Starting Dynare (version 6.1).
Calling Dynare with arguments: none
Starting preprocessing of the model file ...
Found 20 equation(s).
Evaluating expressions...
Computing static model derivatives (order 1).
Normalizing the static model...
Finding the optimal block decomposition of the static model...
6 block(s) found:
5 recursive block(s) and 1 simultaneous block(s).
the largest simultaneous block has 7 equation(s)
and 7 feedback variable(s).
Computing dynamic model derivatives (order 2).
Normalizing the dynamic model...
Finding the optimal block decomposition of the dynamic model...
6 block(s) found:
5 recursive block(s) and 1 simultaneous block(s).
the largest simultaneous block has 7 equation(s)
and 6 feedback variable(s).
Preprocessing completed.
Preprocessing time: 0h00m01s.
==== Method of Moments Estimation (SMM) ====
Computing data moments. Note that NaN values in the moments (due to leads and lags or missing data) are replaced by the mean of the corresponding moment.
Initial value of the moment objective function with 1.0 times identity weighting matrix: 0.0019
Time required to compute objective function once: 0.0909 seconds
---------------------------------------------------
Simulated method of moments with
- uncentered moments (prefilter=0)
- optimizer (mode_compute=5): newrat
(additional_optimizer_steps=13): lsqnonlin
- stochastic simulations with perturbation order: 2
- standard errors: numerical derivatives
- number of matched moments: 15
- number of parameters: 5
Estimation stage 1
- diagonal of optimal weighting matrix (Bartlett kernel with 20 lags)
and using data-moments as initial estimate of model-moments
Gradient norm 2704848.7245
Minimum Hessian eigenvalue
Maximum Hessian eigenvalue
Iteration 1
Predicted improvement: 365810331.117799997
lambda = 1; f = 76556.5382095
lambda = 0.33333; f = 11995.7725764
lambda = 0.11111; f = 4823.1535871
lambda = 0.037037; f = 4026.4623932
lambda = 0.012346; f = 3938.0299326
lambda = 0.0041152; f = 3928.2336795
lambda = 0.0013717; f = 3927.1550654
lambda = 0.00045725; f = 3927.0385056
lambda = 0.00015242; f = 3927.0266499
lambda = 5.0805e-05; f = 3927.0256978
lambda = 1.6935e-05; f = 3927.0256841
lambda = 5.645e-06; f = 1062.4500490
Norm of dx 270.48
Predicted improvement: 3658103311178.000488281
lambda = 1; f = 7263490795462.8369141
lambda = 0.33333; f = 807054526151.0152588
lambda = 0.11111; f = 89672725228.9541321
lambda = 0.037037; f = 9963638497.3647308
lambda = 0.012346; f = 1107074058.2161610
lambda = 0.0041152; f = 123011593.8386258
lambda = 0.0013717; f = 13671403.7133720
lambda = 0.00045725; f = 1522521.5976124
lambda = 0.00015242; f = 172655.1063582
lambda = 5.0805e-05; f = 22673.0404586
lambda = 1.6935e-05; f = 6009.3997348
lambda = 5.645e-06; f = 4158.2285206
lambda = 1.8817e-06; f = 3952.6576174
lambda = 6.2723e-07; f = 3929.8546307
lambda = 2.0908e-07; f = 3927.3337054
lambda = 6.9692e-08; f = 3927.0578493
lambda = 2.3231e-08; f = 3927.0286142
lambda = 7.7435e-09; f = 3927.0258377
lambda = 2.5812e-09; f = 3927.0256841
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 3927.0256957
lambda = -2.0908e-07; f = 3927.0256854
lambda = -6.9692e-08; f = 3927.0256843
lambda = -2.3231e-08; f = 3927.0256842
lambda = -7.7435e-09; f = 3927.0256841
lambda = -2.5812e-09; f = 3927.0256841
Norm of dx 2.7048e+06
Predicted improvement: 811.396479332
lambda = 1; f = 143.0983294
Norm of dx 0.0014129
Done for param eA = 0.0071; f = 143.0983
Predicted improvement: 0.886291266
lambda = 1; f = 142.0732391
Norm of dx 0.0026244
Done for param eG = 0.0074; f = 142.0732
Predicted improvement: 31.189124235
lambda = 1; f = 3927.0535437
lambda = 0.33333; f = 3927.0295938
lambda = 0.11111; f = 3927.0261568
lambda = 0.037037; f = 3927.0257382
