1 Life Cycle Dynamic Programming with Marital Status, Children and Savings
This is the example vignette for function: snw_vfi_main_bisec_vec from the PrjOptiSNW Package. This function solves for policy function with vectorized bisection. Value function during COVIDless year.
1.1 Test SNW_VFI_MAIN_BISECT_VEC Defaults
Call the function with defaults.
mp_param = snw_mp_param('default_docdense');
[V_VFI,ap_VFI,cons_VFI] = snw_vfi_main_bisec_vec(mp_param);
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:83 of 82, time-this-age:9.6616
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:82 of 82, time-this-age:6.0665
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:81 of 82, time-this-age:6.0938
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:80 of 82, time-this-age:6.1322
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:79 of 82, time-this-age:5.731
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:78 of 82, time-this-age:5.9587
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:77 of 82, time-this-age:6.0286
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:76 of 82, time-this-age:6.0378
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:75 of 82, time-this-age:5.7227
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:74 of 82, time-this-age:6.0347
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:73 of 82, time-this-age:6.0197
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:72 of 82, time-this-age:6.0294
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:71 of 82, time-this-age:5.7663
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:70 of 82, time-this-age:5.7878
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:69 of 82, time-this-age:5.9087
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:68 of 82, time-this-age:5.9625
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:67 of 82, time-this-age:5.9427
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:66 of 82, time-this-age:5.526
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:65 of 82, time-this-age:5.9574
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:64 of 82, time-this-age:5.9754
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:63 of 82, time-this-age:5.9528
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:62 of 82, time-this-age:5.7483
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:61 of 82, time-this-age:6.0225
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:60 of 82, time-this-age:6.091
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:59 of 82, time-this-age:6.0448
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:58 of 82, time-this-age:6.0445
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:57 of 82, time-this-age:5.5331
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:56 of 82, time-this-age:6.0133
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:55 of 82, time-this-age:5.9281
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:54 of 82, time-this-age:5.9348
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:53 of 82, time-this-age:5.576
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:52 of 82, time-this-age:5.9723
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:51 of 82, time-this-age:6.1292
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:50 of 82, time-this-age:5.983
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:49 of 82, time-this-age:5.8518
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:48 of 82, time-this-age:5.6741
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:47 of 82, time-this-age:6.0199
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:46 of 82, time-this-age:6.0128
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:45 of 82, time-this-age:6.2299
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:44 of 82, time-this-age:5.8858
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:43 of 82, time-this-age:6.0074
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:42 of 82, time-this-age:6.1082
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:41 of 82, time-this-age:6.1896
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:40 of 82, time-this-age:5.9484
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:39 of 82, time-this-age:5.7184
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:38 of 82, time-this-age:6.0237
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:37 of 82, time-this-age:6.0886
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:36 of 82, time-this-age:5.9999
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:35 of 82, time-this-age:5.8859
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:34 of 82, time-this-age:6.089
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:33 of 82, time-this-age:6.0487
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:32 of 82, time-this-age:5.972
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:31 of 82, time-this-age:6.0053
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:30 of 82, time-this-age:5.671
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:29 of 82, time-this-age:5.8975
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:28 of 82, time-this-age:6.0471
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:27 of 82, time-this-age:6.0284
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:26 of 82, time-this-age:6.03
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:25 of 82, time-this-age:6.0227
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:24 of 82, time-this-age:5.9344
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:23 of 82, time-this-age:6.0962
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:22 of 82, time-this-age:6.1112
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:21 of 82, time-this-age:5.6128
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:20 of 82, time-this-age:6.0994
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:19 of 82, time-this-age:5.9906
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:18 of 82, time-this-age:5.9374
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:17 of 82, time-this-age:5.9326
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:16 of 82, time-this-age:5.6032
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:15 of 82, time-this-age:6.0086
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:14 of 82, time-this-age:6.0024
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:13 of 82, time-this-age:6.0767
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:12 of 82, time-this-age:5.8031
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:11 of 82, time-this-age:6.012
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:10 of 82, time-this-age:6.0142
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:9 of 82, time-this-age:5.9887
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:8 of 82, time-this-age:6.0433
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:7 of 82, time-this-age:5.5764
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:6 of 82, time-this-age:5.9101
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:5 of 82, time-this-age:5.9695
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:4 of 82, time-this-age:5.9063
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:3 of 82, time-this-age:5.7645
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:2 of 82, time-this-age:5.8967
SNW_VFI_MAIN_BISEC_VEC: Finished Age Group:1 of 82, time-this-age:6.0414
Completed SNW_VFI_MAIN_BISEC_VEC;SNW_MP_PARAM=default_docdense;SNW_MP_CONTROL=default_base;time=497.6211.2 Define Parameters
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_param('agrid')';
eta_H_grid = mp_param('eta_H_grid')';
eta_S_grid = mp_param('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_param('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') = 21; % how many shock legends to show
mp_support_graph('cl_colors') = 'jet';MEAN(VAL(A,Z)), MEAN(AP(A,Z)), MEAN(C(A,Z))
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(VAL(A,Z))", V_VFI, true, ["mean"], 4, 1, cl_mp_datasetdesc, ar_permute);
xxx MEAN(VAL(A,Z)) 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
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2 0.00051498 -121.79 -118.9 -115.66 -112.23 -108.72 -105.24 -101.84 -98.552 -95.386 -92.351 -89.449 -86.676 -84.03 -81.505 -79.095 -76.795 -74.599 -72.501 -70.496 -68.578 -66.742 -64.983 -63.295 -61.675 -60.118 -58.621 -57.179 -55.789 -54.448 -53.154 -51.903 -50.694 -49.524 -48.392 -47.295 -46.232 -45.202 -44.203 -43.233 -42.292 -41.379 -40.493 -39.632 -38.796 -37.984 -37.196 -36.43 -35.686 -34.964 -34.263 -33.582 -32.921 -32.279 -31.657 -31.053 -30.467 -29.9 -29.35 -28.816 -28.3 -27.801 -27.317 -26.849 -26.397 -25.961 -25.539 -25.132 -24.739 -24.36 -23.995 -23.644 -23.307 -22.983 -22.672 -22.375 -22.093 -21.826 -21.577 -21.35 -21.15 -20.983 -118.72 -116.07 -113.05 -109.82 -106.51 -103.21 -99.972 -96.831 -93.804 -90.897 -88.111 -85.446 -82.898 -80.462 -78.134 -75.909 -73.781 -71.745 -69.795 -67.928 -66.138 -64.421 -62.771 -61.185 -59.659 -58.189 -56.772 -55.405 -54.084 -52.808 -51.574 -50.38 -49.223 -48.102 -47.016 -45.962 -44.94 -43.948 -42.986 -42.051 -41.143 -40.261 -39.404 -38.572 -37.764 -36.978 -36.215 -35.474 -34.753 -34.054 -33.375 -32.715 -32.075 -31.454 -30.851 -30.266 -29.699 -29.15 -28.618 -28.102 -27.603 -27.12 -26.653 -26.201 -25.765 -25.343 -24.937 -24.544 -24.166 -23.802 -23.451 -23.114 -22.79 -22.48 -22.183 -21.901 -21.634 -21.385 -21.158 -20.959 -20.792 -114.84 -112.36 -109.51 -106.44 -103.28 -100.13 -97.038 -94.038 -91.147 -88.369 -85.708 -83.161 -80.726 -78.399 -76.173 -74.045 -72.01 -70.061 -68.194 -66.404 -64.687 -63.038 -61.453 -59.927 -58.457 -57.04 -55.671 -54.349 -53.071 -51.833 -50.635 -49.474 -48.347 -47.255 -46.194 -45.164 -44.163 -43.191 -42.246 -41.328 -40.435 -39.567 -38.722 -37.901 -37.103 -36.327 -35.572 -34.838 -34.125 -33.432 -32.759 -32.105 -31.47 -30.853 -30.254 -29.674 -29.11 -28.564 -28.035 -27.523 -27.026 -26.546 -26.081 -25.631 -25.197 -24.778 -24.373 -23.982 -23.606 -23.243 -22.894 -22.558 -22.236 -21.927 -21.631 -21.35 -21.084 -20.836 -20.61 -20.411 -20.245 -110.17 -107.77 -105.01 -102.05 -98.997 -95.954 -92.973 -90.082 -87.298 -84.627 -82.07 -79.626 -77.292 -75.063 -72.935 -70.901 -68.957 -67.098 -65.319 -63.614 -61.979 -60.409 -58.901 -57.449 -56.05 -54.701 -53.399 -52.14 -50.922 -49.742 -48.598 -47.489 -46.413 -45.367 -44.351 -43.364 -42.404 -41.47 -40.561 -39.677 -38.816 -37.978 -37.163 -36.37 -35.597 -34.845 -34.114 -33.402 -32.71 -32.037 -31.382 -30.746 -30.127 -29.527 -28.943 -28.377 -27.827 -27.294 -26.778 -26.277 -25.791 -25.322 -24.867 -24.427 -24.002 -23.591 -23.195 -22.812 -22.443 -22.087 -21.744 -21.415 -21.098 -20.795 -20.504 -20.228 -19.967 -19.723 -19.501 -19.305 -19.142 -103.08 -100.73 -98.046 -95.163 -92.206 -89.259 -86.376 -83.586 -80.903 -78.333 -75.878 -73.536 -71.303 -69.175 -67.147 -65.213 -63.369 -61.608 -59.927 -58.319 -56.78 -55.305 -53.89 -52.531 -51.224 -49.966 -48.752 -47.581 -46.449 -45.355 -44.295 -43.268 -42.272 -41.306 -40.368 -39.457 -38.571 -37.71 -36.873 -36.059 -35.267 -34.497 -33.747 -33.017 -32.307 -31.617 -30.944 -30.29 -29.654 -29.036 -28.434 -27.849 -27.281 -26.728 -26.192 -25.671 -25.165 -24.674 -24.198 -23.737 -23.29 -22.856 -22.437 -22.031 -21.638 -21.258 -20.891 -20.536 -20.194 -19.864 -19.546 -19.24 -18.945 -18.662 -18.392 -18.134 -17.89 -17.662 -17.454 -17.271 -17.118
