0.77223 0.82169 0.86903 0.91393 0.95609 0.99536 1.0316 1.0646 1.0946 1.1215 1.1454 1.1664 1.1847 1.2004 1.2137 1.2248 1.2338 1.2411 1.2466 1.2506 1.2532 1.2546 1.255 1.2544 1.2528 1.2504 1.2472 1.2433 1.2386 1.2332 1.2271 1.2203 1.2129 1.2046 1.1956 1.1857 1.1752 1.1636 1.1499 1.1338 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 0 1 0.93049 0.95921 0.9882 1.0448 1.1013 1.1573 1.2125 1.2668 1.3197 1.3709 1.4204 1.4678 1.5129 1.5554 1.5953 1.6324 1.6665 1.6975 1.7253 1.7499 1.7712 1.7893 1.8042 1.8158 1.8243 1.8297 1.8322 1.8317 1.8285 1.8227 1.8143 1.8035 1.7904 1.7752 1.7579 1.7388 1.7178 1.6952 1.671 1.6454 1.6184 1.5904 1.5612 1.5309 1.4997 1.4672 1.4323 0.52947 0.51204 0.49388 0.47555 0.45854 0.44228 0.42577 0.40922 0.39207 0.37499 0.3593 0.34504 0.33253 0.3208 0.31053 0.3011 0.29025 0.27926 0.26606 0.255 0.24657 0.23938 0.23243 0.22111 0.21181 0.205 0.19911 0.1883 0.18298 0.17312 0.16881 0.15897 0.14838 0.1284 0.095069 0
4 1 1 0.99745 1.0306 1.0639 1.1617 1.2608 1.36 1.4584 1.5554 1.6499 1.7412 1.8287 1.9117 1.9898 2.0626 2.1297 2.191 2.2461 2.2951 2.338 2.3748 2.4057 2.4308 2.4503 2.4645 2.4736 2.4779 2.4777 2.4734 2.4651 2.4533 2.4383 2.4202 2.3994 2.3761 2.3505 2.3229 2.2935 2.2623 2.2296 2.1956 2.1602 2.1236 2.0859 2.0471 2.0072 1.9657 1.9208 0.66409 0.64137 0.61937 0.59669 0.57408 0.55355 0.53411 0.51437 0.4936 0.47247 0.45337 0.43476 0.41844 0.4037 0.39078 0.37827 0.36428 0.35137 0.33641 0.32123 0.31018 0.29948 0.29117 0.2792 0.26567 0.25722 0.24932 0.23633 0.23053 0.21904 0.21226 0.2 0.18654 0.16009 0.12084 0
% Consumption Choices
tb_az_c = ff_summ_nd_array("MEAN(c(EM,J) - c(EM,J|unemp))", cons_VFI_unemp_drop, true, ["mean"], 3, 1, cl_mp_datasetdesc, ar_permute);
xxx MEAN(c(EM,J) - c(EM,J|unemp)) xxxxxxxxxxxxxxxxxxxxxxxxxxx
group edu marry mean_age_18 mean_age_19 mean_age_20 mean_age_21 mean_age_22 mean_age_23 mean_age_24 mean_age_25 mean_age_26 mean_age_27 mean_age_28 mean_age_29 mean_age_30 mean_age_31 mean_age_32 mean_age_33 mean_age_34 mean_age_35 mean_age_36 mean_age_37 mean_age_38 mean_age_39 mean_age_40 mean_age_41 mean_age_42 mean_age_43 mean_age_44 mean_age_45 mean_age_46 mean_age_47 mean_age_48 mean_age_49 mean_age_50 mean_age_51 mean_age_52 mean_age_53 mean_age_54 mean_age_55 mean_age_56 mean_age_57 mean_age_58 mean_age_59 mean_age_60 mean_age_61 mean_age_62 mean_age_63 mean_age_64 mean_age_65 mean_age_66 mean_age_67 mean_age_68 mean_age_69 mean_age_70 mean_age_71 mean_age_72 mean_age_73 mean_age_74 mean_age_75 mean_age_76 mean_age_77 mean_age_78 mean_age_79 mean_age_80 mean_age_81 mean_age_82 mean_age_83 mean_age_84 mean_age_85 mean_age_86 mean_age_87 mean_age_88 mean_age_89 mean_age_90 mean_age_91 mean_age_92 mean_age_93 mean_age_94 mean_age_95 mean_age_96 mean_age_97 mean_age_98 mean_age_99 mean_age_100