lambda = 0.012346; f = 3927.0256902
lambda = 0.0041152; f = 3927.0256848
lambda = 0.0013717; f = 3927.0256842
lambda = 0.00045725; f = 3927.0256841
lambda = 0.00015242; f = 3927.0256841
lambda = 5.0805e-05; f = 3927.0256841
lambda = 1.6935e-05; f = 3927.0256841
lambda = 5.645e-06; f = 142.0728869
lambda = 1.0913e-05; f = 142.0725583
lambda = 2.1097e-05; f = 3927.0256841
lambda = 1.4205e-05; f = 142.0723530
lambda = 1.801e-05; f = 3927.0256841
lambda = 1.562e-05; f = 3927.0256841
lambda = 1.4341e-05; f = 142.0723445
lambda = 1.5095e-05; f = 3927.0256841
lambda = 1.4638e-05; f = 142.0723260
lambda = 1.491e-05; f = 142.0723090
lambda = 1.5188e-05; f = 3927.0256841
lambda = 1.5021e-05; f = 142.0723021
Norm of dx 0.19597
Done for param betta = 0.9900; f = 142.0723
Predicted improvement: 31.424369890
lambda = 1; f = 105.6177548
Norm of dx 0.0050915
Done for param rhho_A = 0.9448; f = 105.6178
Predicted improvement: 9.788376724
lambda = 1; f = 103.2409855
lambda = 0.33333; f = 102.1979797
Norm of dx 0.16921
Done for param rhho_G = 0.8936; f = 102.1980
Sequence of univariate steps!!
Actual dxnorm 0.056782
FVAL 102.198
Improvement 3824.8277
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 1.345116e-20.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.52853 s.
Iteration 2
Correct for low angle: 3.63268e-06
Predicted improvement: 159387130998246880.000000000
lambda = 1; f = 9551896942389572.0000000
lambda = 0.33333; f = 1061321882045512.3750000
lambda = 0.11111; f = 117924653413267.1093750
lambda = 0.037037; f = 13102739219086.2167969
lambda = 0.012346; f = 1455859896940.8415527
lambda = 0.0041152; f = 161762205401.4461975
lambda = 0.0013717; f = 17973576648.5808372
lambda = 0.00045725; f = 1997063556.1738212
lambda = 0.00015242; f = 221895839.2842357
lambda = 5.0805e-05; f = 24655116.6817167
lambda = 1.6935e-05; f = 2739525.7802114
lambda = 5.645e-06; f = 304475.1055616
lambda = 1.8817e-06; f = 33918.9131804
lambda = 6.2723e-07; f = 3858.7785906
lambda = 2.0908e-07; f = 519.3184908
lambda = 6.9692e-08; f = 148.4523201
lambda = 2.3231e-08; f = 107.3066183
lambda = 7.7435e-09; f = 102.7554238
lambda = 2.5812e-09; f = 102.2565856
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 102.8790137
lambda = -2.0908e-07; f = 102.5629542
lambda = -6.9692e-08; f = 102.3101507
lambda = -2.3231e-08; f = 102.2185212
lambda = -7.7435e-09; f = 102.2007643
lambda = -2.5812e-09; f = 102.1983119
Norm of dx 1.4093e+09
Predicted improvement: 6.491737072
lambda = 1; f = 95.5454843
Norm of dx 0.00017929
Done for param eA = 0.0069; f = 95.5455
Predicted improvement: 0.687324851
lambda = 1; f = 94.9988837
Norm of dx 0.0045399
Done for param eG = 0.0119; f = 94.9989
Predicted improvement: 0.899884183
lambda = 1; f = 94.9988874
lambda = 0.33333; f = 94.9988849
lambda = 0.11111; f = 94.9988841
lambda = 0.037037; f = 94.9988838
lambda = 0.012346; f = 94.9988837
lambda = 0.0041152; f = 94.9988837
lambda = 0.0013717; f = 94.9988837
lambda = 0.00045725; f = 94.9988837
lambda = 0.00015242; f = 94.9988837
lambda = 5.0805e-05; f = 94.9988837
lambda = 1.6935e-05; f = 94.9988837
lambda = 5.645e-06; f = 94.9988837
lambda = 1.8817e-06; f = 94.9988837
lambda = 6.2723e-07; f = 94.9988837
lambda = 2.0908e-07; f = 94.9988837
lambda = 6.9692e-08; f = 94.9988837
lambda = 2.3231e-08; f = 94.9988837
lambda = 7.7435e-09; f = 94.9988837
lambda = 2.5812e-09; f = 94.9988837
Norm of dx 5e-07
Done for param betta = 0.9900; f = 94.9989
Predicted improvement: 1.595804209
lambda = 1; f = 93.5120528
Norm of dx 0.0017139
Done for param rhho_A = 0.9465; f = 93.5121
Predicted improvement: 0.024963083
lambda = 1; f = 93.4849867
Norm of dx 0.0070179
Done for param rhho_G = 0.8866; f = 93.4850
Sequence of univariate steps!!