3 0.0041199 -120.77 -117.99 -114.85 -111.49 -108.07 -104.65 -101.31 -98.074 -94.955 -91.963 -89.097 -86.358 -83.741 -81.242 -78.855 -76.576 -74.398 -72.317 -70.326 -68.42 -66.595 -64.846 -63.167 -61.555 -60.005 -58.513 -57.076 -55.691 -54.354 -53.064 -51.816 -50.61 -49.443 -48.312 -47.217 -46.156 -45.127 -44.129 -43.161 -42.222 -41.309 -40.424 -39.564 -38.729 -37.918 -37.13 -36.364 -35.621 -34.899 -34.198 -33.518 -32.857 -32.216 -31.593 -30.99 -30.404 -29.837 -29.287 -28.754 -28.238 -27.738 -27.255 -26.787 -26.335 -25.899 -25.477 -25.07 -24.677 -24.299 -23.934 -23.583 -23.246 -22.922 -22.611 -22.314 -22.032 -21.765 -21.516 -21.289 -21.089 -20.922 -117.96 -115.38 -112.43 -109.26 -106.01 -102.75 -99.557 -96.455 -93.462 -90.586 -87.828 -85.187 -82.661 -80.245 -77.934 -75.724 -73.61 -71.587 -69.649 -67.792 -66.01 -64.301 -62.658 -61.078 -59.558 -58.093 -56.68 -55.317 -54 -52.727 -51.495 -50.303 -49.149 -48.03 -46.945 -45.893 -44.872 -43.882 -42.92 -41.986 -41.079 -40.198 -39.342 -38.511 -37.703 -36.918 -36.155 -35.414 -34.694 -33.995 -33.316 -32.657 -32.017 -31.396 -30.793 -30.209 -29.642 -29.093 -28.561 -28.046 -27.547 -27.064 -26.597 -26.145 -25.709 -25.288 -24.881 -24.489 -24.11 -23.746 -23.396 -23.058 -22.735 -22.424 -22.128 -21.846 -21.579 -21.33 -21.103 -20.903 -20.737 -114.24 -111.82 -109.02 -106 -102.89 -99.777 -96.721 -93.752 -90.888 -88.134 -85.494 -82.967 -80.549 -78.236 -76.024 -73.907 -71.882 -69.943 -68.084 -66.302 -64.591 -62.948 -61.367 -59.846 -58.38 -56.966 -55.601 -54.282 -53.006 -51.77 -50.574 -49.414 -48.29 -47.198 -46.139 -45.11 -44.111 -43.139 -42.195 -41.278 -40.385 -39.518 -38.674 -37.853 -37.056 -36.28 -35.525 -34.792 -34.079 -33.387 -32.714 -32.06 -31.425 -30.808 -30.21 -29.629 -29.066 -28.521 -27.991 -27.479 -26.983 -26.502 -26.038 -25.588 -25.154 -24.735 -24.33 -23.94 -23.563 -23.2 -22.851 -22.516 -22.193 -21.884 -21.589 -21.308 -21.042 -20.794 -20.568 -20.369 -20.203 -109.61 -107.26 -104.56 -101.64 -98.637 -95.632 -92.684 -89.823 -87.065 -84.416 -81.88 -79.454 -77.136 -74.921 -72.804 -70.781 -68.847 -66.997 -65.225 -63.527 -61.897 -60.333 -58.829 -57.381 -55.986 -54.64 -53.34 -52.083 -50.867 -49.689 -48.548 -47.44 -46.365 -45.32 -44.306 -43.319 -42.36 -41.427 -40.519 -39.635 -38.775 -37.938 -37.123 -36.33 -35.558 -34.807 -34.075 -33.364 -32.672 -31.999 -31.345 -30.709 -30.09 -29.49 -28.907 -28.341 -27.791 -27.258 -26.742 -26.241 -25.756 -25.286 -24.832 -24.392 -23.967 -23.556 -23.16 -22.777 -22.408 -22.052 -21.71 -21.38 -21.063 -20.76 -20.47 -20.194 -19.932 -19.689 -19.466 -19.27 -19.107 -102.52 -100.24 -97.607 -94.773 -91.857 -88.948 -86.098 -83.336 -80.679 -78.132 -75.697 -73.372 -71.155 -69.04 -67.024 -65.101 -63.266 -61.514 -59.84 -58.238 -56.705 -55.235 -53.825 -52.47 -51.166 -49.91 -48.699 -47.53 -46.401 -45.308 -44.249 -43.224 -42.229 -41.264 -40.327 -39.417 -38.532 -37.672 -36.836 -36.022 -35.231 -34.461 -33.711 -32.982 -32.272 -31.582 -30.91 -30.256 -29.621 -29.002 -28.401 -27.816 -27.248 -26.696 -26.159 -25.638 -25.133 -24.642 -24.166 -23.705 -23.258 -22.825 -22.405 -21.999 -21.606 -21.226 -20.86 -20.505 -20.163 -19.833 -19.515 -19.209 -18.914 -18.631 -18.361 -18.103 -17.859 -17.631 -17.423 -17.24 -17.087
4 0.013905 -118.46 -115.89 -112.94 -109.77 -106.5 -103.24 -100.03 -96.916 -93.906 -91.01 -88.232 -85.57 -83.023 -80.586 -78.254 -76.024 -73.891 -71.848 -69.892 -68.018 -66.22 -64.495 -62.838 -61.245 -59.712 -58.235 -56.812 -55.438 -54.112 -52.83 -51.591 -50.392 -49.231 -48.107 -47.017 -45.96 -44.936 -43.941 -42.976 -42.039 -41.13 -40.247 -39.389 -38.555 -37.746 -36.959 -36.195 -35.453 -34.733 -34.033 -33.353 -32.693 -32.052 -31.431 -30.828 -30.243 -29.676 -29.127 -28.594 -28.078 -27.579 -27.096 -26.629 -26.177 -25.741 -25.319 -24.912 -24.52 -24.141 -23.777 -23.426 -23.089 -22.765 -22.455 -22.158 -21.875 -21.609 -21.36 -21.132 -20.933 -20.766 -116.19 -113.76 -110.96 -107.92 -104.78 -101.63 -98.54 -95.528 -92.616 -89.813 -87.12 -84.538 -82.065 -79.696 -77.428 -75.257 -73.177 -71.185 -69.274 -67.442 -65.683 -63.993 -62.367 -60.803 -59.297 -57.844 -56.443 -55.089 -53.781 -52.516 -51.291 -50.106 -48.957 -47.843 -46.763 -45.715 -44.698 -43.71 -42.752 -41.82 -40.916 -40.037 -39.183 -38.353 -37.546 -36.763 -36.001 -35.261 -34.543 -33.844 -33.166 -32.508 -31.869 -31.248 -30.646 -30.062 -29.496 -28.947 -28.416 -27.901 -27.402 -26.92 -26.453 -26.002 -25.566 -25.144 -24.738 -24.346 -23.968 -23.604 -23.253 -22.916 -22.593 -22.283 -21.986 -21.704 -21.437 -21.189 -20.962 -20.762 -20.595 -112.84 -110.54 -107.86 -104.95 -101.94 -98.914 -95.938 -93.042 -90.241 -87.545 -84.957 -82.475 -80.098 -77.821 -75.642 -73.554 -71.555 -69.638 -67.8 -66.037 -64.342 -62.713 -61.146 -59.636 -58.18 -56.775 -55.418 -54.106 -52.836 -51.607 -50.415 -49.26 -48.14 -47.052 -45.996 -44.97 -43.973 -43.005 -42.063 -41.147 -40.257 -39.391 -38.548 -37.729 -36.933 -36.158 -35.405 -34.673 -33.961 -33.269 -32.596 -31.943 -31.309 -30.693 -30.095 -29.515 -28.953 -28.407 -27.879 -27.367 -26.871 -26.391 -25.926 -25.477 -25.043 -24.624 -24.22 -23.829 -23.453 -23.09 -22.741 -22.406 -22.083 -21.775 -21.479 -21.198 -20.933 -20.685 -20.459 -20.26 -20.094 -108.3 -106.08 -103.49 -100.67 -97.763 -94.845 -91.974 -89.182 -86.485 -83.891 -81.402 -79.02 -76.739 -74.558 -72.472 -70.476 -68.566 -66.736 -64.983 -63.301 -61.687 -60.135 -58.642 -57.204 -55.818 -54.48 -53.187 -51.937 -50.726 -49.553 -48.415 -47.312 -46.24 -45.199 -44.187 -43.203 -42.246 -41.315 -40.409 -39.527 -38.668 -37.833 -37.019 -36.227 -35.456 -34.706 -33.976 -33.265 -32.574 -31.902 -31.248 -30.613 -29.995 -29.395 -28.812 -28.247 -27.698 -27.165 -26.649 -26.149 -25.664 -25.194 -24.74 -24.301 -23.876 -23.465 -23.069 -22.686 -22.318 -21.962 -21.62 -21.29 -20.974 -20.67 -20.38 -20.104 -19.843 -19.599 -19.377 -19.181 -19.018 -101.25 -99.081 -96.563 -93.833 -91.012 -88.189 -85.415 -82.722 -80.125 -77.631 -75.244 -72.961 -70.782 -68.701 -66.714 -64.817 -63.005 -61.274 -59.617 -58.032 -56.513 -55.055 -53.656 -52.31 -51.015 -49.767 -48.562 -47.399 -46.274 -45.186 -44.132 -43.11 -42.118 -41.156 -40.221 -39.313 -38.431 -37.573 -36.738 -35.926 -35.136 -34.367 -33.619 -32.891 -32.182 -31.493 -30.822 -30.169 -29.534 -28.916 -28.315 -27.731 -27.163 -26.611 -26.076 -25.555 -25.05 -24.56 -24.084 -23.623 -23.176 -22.743 -22.324 -21.918 -21.526 -21.146 -20.779 -20.425 -20.083 -19.753 -19.435 -19.129 -18.835 -18.552 -18.282 -18.024 -17.78 -17.552 -17.344 -17.161 -17.008
5 0.032959 -115.01 -112.69 -110 -107.08 -104.04 -100.99 -97.981 -95.041 -92.192 -89.442 -86.796 -84.254 -81.814 -79.474 -77.231 -75.08 -73.017 -71.039 -69.14 -67.317 -65.565 -63.881 -62.26 -60.699 -59.195 -57.744 -56.344 -54.991 -53.683 -52.418 -51.193 -50.007 -48.858 -47.744 -46.663 -45.615 -44.598 -43.61 -42.651 -41.719 -40.815 -39.935 -39.081 -38.251 -37.445 -36.661 -35.9 -35.16 -34.441 -33.743 -33.065 -32.407 -31.768 -31.148 -30.546 -29.962 -29.396 -28.847 -28.316 -27.801 -27.302 -26.82 -26.353 -25.902 -25.466 -25.045 -24.638 -24.246 -23.868 -23.504 -23.154 -22.817 -22.493 -22.183 -21.886 -21.604 -21.337 -21.089 -20.862 -20.662 -20.495 -113.41 -111.17 -108.57 -105.72 -102.76 -99.787 -96.846 -93.975 -91.19 -88.502 -85.914 -83.426 -81.039 -78.748 -76.551 -74.443 -72.42 -70.479 -68.616 -66.825 -65.103 -63.447 -61.852 -60.315 -58.833 -57.402 -56.02 -54.684 -53.392 -52.14 -50.929 -49.754 -48.615 -47.511 -46.439 -45.398 -44.388 -43.406 -42.453 -41.526 -40.626 -39.751 -38.901 -38.074 -37.27 -36.489 -35.73 -34.993 -34.276 -33.579 -32.903 -32.246 -31.608 -30.989 -30.388 -29.805 -29.24 -28.692 -28.161 -27.647 -27.149 -26.667 -26.201 -25.75 -25.315 -24.894 -24.488 -24.096 -23.719 -23.355 -23.005 -22.668 -22.345 -22.035 -21.738 -21.457 -21.19 -20.942 -20.715 -20.515 -20.349 -110.58 -108.44 -105.93 -103.18 -100.32 -97.439 -94.593 -91.813 -89.118 -86.516 -84.013 -81.607 -79.299 -77.084 -74.96 -72.923 -70.968 -69.091 -67.289 -65.558 -63.892 -62.289 -60.744 -59.254 -57.817 -56.428 -55.085 -53.786 -52.528 -51.309 -50.127 -48.981 -47.868 -46.787 -45.737 -44.717 -43.725 -42.761 -41.824 -40.912 -40.025 -39.162 -38.323 -37.506 -36.712 -35.94 -35.189 -34.458 -33.748 -33.058 -32.387 -31.735 -31.102 -30.487 -29.89 -29.311 -28.75 -28.205 -27.677 -27.166 -26.67 -26.191 -25.727 -25.279 -24.845 -24.427 -24.023 -23.632 -23.257 -22.894 -22.546 -22.21 -21.888 -21.58 -21.284 -21.004 -20.738 -20.491 -20.265 -20.066 -19.9 -106.21 -104.14 -101.71 -99.052 -96.289 -93.506 -90.758 -88.077 -85.479 -82.975 -80.566 -78.255 -76.039 -73.915 -71.88 -69.93 -68.061 -66.268 -64.547 -62.894 -61.305 -59.776 -58.303 -56.883 -55.513 -54.189 -52.909 -51.669 -50.468 -49.304 -48.175 -47.078 -46.013 -44.978 -43.971 -42.992 -42.039 -41.112 -40.209 -39.331 -38.475 -37.642 -36.831 -36.042 -35.273 -34.525 -33.796 -33.088 -32.398 -31.727 -31.075 -30.44 -29.824 -29.225 -28.643 -28.078 -27.53 -26.999 -26.483 -25.983 -25.499 -25.03 -24.577 -24.138 -23.713 -23.303 -22.907 -22.525 -22.157 -21.801 -21.459 -21.13 -20.814 -20.511 -20.221 -19.945 -19.684 -19.44 -19.218 -19.023 -18.859 -99.216 -97.202 -94.843 -92.268 -89.594 -86.904 -84.252 -81.668 -79.169 -76.764 -74.455 -72.243 -70.126 -68.101 -66.164 -64.312 -62.54 -60.843 -59.218 -57.661 -56.166 -54.73 -53.35 -52.022 -50.741 -49.506 -48.314 -47.161 -46.045 -44.965 -43.918 -42.903 -41.918 -40.961 -40.031 -39.127 -38.249 -37.394 -36.562 -35.753 -34.966 -34.2 -33.454 -32.728 -32.021 -31.333 -30.664 -30.012 -29.379 -28.762 -28.162 -27.579 -27.013 -26.462 -25.927 -25.407 -24.903 -24.413 -23.938 -23.478 -23.031 -22.599 -22.18 -21.775 -21.383 -21.003 -20.637 -20.283 -19.941 -19.612 -19.294 -18.988 -18.694 -18.412 -18.141 -17.884 -17.64 -17.413 -17.205 -17.022 -16.869
6 0.064373 -110.86 -108.8 -106.37 -103.71 -100.93 -98.126 -95.339 -92.607 -89.947 -87.372 -84.885 -82.488 -80.181 -77.962 -75.829 -73.778 -71.806 -69.909 -68.085 -66.329 -64.638 -63.008 -61.437 -59.92 -58.456 -57.041 -55.673 -54.349 -53.067 -51.825 -50.621 -49.454 -48.322 -47.223 -46.156 -45.12 -44.114 -43.136 -42.186 -41.262 -40.365 -39.492 -38.644 -37.82 -37.018 -36.239 -35.481 -34.745 -34.03 -33.335 -32.659 -32.004 -31.367 -30.749 -30.149 -29.566 -29.002 -28.455 -27.924 -27.411 -26.913 -26.432 -25.966 -25.516 -25.081 -24.66 -24.255 -23.863 -23.486 -23.122 -22.772 -22.435 -22.112 -21.802 -21.506 -21.224 -20.958 -20.71 -20.483 -20.283 -20.117 -109.83 -107.81 -105.43 -102.81 -100.07 -97.305 -94.556 ...
