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fs2000_corr_ME.mod: switch to simulated, longer data set

kalman-mex
Johannes Pfeifer 2023-10-07 14:27:43 +02:00 committed by Sébastien Villemot
parent 5a3ae27b13
commit a67cd58d1f
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3 changed files with 25 additions and 436 deletions
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3
meson.build
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@ -772,8 +772,7 @@ mod_and_m_tests = [
'pruning/AS_pruned_state_space_red_shock.mod' ],
'extra' : [ 'pruning/Andreasen_et_al_2018_Dynare44Pruning_v2.mat'] },
{ 'test' : [ 'pruning/fs2000_pruning.mod' ] },
{ 'test' : [ 'measurement_errors/fs2000_corr_me_ml_mcmc/fs2000_corr_ME.mod' ],
'extra' : [ 'measurement_errors/fs2000_corr_me_ml_mcmc/fsdat_simul.m'] },
{ 'test' : [ 'measurement_errors/fs2000_corr_me_ml_mcmc/fs2000_corr_ME.mod' ] },
{ 'test' : [ 'TeX/fs2000_corr_ME.mod' ],
'extra' : [ 'fs2000/fsdat_simul.m'] },
{ 'test' : [ 'estimation/MH_recover/fs2000_recover.mod',

42
tests/measurement_errors/fs2000_corr_me_ml_mcmc/fs2000_corr_ME.mod
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@ -94,26 +94,32 @@ varobs gp_obs gy_obs;
shocks;
var e_a; stderr 0.014;
var e_m; stderr 0.005;
corr gy_obs,gp_obs = 0.5;
corr gy_obs,gp_obs = 0.25;
end;
steady;
stoch_simul(order=1,irf=0,nomoments,nofunctions,periods=1000);
verbatim;
temp=oo_.endo_simul([strmatch('gy_obs',M_.endo_names,'exact'),strmatch('gp_obs',M_.endo_names,'exact')],:);
exo_simul = randn(2,options_.periods)'*chol([0.005 0.25*sqrt(0.005*0.01); 0.25*sqrt(0.005*0.01) 0.01]);
temp=temp'+exo_simul;
gy_obs=temp(:,1);
gp_obs=temp(:,2);
save('fsdat_simul_corr.mat','gy_obs','gp_obs')
end;
estimated_params;
alp, 0.356;
gam, 0.0085;
del, 0.01;
stderr e_a, 0.035449;
stderr e_m, 0.008862;
corr e_m, e_a, 0;
stderr gp_obs, 1;
stderr gy_obs, 1;
corr gp_obs, gy_obs,0;
alp, 0.33, 0.2, 0.4;
gam, 0.0085, 0 , 0.1;
del, 0.01, 0, 0.1;
stderr e_a, 0.014, 0, Inf;
stderr e_m, 0.005, 0, Inf;
corr e_m, e_a, 0, 0, 1;
stderr gp_obs, 1, 0, Inf;
stderr gy_obs, 1, 0, Inf;
corr gp_obs, gy_obs,0, 0 , 1;
end;
warning('off','MATLAB:nearlySingularMatrix')
estimation(order=1,datafile=fsdat_simul,silent_optimizer,prior_trunc=0,mode_check,smoother,filter_decomposition,forecast = 8,filtered_vars,filter_step_ahead=[1,3],irf=20,tex) m P c e W R k d y gy_obs;
estimation(order=1,datafile=fsdat_simul_corr,silent_optimizer,prior_trunc=0,mode_check,smoother,filter_decomposition,forecast = 8,filtered_vars,filter_step_ahead=[1,3],irf=20,tex) m P c e W R k d y gy_obs;
@ -121,14 +127,14 @@ estimated_params(overwrite);
//alp, beta_pdf, 0.356, 0.02;
gam, normal_pdf, 0.0085, 0.003;