Actual dxnorm 0.0085341
FVAL 93.485
Improvement 8.713
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 9.819353e-30.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.60377 s.
Iteration 3
Correct for low angle: 3.53438e-07
Predicted improvement: 663850769100907392.000000000
lambda = 1; f = 12052574353164632064.0000000
lambda = 0.33333; f = 1339174928118777856.0000000
lambda = 0.11111; f = 148797214231877984.0000000
lambda = 0.037037; f = 16533023802361464.0000000
lambda = 0.012346; f = 1837002644313371.7500000
lambda = 0.0041152; f = 204111404792610.9062500
lambda = 0.0013717; f = 22679044933313.1367188
lambda = 0.00045725; f = 2519893866986.7617188
lambda = 0.00015242; f = 279988202667.5466309
lambda = 5.0805e-05; f = 31109798759.9836426
lambda = 1.6935e-05; f = 3456643849.9265800
lambda = 5.645e-06; f = 384071442.0331799
lambda = 1.8817e-06; f = 42674627.7863750
lambda = 6.2723e-07; f = 4741688.4134766
lambda = 2.0908e-07; f = 526930.7013293
lambda = 6.9692e-08; f = 58628.7319638
lambda = 2.3231e-08; f = 6596.6608438
lambda = 7.7435e-09; f = 815.8132855
lambda = 2.5812e-09; f = 173.6614492
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 3124768470.1335669
lambda = -2.0908e-07; f = 347196283.7881485
lambda = -6.9692e-08; f = 38577349.2994916
lambda = -2.3231e-08; f = 4286422.3543633
lambda = -7.7435e-09; f = 476341.2857381
lambda = -2.5812e-09; f = 53006.2532056
Norm of dx 1.6676e+11
Predicted improvement: 1.203677610
lambda = 1; f = 92.2677182
Norm of dx 7.7969e-05
Done for param eA = 0.0068; f = 92.2677
Predicted improvement: 0.083415590
lambda = 1; f = 92.1805215
Norm of dx 0.0012422
Done for param eG = 0.0107; f = 92.1805
Predicted improvement: 0.163053568
lambda = 1; f = 92.1805276
lambda = 0.33333; f = 92.1805235
lambda = 0.11111; f = 92.1805222
lambda = 0.037037; f = 92.1805217
lambda = 0.012346; f = 92.1805216
lambda = 0.0041152; f = 92.1805215
lambda = 0.0013717; f = 92.1805215
lambda = 0.00045725; f = 92.1805215
lambda = 0.00015242; f = 92.1805215
lambda = 5.0805e-05; f = 92.1805215
lambda = 1.6935e-05; f = 92.1805215
lambda = 5.645e-06; f = 92.1805215
lambda = 1.8817e-06; f = 92.1805215
lambda = 6.2723e-07; f = 92.1805215
lambda = 2.0908e-07; f = 92.1805215
lambda = 6.9692e-08; f = 92.1805215
lambda = 2.3231e-08; f = 92.1805215
lambda = 7.7435e-09; f = 92.1805215
lambda = 2.5812e-09; f = 92.1805215
Norm of dx 4.9999e-07
Done for param betta = 0.9900; f = 92.1805
Predicted improvement: 0.882601489
lambda = 1; f = 91.3408624
Norm of dx 0.0012101
Done for param rhho_A = 0.9477; f = 91.3409
Predicted improvement: 0.000077458
lambda = 1; f = 91.3407845
Norm of dx 0.00050314
Done for param rhho_G = 0.8861; f = 91.3408
Sequence of univariate steps!!