% Aprime Choice
tb_az_ap = ff_summ_nd_array("MEAN(AP(A,Z))", ap_VFI, true, ["mean"], 4, 1, cl_mp_datasetdesc, ar_permute);
xxx MEAN(AP(A,Z)) 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
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___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ 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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 0.0062996 0.0078774 0.0097728 0.011912 0.014377 0.017164 0.020434 0.0241 0.028288 0.033083 0.038392 0.044516 0.051319 0.059019 0.06761 0.077227 0.087978 0.099912 0.11323 0.12804 0.14449 0.16272 0.18295 0.2055 0.23051 0.25818 0.28887 0.32272 0.36021 0.40122 0.44656 0.49624 0.55058 0.61012 0.67494 0.7454 0.82188 0.9047 0.99421 1.0909 1.1955 1.3083 1.4302 1.5618 1.704 1.8579 2.0244 2.2057 2.4041 2.6243 2.8732 3.1592 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 0.0064188 0.0080394 0.0099317 0.012196 0.014658 0.017631 0.021013 0.024809 0.029229 0.034162 0.039797 0.04612 0.053225 0.061283 0.070184 0.080219 0.091386 0.10381 0.11764 0.133 0.1501 0.16908 0.19012 0.2134 0.23929 0.26791 0.29952 0.33422 0.37249 0.41446 0.46057 0.51094 0.56603 0.62605 0.69135 0.76214 0.839 0.92209 1.0119 1.1088 1.2137 1.3268 1.449 1.5808 1.7233 1.8773 2.044 2.2254 2.4241 2.6445 2.8935 3.1796 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 0.02113 0.022893 0.02493 0.02735 0.03016 0.0334 0.037197 0.041497 0.046394 0.051973 0.058293 0.065368 0.0733 0.082168 0.092073 0.103 0.11519 0.12867 0.14358 0.16002 0.17813 0.19808 0.21999 0.24405 0.27037 0.29924 0.33074 0.3652 0.4027 0.44358 0.48799 0.53634 0.58885 0.64563 0.7073 0.77396 0.84612 0.92412 1.0084 1.0994 1.1974 1.3034 1.4175 1.5407 1.6735 1.8169 1.9718 2.1394 2.3218 2.5214 2.7426 2.9925 3.2799 0.27584 0.27805 0.28006 0.28194 0.28377 0.28555 0.28732 0.28911 0.29091 0.29274 0.2946 0.29651 0.29847 0.30047 0.3025 0.30456 0.30665 0.3088 0.31104 0.31336 0.31584 0.31844 0.32123 0.32421 0.32745 0.33086 0.33461 0.33874 0.34333 0.34834 0.35375 0.35963 0.36604 0.37288 0.38037 0.38856 0.39735 0.40675 0.4171 0.42814 0.44023 0.45344 0.46785 0.48323 0.4998 0.51784 0.53724 0.55843 0.58116 0.60585 0.63236 0.66093 0.69216 0.72583 0.76175 0.80051 0.84257 0.88815 0.93688 0.98914 1.0461 1.1072 1.173 1.2435 1.3198 1.402 1.4901 1.5852 1.6875 1.7973 1.9156 2.043 2.1796 2.3272 2.4861 2.6579 2.8442 3.0481 3.2732 3.5276 3.819 1.7419 1.7539 1.766 1.7779 1.79 1.8022 1.8142 1.8264 1.8388 1.8515 1.8641 1.8772 1.8902 1.9034 1.9166 1.9301 1.9436 1.9576 1.9716 1.9859 2.0004 2.0152 2.0305 2.046 2.0619 2.0784 2.095 2.1122 2.1298 2.1479 2.1666 2.1858 2.2059 2.2264 2.2478 2.2702 2.2933 2.3173 2.3423 2.3679 2.3946 2.4225 2.4519 2.4826 2.5144 2.5479 2.5829 2.6197 2.6583 2.6988 2.7413 2.7862 2.8333 2.8831 2.9358 2.9917 3.0502 3.112 3.1778 3.2476 3.3216 3.3997 3.4825 3.5711 3.665 3.7645 3.8707 3.9834 4.1036 4.2323 4.3688 4.5138 4.6697 4.8366 5.0134 5.2053 5.4108 5.6343 5.8802 6.153 6.4676
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 0.0063574 0.0079412 0.0098402 0.011988 0.014459 0.017252 0.02053 0.024199 0.028396 0.033196 0.038512 0.04464 0.051447 0.059158 0.06775 0.077373 0.088131 0.10007 0.11339 0.12822 0.14467 0.1629 0.18314 0.20569 0.23071 0.25839 0.28909 0.32294 0.36044 0.40145 0.4468 0.49649 0.55083 0.61037 0.67521 0.74567 0.82216 0.90498 0.99449 1.0912 1.1958 1.3085 1.4305 1.562 1.7043 1.8582 2.0247 2.206 2.4044 2.6246 2.8735 3.1595 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 0.0064767 0.0081031 0.01 0.012271 0.01474 0.017722 0.021109 0.024912 0.02934 0.034279 0.039921 0.046246 0.053358 0.061424 0.070329 0.08037 0.091544 0.10398 0.11781 0.13318 0.15028 0.16927 0.19032 0.21361 0.2395 0.26813 0.29974 0.33445 0.37273 0.4147 0.46082 0.5112 0.56629 0.62631 0.69162 0.76241 0.83928 0.92237 1.0122 1.1091 1.214 1.3271 1.4493 1.5811 1.7235 1.8775 2.0443 2.2257 2.4244 2.6448 2.8938 3.1799 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 0.021296 0.023062 0.025104 0.027531 0.03035 0.033594 0.037398 0.04171 0.046607 0.052195 0.058521 0.065601 0.073534 0.082407 0.092317 0.10324 0.11544 0.12893 0.14384 0.16029 0.1784 0.19835 0.22027 0.24432 0.27065 0.29953 0.33103 0.3655 0.40299 0.44388 0.48829 0.53664 0.58916 0.64593 0.70761 0.77427 0.84642 0.92443 1.0087 1.0997 1.1977 1.3037 1.4178 1.5411 1.6738 1.8172 1.9721 2.1398 2.3221 2.5217 2.7429 2.9929 3.2802 0.27605 0.27826 0.28026 0.28215 0.28397 0.28576 0.28753 0.28932 0.29112 0.29295 0.29481 0.29672 0.29868 0.30068 0.30271 0.30477 0.30686 0.30901 0.31125 0.31358 0.31605 0.31867 0.32146 0.32444 0.32768 0.3311 0.33485 0.33899 0.3436 0.34861 0.35402 0.35991 0.36633 0.37317 0.38067 0.38886 0.39766 0.40706 0.41741 0.42846 0.44055 0.45377 0.46818 0.48356 0.50014 0.51818 0.53758 0.55877 0.5815 0.60621 0.63271 0.66129 0.69252 0.72618 0.7621 0.80087 0.84293 0.88851 0.93724 0.9895 1.0465 1.1075 1.1734 1.2438 1.3202 1.4024 1.4905 1.5856 1.6878 1.7977 1.916 2.0434 2.1799 2.3275 2.4864 2.6582 2.8445 3.0484 3.2736 3.528 3.8193 1.7421 1.7541 1.7662 1.7782 1.7902 1.8024 1.8144 1.8266 1.8391 1.8517 1.8644 1.8774 1.8904 1.9036 1.9168 1.9303 1.9439 1.9578 1.9718 1.9862 2.0007 2.0155 2.0307 2.0463 2.0622 2.0787 2.0953 2.1125 2.1301 2.1482 2.1669 2.1861 2.2062 2.2267 2.2482 2.2705 2.2936 2.3177 2.3426 2.3682 2.3949 2.4229 2.4523 2.4829 2.5147 2.5482 2.5832 2.6201 2.6587 2.6991 2.7416 2.7866 2.8336 2.8835 2.9362 2.9921 3.0506 3.1124 3.1782 3.248 3.322 3.4 3.4828 3.5715 3.6654 3.7649 3.8711 3.9838 4.1039 4.2327 4.3692 4.5142 4.6701 4.837 5.0138 5.2057 5.4112 5.6347 5.8806 6.1533 6.468
3 0.0041199 2.3328e-05 4.6809e-05 7.1592e-05 8.2019e-05 8.3298e-05 7.997e-05 7.4481e-05 6.8506e-05 6.2775e-05 6.066e-05 6.0104e-05 6.0482e-05 6.1518e-05 6.3608e-05 6.8864e-05 7.9285e-05 9.759e-05 0.00011834 0.00015922 0.00023581 0.00036826 0.00057213 0.00085061 0.0012447 0.0017571 0.0023989 0.0032094 0.0041598 0.0053726 0.0068087 0.0084301 0.010359 0.012564 0.015067 0.017893 0.02123 0.024925 0.029165 0.034004 0.039374 0.045536 0.052381 0.060135 0.068766 0.078423 0.089207 0.10119 0.11457 0.12944 0.14592 0.16418 0.18449 0.20706 0.23212 0.25986 0.29059 0.32451 0.36204 0.40311 0.44851 0.49825 0.55261 0.6122 0.67709 0.74756 0.8241 0.90691 0.99643 1.0932 1.1978 1.3105 1.4325 1.564 1.7063 1.8602 2.0267 2.208 2.4064 2.6266 2.8755 3.1615 2.3328e-05 4.6809e-05 7.1592e-05 8.2019e-05 8.3298e-05 7.997e-05 7.4481e-05 6.8506e-05 6.2775e-05 6.066e-05 6.0104e-05 6.0482e-05 6.1518e-05 6.3608e-05 6.8864e-05 7.9285e-05 9.759e-05 0.00011834 0.00015922 0.00023581 0.00036826 0.00057213 0.00085061 0.0012447 0.0017609 0.0024086 0.0032484 0.0042387 0.0054811 0.0069332 0.0085907 0.010532 0.012848 0.01536 0.018387 0.021816 0.025674 0.030127 0.035116 0.040812 0.047162 0.054334 0.062435 0.07139 0.08146 0.092665 0.10515 0.11903 0.13444 0.15158 0.17063 0.19171 0.21504 0.24096 0.26966 0.3013 0.33605 0.37438 0.41641 0.46256 0.51303 0.56812 0.62816 0.69353 0.76433 0.84122 0.9243 1.0141 1.1111 1.216 1.3291 1.4513 1.5831 1.7255 1.8796 2.0463 2.2277 2.4264 2.6468 2.8958 3.182 0.017363 0.017573 0.017686 0.017712 0.017692 0.017645 0.017584 0.017511 0.017435 0.017363 0.017278 0.017191 0.017106 0.017013 0.016915 0.016824 0.01674 0.016675 0.016632 0.016596 0.016659 0.016807 0.017056 0.017443 0.01798 0.018747 0.019748 0.020988 0.022514 0.024296 0.026374 0.028838 0.031722 0.035012 0.038854 0.043225 0.048151 0.053769 0.060131 0.067255 0.075204 0.084118 0.094043 0.10502 0.11725 0.13075 0.14568 0.16218 0.18031 0.20027 0.22221 0.2463 0.27265 0.30152 0.33307 0.36755 0.40506 0.44598 0.4904 0.53874 0.59132 0.64804 0.70977 0.77645 0.8486 0.92662 1.0109 1.1019 1.1999 1.3059 1.42 1.5433 1.6761 1.8194 1.9744 2.142 2.3243 2.5239 2.7451 2.9951 3.2824 0.27753 0.27975 0.28179 0.28369 0.28551 0.28729 0.28905 0.29084 0.29264 0.29447 0.29634 0.29825 0.3002 0.30221 0.30424 0.3063 0.3084 0.31054 0.3128 0.31514 0.31764 0.32029 0.32309 0.32612 0.32937 0.33284 0.33663 0.34083 0.34548 0.35054 0.35599 0.36193 0.36839 0.37525 0.38278 0.39102 0.39983 0.40926 0.4196 0.43074 0.44283 0.4561 0.4705 0.4859 0.50252 0.52057 0.54001 0.5612 0.58395 0.60868 0.63518 0.66381 0.69501 0.72867 0.76461 0.80336 0.84545 0.89103 0.93974 0.99203 1.049 1.1101 1.1759 1.2464 1.3228 1.405 1.493 1.5881 1.6904 1.8003 1.9185 2.0459 2.1825 2.3301 2.489 2.6608 2.8471 3.051 3.2762 3.5306 3.8219 1.7438 1.7558 1.7679 1.7799 1.792 1.8041 1.8161 1.8283 1.8408 1.8534 1.8661 1.8791 1.8921 1.9053 1.9185 1.932 1.9456 1.9595 1.9736 1.9879 2.0024 2.0173 2.0325 2.0481 2.0641 2.0806 2.0972 2.1145 2.1322 2.1503 2.169 2.1883 2.2084 2.2289 2.2504 2.2728 2.2959 2.32 2.345 2.3706 2.3973 2.4253 2.4548 2.4854 2.5172 2.5507 2.5858 2.6226 2.6613 2.7017 2.7442 2.7892 2.8362 2.8861 2.9388 2.9947 3.0532 3.115 3.1808 3.2506 3.3247 3.4027 3.4855 3.5741 3.668 3.7675 3.8738 3.9864 4.1066 4.2354 4.3718 4.5168 4.6728 4.8396 5.0165 5.2083 5.4138 5.6374 5.8832 6.156 6.4707