_____ ___ _____ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ____________
1 0 0 0.050247 0.052266 0.054642 0.055442 0.05623 0.056944 0.057626 0.058248 0.058862 0.059403 0.059941 0.060411 0.060814 0.061205 0.061526 0.061769 0.061986 0.062165 0.062241 0.062227 0.062189 0.062079 0.061869 0.061595 0.061267 0.060882 0.060419 0.059891 0.059311 0.058734 0.058156 0.057574 0.057038 0.056566 0.056247 0.055944 0.055774 0.055707 0.055663 0.055821 0.055955 0.056275 0.056648 0.057155 0.057683 0.059134 0.061691 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 1 0 0.071936 0.077892 0.08448 0.086172 0.087244 0.087835 0.088046 0.08802 0.087824 0.087534 0.087181 0.086831 0.086474 0.086166 0.085901 0.085633 0.085418 0.08518 0.084936 0.084681 0.084407 0.084078 0.083742 0.083304 0.082778 0.082225 0.081604 0.08095 0.080237 0.079474 0.07869 0.077981 0.077334 0.076762 0.076258 0.075919 0.075814 0.07578 0.075924 0.07615 0.076618 0.077215 0.077979 0.078667 0.0796 0.081697 0.085161 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 0 1 0.079086 0.082612 0.086438 0.089119 0.091706 0.09429 0.096828 0.099249 0.10165 0.10401 0.1062 0.10822 0.11017 0.11197 0.11362 0.11507 0.11634 0.11748 0.11842 0.11921 0.11979 0.12019 0.12041 0.12045 0.12028 0.11994 0.11945 0.1188 0.11798 0.11703 0.11596 0.11482 0.11359 0.11236 0.11112 0.10987 0.10869 0.10757 0.10653 0.10558 0.10476 0.10397 0.10332 0.10279 0.10247 0.1026 0.10463 0.041435 0.040224 0.04009 0.040541 0.040104 0.039384 0.039425 0.040027 0.041767 0.043987 0.045378 0.045919 0.045271 0.04443 0.042695 0.040691 0.040674 0.041344 0.044783 0.046631 0.046371 0.045395 0.0447 0.048874 0.051528 0.052186 0.052393 0.058004 0.058588 0.064168 0.06466 0.071134 0.078811 0.096337 0.12767 0.2212
4 1 1 0.10685 0.11333 0.12031 0.12499 0.12887 0.13241 0.13561 0.13827 0.14076 0.14298 0.14495 0.14678 0.14844 0.14995 0.15131 0.15251 0.15363 0.1546 0.1554 0.15603 0.15648 0.15681 0.15688 0.15675 0.15643 0.15594 0.15525 0.15436 0.15329 0.15206 0.15067 0.14919 0.14766 0.14607 0.14446 0.14289 0.1414 0.14003 0.13879 0.13767 0.13679 0.13608 0.13559 0.13541 0.13555 0.13639 0.14 0.054373 0.053601 0.052561 0.052705 0.053328 0.052479 0.051159 0.050802 0.052161 0.054577 0.055664 0.056992 0.056741 0.055644 0.053445 0.051545 0.051847 0.051771 0.054435 0.058007 0.058122 0.058536 0.057219 0.060196 0.065356 0.066059 0.066809 0.073247 0.073078 0.079184 0.081154 0.089176 0.098981 0.12234 0.15907 0.27798 Graph Mean Values Change:
mp_support_graph('cl_st_graph_title') = {'MEAN(v(EM,J) - v(EM,J|unemp)), a=age, z=kids+marry'};
mp_support_graph('cl_st_ytitle') = {'MEAN(v(EM,J) - v(EM,J|unemp))'};
ff_graph_grid((tb_az_v{1:end, 4:end}), ar_row_grid, age_grid, mp_support_graph);
Graph Mean Savings Choices Change:
mp_support_graph('cl_st_graph_title') = {'MEAN(ap(EM,J) - ap(EM,J|unemp)), a=x, z=color'};
mp_support_graph('cl_st_ytitle') = {'MEAN(ap(EM,J) - ap(EM,J|unemp))'};
ff_graph_grid((tb_az_ap{1:end, 4:end}), ar_row_grid, age_grid, mp_support_graph);
Graph Mean Consumption Change:
mp_support_graph('cl_st_graph_title') = {'MEAN(c(EM,J) - c(EM,J|unemp)), a=x, z=color'};
mp_support_graph('cl_st_ytitle') = {'MEAN(c(EM,J) - c(EM,J|unemp))'};
ff_graph_grid((tb_az_c{1:end, 4:end}), ar_row_grid, age_grid, mp_support_graph);