Actual dxnorm 0.0018074
FVAL 91.3408
Improvement 2.1442
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 1.165609e-29.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.55174 s.
Iteration 4
Correct for low angle: 5.22702e-06
Predicted improvement: 55869526261407944.000000000
lambda = 1; f = 18340947026594287616.0000000
lambda = 0.33333; f = 2037883002941960960.0000000
lambda = 0.11111; f = 226431444767009408.0000000
lambda = 0.037037; f = 25159049417116768.0000000
lambda = 0.012346; f = 2795449934755306.0000000
lambda = 0.0041152; f = 310605548146235.6875000
lambda = 0.0013717; f = 34511727518555.0390625
lambda = 0.00045725; f = 3834636373255.0361328
lambda = 0.00015242; f = 426070702295.0687866
lambda = 5.0805e-05; f = 47341187249.8978577
lambda = 1.6935e-05; f = 5260131339.4503260
lambda = 5.645e-06; f = 584458899.4429384
lambda = 1.8817e-06; f = 64939885.7525270
lambda = 6.2723e-07; f = 7215599.6681733
lambda = 2.0908e-07; f = 801806.3599573
lambda = 6.9692e-08; f = 89168.0779484
lambda = 2.3231e-08; f = 9987.8529155
lambda = 7.7435e-09; f = 1190.6522345
lambda = 2.5812e-09; f = 213.3861923
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 3395818368.4535184
lambda = -2.0908e-07; f = 377312956.8517185
lambda = -6.9692e-08; f = 41923650.9341288
lambda = -2.3231e-08; f = 4658233.9189704
lambda = -7.7435e-09; f = 517652.5017737
lambda = -2.5812e-09; f = 57594.7243218
Norm of dx 1.8626e+11
Predicted improvement: 0.950661306
lambda = 1; f = 90.3805521
Norm of dx 6.8712e-05
Done for param eA = 0.0067; f = 90.3806
Predicted improvement: 0.014824522
lambda = 1; f = 90.3654176
Norm of dx 0.00056615
Done for param eG = 0.0101; f = 90.3654
Predicted improvement: 0.121917162
lambda = 1; f = 90.3654225
lambda = 0.33333; f = 90.3654192
lambda = 0.11111; f = 90.3654181
lambda = 0.037037; f = 90.3654178
lambda = 0.012346; f = 90.3654177
lambda = 0.0041152; f = 90.3654176
lambda = 0.0013717; f = 90.3654176
lambda = 0.00045725; f = 90.3654176
lambda = 0.00015242; f = 90.3654176
lambda = 5.0805e-05; f = 90.3654176
lambda = 1.6935e-05; f = 90.3654176
lambda = 5.645e-06; f = 90.3654176
lambda = 1.8817e-06; f = 90.3654176
lambda = 6.2723e-07; f = 90.3654176
lambda = 2.0908e-07; f = 90.3654176
lambda = 6.9692e-08; f = 90.3654176
lambda = 2.3231e-08; f = 90.3654176
lambda = 7.7435e-09; f = 90.3654176
lambda = 2.5812e-09; f = 90.3654176
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 90.3654176
Norm of dx 4.9999e-07
Done for param betta = 0.9900; f = 90.3654
Predicted improvement: 0.727197711
lambda = 1; f = 89.6699026
Norm of dx 0.0010661
Done for param rhho_A = 0.9488; f = 89.6699
Predicted improvement: 0.000110146
lambda = 1; f = 89.6697910
Norm of dx 0.00064726
Done for param rhho_G = 0.8854; f = 89.6698
Sequence of univariate steps!!
Actual dxnorm 0.0013714
FVAL 89.6698
Improvement 1.671
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 1.942073e-29.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.56909 s.