4 0.013905 0.0013551 0.0014087 0.0014521 0.0014783 0.0014876 0.0014875 0.0014835 0.0014784 0.0014732 0.0014679 0.0014607 0.001452 0.001442 0.0014321 0.0014248 0.0014229 0.0014305 0.0014486 0.0014845 0.0015829 0.0017423 0.0019887 0.002326 0.0027622 0.003305 0.0040103 0.0048716 0.0058997 0.007161 0.0086531 0.010369 0.012345 0.014634 0.017195 0.020123 0.023538 0.027278 0.031637 0.036539 0.042016 0.048254 0.055172 0.063015 0.071732 0.08147 0.092393 0.10446 0.11795 0.1329 0.14948 0.16789 0.18829 0.21097 0.23617 0.26408 0.29489 0.32895 0.36654 0.40784 0.45336 0.50322 0.55772 0.6174 0.68231 0.75292 0.82948 0.9123 1.0019 1.0987 1.2032 1.3161 1.438 1.5697 1.7118 1.8658 2.0323 2.2136 2.412 2.6322 2.8811 3.1671 0.0013551 0.0014087 0.0014521 0.0014783 0.0014876 0.0014875 0.0014835 0.0014784 0.0014732 0.0014679 0.0014607 0.001452 0.001442 0.0014321 0.0014248 0.0014229 0.0014305 0.0014486 0.0014845 0.0015829 0.0017423 0.0019887 0.002326 0.0027626 0.0033134 0.0040298 0.0049257 0.0060018 0.0072759 0.0088079 0.010526 0.01258 0.014918 0.017549 0.020665 0.024149 0.028103 0.03266 0.037728 0.043527 0.049947 0.057248 0.065385 0.074456 0.084645 0.095962 0.10851 0.12254 0.13799 0.15528 0.17446 0.19563 0.21914 0.24518 0.274 0.30571 0.3406 0.37905 0.42129 0.46751 0.51816 0.57333 0.63341 0.69882 0.76974 0.84664 0.92968 1.0196 1.1166 1.2215 1.3346 1.4568 1.5886 1.7311 1.8852 2.0519 2.2333 2.432 2.6524 2.9014 3.1876 0.02077 0.02104 0.021185 0.021233 0.021219 0.021171 0.021105 0.021034 0.020957 0.020866 0.020772 0.020684 0.020589 0.020492 0.020404 0.020325 0.02027 0.020242 0.020204 0.020241 0.020365 0.020579 0.02093 0.021371 0.022 0.022832 0.023879 0.025104 0.026612 0.028419 0.030591 0.033109 0.036059 0.039458 0.043377 0.047861 0.052841 0.058546 0.064951 0.07215 0.08017 0.089155 0.099111 0.11019 0.12247 0.13604 0.15104 0.1676 0.18575 0.20579 0.22781 0.25192 0.27835 0.30728 0.33891 0.3734 0.41094 0.4519 0.49641 0.54477 0.59739 0.65411 0.71592 0.78261 0.85478 0.93281 1.017 1.1081 1.2061 1.3121 1.4263 1.5495 1.6824 1.8257 1.9806 2.1483 2.3306 2.5302 2.7514 3.0014 3.2887 0.28285 0.28508 0.28714 0.28905 0.29089 0.29267 0.29445 0.29623 0.29805 0.29989 0.30175 0.30366 0.3056 0.30759 0.30956 0.31159 0.31365 0.3158 0.31803 0.32045 0.32297 0.32566 0.32854 0.33161 0.33486 0.33841 0.34233 0.34663 0.35135 0.35647 0.362 0.36804 0.3745 0.38143 0.38902 0.39731 0.40614 0.41572 0.42594 0.4373 0.44938 0.46272 0.4771 0.49251 0.50924 0.52733 0.5468 0.56803 0.59079 0.6156 0.6421 0.67075 0.70197 0.73565 0.77161 0.81033 0.85251 0.89805 0.94677 0.99912 1.0561 1.1172 1.183 1.2535 1.3299 1.4121 1.5001 1.5953 1.6976 1.8074 1.9257 2.053 2.1898 2.3373 2.4962 2.668 2.8543 3.0581 3.2834 3.5377 3.8291 1.7495 1.7616 1.7737 1.7857 1.7978 1.8099 1.822 1.8342 1.8466 1.8593 1.8719 1.8849 1.898 1.911 1.9243 1.9378 1.9514 1.9653 1.9794 1.9938 2.0083 2.0232 2.0385 2.054 2.0701 2.0866 2.1033 2.1208 2.1384 2.1566 2.1754 2.1947 2.2149 2.2355 2.257 2.2795 2.3026 2.3268 2.3518 2.3775 2.4042 2.4323 2.4617 2.4924 2.5242 2.5578 2.5929 2.6298 2.6684 2.7088 2.7514 2.7964 2.8434 2.8933 2.9462 3.0019 3.0605 3.1223 3.1882 3.258 3.332 3.41 3.4929 3.5814 3.6754 3.7749 3.8811 3.9938 4.1139 4.2428 4.3792 4.5242 4.6802 4.8469 5.0238 5.2156 5.4212 5.6448 5.8906 6.1634 6.4781
5 0.032959 0.0056972 0.0058797 0.0060165 0.0060906 0.0061057 0.0060871 0.0060528 0.0060131 0.0059743 0.0059377 0.0059075 0.0058835 0.0058649 0.0058515 0.0058451 0.0058482 0.0058668 0.0059182 0.0059979 0.006115 0.0063281 0.006595 0.0070111 0.007506 0.0081394 0.008923 0.0098492 0.010998 0.012367 0.013896 0.015725 0.017776 0.020135 0.022774 0.025886 0.029351 0.033264 0.037742 0.042723 0.048372 0.054717 0.061794 0.069799 0.07864 0.088599 0.099641 0.11185 0.12548 0.14061 0.1574 0.17608 0.19667 0.21956 0.24496 0.27314 0.30422 0.33851 0.37631 0.41799 0.46373 0.51376 0.56856 0.62841 0.69349 0.7642 0.84086 0.92374 1.0134 1.1102 1.2148 1.3278 1.4496 1.5815 1.7237 1.8776 2.044 2.2253 2.4238 2.6441 2.8929 3.1789 0.0056972 0.0058797 0.0060165 0.0060906 0.0061057 0.0060871 0.0060528 0.0060131 0.0059743 0.0059377 0.0059075 0.0058835 0.0058649 0.0058515 0.0058451 0.0058482 0.0058668 0.0059182 0.0059979 0.006115 0.0063281 0.006595 0.0070114 0.0075144 0.0081568 0.0089712 0.0099405 0.011113 0.012505 0.014066 0.015912 0.018086 0.020451 0.023276 0.026493 0.030083 0.034232 0.038855 0.044124 0.050008 0.056566 0.064051 0.072352 0.081576 0.091959 0.10339 0.11613 0.13033 0.14605 0.16347 0.18288 0.20432 0.22806 0.2543 0.28331 0.31529 0.35046 0.38914 0.43165 0.47808 0.52895 0.58434 0.64462 0.71011 0.78109 0.85805 0.94118 1.0311 1.1282 1.2331 1.3462 1.4685 1.6004 1.7429 1.8969 2.0637 2.2451 2.4438 2.6643 2.9133 3.1995 0.029615 0.030034 0.030285 0.030384 0.030369 0.030301 0.030201 0.030086 0.029968 0.029856 0.029744 0.029633 0.02953 0.029431 0.029339 0.029278 0.029229 0.0292 0.02923 0.029319 0.029532 0.029839 0.030281 0.030866 0.03161 0.032564 0.033706 0.035114 0.036795 0.038765 0.041044 0.043683 0.046676 0.050168 0.054146 0.058649 0.063786 0.069591 0.076118 0.083367 0.091499 0.10055 0.11061 0.12174 0.1341 0.14775 0.16278 0.1794 0.19773 0.21781 0.23996 0.26417 0.29068 0.31973 0.35142 0.38598 0.42362 0.46461 0.50929 0.55769 0.61027 0.66712 0.72899 0.79574 0.86788 0.94599 1.0303 1.1213 1.2195 1.3254 1.4396 1.5628 1.6957 1.839 1.994 2.1617 2.3439 2.5436 2.7648 3.0148 3.302 0.29487 0.29725 0.29941 0.30138 0.3032 0.30496 0.30674 0.3085 0.31028 0.31211 0.31398 0.31585 0.31775 0.31964 0.32158 0.3236 0.32573 0.32794 0.33027 0.33269 0.33527 0.338 0.34095 0.34405 0.34743 0.35114 0.3552 0.35963 0.36447 0.36966 0.37531 0.38138 0.38778 0.39493 0.40257 0.41085 0.41974 0.4294 0.43978 0.45115 0.46327 0.47668 0.49115 0.50663 0.52342 0.54141 0.56096 0.58226 0.60513 0.62987 0.65644 0.6852 0.71648 0.75004 0.7861 0.82484 0.86704 0.91264 0.96136 1.0138 1.0707 1.1319 1.1976 1.2682 1.3447 1.4269 1.5148 1.6101 1.7124 1.8222 1.9405 2.0678 2.2046 2.3522 2.511 2.6829 2.8691 3.0728 3.2983 3.5526 3.844 1.7624 1.7748 1.7868 1.7989 1.811 1.823 1.8351 1.8473 1.8597 1.8723 1.8851 1.8979 1.911 1.9241 1.9374 1.9508 1.9645 1.9784 1.9925 2.0069 2.0215 2.0364 2.0518 2.0674 2.0837 2.1002 2.1169 2.1345 2.1521 2.1704 2.1892 2.2088 2.2289 2.2496 2.2712 2.2938 2.3169 2.3412 2.3662 2.392 2.4187 2.4469 2.4764 2.507 2.5389 2.5725 2.6077 2.6446 2.6832 2.7236 2.7663 2.8113 2.8584 2.9083 2.9612 3.017 3.0755 3.1373 3.2033 3.2732 3.3471 3.425 3.508 3.5965 3.6906 3.79 3.8963 4.0091 4.1292 4.2581 4.3944 4.5393 4.6954 4.8621 5.039 5.2308 5.4363 5.6601 5.9059 6.1787 6.4934
6 0.064373 0.0156 0.015941 0.016146 0.016236 0.016247 0.016208 0.016136 0.016049 0.015955 0.015855 0.015757 0.015667 0.015585 0.015516 0.015469 0.015454 0.015477 0.01554 0.015647 0.01581 0.016098 0.016449 0.01694 0.017554 0.018267 0.019153 0.020238 0.021509 0.02295 0.024632 0.026558 0.02875 0.031181 0.034051 0.037265 0.040843 0.044966 0.049571 0.054755 0.060621 0.067102 0.074491 0.082646 0.091746 0.10196 0.1132 0.12573 0.13967 0.15506 0.17212 0.19113 0.21211 0.23535 0.26106 0.28964 0.32114 0.35586 0.39413 0.43612 0.48225 0.53272 0.58801 0.64806 0.71331 0.7842 0.86089 0.94389 1.0336 1.1306 1.2354 1.3483 1.4703 1.602 1.7444 1.8983 2.0648 2.246 2.4446 2.6649 2.9138 3.1997 0.015799 0.016137 0.016327 0.0164 0.016392 0.016335 0.016248 0...
% Consumption Choices
tb_az_c = ff_summ_nd_array("MEAN(C(A,Z))", cons_VFI, true, ["mean"], 4, 1, cl_mp_datasetdesc, ar_permute);
xxx MEAN(C(A,Z)) 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
_____ __________ __________ __________ __________ __________ __________ __________ __________ __________ __________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ___________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ 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1 0 0.13344 0.13578 0.13828 0.14094 0.14377 0.14679 0.15 0.15342 0.15706 0.16094 0.16507 0.16947 0.17415 0.17913 0.18443 0.19008 0.19609 0.20248 0.20927 0.21646 0.22408 0.23213 0.24062 0.24958 0.25902 0.26898 0.27947 0.29053 0.30213 0.31433 0.32723 0.34075 0.35504 0.37008 0.38595 0.40256 0.42008 0.43849 0.45778 0.47815 0.49942 0.52184 0.5453 0.56997 0.59584 0.62295 0.65144 0.68127 0.71252 0.74526 0.77955 0.81541 0.85278 0.89176 0.93247 0.97482 1.019 1.0649 1.1131 1.163 1.2151 1.2696 1.3265 1.386 1.4485 1.5142 1.5834 1.6565 1.7335 1.8148 1.9008 1.9914 2.0871 2.188 2.2941 2.4056 2.5216 2.6414 2.7614 2.8763 2.9796 0.15136 0.15378 0.15636 0.15909 0.162 0.16509 0.16838 0.17187 0.17559 0.17954 0.18374 0.18821 0.19296 0.19801 0.20339 0.20911 0.21519 0.22165 0.22851 0.23577 0.24345 0.25157 0.26014 0.26917 0.27868 0.28871 0.29924 0.31034 0.32199 0.33426 0.34719 0.36079 0.37504 0.39017 0.40593 0.42252 0.44 0.45827 0.47752 0.49766 0.51883 0.54104 0.56426 0.58872 0.61428 0.64109 0.6692 0.69864 0.72946 0.76167 0.79533 0.83052 0.86727 0.90552 0.9454 0.98699 1.0305 1.0758 1.1231 1.1724 1.224 1.2779 1.3344 1.3936 1.456 1.5214 1.5905 1.6634 1.7404 1.8216 1.9074 1.9979 2.0936 2.1944 2.3006 2.4121 2.5282 2.6478 2.7678 2.8828 2.9861 0.21636 0.21901 0.22191 0.22505 0.22839 0.23194 0.2357 0.23968 0.24389 0.24833 0.25304 0.25803 0.2633 0.26887 0.27478 0.28103 0.28764 0.29462 0.30199 0.30978 0.31796 0.32653 0.33555 0.34499 0.3549 0.36525 0.37607 0.38737 0.39917 0.41152 0.42448 0.43802 0.45218 0.467 0.48242 0.49857 0.51544 0.53304 0.5514 0.57062 0.5907 0.61168 0.63359 0.65657 0.68053 0.7056 0.7318 0.75921 0.78788 0.81784 0.84919 0.88199 0.91634 0.95225 0.98992 1.0293 1.0707 1.1141 1.1596 1.2074 1.2576 1.3105 1.3661 1.4247 1.4865 1.5516 1.6203 1.6928 1.7695 1.8504 1.936 2.0263 2.1218 2.2226 2.3287 2.4402 2.5562 2.6758 2.7959 2.9109 3.0139 0.32069 0.32342 0.32651 0.3299 0.33355 0.33743 0.34155 0.34586 0.35039 0.35515 0.36015 0.36539 0.37088 0.37664 0.3827 0.3891 0.39585 0.40296 0.4104 0.41821 0.42637 0.4349 0.44381 0.45312 0.46279 0.47295 0.48349 0.49439 0.50564 0.51734 0.52954 0.54224 0.55545 0.56934 0.58377 0.59875 0.61447 0.63102 0.64816 0.66624 0.68501 0.70453 0.72484 0.74631 0.76886 0.79237 0.81711 0.84284 0.86999 0.89834 0.92826 0.95975 0.99244 1.0268 1.0634 1.1018 1.142 1.1841 1.2288 1.2762 1.3254 1.3777 1.4327 1.4912 1.5525 1.6171 1.6858 1.758 1.8344 1.9153 2.0007 2.0908 2.1866 2.2872 2.3934 2.5049 2.6213 2.7407 2.8612 2.976 3.0793 0.52033 0.52343 0.52675 0.53049 0.53439 0.53851 0.54303 0.54772 0.5525 0.55743 0.56272 0.56801 0.57371 0.57968 0.58605 0.59257 0.59956 0.60666 0.61421 0.62202 0.63028 0.63882 0.64764 0.65683 0.6664 0.67612 0.68662 0.69732 0.70854 0.72029 0.73245 0.74518 0.75819 0.77206 0.78628 0.80094 0.81636 0.83236 0.84912 0.86699 0.88565 0.90504 0.92511 0.94617 0.96851 0.99174 1.0162 1.0417 1.0685 1.0968 1.1266 1.1578 1.1908 1.2252 1.2615 1.2994 1.3399 1.3827 1.4274 1.4744 1.524 1.5768 1.6326 1.6908 1.7525 1.8181 1.887 1.9602 2.0374 2.1183 2.2045 2.2963 2.3922 2.4931 2.6012 2.7126 2.8299 2.9501 3.0704 3.1876 3.2886
2 0.00051498 0.13397 0.13632 0.13881 0.14147 0.1443 0.14732 0.15053 0.15395 0.15759 0.16147 0.1656 0.17 0.17468 0.17966 0.18497 0.19061 0.19662 0.20301 0.2098 0.21698 0.2246 0.23264 0.24113 0.25008 0.25952 0.26948 0.27996 0.29102 0.30261 0.31481 0.3277 0.34122 0.3555 0.37053 0.38639 0.40299 0.42052 0.43891 0.4582 0.47856 0.49983 0.52224 0.5457 0.57036 0.59622 0.62333 0.65181 0.68164 0.71288 0.74561 0.77991 0.81576 0.85312 0.89209 0.93279 0.97514 1.0193 1.0653 1.1134 1.1633 1.2154 1.2699 1.3267 1.3863 1.4488 1.5145 1.5837 1.6567 1.7338 1.8151 1.9011 1.9916 2.0874 2.1882 2.2943 2.4058 2.5219 2.6416 2.7616 2.8765 2.9798 0.15189 0.15432 0.15689 0.15962 0.16253 0.16562 0.16891 0.1724 0.17612 0.18007 0.18427 0.18874 0.19349 0.19854 0.20392 0.20964 0.21572 0.22217 0.22903 0.23629 0.24397 0.25208 0.26065 