//del, beta_pdf, 0.01, 0.005;
stderr e_a, inv_gamma_pdf, 0.035449, inf;
stderr e_a, inv_gamma_pdf, 0.05449, inf;
stderr e_m, inv_gamma_pdf, 0.008862, inf;
corr e_m, e_a, normal_pdf, 0, 0.2;
stderr gp_obs, inv_gamma_pdf, 0.001, inf;
corr e_m, e_a, , -1, 1, normal_pdf, 0, 0.2;
stderr gp_obs, 0.1, inv_gamma_pdf, 0.001, inf;
//stderr gy_obs, inv_gamma_pdf, 0.001, inf;
//corr gp_obs, gy_obs,normal_pdf, 0, 0.2;
end;
estimation(mode_compute=5,silent_optimizer,order=1,datafile=fsdat_simul,mode_check,smoother,filter_decomposition,mh_replic=2000, mh_nblocks=1, mh_jscale=0.8,forecast = 8,bayesian_irf,filtered_vars,filter_step_ahead=[1,3],irf=20) m P c e W R k d y;
estimation(mode_compute=5,silent_optimizer,order=1,datafile=fsdat_simul_corr,mode_check,smoother,filter_decomposition,mh_replic=2000, mh_nblocks=1, mh_jscale=0.8,forecast = 8,bayesian_irf,filtered_vars,filter_step_ahead=[1,3],irf=20) m P c e W R k d y;
shock_decomposition y W R;
//identification(advanced=1,max_dim_cova_group=3,prior_mc=250);

416
tests/measurement_errors/fs2000_corr_me_ml_mcmc/fsdat_simul.m
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@ -1,416 +0,0 @@
% Generated data, used by fs2000.mod
gy_obs =[
1.0030045
1.0002599
0.99104664
1.0321162
1.0223545
1.0043614
0.98626929
1.0092127
1.0357197
1.0150827
1.0051548
0.98465775
0.99132132
0.99904153
1.0044641
1.0179198
1.0113462
0.99409421
0.99904293
1.0448336
0.99932433
1.0057004
0.99619787
1.0267504
1.0077645
1.0058026
1.0025891
0.9939097
0.99604693
0.99908569
1.0151094
0.99348134
1.0039124
1.0145805
0.99800868
0.98578138
1.0065771
0.99843919
0.97979062
0.98413351
0.96468174
1.0273857
1.0225211
0.99958667
1.0111157
1.0099585
0.99480311
1.0079265
0.98924573
1.0070613
1.0075706
0.9937151
1.0224711
1.0018891
0.99051863
1.0042944
1.0184055
0.99419508
0.99756624
1.0015983
0.9845772
1.0004407
1.0116237
0.9861885
1.0073094
0.99273355
1.0013224
0.99777979
1.0301686
0.96809556
0.99917088
0.99949253
0.96590004
1.0083938
0.96662298
1.0221454
1.0069792
1.0343996
1.0066531
1.0072525
0.99743563
0.99723703
1.000372
0.99013917
1.0095223
0.98864268
0.98092242
0.98886488
1.0030341
1.01894
0.99155059
0.99533235
0.99734316
1.0047356
1.0082737
0.98425116
0.99949212
1.0055899
1.0065075
0.99385069
0.98867975
0.99804843
1.0184038
0.99301902
1.0177222
1.0051924
1.0187852
1.0098985
1.0097172
1.0145811
0.98721038
1.0361722
1.0105821
0.99469309
0.98626785
1.013871
0.99858924
0.99302637
1.0042186
0.99623745
0.98545708
1.0225435
1.0011861
1.0130321
0.97861347
1.0228193
0.99627435
1.0272779
1.0075172
1.0096762
1.0129306
0.99966549
1.0262882
1.0026914
1.0061475
1.009523
1.0036127
0.99762992
0.99092634
1.0058469
0.99887292
1.0060653
0.98673557
0.98895709