Iteration 5
Correct for low angle: 3.72141e-07
Predicted improvement: 5290135259499269.000000000
lambda = 1; f = 97777546439116.5312500
lambda = 0.33333; f = 10864171797028.3847656
lambda = 0.11111; f = 1207130189876.2512207
lambda = 0.037037; f = 134125573441.5316467
lambda = 0.012346; f = 14902840476.1794529
lambda = 0.0041152; f = 1655870878.0495989
lambda = 0.0013717; f = 183985610.9308563
lambda = 0.00045725; f = 20442884.7347429
lambda = 0.00015242; f = 2271497.8001275
lambda = 5.0805e-05; f = 252463.8364507
lambda = 1.6935e-05; f = 28129.7390616
lambda = 5.645e-06; f = 3204.7314693
lambda = 1.8817e-06; f = 435.6205908
lambda = 6.2723e-07; f = 128.0530742
lambda = 2.0908e-07; f = 93.9160623
lambda = 6.9692e-08; f = 90.1354465
lambda = 2.3231e-08; f = 89.7195066
lambda = 7.7435e-09; f = 89.6746672
lambda = 2.5812e-09; f = 89.6701438
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 42911407.9304276
lambda = -2.0908e-07; f = 4767984.4996390
lambda = -6.9692e-08; f = 529845.9549455
lambda = -2.3231e-08; f = 58948.2102962
lambda = -7.7435e-09; f = 6628.4180333
lambda = -2.5812e-09; f = 815.8342368
Norm of dx 1.4239e+10
Predicted improvement: 0.738118943
lambda = 1; f = 88.9251000
Norm of dx 6.0105e-05
Done for param eA = 0.0067; f = 88.9251
Predicted improvement: 0.008949414
lambda = 1; f = 88.9160011
Norm of dx 0.00045739
Done for param eG = 0.0096; f = 88.9160
Predicted improvement: 0.094220579
lambda = 1; f = 88.9160053
lambda = 0.33333; f = 88.9160025
lambda = 0.11111; f = 88.9160016
lambda = 0.037037; f = 88.9160013
lambda = 0.012346; f = 88.9160012
lambda = 0.0041152; f = 88.9160011
lambda = 0.0013717; f = 88.9160011
lambda = 0.00045725; f = 88.9160011
lambda = 0.00015242; f = 88.9160011
lambda = 5.0805e-05; f = 88.9160011
lambda = 1.6935e-05; f = 88.9160011
lambda = 5.645e-06; f = 88.9160011
lambda = 1.8817e-06; f = 88.9160011
lambda = 6.2723e-07; f = 88.9160011
lambda = 2.0908e-07; f = 88.9160011
lambda = 6.9692e-08; f = 88.9160011
lambda = 2.3231e-08; f = 88.9160011
lambda = 7.7435e-09; f = 88.9160011
lambda = 2.5812e-09; f = 88.9160011
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 88.9160011
Norm of dx 4.9999e-07
Done for param betta = 0.9900; f = 88.9160
Predicted improvement: 0.570608875
lambda = 1; f = 88.3671053
Norm of dx 0.00091875
Done for param rhho_A = 0.9497; f = 88.3671
Predicted improvement: 0.000140658
lambda = 1; f = 88.3669633
Norm of dx 0.00079036
Done for param rhho_G = 0.8846; f = 88.3670
Sequence of univariate steps!!
Actual dxnorm 0.0012968
FVAL 88.367
Improvement 1.3028
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 3.501081e-30.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.61464 s.