0.26967 0.27918 0.28921 0.29973 0.31083 0.32247 0.33473 0.34766 0.36126 0.3755 0.39062 0.40637 0.42295 0.44043 0.45869 0.47793 0.49807 0.51924 0.54144 0.56465 0.5891 0.61466 0.64147 0.66957 0.699 0.72981 0.76202 0.79567 0.83085 0.8676 0.90585 0.94572 0.98729 1.0308 1.076 1.1234 1.1727 1.2242 1.2782 1.3346 1.3939 1.4562 1.5217 1.5908 1.6637 1.7407 1.8218 1.9077 1.9982 2.0938 2.1947 2.3008 2.4123 2.5284 2.648 2.768 2.8831 2.9863 0.2168 0.21944 0.22234 0.22548 0.22882 0.23237 0.23613 0.24011 0.24431 0.24876 0.25347 0.25845 0.26372 0.26929 0.2752 0.28145 0.28805 0.29503 0.3024 0.31018 0.31836 0.32693 0.33594 0.34538 0.35529 0.36563 0.37644 0.38774 0.39953 0.41188 0.42484 0.43837 0.45252 0.46734 0.48275 0.49889 0.51576 0.53335 0.55171 0.57092 0.591 0.61198 0.63388 0.65686 0.68081 0.70587 0.73207 0.75947 0.78814 0.8181 0.84945 0.88224 0.91659 0.9525 0.99017 1.0296 1.0709 1.1143 1.1599 1.2076 1.2578 1.3108 1.3663 1.425 1.4867 1.5518 1.6205 1.693 1.7698 1.8506 1.9362 2.0265 2.122 2.2228 2.3289 2.4404 2.5565 2.676 2.7961 2.9111 3.0141 0.32102 0.32374 0.32684 0.33023 0.33387 0.33775 0.34187 0.34618 0.35072 0.35548 0.36047 0.36571 0.3712 0.37696 0.38303 0.38943 0.39618 0.40328 0.41072 0.41853 0.42668 0.43521 0.44411 0.45342 0.46309 0.47324 0.48377 0.49467 0.50591 0.5176 0.52979 0.54249 0.5557 0.56958 0.584 0.59898 0.6147 0.63124 0.64838 0.66644 0.68523 0.70473 0.72505 0.74651 0.76906 0.79256 0.8173 0.84303 0.87018 0.89852 0.92845 0.95992 0.99261 1.027 1.0636 1.102 1.1422 1.1843 1.229 1.2764 1.3256 1.3779 1.4329 1.4914 1.5526 1.6173 1.6859 1.7582 1.8346 1.9154 2.0009 2.091 2.1868 2.2874 2.3936 2.505 2.6214 2.7409 2.8613 2.9762 3.0795 0.52063 0.52373 0.52705 0.53079 0.53469 0.53881 0.54333 0.54802 0.5528 0.55773 0.56302 0.56831 0.574 0.57998 0.58635 0.59286 0.59985 0.60696 0.6145 0.6223 0.63056 0.6391 0.64791 0.6571 0.66666 0.67638 0.68687 0.69757 0.70879 0.72053 0.73269 0.74541 0.75842 0.77228 0.78649 0.80114 0.81657 0.83256 0.84931 0.86718 0.88584 0.90522 0.92529 0.94635 0.96869 0.99191 1.0163 1.0419 1.0687 1.097 1.1268 1.1579 1.1909 1.2254 1.2616 1.2995 1.3401 1.3828 1.4276 1.4745 1.5242 1.577 1.6328 1.6909 1.7527 1.8182 1.8871 1.9603 2.0375 2.1184 2.2047 2.2964 2.3923 2.4933 2.6014 2.7127 2.83 2.9503 3.0705 3.1878 3.2887
3 0.0041199 0.13768 0.14 0.14247 0.14512 0.14795 0.15097 0.15419 0.15762 0.16126 0.16514 0.16927 0.17367 0.17835 0.18333 0.18863 0.19427 0.20026 0.20664 0.21341 0.22059 0.22818 0.23619 0.24467 0.25359 0.263 0.27292 0.28336 0.29439 0.30593 0.31808 0.33093 0.34442 0.35864 0.37364 0.38947 0.40601 0.42351 0.44186 0.46111 0.48142 0.50265 0.52503 0.54844 0.57306 0.59889 0.62598 0.65441 0.68418 0.71538 0.74808 0.78234 0.81813 0.85546 0.89441 0.93504 0.97735 1.0215 1.0674 1.1154 1.1653 1.2174 1.2719 1.3286 1.3881 1.4506 1.5163 1.5855 1.6585 1.7355 1.8168 1.9028 1.9934 2.0891 2.19 2.296 2.4075 2.5236 2.6433 2.7633 2.8783 2.9815 0.1556 0.158 0.16055 0.16327 0.16618 0.16927 0.17256 0.17606 0.17979 0.18374 0.18794 0.19241 0.19716 0.20221 0.20758 0.21329 0.21935 0.2258 0.23265 0.23989 0.24755 0.25564 0.26418 0.27318 0.28266 0.29265 0.30313 0.31419 0.32578 0.338 0.35089 0.36445 0.37864 0.39372 0.40943 0.42597 0.44339 0.46162 0.48081 0.5009 0.52204 0.54419 0.56736 0.59176 0.61729 0.64406 0.67212 0.7015 0.73228 0.76444 0.79804 0.83318 0.86989 0.9081 0.94791 0.98945 1.0329 1.0781 1.1254 1.1746 1.2261 1.28 1.3365 1.3957 1.458 1.5235 1.5926 1.6654 1.7424 1.8236 1.9094 1.9999 2.0956 2.1964 2.3025 2.414 2.5301 2.6497 2.7697 2.8848 2.988 0.2198 0.22242 0.22529 0.22842 0.23176 0.23531 0.23907 0.24305 0.24725 0.25169 0.25639 0.26136 0.26661 0.27217 0.27806 0.28428 0.29086 0.29782 0.30516 0.31294 0.32109 0.32966 0.33866 0.34809 0.35797 0.36827 0.37903 0.39028 0.40203 0.41437 0.42729 0.44078 0.45487 0.46964 0.48501 0.50109 0.51793 0.5355 0.55382 0.57299 0.59305 0.61398 0.63587 0.6588 0.68272 0.70777 0.73395 0.7613 0.78995 0.8199 0.85123 0.88398 0.91832 0.95423 0.99184 1.0312 1.0726 1.1159 1.1615 1.2092 1.2594 1.3124 1.3679 1.4265 1.4882 1.5533 1.6221 1.6945 1.7713 1.8521 1.9377 2.028 2.1235 2.2243 2.3304 2.4418 2.558 2.6775 2.7976 2.9126 3.0156 0.32326 0.32597 0.32904 0.33242 0.33606 0.33995 0.34406 0.34838 0.35292 0.35768 0.36267 0.3679 0.37339 0.37915 0.38522 0.39162 0.39837 0.40547 0.41289 0.42069 0.42882 0.43731 0.44621 0.45546 0.46512 0.47522 0.48571 0.49655 0.50774 0.51938 0.53154 0.54419 0.55735 0.57122 0.58561 0.60054 0.61624 0.63276 0.64991 0.66788 0.68666 0.70612 0.72644 0.74788 0.77039 0.79389 0.81859 0.84431 0.87145 0.89976 0.9297 0.96112 0.99384 1.0282 1.0648 1.1032 1.1434 1.1855 1.2302 1.2776 1.3268 1.3791 1.4341 1.4926 1.5538 1.6184 1.6871 1.7594 1.8357 1.9166 2.002 2.0921 2.1879 2.2885 2.3947 2.5062 2.6226 2.7421 2.8625 2.9773 3.0807 0.52269 0.52577 0.52908 0.5328 0.53669 0.54083 0.54535 0.55004 0.55482 0.55975 0.56503 0.57034 0.57602 0.58202 0.58836 0.59487 0.60184 0.60894 0.61647 0.62426 0.6325 0.64101 0.6498 0.65897 0.66849 0.67819 0.68863 0.69927 0.71048 0.72218 0.73429 0.74697 0.75994 0.77378 0.78795 0.80255 0.81795 0.83391 0.85065 0.86848 0.88713 0.90648 0.92652 0.94758 0.96991 0.99311 1.0175 1.043 1.0698 1.0981 1.1279 1.159 1.192 1.2265 1.2627 1.3006 1.3412 1.3839 1.4286 1.4756 1.5252 1.5781 1.6338 1.692 1.7538 1.8193 1.8882 1.9614 2.0386 2.1194 2.2057 2.2975 2.3934 2.4943 2.6024 2.7138 2.8311 2.9513 3.0716 3.1888 3.2898
4 0.013905 0.14648 0.14877 0.15122 0.15385 0.15667 0.15969 0.16291 0.16633 0.16998 0.17386 0.17799 0.1824 0.18709 0.19208 0.19739 0.20304 0.20904 0.21542 0.2222 0.22936 0.23692 0.24489 0.2533 0.26218 0.27156 0.28142 0.2918 0.30275 0.31425 0.32634 0.3391 0.35254 0.36668 0.38162 0.39734 0.41381 0.43126 0.44949 0.46867 0.48888 0.51003 0.53233 0.55566 0.5802 0.60594 0.63289 0.66124 0.6909 0.72201 0.75461 0.78872 0.82442 0.86165 0.90045 0.94091 0.98315 1.0271 1.073 1.1208 1.1705 1.2225 1.2769 1.3335 1.393 1.4554 1.521 1.5902 1.6631 1.7401 1.8215 1.9073 1.9979 2.0936 2.1945 2.3006 2.4121 2.5281 2.6478 2.7678 2.8827 2.986 0.1644 0.16676 0.16929 0.172 0.1749 0.17799 0.18128 0.18478 0.1885 0.19245 0.19666 0.20114 0.2059 0.21096 0.21634 0.22206 0.22813 0.23459 0.24143 0.24866 0.25629 0.26433 0.27282 0.28177 0.29121 0.30113 0.31156 0.32253 0.33409 0.34623 0.35906 0.3725 0.38667 0.40163 0.41725 0.43374 0.45106 0.46919 0.4883 0.50828 0.52935 0.55137 0.57451 0.5988 0.6242 0.65086 0.67884 0.70809 0.73881 0.77083 0.8043 0.83935 0.87588 0.91397 0.95365 0.99514 1.0384 1.0835 1.1306 1.1798 1.2311 1.2849 1.3413 1.4005 1.4627 1.5281 1.5973 1.6701 1.7471 1.8282 1.914 2.0044 2.1001 2.2009 2.307 2.4185 2.5346 2.6542 2.7742 2.8893 2.9924 0.22651 0.22907 0.23191 0.23501 0.23834 0.2419 0.24566 0.24964 0.25384 0.2583 0.26301 0.26798 0.27324 0.2788 0.28468 0.29089 0.29744 0.30436 0.3117 0.3194 0.32749 0.33599 0.34489 0.35426 0.36406 0.37429 0.385 0.39627 0.40804 0.42034 0.43318 0.44661 0.46064 0.47529 0.49059 0.50655 0.52334 0.54082 0.55909 0.57819 0.59818 0.61904 0.6409 0.66373 0.6876 0.71257 0.73868 0.76598 0.7946 0.82447 0.85572 0.88845 0.92271 0.95855 0.99609 1.0355 1.0768 1.1201 1.1655 1.2133 1.2634 1.3164 1.3718 1.4304 1.4922 1.5572 1.626 1.6984 1.7752 1.856 1.9415 2.0319 2.1273 2.2282 2.3342 2.4456 2.5618 2.6813 2.8014 2.9164 3.0194 0.32805 0.33075 0.3338 0.33716 0.34078 0.34467 0.34877 0.35309 0.35762 0.36237 0.36736 0.37259 0.3781 0.38387 0.39 0.39643 0.40321 0.41031 0.41776 0.42548 0.43359 0.44204 0.45086 0.46006 0.46973 0.47975 0.49011 0.50084 0.51197 0.52354 0.53562 0.54818 0.56133 0.57514 0.58945 0.60434 0.62002 0.6364 0.65365 0.67142 0.6902 0.70959 0.72993 0.75137 0.77376 0.79722 0.82189 0.84758 0.87469 0.90293 0.93286 0.96426 0.99697 1.0313 1.0679 1.1063 1.1464 1.1885 1.2333 1.2806 1.3298 1.382 1.4371 1.4955 1.5567 1.6214 1.6902 1.7623 1.8386 1.9195 2.0049 2.0951 2.1908 2.2914 2.3976 2.5091 2.6255 2.745 2.8653 2.9803 3.0835 0.52704 0.53006 0.53338 0.53708 0.54094 0.54512 0.54961 0.55428 0.55906 0.56401 0.56926 0.57461 0.58028 0.58633 0.59263 0.5992 0.60614 0.61326 0.6208 0.62855 0.63677 0.64525 0.65398 0.66312 0.67253 0.68224 0.69262 0.70312 0.71435 0.72599 0.73803 0.75062 0.76355 0.77732 0.79143 0.80597 0.82134 0.83722 0.85394 0.87171 0.89033 0.90963 0.92966 0.95073 0.97302 0.99615 1.0205 1.0459 1.0727 1.1011 1.1308 1.1619 1.1949 1.2294 1.2654 1.3035 1.344 1.3867 1.4313 1.4784 1.528 1.5808 1.6366 1.6948 1.7564 1.8221 1.8909 1.9641 2.0413 2.1221 2.2084 2.3003 2.3961 2.4971 2.6051 2.7166 2.8338 2.954 3.0743 3.1915 3.2924
5 0.032959 0.16186 0.16402 0.16638 0.16896 0.17178 0.17481 0.17805 0.18151 0.18519 0.1891 0.19326 0.19768 0.20237 0.20737 0.21268 0.21832 0.22431 0.23065 0.23739 0.24452 0.25203 0.25998 0.26831 0.27713 0.28641 0.29619 0.30651 0.31734 0.32872 0.34078 0.35342 0.36679 0.38085 0.39572 0.41125 0.42767 0.44494 0.46306 0.48216 0.50219 0.52324 0.54538 0.56854 0.59295 0.61848 0.6453 0.67351 0.70303 0.73396 0.76636 0.8002 0.8357 0.87272 0.91132 0.9515 0.99348 1.0372 1.0828 1.1303 1.1798 1.2316 1.2857 1.3422 1.4015 1.4637 1.5292 1.5984 1.6713 1.7483 1.8295 1.9153 2.006 2.1014 2.2023 2.3084 2.42 2.5361 2.6556 2.7755 2.8906 2.9938 0.17977 0.18201 0.18444 0.1871 0.18999 0.1931 0.19642 0.19995 0.2037 0.20769 0.21192 0.21641 0.22118 0.22624 0.23162 0.23733 0.2434 0.24981 0.25661 0.26382 0.27139 0.27942 0.28782 0.29671 0.30605 0.31587 0.32622 0.3371 0.34854 0.36065 0.37335 0.38667 0.40082 0.41558 0.4311 0.44747 0.4646 0.48266 0.50157 0.52147 0.5424 0.56423 0.5872 0.61134 0.63655 0.66309 0.69089 0.71995 0.75042 0.7823 0.81554 0.85032 0.88662 0.92451 0.96401 1.0052 1.0482 1.0931 1.1399 1.1889 1.24 1.2936 1.3498 1.4088 1.471 1.5364 1.6054 1.6782 1.7551 1.8362 1.922 2.0124 2.108 2.2088 2.3149 2.4264 2.5426 2.6621 2.782 2.897 3.0002 0.23737 0.23978 0.24251 0.24556 0.24889 0.25246 0.25626 0.26028 0.26453 0.269 0.27373 0.27872 0.28398 0.28955 0.29543 0.30162 0.30817 0.31509 0.32236 0.33001 0.33801 0.34641 0.35521 0.36444 0.37412 0.38423 0.39485 0.40593 0.41753 0.42967 0.44239 0.45571 0.46969 0.48425 0.49948 0.51543 0.53206 0.54943 0.56759 0.58663 0.60651 0.6273 0.64906 0.67183 0.69562 0.72052 0.74659 0.77383 0.80227 0.83211 0.86322 0.89586 0.93003 0.96576 1.0032 1.0425 1.0838 1.127 1.1723 1.22 1.2702 1.323 1.3784 1.437 1.4987 1.5637 1.6324 1.7048 1.7814 1.8623 1.9479 2.0382 2.1336 2.2344 2.3405 2.4519 2.5681 2.6876 2.8077 2.9226 3.0257 0.33571 0.33827 0.34121 0.34451 0.34815 0.35206 0.35616 0.3605 0.36507 0.36982 0.37481 0.38008 0.38562 0.3915 0.39765 0.40409 0.41081 0.41784 0.42519 0.43291 0.44095 0.44936 0.45811 0.46729 0.47682 0.48668 0.4969 0.50751 0.51851 0.53001 0.54198 0.55449 0.56771 0.5813 0.59556 0.61046 0.62607 0.64237 0.65947 0.67722 0.69596 0.71528 0.73553 0.75689 0.77923 0.80279 0.82738 0.853 0.88001 0.90831 0.93817 0.96946 1.0021 1.0366 1.073 1.1115 1.1515 1.1936 1.2383 1.2855 1.3348 1.3869 1.4421 1.5005 1.5616 1.6263 1.695 1.7671 1.8434 1.9244 2.0098 2.1 2.1955 2.2962 2.4025 2.5139 2.6303 2.75 2.8701 2.9851 3.0883 0.53383 0.53662 0.53995 0.54354 0.54745 0.55165 0.55611 0.56081 0.56562 0.57063 0.57576 0.58124 0.58692 0.59298 0.59923 0.60586 0.61266 0.61981 0.62734 0.63503 0.64323 0.6517 0.66032 0.66945 0.67861 0.68836 0.69868 0.709 0.72023 0.73182 0.74385 0.75623 0.76919 0.78284 0.79685 0.81134 0.82667 0.84243 0.85913 0.8769 0.89552 0.91467 0.93465 0.95576 0.97797 1.0011 1.0253 1.0507 1.0776 1.106 1.1356 1.1666 1.1996 1.2341 1.2701 1.308 1.3486 1.3913 1.4358 1.4828 1.5326 1.5854 1.641 1.6994 1.7609 1.8266 1.8954 1.9685 2.0457 2.1265 2.2129 2.3048 2.4004 2.5015 2.6096 2.721 2.8383 2.9583 3.0786 3.1958 3.2968