0.99111967
0.990118
0.99788054
0.97054709
1.0099157
1.0107431
0.99518695
1.0114048
0.99376019
1.0023369
0.98783327
1.0051727
1.0100462
0.98607387
1.0000064
0.99692442
1.012225
0.99574078
0.98642833
0.99008207
1.0197359
1.0112849
0.98711069
0.99402748
1.0242141
1.0135349
0.99842505
1.0130714
0.99887044
1.0059058
1.0185998
1.0073314
0.98687706
1.0084551
0.97698964
0.99482714
1.0015302
1.0105331
1.0261767
1.0232822
1.0084176
0.99785167
0.99619733
1.0055223
1.0076326
0.99205461
1.0030587
1.0137012
1.0145878
1.0190297
1.0000681
1.0153894
1.0140649
1.0007236
0.97961463
1.0125257
1.0169503
1.0197363
1.0221185
];
gp_obs =[
1.0079715
1.0115853
1.0167502
1.0068957
1.0138189
1.0258364
1.0243817
1.017373
1.0020171
1.0003742
1.0008974
1.0104804
1.0116393
1.0114294
0.99932124
0.99461459
1.0170349
1.0051446
1.020639
1.0051964
1.0093042
1.007068
1.01086
0.99590086
1.0014883
1.0117332
0.9990095
1.0108284
1.0103672
1.0036722
1.0005124
1.0190331
1.0130978
1.007842
1.0285436
1.0322054
1.0213403
1.0246486
1.0419306
1.0258867
1.0156316
0.99818589
0.9894107
1.0127584
1.0146882
1.0136529
1.0340107
1.0343652
1.02971
1.0077932
1.0198114
1.013971
1.0061083
1.0089573
1.0037926
1.0082071
0.99498155
0.99735772
0.98765026
1.006465
1.0196088
1.0053233
1.0119974
1.0188066
1.0029302
1.0183459
1.0034218
1.0158799
0.98824798
1.0274357
1.0168832
1.0180641
1.0294657
0.98864091
1.0358326
0.99889969
1.0178322
0.99813566
1.0073549
1.0215985
1.0084245
1.0080939
1.0157021
1.0075815
1.0032633
1.0117871
1.0209276
1.0077569
0.99680958
1.0120266
1.0017625
1.0138811
1.0198358
1.0059629
1.0115416
1.0319473
1.0167074
1.0116111
1.0048627
1.0217622
1.0125221
1.0142045
0.99792469
0.99823971
0.99561547
0.99850373
0.9898464
1.0030963
1.0051373
1.0004213
1.0144117
0.97185592
0.9959518
1.0073529
1.0051603
0.98642572
0.99433423
1.0112131
1.0007695
1.0176867
1.0134363
0.99926191
0.99879835
0.99878754
1.0331374
1.0077797
1.0127221
1.0047393
1.0074106
0.99784213
1.0056495
1.0057708
0.98817494
0.98742176
0.99930555
1.0000687
1.0129754
1.009529
1.0226731
1.0149534
1.0164295
1.0239469
1.0293458
1.026199
1.0197525
1.0126818
1.0054473
1.0254423
1.0069461
1.0153135
1.0337515
1.0178187
1.0240469
1.0079489
1.0186953
1.0008628
1.0113799
1.0140118
1.0168007
1.011441
0.98422774
0.98909729
1.0157859
1.0151586
0.99756232
0.99497777
1.0102841
1.0221659
0.9937759
0.99877193
1.0079433
0.99667692
1.0095959
1.0128804
1.0156949
1.0111951
1.0228887
1.0122083
1.0190197
1.0074927
1.0268096
0.99689352
0.98948474
1.0024938
1.0105543
1.014116
1.0141217
1.0056504
1.0101026
1.0105069
0.99619053
1.0059439
0.99449473
0.99482458
1.0037702
1.0068087
0.99575975
1.0030815
1.0334014
0.99879386
0.99625634
1.0171195
0.99233844
];