Iteration 6
Correct for low angle: 1.21512e-07
Predicted improvement: 7212926459922386944.000000000
lambda = 1; f = 117379600631459909468160.0000000
lambda = 0.33333; f = 13042177847938473000960.0000000
lambda = 0.11111; f = 1449130871992658690048.0000000
lambda = 0.037037; f = 161014541332349419520.0000000
lambda = 0.012346; f = 17890504592427173888.0000000
lambda = 0.0041152; f = 1987833843584321792.0000000
lambda = 0.0013717; f = 220870427058692320.0000000
lambda = 0.00045725; f = 24541158559999512.0000000
lambda = 0.00015242; f = 2726795394863085.5000000
lambda = 5.0805e-05; f = 302977265865145.4375000
lambda = 1.6935e-05; f = 33664140574817.4921875
lambda = 5.645e-06; f = 3740460038299.1987305
lambda = 1.8817e-06; f = 415606662451.3619995
lambda = 6.2723e-07; f = 46178515278.9266129
lambda = 2.0908e-07; f = 5130945270.7270699
lambda = 6.9692e-08; f = 570104791.9878461
lambda = 2.3231e-08; f = 63344949.8889149
lambda = 7.7435e-09; f = 7038371.1315833
lambda = 2.5812e-09; f = 782108.0579148
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 89.3858145
lambda = -2.0908e-07; f = 89.3829180
lambda = -6.9692e-08; f = 89.3743023
lambda = -2.3231e-08; f = 89.3491026
lambda = -7.7435e-09; f = 89.2789276
lambda = -2.5812e-09; f = 89.1082517
Norm of dx 4.4291e+11
Predicted improvement: 0.571694382
lambda = 1; f = 87.7907744
Norm of dx 5.256e-05
Done for param eA = 0.0066; f = 87.7908
Predicted improvement: 0.007227761
lambda = 1; f = 87.7834366
Norm of dx 0.00042468
Done for param eG = 0.0092; f = 87.7834
Predicted improvement: 0.072938140
lambda = 1; f = 87.7834402
lambda = 0.33333; f = 87.7834378
lambda = 0.11111; f = 87.7834370
lambda = 0.037037; f = 87.7834367
lambda = 0.012346; f = 87.7834366
lambda = 0.0041152; f = 87.7834366
lambda = 0.0013717; f = 87.7834366
lambda = 0.00045725; f = 87.7834366
lambda = 0.00015242; f = 87.7834366
lambda = 5.0805e-05; f = 87.7834366
lambda = 1.6935e-05; f = 87.7834366
lambda = 5.645e-06; f = 87.7834366
lambda = 1.8817e-06; f = 87.7834366
lambda = 6.2723e-07; f = 87.7834366
lambda = 2.0908e-07; f = 87.7834366
lambda = 6.9692e-08; f = 87.7834366
lambda = 2.3231e-08; f = 87.7834366
lambda = 7.7435e-09; f = 87.7834366
lambda = 2.5812e-09; f = 87.7834366
Norm of dx 4.9999e-07
Done for param betta = 0.9900; f = 87.7834
Predicted improvement: 0.447311277
lambda = 1; f = 87.3510105
Norm of dx 0.00079404
Done for param rhho_A = 0.9505; f = 87.3510
Predicted improvement: 0.000142826
lambda = 1; f = 87.3508675
Norm of dx 0.0008614
Done for param rhho_G = 0.8838; f = 87.3509
Sequence of univariate steps!!
Actual dxnorm 0.0012472
FVAL 87.3509
Improvement 1.0161
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 9.447660e-31.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.5525 s.
Iteration 7
Correct for low angle: 1.05386e-05
Predicted improvement: 71166074719174304.000000000
lambda = 1; f = 253832337293238992896.0000000
lambda = 0.33333; f = 28203593032535183360.0000000
lambda = 0.11111; f = 3133732559154933760.0000000
lambda = 0.037037; f = 348192506567556608.0000000
lambda = 0.012346; f = 38688056283546128.0000000
lambda = 0.0041152; f = 4298672919814755.5000000
lambda = 0.0013717; f = 477630324230827.8125000
lambda = 0.00045725; f = 53070035961354.5625000
lambda = 0.00015242; f = 5896670640993.5029297
lambda = 5.0805e-05; f = 655185619702.4113770
lambda = 1.6935e-05; f = 72798399882.7054291
lambda = 5.645e-06; f = 8088710381.0247517
lambda = 1.8817e-06; f = 898745410.6372654
lambda = 6.2723e-07; f = 99860590.5272970
lambda = 2.0908e-07; f = 11095669.3816623
lambda = 6.9692e-08; f = 1232919.9876753
lambda = 2.3231e-08; f = 137065.4846305
lambda = 7.7435e-09; f = 15306.0534250
lambda = 2.5812e-09; f = 1777.9544834
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 1912348572.6148143
lambda = -2.0908e-07; f = 212483073.1151657
lambda = -6.9692e-08; f = 23609248.2363857
lambda = -2.3231e-08; f = 2623307.5309891
lambda = -7.7435e-09; f = 291549.6203972
lambda = -2.5812e-09; f = 32469.8344081
Norm of dx 5.3661e+11