6 0.064373 0.18448 0.18648 0.18877 0.19133 0.19415 0.1972 0.20048 0.20398 0.20771 0.21168 0.2159 0.22039 0.22514 0.23019 0.23554 0.24119 0.24718 0.25351 0.26021 0.2673 0.27472 0.28259 0.29084 0.29954 0.30874 0.31842 0.32858 0.33928 0.35059 0.36249 0.37503 0.38825 0.40225 0.41688 0.43231 0.44861 0.46567 0.48365 0.50255 0.52237 0.54328 0.5651 0.58811 0.61226 0.63753 0.66416 0.69204 0.72125 0.75192 0.78404 0.81756 0.85267 0.88933 0.92762 0.96741 1.009 1.0523 1.0974 1.1446 1.1937 1.2451 1.2986 1.3549 1.414 1.4761 1.5416 1.6106 1.6834 1.7603 1.8414 1.9272 2.0177 2.1133 2.214 2.3201 2.4316 2.5478 2.6673 2.7871 2.9022 3.0055 0.20218 0.20426 0.20664 0.2093 0.21221 0.21535 0.21872 0....Graph Mean Values:
mp_support_graph('cl_st_graph_title') = {'MEAN(value(a,z)), a=x, z=color'};
mp_support_graph('cl_st_ytitle') = {'MEAN(value(a,z))'};
ff_graph_grid((tb_az_v{1:end, 3:end})', ar_st_eta_HS_grid, agrid, mp_support_graph);
Graph Mean Savings Choices:
mp_support_graph('cl_st_graph_title') = {'MEAN(APRIME(a,z)), a=x, z=color'};
mp_support_graph('cl_st_ytitle') = {'MEAN(APRIME(a,z))'};
ff_graph_grid((tb_az_ap{1:end, 3:end})', ar_st_eta_HS_grid, agrid, mp_support_graph);
Graph Mean Consumption:
mp_support_graph('cl_st_graph_title') = {'MEAN(C(a,z)), a=x, z=color'};
mp_support_graph('cl_st_ytitle') = {'MEAN(C(a,z))'};
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(VAL(KM,J)), MEAN(AP(KM,J)), MEAN(C(KM,J))
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(VAL(KM,J))", V_VFI, true, ["mean"], 3, 1, cl_mp_datasetdesc, ar_permute);
xxx MEAN(VAL(KM,J)) 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 -38.153 -36.95 -35.802 -34.709 -33.718 -32.818 -31.999 -31.251 -30.566 -29.937 -29.358 -28.824 -28.329 -27.869 -27.439 -27.036 -26.657 -26.298 -25.957 -25.631 -25.317 -25.015 -24.721 -24.435 -24.153 -23.876 -23.602 -23.329 -23.057 -22.784 -22.511 -22.235 -21.957 -21.676 -21.393 -21.11 -20.829 -20.553 -20.286 -20.032 -19.8 -19.601 -19.451 -19.382 -19.446 -19.759 -20.624 -23.724 -22.858 -21.997 -21.141 -20.289 -19.441 -18.601 -17.769 -16.945 -16.127 -15.315 -14.511 -13.721 -12.945 -12.182 -11.437 -10.71 -10.006 -9.3281 -8.6786 -8.0595 -7.472 -6.9158 -6.39 -5.8928 -5.4217 -4.9742 -4.5464 -4.1346 -3.7328 -3.3327 -2.9195 -2.4732 -1.9669 -1.3719 -0.67141
2 2 0 -45.736 -44.24 -42.778 -41.355 -40.041 -38.825 -37.699 -36.653 -35.682 -34.777 -33.935 -33.15 -32.417 -31.732 -31.09 -30.487 -29.921 -29.386 -28.881 -28.401 -27.944 -27.508 -27.091 -26.689 -26.3 -25.923 -25.556 -25.197 -24.845 -24.498 -24.155 -23.816 -23.478 -23.142 -22.808 -22.477 -22.153 -21.837 -21.533 -21.247 -20.986 -20.76 -20.589 -20.502 -20.557 -20.869 -21.759 -25.043 -24.131 -23.226 -22.327 -21.435 -20.549 -19.672 -18.805 -17.948 -17.098 -16.254 -15.421 -14.601 -13.797 -13.008 -12.235 -11.484 -10.756 -10.055 -9.3845 -8.7451 -8.1378 -7.5617 -7.0155 -6.4976 -6.0061 -5.5386 -5.0916 -4.6613 -4.2417 -3.8246 -3.3945 -2.9297 -2.3981 -1.7577 -0.94952
3 3 0 -49.467 -47.957 -46.467 -45.003 -43.644 -42.382 -41.206 -40.107 -39.08 -38.118 -37.215 -36.367 -35.57 -34.819 -34.11 -33.44 -32.805 -32.202 -31.628 -31.081 -30.558 -30.056 -29.573 -29.107 -28.657 -28.22 -27.794 -27.378 -26.971 -26.571 -26.178 -25.79 -25.405 -25.025 -24.648 -24.278 -23.915 -23.564 -23.227 -22.911 -22.622 -22.371 -22.178 -22.074 -22.118 -22.435 -23.373 -26.966 -25.995 -25.033 -24.081 -23.136 -22.199 -21.273 -20.359 -19.456 -18.561 -17.673 -16.797 -15.936 -15.091 -14.262 -13.452 -12.663 -11.899 -11.163 -10.457 -9.7819 -9.1385 -8.5262 -7.9442 -7.391 -6.8649 -6.3638 -5.8842 -5.4222 -4.9721 -4.5254 -4.0645 -3.5628 -2.9739 -2.2186 -1.1629
4 4 0 -53.322 -51.806 -50.292 -48.787 -47.384 -46.072 -44.842 -43.687 -42.599 -41.572 -40.603 -39.688 -38.821 -38 -37.221 -36.48 -35.775 -35.103 -34.461 -33.846 -33.257 -32.691 -32.146 -31.62 -31.111 -30.617 -30.137 -29.668 -29.211 -28.763 -28.324 -27.891 -27.465 -27.044 -26.63 -26.223 -25.827 -25.444 -25.078 -24.733 -24.419 -24.145 -23.932 -23.811 -23.849 -24.183 -25.193 -29.158 -28.128 -27.109 -26.101 -25.102 -24.113 -23.135 -22.172 -21.22 -20.277 -19.343 -18.42 -17.513 -16.623 -15.75 -14.896 -14.064 -13.257 -12.477 -11.726 -11.005 -10.316 -9.6579 -9.0306 -8.4328 -7.8627 -7.3186 -6.7968 -6.2937 -5.803 -5.3155 -4.8089 -4.2455 -3.5514 -2.6083 -1.3428
5 5 0 -56.129 -54.692 -53.245 -51.795 -50.441 -49.173 -47.982 -46.859 -45.796 -44.789 -43.833 -42.923 -42.057 -41.231 -40.441 -39.684 -38.959 -38.263 -37.593 -36.948 -36.325 -35.723 -35.14 -34.575 -34.026 -33.491 -32.969 -32.458 -31.959 -31.469 -30.988 -30.515 -30.048 -29.587 -29.134 -28.689 -28.256 -27.837 -27.435 -27.057 -26.709 -26.404 -26.164 -26.025 -26.061 -26.427 -27.544 -31.997 -30.889 -29.794 -28.712 -27.641 -26.581 -25.535 -24.504 -23.486 -22.478 -21.478 -20.491 -19.52 -18.567 -17.631 -16.714 -15.818 -14.946 -14.1 -13.282 -12.495 -11.74 -11.017 -10.326 -9.6653 -9.0335 -8.4291 -7.8482 -7.2871 -6.7381 -6.188 -5.6049 -4.9321 -4.0776 -2.9547 -1.5013
6 1 1 -26.282 -25.268 -24.319 -23.425 -22.612 -21.872 -21.199 -20.588 -20.032 -19.527 -19.069 -18.653 -18.276 -17.934 -17.625 -17.345 -17.091 -16.861 -16.653 -16.465 -16.295 -16.14 -16 -15.873 -15.757 -15.651 -15.555 -15.466 -15.384 -15.308 -15.238 -15.172 -15.11 -15.051 -14.996 -14.946 -14.902 -14.865 -14.839 -14.826 -14.83 -14.859 -14.923 -15.038 -15.234 -15.568 -16.175 -17.869 -17.408 -16.936 -16.453 -15.959 -15.453 -14.938 -14.416 -13.885 -13.344 -12.794 -12.237 -11.676 -11.114 -10.552 -9.9902 -9.4333 -8.884 -8.3461 -7.8226 -7.3151 -6.8259 -6.3554 -5.9038 -5.4707 -5.0552 -4.6561 -4.2707 -3.8958 -3.526 -3.1537 -2.7647 -2.341 -1.8582 -1.2941 -0.64139
7 2 1 -30.883 -29.746 -28.66 -27.617 -26.65 -25.755 -24.927 -24.16 -23.449 -22.792 -22.185 -21.625 -21.108 -20.631 -20.193 -19.789 -19.418 -19.077 -18.764 -18.476 -18.212 -17.97 -17.747 -17.543 -17.355 -17.182 -17.022 -16.875 -16.739 -16.612 -16.495 -16.385 -16.281 -16.184 -16.094 -16.011 -15.937 -15.872 -15.82 -15.783 -15.766 -15.775 -15.821 -15.918 -16.097 -16.411 -16.994 -18.578 -18.097 -17.606 -17.104 -16.592 -16.069 -15.538 -15 -14.453 -13.897 -13.332 -12.761 -12.187 -11.611 -11.035 -10.461 -9.8909 -9.3288 -8.7777 -8.2408 -7.7201 -7.2178 -6.7346 -6.2704 -5.8251 -5.3978 -4.9877 -4.5915 -4.2063 -3.8261 -3.443 -3.0421 -2.6041 -2.102 -1.5057 -0.78487
8 3 1 -33.096 -31.952 -30.853 -29.79 -28.803 -27.886 -27.034 -26.242 -25.507 -24.823 -24.188 -23.599 -23.053 -22.547 -22.078 -21.643 -21.241 -20.869 -20.525 -20.207 -19.912 -19.639 -19.387 -19.153 -18.935 -18.734 -18.546 -18.371 -18.208 -18.055 -17.912 -17.777 -17.65 -17.53 -17.417 -17.312 -17.216 -17.13 -17.058 -17.001 -16.963 -16.951 -16.973 -17.044 -17.193 -17.472 -18.019 -19.514 -19.014 -18.504 -17.984 -17.454 -16.914 -16.365 -15.809 -15.246 -14.674 -14.091 -13.503 -12.913 -12.321 -11.728 -11.136 -10.548 -9.9674 -9.3972 -8.8409 -8.3005 -7.7785 -7.2757 -6.7924 -6.3283 -5.8826 -5.4543 -5.0407 -4.638 -4.2402 -3.8385 -3.4169 -2.9527 -2.4113 -1.7444 -0.90048
9 4 1 -35.694 -34.564 -33.469 -32.399 -31.401 -30.469 -29.597 -28.781 -28.017 -27.301 -26.631 -26.004 -25.418 -24.87 -24.358 -23.88 -23.434 -23.018 -22.629 -22.267 -21.929 -21.614 -21.32 -21.046 -20.79 -20.551 -20.326 -20.116 -19.919 -19.734 -19.56 -19.394 -19.238 -19.089 -18.949 -18.816 -18.694 -18.583 -18.484 -18.399 -18.334 -18.291 -18.28 -18.316 -18.425 -18.665 -19.18 -20.592 -20.073 -19.544 -19.006 -18.457 -17.898 -17.331 -16.758 -16.177 -15.586 -14.986 -14.379 -13.77 -13.159 -12.546 -11.933 -11.324 -10.72 -10.126 -9.5454 -8.9807 -8.4344 -7.9074 -7.4 -6.9122 -6.443 -5.9915 -5.5548 -5.129 -4.7073 -4.2802 -3.8286 -3.3237 -2.7193 -1.9567 -1.0047
10 5 1 -37.748 -36.679 -35.641 -34.621 -33.672 -32.788 -31.962 -31.189 -30.463 -29.782 -29.142 -28.541 -27.977 -27.445 -26.946 -26.476 -26.033 -25.617 -25.225 -24.856 -24.508 -24.18 -23.871 -23.579 -23.304 -23.043 -22.796 -22.561 -22.339 -22.127 -21.924 -21.73 -21.544 -21.364 -21.191 -21.025 -20.866 -20.717 -20.578 -20.451 -20.34 -20.248 -20.185 -20.167 -20.225 -20.424 -20.928 -22.364 -21.808 -21.242 -20.667 -20.082 -19.487 -18.884 -18.274 -17.657 -17.031 -16.394 -15.751 -15.104 -14.454 -13.801 -13.147 -12.495 -11.848 -11.21 -10.586 -9.9779 -9.3884 -8.8185 -8.2692 -7.7403 -7.2308 -6.7395 -6.263 -5.7977 -5.3354 -4.8641 -4.3591 -3.7833 -3.0848 -2.2113 -1.1284
% Aprime Choice
tb_az_ap = ff_summ_nd_array("MEAN(AP(KM,J))", ap_VFI, true, ["mean"], 3, 1, cl_mp_datasetdesc, ar_permute);
xxx MEAN(AP(KM,J)) 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 34.497 34.459 34.419 34.455 34.493 34.531 34.57 34.608 34.645 34.681 34.716 34.749 34.78 34.808 34.835 34.859 34.88 34.899 34.916 34.93 34.942 34.952 34.959 34.965 34.97 34.973 34.974 34.974 34.974 34.972 34.97 34.968 34.965 34.962 34.959 34.956 34.955 34.954 34.954 34.956 34.96 34.966 34.975 34.987 35.004 35.025 35.052 33.183 33.124 33.061 32.994 32.922 32.846 32.763 32.675 32.594 32.516 32.43 32.332 32.223 32.101 31.966 31.815 31.646 31.459 31.25 31.036 30.833 30.599 30.332 30.022 29.665 29.321 28.914 28.41 27.865 27.185 26.347 25.214 23.595 20.936 15.697 0