Predicted improvement: 0.446602706
lambda = 1; f = 86.9011529
Norm of dx 4.6193e-05
Done for param eA = 0.0066; f = 86.9012
Predicted improvement: 0.006034591
lambda = 1; f = 86.8950340
Norm of dx 0.00039995
Done for param eG = 0.0088; f = 86.8950
Predicted improvement: 0.056976895
lambda = 1; f = 86.8950371
lambda = 0.33333; f = 86.8950350
lambda = 0.11111; f = 86.8950343
lambda = 0.037037; f = 86.8950341
lambda = 0.012346; f = 86.8950340
lambda = 0.0041152; f = 86.8950340
lambda = 0.0013717; f = 86.8950340
lambda = 0.00045725; f = 86.8950340
lambda = 0.00015242; f = 86.8950340
lambda = 5.0805e-05; f = 86.8950340
lambda = 1.6935e-05; f = 86.8950340
lambda = 5.645e-06; f = 86.8950340
lambda = 1.8817e-06; f = 86.8950340
lambda = 6.2723e-07; f = 86.8950340
lambda = 2.0908e-07; f = 86.8950340
lambda = 6.9692e-08; f = 86.8950340
lambda = 2.3231e-08; f = 86.8950340
lambda = 7.7435e-09; f = 86.8950340
lambda = 2.5812e-09; f = 86.8950340
Norm of dx 4.9999e-07
Done for param betta = 0.9900; f = 86.8950
Predicted improvement: 0.352789772
lambda = 1; f = 86.5525596
Norm of dx 0.00069044
Done for param rhho_A = 0.9512; f = 86.5526
Predicted improvement: 0.000136561
lambda = 1; f = 86.5524217
Norm of dx 0.00090121
Done for param rhho_G = 0.8829; f = 86.5524
Sequence of univariate steps!!
Actual dxnorm 0.0012046
FVAL 86.5524
Improvement 0.79845
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 3.100670e-30.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.5276 s.
Iteration 8
Correct for low angle: 1.36786e-07
Predicted improvement: 2650222362693797888.000000000
lambda = 1; f = 46885583208515612180480.0000000
lambda = 0.33333; f = 5209509245389749878784.0000000
lambda = 0.11111; f = 578834360598570139648.0000000
lambda = 0.037037; f = 64314928955299708928.0000000
lambda = 0.012346; f = 7146103217223194624.0000000
lambda = 0.0041152; f = 794011468569579392.0000000
lambda = 0.0013717; f = 88223496504139216.0000000
lambda = 0.00045725; f = 9802610721484902.0000000
lambda = 0.00015242; f = 1089178968654853.7500000
lambda = 5.0805e-05; f = 121019885273137.9843750
lambda = 1.6935e-05; f = 13446653874969.8691406
lambda = 5.645e-06; f = 1494072638069.8254395
lambda = 1.8817e-06; f = 166008066046.4027405
lambda = 6.2723e-07; f = 18445339106.3647766
lambda = 2.0908e-07; f = 2049481652.4005611
lambda = 6.9692e-08; f = 227720078.0475054
lambda = 2.3231e-08; f = 25302247.0003774
lambda = 7.7435e-09; f = 2811417.4369522
lambda = 2.5812e-09; f = 312449.8919902
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 87.5703041
lambda = -2.0908e-07; f = 87.5654866
lambda = -6.9692e-08; f = 87.5512375
lambda = -2.3231e-08; f = 87.5102487
lambda = -7.7435e-09; f = 87.4013551
lambda = -2.5812e-09; f = 87.1666059
Norm of dx 2.6554e+11
Predicted improvement: 0.351904919
lambda = 1; f = 86.1983350
Norm of dx 4.0797e-05
Done for param eA = 0.0065; f = 86.1983
Predicted improvement: 0.005078880
lambda = 1; f = 86.1931914
Norm of dx 0.00037737
Done for param eG = 0.0084; f = 86.1932
Predicted improvement: 0.044901851
lambda = 1; f = 86.1931940
lambda = 0.33333; f = 86.1931923
lambda = 0.11111; f = 86.1931917
lambda = 0.037037; f = 86.1931915
lambda = 0.012346; f = 86.1931915
lambda = 0.0041152; f = 86.1931915
lambda = 0.0013717; f = 86.1931915
lambda = 0.00045725; f = 86.1931914
lambda = 0.00015242; f = 86.1931914
lambda = 5.0805e-05; f = 86.1931914
lambda = 1.6935e-05; f = 86.1931914
lambda = 5.645e-06; f = 86.1931914
lambda = 1.8817e-06; f = 86.1931914
lambda = 6.2723e-07; f = 86.1931914
lambda = 2.0908e-07; f = 86.1931914
lambda = 6.9692e-08; f = 86.1931914
lambda = 2.3231e-08; f = 86.1931914
lambda = 7.7435e-09; f = 86.1931914
lambda = 2.5812e-09; f = 86.1931914
Norm of dx 4.9999e-07
Done for param betta = 0.9900; f = 86.1932
Predicted improvement: 0.279993348
lambda = 1; f = 85.9204239
Norm of dx 0.00060381
Done for param rhho_A = 0.9518; f = 85.9204
Predicted improvement: 0.000134464
lambda = 1; f = 85.9202884
Norm of dx 0.00096014
Done for param rhho_G = 0.8819; f = 85.9203
Sequence of univariate steps!!