2 2 0 34.303 34.259 34.213 34.242 34.272 34.302 34.332 34.361 34.389 34.416 34.441 34.464 34.485 34.505 34.522 34.537 34.55 34.56 34.569 34.575 34.58 34.583 34.584 34.584 34.582 34.58 34.576 34.572 34.566 34.561 34.555 34.549 34.544 34.538 34.533 34.529 34.526 34.525 34.525 34.527 34.532 34.54 34.552 34.568 34.589 34.616 34.65 32.779 32.709 32.636 32.57 32.506 32.436 32.358 32.272 32.179 32.076 31.963 31.839 31.703 31.553 31.389 31.206 31.02 30.844 30.643 30.414 30.154 29.859 29.54 29.236 28.875 28.45 27.991 27.492 26.854 26.163 25.252 24.065 22.417 19.745 14.643 0
3 3 0 34.149 34.105 34.058 34.086 34.115 34.143 34.172 34.199 34.226 34.251 34.275 34.296 34.315 34.333 34.347 34.36 34.37 34.379 34.384 34.388 34.39 34.391 34.389 34.386 34.382 34.377 34.371 34.364 34.357 34.349 34.342 34.334 34.327 34.32 34.313 34.308 34.304 34.302 34.302 34.305 34.311 34.32 34.333 34.351 34.375 34.405 34.444 32.58 32.523 32.462 32.394 32.321 32.241 32.153 32.059 31.956 31.845 31.723 31.59 31.445 31.286 31.112 30.95 30.781 30.587 30.367 30.119 29.842 29.544 29.262 28.935 28.555 28.126 27.702 27.181 26.58 25.887 25.033 23.907 22.328 19.836 14.982 0
4 4 0 34.057 34.013 33.967 33.996 34.024 34.053 34.081 34.108 34.134 34.159 34.181 34.202 34.22 34.236 34.249 34.26 34.269 34.275 34.28 34.282 34.282 34.28 34.277 34.272 34.266 34.259 34.252 34.243 34.234 34.225 34.216 34.207 34.199 34.191 34.184 34.178 34.174 34.172 34.172 34.175 34.181 34.191 34.206 34.225 34.251 34.286 34.333 32.489 32.428 32.362 32.29 32.213 32.129 32.038 31.941 31.836 31.722 31.597 31.462 31.315 31.153 30.995 30.841 30.666 30.468 30.245 29.997 29.721 29.446 29.163 28.837 28.464 28.057 27.643 27.14 26.569 25.914 25.099 24.029 22.548 20.131 15.174 0
5 5 0 33.974 33.933 33.889 33.919 33.95 33.981 34.011 34.041 34.069 34.096 34.12 34.143 34.162 34.18 34.195 34.207 34.217 34.224 34.229 34.231 34.232 34.23 34.227 34.222 34.216 34.209 34.201 34.192 34.183 34.174 34.164 34.155 34.146 34.138 34.131 34.125 34.121 34.118 34.119 34.122 34.129 34.139 34.155 34.175 34.203 34.241 34.291 32.453 32.391 32.324 32.252 32.174 32.09 32.001 31.904 31.8 31.687 31.564 31.431 31.285 31.126 30.976 30.823 30.652 30.46 30.244 30.005 29.737 29.468 29.195 28.884 28.531 28.131 27.738 27.269 26.705 26.101 25.305 24.281 22.807 20.343 15.302 0
6 1 1 35.212 35.25 35.288 35.417 35.549 35.682 35.817 35.952 36.085 36.215 36.342 36.465 36.581 36.692 36.795 36.891 36.979 37.057 37.128 37.189 37.241 37.283 37.317 37.343 37.359 37.368 37.369 37.362 37.349 37.329 37.304 37.273 37.238 37.199 37.156 37.111 37.064 37.015 36.966 36.918 36.87 36.824 36.781 36.741 36.706 36.676 36.655 34.085 33.991 33.894 33.794 33.69 33.582 33.469 33.357 33.248 33.135 33.016 32.888 32.75 32.601 32.442 32.271 32.083 31.876 31.647 31.417 31.184 30.925 30.64 30.315 29.948 29.582 29.167 28.658 28.1 27.419 26.571 25.43 23.803 21.124 15.843 0
7 2 1 34.954 34.979 35.003 35.113 35.226 35.339 35.453 35.566 35.677 35.785 35.889 35.989 36.084 36.172 36.255 36.331 36.399 36.46 36.514 36.56 36.599 36.63 36.653 36.67 36.679 36.682 36.679 36.67 36.655 36.636 36.612 36.584 36.553 36.519 36.482 36.443 36.404 36.364 36.325 36.286 36.249 36.214 36.182 36.154 36.131 36.114 36.105 33.842 33.744 33.641 33.535 33.429 33.326 33.22 33.11 32.994 32.871 32.739 32.598 32.449 32.29 32.115 31.924 31.714 31.495 31.28 31.043 30.787 30.504 30.186 29.843 29.494 29.102 28.637 28.135 27.553 26.832 25.953 24.801 23.128 20.477 15.287 0
8 3 1 34.711 34.728 34.743 34.842 34.943 35.045 35.147 35.249 35.348 35.445 35.538 35.627 35.711 35.79 35.863 35.93 35.991 36.045 36.091 36.131 36.165 36.191 36.211 36.224 36.231 36.233 36.229 36.22 36.206 36.188 36.166 36.141 36.113 36.083 36.05 36.017 35.983 35.948 35.915 35.882 35.852 35.824 35.799 35.778 35.761 35.751 35.747 33.739 33.634 33.531 33.431 33.327 33.221 33.111 32.995 32.873 32.743 32.605 32.458 32.301 32.133 31.949 31.748 31.536 31.33 31.106 30.862 30.597 30.302 29.975 29.652 29.296 28.891 28.424 27.938 27.344 26.647 25.768 24.646 23.037 20.477 15.394 0
9 4 1 34.51 34.519 34.527 34.617 34.708 34.801 34.893 34.984 35.074 35.16 35.243 35.323 35.397 35.467 35.531 35.589 35.641 35.687 35.727 35.761 35.788 35.81 35.825 35.836 35.84 35.84 35.835 35.826 35.813 35.796 35.776 35.753 35.728 35.702 35.674 35.645 35.615 35.586 35.558 35.532 35.507 35.486 35.467 35.452 35.441 35.436 35.438 33.655 33.554 33.456 33.355 33.25 33.142 33.029 32.911 32.786 32.653 32.513 32.363 32.203 32.03 31.843 31.64 31.439 31.232 31.006 30.761 30.494 30.197 29.878 29.56 29.207 28.805 28.351 27.873 27.288 26.616 25.761 24.679 23.111 20.579 15.47 0
10 5 1 34.225 34.221 34.216 34.29 34.367 34.444 34.522 34.598 34.673 34.746 34.816 34.883 34.945 35.003 35.057 35.106 35.149 35.187 35.221 35.249 35.272 35.289 35.303 35.311 35.316 35.316 35.313 35.306 35.296 35.284 35.269 35.252 35.234 35.214 35.194 35.173 35.153 35.133 35.114 35.097 35.082 35.069 35.059 35.053 35.051 35.055 35.066 33.441 33.35 33.258 33.162 33.064 32.961 32.853 32.739 32.62 32.493 32.359 32.215 32.059 31.89 31.707 31.508 31.317 31.116 30.897 30.662 30.402 30.11 29.8 29.492 29.154 28.764 28.318 27.862 27.301 26.647 25.824 24.773 23.208 20.656 15.53 0
% Consumption Choices
tb_az_c = ff_summ_nd_array("MEAN(C(KM,J))", cons_VFI, true, ["mean"], 3, 1, cl_mp_datasetdesc, ar_permute);
xxx MEAN(C(KM,J)) 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 2.0602 2.0988 2.1385 2.1805 2.2207 2.2589 2.2952 2.3296 2.362 2.3926 2.4213 2.4482 2.4732 2.4966 2.5183 2.5384 2.5571 2.5743 2.5901 2.6047 2.6181 2.6302 2.6413 2.6512 2.6601 2.668 2.6748 2.6806 2.6854 2.6891 2.6916 2.693 2.6932 2.692 2.6894 2.685 2.6787 2.6701 2.659 2.645 2.6277 2.6068 2.5814 2.5512 2.5153 2.4729 2.4226 2.3673 2.4262 2.489 2.5559 2.6275 2.7042 2.7865 2.8746 2.9561 3.0334 3.1202 3.2179 3.3269 3.4484 3.5839 3.735 3.9033 4.0909 4.3 4.514 4.7171 4.9504 5.218 5.5274 5.8851 6.2291 6.6354 7.14 7.685 8.3652 9.2031 10.336 11.954 14.613 19.853 35.55
2 2 0 2.2548 2.2985 2.3445 2.3938 2.4417 2.4882 2.5332 2.5766 2.6183 2.6583 2.6965 2.7329 2.7674 2.8002 2.8311 2.8602 2.8875 2.9131 2.937 2.9593 2.98 2.9991 3.0168 3.033 3.0477 3.061 3.0729 3.0835 3.0926 3.1003 3.1065 3.1111 3.1142 3.1156 3.115 3.1122 3.1072 3.0993 3.0883 3.0738 3.0554 3.0325 3.0044 2.9706 2.9297 2.8814 2.8242 2.7712 2.8412 2.9142 2.9801 3.0436 3.1141 3.192 3.2776 3.3713 3.474 3.587 3.7109 3.8469 3.9964 4.1613 4.3437 4.5298 4.7055 4.9064 5.1361 5.3963 5.6912 6.0097 6.3136 6.6748 7.0997 7.559 8.0581 8.6957 9.3871 10.298 11.485 13.133 15.805 20.907 35.55
3 3 0 2.4085 2.4527 2.4992 2.5498 2.5989 2.6467 2.693 2.7378 2.7811 2.8227 2.8626 2.901 2.9375 2.9724 3.0055 3.037 3.0667 3.0948 3.1213 3.1462 3.1695 3.1913 3.2116 3.2303 3.2476 3.2635 3.2778 3.2908 3.3022 3.312 3.3201 3.3266 3.3313 3.3341 3.3349 3.3332 3.3288 3.3215 3.3106 3.296 3.2769 3.2529 3.2233 3.1873 3.1437 3.0922 3.0305 2.9695 3.0264 3.088 3.1555 3.2289 3.3093 3.3964 3.491 3.5934 3.7049 3.8267 3.9598 4.105 4.2641 4.4381 4.5998 4.7689 4.9625 5.1826 5.4308 5.7077 6.0055 6.2877 6.6144 6.9946 7.4239 7.848 8.3691 8.9695 9.6624 10.517 11.643 13.222 15.714 20.568 35.55
4 4 0 2.5011 2.5444 2.5902 2.6404 2.6895 2.7373 2.7838 2.8289 2.8727 2.915 2.9559 2.9952 3.0329 3.0691 3.1036 3.1366 3.1681 3.1979 3.2261 3.2528 3.278 3.3016 3.3238 3.3444 3.3636 3.3812 3.3973 3.4118 3.4247 3.436 3.4455 3.4533 3.4591 3.4628 3.4643 3.4633 3.4593 3.4521 3.4412 3.4262 3.4065 3.3816 3.3507 3.3131 3.2677 3.2117 3.1419 3.0608 3.1216 3.188 3.2595 3.337 3.421 3.5114 3.6088 3.714 3.8282 3.9524 4.0877 4.2352 4.3966 4.555 4.7086 4.8839 5.0821 5.3049 5.5531 5.8293 6.1038 6.3871 6.7126 7.0857 7.4927 7.9068 8.4095 8.9809 9.6363 10.45 11.521 13.002 15.419 20.376 35.55
5 5 0 2.5841 2.625 2.6684 2.7166 2.7635 2.809 2.8533 2.8962 2.9378 2.978 3.0169 3.0544 3.0904 3.1251 3.1583 3.1901 3.2205 3.2495 3.2771 3.3033 3.3281 3.3516 3.3736 3.3943 3.4135 3.4314 3.4478 3.4627 3.476 3.4875 3.4975 3.5056 3.5118 3.5158 3.5176 3.5165 3.5127 3.5054 3.4943 3.479 3.4588 3.4332 3.4018 3.3633 3.316 3.2564 3.1838 3.0964 3.1587 3.2256 3.2977 3.3757 3.4593 3.5493 3.6459 3.7502 3.863 3.9857 4.1191 4.2646 4.424 4.5737 4.7264 4.8976 5.0901 5.3055 5.545 5.8129 6.0822 6.3551 6.6658 7.0188 7.4186 7.8114 8.2806 8.8448 9.4487 10.245 11.269 12.743 15.207 20.247 35.55
6 1 1 2.6152 2.6754 2.7367 2.8014 2.8634 2.9226 2.9788 3.0319 3.0817 3.1282 3.1713 3.211 3.2472 3.2801 3.3096 3.3359 3.3591 3.3792 3.3965 3.4108 3.4225 3.4316 3.4382 3.4424 3.4443 3.4441 3.4417 3.4374 3.431 3.4228 3.4127 3.4007 3.3868 3.3711 3.3533 3.3333 3.311 3.2859 3.2578 3.2266 3.1916 3.1525 3.1087 3.0598 3.0045 2.9421 2.8707 2.7588 2.8109 2.8662 2.9258 2.99 3.0595 3.1351 3.2112 3.2854 3.3652 3.4513 3.5484 3.6566 3.7772 3.9091 4.054 4.217 4.4013 4.6077 4.8167 5.0305 5.2709 5.538 5.8473 6.1995 6.5512 6.9537 7.4508 7.9978 8.6694 9.5079 10.642 12.262 14.936 20.212 36.052
7 2 1 2.678 2.7363 2.7967 2.8619 2.9253 2.9868 3.0461 3.1032 3.1578 3.2098 3.2591 3.3056 3.349 3.3894 3.4268 3.4611 3.4923 3.5205 3.5456 3.5677 3.587 3.6033 3.6169 3.6278 3.6361 3.6418 3.645 3.6459 3.6444 3.6406 3.6345 3.6261 3.6155 3.6026 3.5874 3.5696 3.5489 3.5252 3.4982 3.4674 3.4326 3.3933 3.3489 3.2988 3.2423 3.1782 3.1052 3.008 3.0642 3.1253 3.191 3.257 3.3209 3.39 3.4634 3.544 3.6332 3.7329 3.8431 3.9623 4.0928 4.2398 4.4048 4.5898 4.7857 4.9785 5.194 5.4307 5.6946 5.9959 6.3227 6.6559 7.0344 7.4862 7.9762 8.5473 9.2591 10.129 11.273 12.94 15.586 20.77 36.054
8 3 1 2.7864 2.8428 2.9018 2.966 3.0285 3.0891 3.1476 3.204 3.258 3.3095 3.3585 3.4048 3.4482 3.4889 3.5266 3.5614 3.5933 3.6223 3.6484 3.6717 3.6922 3.71 3.7251 3.7376 3.7475 3.7549 3.76 3.7626 3.7629 3.7608 3.7565 3.7498 3.7408 3.7295 3.7157 3.6992 3.6798 3.6573 3.6312 3.6014 3.5673 3.5287 3.485 3.4357 3.3799 3.317 3.2455 3.1625 3.2225 3.2826 3.3407 3.4028 3.4691 3.54 3.6181 3.7042 3.799 3.9031 4.0176 4.1432 4.282 4.4376 4.6112 4.7975 4.9789 5.1796 5.4024 5.6468 5.922 6.2314 6.5374 6.8777 7.2677 7.7214 8.1955 8.778 9.4647 10.334 11.448 13.051 15.605 20.683 36.074
9 4 1 2.8495 2.9021 2.9575 3.0183 3.0775 3.135 3.1906 3.2444 3.2962 3.3458 3.3932 3.4382 3.4808 3.5209 3.5584 3.5934 3.6257 3.6555 3.6826 3.7071 3.7289 3.7483 3.7651 3.7794 3.7912 3.8007 3.8077 3.8124 3.8148 3.8148 3.8124 3.8078 3.8008 3.7914 3.7794 3.7648 3.7471 3.7262 3.7018 3.6734 3.6409 3.6037 3.5616 3.5141 3.4605 3.3999 3.3307 3.2621 3.3184 3.3729 3.4315 3.4949 3.5618 3.6351 3.7157 3.8032 3.9004 4.0066 4.1242 4.2522 4.3948 4.5533 4.7295 4.904 5.0862 5.2892 5.5115 5.7577 6.0351 6.3358 6.6368 6.9736 7.3617 7.8019 8.2668 8.8409 9.5026 10.348 11.423 12.983 15.509 20.613 36.08
10 5 1 2.9142 2.9626 3.0136 3.0698 3.124 3.1763 3.2267 3.2749 3.3212 3.3654 3.4075 3.4474 3.4851 3.5206 3.5538 3.5848 3.6136 3.6401 3.6644 3.6864 3.7063 3.724 3.7396 3.753 3.7643 3.7735 3.7807 3.7858 3.7888 3.7897 3.7885 3.7852 3.7796 3.7718 3.7616 3.7487 3.733 3.7142 3.692 3.6661 3.6363 3.6022 3.5634 3.5194 3.4695 3.4126 3.3464 3.286 3.3388 3.3936 3.4525 3.5146 3.5829 3.6566 3.7374 3.8255 3.9213 4.0263 4.1421 4.2707 4.4135 4.5724 4.7469 4.9159 5.0958 5.2945 5.5108 5.7531 6.0281 6.3225 6.615 6.9396 7.317 7.7507 8.1964 8.748 9.3931 10.208 11.252 12.811 15.358 20.48 36.007 Graph Mean Values:
mp_support_graph('cl_st_graph_title') = {'MEAN(value(KM,J)), a=age, z=kids+marry'};
mp_support_graph('cl_st_ytitle') = {'MEAN(value(KM,J))'};
ff_graph_grid((tb_az_v{1:end, 4:end}), ar_row_grid, age_grid, mp_support_graph);
Graph Mean Savings Choices:
mp_support_graph('cl_st_graph_title') = {'MEAN(APRIME(KM,J)), a=x, z=color'};
mp_support_graph('cl_st_ytitle') = {'MEAN(APRIME(KM,J))'};
ff_graph_grid((tb_az_ap{1:end, 4:end}), ar_row_grid, age_grid, mp_support_graph);
Graph Mean Consumption:
mp_support_graph('cl_st_graph_title') = {'MEAN(C(KM,J)), a=x, z=color'};
mp_support_graph('cl_st_ytitle') = {'MEAN(C(KM,J))'};
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(VAL(EKM,J)), MEAN(AP(EKM,J)), MEAN(C(EKM,J))
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(VAL(EKM,J))", V_VFI, true, ["mean"], 3, 1, cl_mp_datasetdesc, ar_permute);
xxx MEAN(VAL(EKM,J)) 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 -51.853 -50.513 -49.192 -47.891 -46.665 -45.509 -44.416 -43.382 -42.402 -41.472 -40.589 -39.749 -38.951 -38.191 -37.465 -36.773 -36.11 -35.475 -34.866 -34.28 -33.716 -33.171 -32.643 -32.132 -31.635 -31.15 -30.677 -30.213 -29.757 -29.309 -28.867 -28.43 -27.996 -27.566 -27.14 -26.72 -26.307 -25.905 -25.517 -25.149 -24.807 -24.505 -24.26 -24.106 -24.107 -24.394 -25.331 -28.968 -27.935 -26.912 -25.898 -24.892 -23.894 -22.907 -21.932 -20.968 -20.013 -19.065 -18.128 -17.208 -16.303 -15.416 -14.547 -13.701 -12.881 -12.088 -11.328 -10.6 -9.9053 -9.2443 -8.6155 -8.0177 -7.4486 -6.9061 -6.3861 -5.8847 -5.3953 -4.9081 -4.4017 -3.8421 -3.1714 -2.3139 -1.1947
2 1 0 -45.27 -43.745 -42.242 -40.768 -39.426 -38.199 -37.074 -36.04 -35.087 -34.205 -33.389 -32.631 -31.927 -31.269 -30.655 -30.078 -29.536 -29.025 -28.542 -28.083 -27.645 -27.227 -26.825 -26.438 -26.064 -25.7 -25.346 -25 -24.66 -24.325 -23.995 -23.669 -23.345 -23.023 -22.705 -22.391 -22.085 -21.789 -21.507 -21.243 -21.007 -20.808 -20.666 -20.612 -20.706 -21.074 -22.067 -25.787 -24.865 -23.951 -23.046 -22.149 -21.259 -20.38 -19.512 -18.654 -17.803 -16.96 -16.127 -15.309 -14.506 -13.717 -12.946 -12.195 -11.465 -10.761 -10.084 -9.4351 -8.8165 -8.2274 -7.667 -7.1341 -6.6269 -6.1437 -5.6808 -5.2349 -4.7998 -4.3664 -3.9152 -3.4152 -2.8157 -2.0506 -1.0565
3 0 1 -35.075 -33.966 -32.905 -31.884 -30.931 -30.041 -29.21 -28.434 -27.709 -27.032 -26.4 -25.811 -25.261 -24.749 -24.272 -23.828 -23.415 -23.03 -22.672 -22.338 -22.028 -21.739 -21.469 -21.218 -20.984 -20.765 -20.56 -20.367 -20.186 -20.016 -19.856 -19.703 -19.558 -19.419 -19.287 -19.163 -19.048 -18.942 -18.848 -18.769 -18.709 -18.672 -18.669 -18.716 -18.841 -19.102 -19.644 -21.148 -20.606 -20.055 -19.492 -18.919 -18.334 -17.741 -17.14 -16.531 -15.911 -15.282 -14.646 -14.007 -13.367 -12.725 -12.085 -11.448 -10.82 -10.202 -9.5999 -9.0147 -8.4493 -7.9044 -7.3802 -6.8766 -6.3925 -5.9271 -5.4771 -5.039 -4.606 -4.1683 -3.7069 -3.195 -2.5929 -1.8557 -0.9498
4 1 1 -30.407 -29.317 -28.272 -27.257 -26.324 -25.467 -24.677 -23.95 -23.278 -22.658 -22.086 -21.558 -21.071 -20.622 -20.207 -19.825 -19.472 -19.147 -18.847 -18.57 -18.315 -18.079 -17.861 -17.659 -17.473 -17.299 -17.139 -16.989 -16.849 -16.718 -16.596 -16.481 -16.372 -16.268 -16.171 -16.081 -15.998 -15.925 -15.863 -15.815 -15.784 -15.778 -15.803 -15.878 -16.029 -16.314 -16.875 -18.42 -17.953 -17.478 -16.993 -16.499 -15.994 -15.482 -14.963 -14.437 -13.902 -13.357 -12.806 -12.253 -11.697 -11.139 -10.582 -10.028 -9.4793 -8.9405 -8.4144 -7.9031 -7.4087 -6.9322 -6.4741 -6.0341 -5.6112 -5.2046 -4.8112 -4.4277 -4.048 -3.6635 -3.2577 -2.8069 -2.2773 -1.6292 -0.83413
% Aprime Choice
tb_az_ap = ff_summ_nd_array("MEAN(AP(EKM,J))", ap_VFI, true, ["mean"], 3, 1, cl_mp_datasetdesc, ar_permute);
xxx MEAN(AP(EKM,J)) 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 34.297 34.264 34.23 34.24 34.251 34.261 34.27 34.278 34.286 34.293 34.299 34.305 34.309 34.313 34.315 34.317 34.318 34.319 34.318 34.317 34.315 34.312 34.309 34.305 34.3 34.295 34.289 34.283 34.276 34.269 34.262 34.255 34.247 34.24 34.232 34.225 34.218 34.212 34.208 34.204 34.202 34.202 34.205 34.211 34.221 34.236 34.258 32.701 32.639 32.573 32.504 32.432 32.353 32.267 32.175 32.077 31.973 31.86 31.735 31.598 31.448 31.292 31.131 30.957 30.768 30.554 30.318 30.061 29.788 29.502 29.186 28.82 28.419 27.999 27.497 26.913 26.244 25.4 24.291 22.728 20.187 15.151 0
2 1 0 34.094 34.043 33.989 34.039 34.091 34.143 34.196 34.248 34.299 34.348 34.394 34.437 34.476 34.512 34.544 34.572 34.596 34.616 34.633 34.646 34.655 34.662 34.666 34.667 34.667 34.664 34.661 34.656 34.65 34.643 34.637 34.631 34.625 34.62 34.616 34.614 34.614 34.616 34.621 34.63 34.643 34.66 34.683 34.712 34.748 34.794 34.85 32.693 32.631 32.565 32.496 32.423 32.344 32.258 32.166 32.069 31.965 31.851 31.727 31.59 31.44 31.283 31.123 30.949 30.76 30.546 30.31 30.053 29.778 29.494 29.18 28.816 28.415 27.997 27.5 26.917 26.255 25.414 24.308 22.75 20.209 15.168 0
3 0 1 34.773 34.793 34.812 34.883 34.955 35.027 35.098 35.168 35.238 35.305 35.37 35.433 35.492 35.548 35.6 35.649 35.693 35.732 35.767 35.797 35.823 35.843 35.859 35.869 35.875 35.877 35.873 35.866 35.855 35.84 35.821 35.799 35.775 35.747 35.718 35.687 35.654 35.621 35.587 35.553 35.52 35.489 35.459 35.431 35.406 35.384 35.368 33.654 33.56 33.465 33.368 33.269 33.167 33.06 32.949 32.833 32.712 32.582 32.444 32.297 32.137 31.962 31.772 31.575 31.369 31.149 30.913 30.659 30.376 30.065 29.742 29.391 29 28.55 28.065 27.488 26.804 25.947 24.836 23.228 20.635 15.482 0
4 1 1 34.672 34.686 34.698 34.828 34.962 35.098 35.235 35.371 35.505 35.636 35.762 35.882 35.995 36.102 36.2 36.29 36.371 36.442 36.505 36.558 36.603 36.638 36.665 36.684 36.695 36.699 36.696 36.687 36.673 36.653 36.63 36.602 36.572 36.539 36.505 36.469 36.433 36.398 36.364 36.333 36.304 36.278 36.257 36.241 36.231 36.228 36.236 33.851 33.749 33.647 33.543 33.435 33.326 33.213 33.096 32.975 32.847 32.711 32.564 32.408 32.241 32.06 31.864 31.661 31.45 31.226 30.985 30.726 30.439 30.126 29.802 29.448 29.058 28.608 28.121 27.546 26.86 26.004 24.896 23.287 20.69 15.527 0
% Consumption Choices
tb_az_c = ff_summ_nd_array("MEAN(C(EKM,J))", cons_VFI, true, ["mean"], 3, 1, cl_mp_datasetdesc, ar_permute);
xxx MEAN(C(EKM,J)) 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 2.2603 2.2935 2.3281 2.3646 2.4003 2.4353 2.4696 2.5031 2.5358 2.5676 2.5986 2.6288 2.658 2.6863 2.7137 2.7402 2.7657 2.7903 2.8139 2.8365 2.8582 2.8789 2.8985 2.9172 2.9348 2.9515 2.967 2.9815 2.9948 3.007 3.0179 3.0275 3.0359 3.0427 3.0481 3.0516 3.0531 3.0523 3.049 3.0428 3.0334 3.0204 3.0034 2.9817 2.9543 2.9198 2.8768 2.831 2.8926 2.9586 3.0274 3.1002 3.1792 3.2647 3.3572 3.4547 3.5584 3.6722 3.7968 3.9336 4.0837 4.2399 4.4006 4.5748 4.7642 4.9777 5.2135 5.4705 5.7438 6.0293 6.3454 6.7115 7.1126 7.5332 8.0346 8.619 9.2873 10.131 11.241 12.804 15.345 20.381 35.532
2 1 0 2.4632 2.5143 2.5682 2.6279 2.6854 2.7407 2.7938 2.8446 2.893 2.939 2.9827 3.0239 3.0626 3.099 3.133 3.1647 3.1942 3.2216 3.2468 3.27 3.2913 3.3107 3.3283 3.3441 3.3581 3.3705 3.3812 3.3903 3.3975 3.403 3.4066 3.4083 3.408 3.4054 3.4003 3.3925 3.3816 3.367 3.3484 3.3251 3.2967 3.2623 3.2213 3.1725 3.1147 3.0461 2.9644 2.8752 2.937 3.0032 3.0721 3.1449 3.224 3.3095 3.402 3.4993 3.6029 3.7166 3.8413 3.9779 4.1281 4.285 4.4448 4.6186 4.8083 5.0221 5.2581 5.5148 5.7895 6.0737 6.3881 6.7521 7.153 7.571 8.0683 8.6514 9.3126 10.154 11.26 12.818 15.359 20.4 35.568
3 0 1 2.623 2.6679 2.714 2.7624 2.8096 2.8557 2.9005 2.944 2.9859 3.0262 3.0648 3.1016 3.1366 3.1696 3.2006 3.2296 3.2566 3.2815 3.3044 3.3252 3.344 3.3607 3.3755 3.3882 3.399 3.4079 3.4149 3.42 3.4233 3.4248 3.4244 3.4222 3.4183 3.4125 3.4049 3.3952 3.3832 3.3689 3.352 3.3322 3.3095 3.2833 3.2535 3.2197 3.1813 3.1377 3.0875 3.0279 3.0842 3.1426 3.2037 3.2679 3.3359 3.4095 3.4886 3.573 3.6649 3.7654 3.8756 3.9968 4.1315 4.2819 4.4489 4.6243 4.8092 5.0098 5.2268 5.4636 5.7299 6.0255 6.3339 6.6716 7.0509 7.4888 7.9636 8.5307 9.2063 10.056 11.16 12.763 15.35 20.499 35.978
4 1 1 2.9143 2.9798 3.0485 3.1246 3.1978 3.2682 3.3354 3.3994 3.4601 3.5173 3.571 3.6211 3.6676 3.7103 3.7495 3.785 3.817 3.8455 3.8705 3.8923 3.9108 3.9262 3.9385 3.9478 3.9543 3.9581 3.9592 3.9576 3.9535 3.9467 3.9374 3.9256 3.9112 3.8941 3.8741 3.8511 3.8247 3.7946 3.7604 3.7217 3.678 3.6289 3.5736 3.5114 3.4413 3.3623 3.2719 3.163 3.2177 3.2737 3.3328 3.3959 3.4618 3.5331 3.6097 3.692 3.7828 3.8827 3.9945 4.1172 4.2526 4.403 4.5697 4.7454 4.93 5.13 5.3473 5.5839 5.8504 6.1439 6.4498 6.7869 7.1618 7.5967 8.0708 8.6342 9.3093 10.155 11.255 12.856 15.447 20.605 36.128 Graph Mean Values:
mp_support_graph('cl_st_graph_title') = {'MEAN(value(EM,J)), a=age, z=kids+marry'};
mp_support_graph('cl_st_ytitle') = {'MEAN(value(EM,J))'};
ff_graph_grid((tb_az_v{1:end, 4:end}), ar_row_grid, age_grid, mp_support_graph);
Graph Mean Savings Choices:
mp_support_graph('cl_st_graph_title') = {'MEAN(APRIME(EK,J)), a=x, z=color'};
mp_support_graph('cl_st_ytitle') = {'MEAN(APRIME(EK,J))'};
ff_graph_grid((tb_az_ap{1:end, 4:end}), ar_row_grid, age_grid, mp_support_graph);
Graph Mean Consumption:
mp_support_graph('cl_st_graph_title') = {'MEAN(C(EK,J)), a=x, z=color'};
mp_support_graph('cl_st_ytitle') = {'MEAN(C(EK,J))'};
ff_graph_grid((tb_az_c{1:end, 4:end}), ar_row_grid, age_grid, mp_support_graph);