Actual dxnorm 0.001196
FVAL 85.9203
Improvement 0.63213
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 1.262869e-30.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.4927 s.
Iteration 9
Correct for low angle: 6.9641e-06
Predicted improvement: 44604375934014896.000000000
lambda = 1; f = 66205764482859245568.0000000
lambda = 0.33333; f = 7356196053627375616.0000000
lambda = 0.11111; f = 817355117061824640.0000000
lambda = 0.037037; f = 90817235226463808.0000000
lambda = 0.012346; f = 10090803913175646.0000000
lambda = 0.0041152; f = 1121200434505381.5000000
lambda = 0.0013717; f = 124577825958900.3281250
lambda = 0.00045725; f = 13841980629733.2167969
lambda = 0.00015242; f = 1537997837010.1115723
lambda = 5.0805e-05; f = 170888645028.2534790
lambda = 1.6935e-05; f = 18987626100.1353912
lambda = 5.645e-06; f = 2109735909.1887605
lambda = 1.8817e-06; f = 234415043.8835196
lambda = 6.2723e-07; f = 26046147.8569916
lambda = 2.0908e-07; f = 2894077.9676177
lambda = 6.9692e-08; f = 321635.6473970
lambda = 2.3231e-08; f = 35812.0194980
lambda = 7.7435e-09; f = 4054.9374769
lambda = 2.5812e-09; f = 526.7390935
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 1139906223.0618081
lambda = -2.0908e-07; f = 126656196.6413495
lambda = -6.9692e-08; f = 14072944.8651904
lambda = -2.3231e-08; f = 1563722.8320997
lambda = -7.7435e-09; f = 173818.6609541
lambda = -2.5812e-09; f = 19387.9935224
Norm of dx 3.5656e+11
Predicted improvement: 0.279372784
lambda = 1; f = 85.6393693
Norm of dx 3.6187e-05
Done for param eA = 0.0065; f = 85.6394
Predicted improvement: 0.004294814
lambda = 1; f = 85.6350249
Norm of dx 0.00035619
Done for param eG = 0.0081; f = 85.6350
Predicted improvement: 0.035656333
lambda = 1; f = 85.6350271
lambda = 0.33333; f = 85.6350256
lambda = 0.11111; f = 85.6350252
lambda = 0.037037; f = 85.6350250
lambda = 0.012346; f = 85.6350250
lambda = 0.0041152; f = 85.6350249
lambda = 0.0013717; f = 85.6350249
lambda = 0.00045725; f = 85.6350249
lambda = 0.00015242; f = 85.6350249
lambda = 5.0805e-05; f = 85.6350249
lambda = 1.6935e-05; f = 85.6350249
lambda = 5.645e-06; f = 85.6350249
lambda = 1.8817e-06; f = 85.6350249
lambda = 6.2723e-07; f = 85.6350249
lambda = 2.0908e-07; f = 85.6350249
lambda = 6.9692e-08; f = 85.6350249
lambda = 2.3231e-08; f = 85.6350249
lambda = 7.7435e-09; f = 85.6350249
lambda = 2.5812e-09; f = 85.6350249
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 85.6350249
Norm of dx 4.9999e-07
Done for param betta = 0.9900; f = 85.6350
Predicted improvement: 0.223555306
lambda = 1; f = 85.4165836
Norm of dx 0.0005308
Done for param rhho_A = 0.9523; f = 85.4166
Predicted improvement: 0.000126406
lambda = 1; f = 85.4164544
Norm of dx 0.00098884
Done for param rhho_G = 0.8809; f = 85.4165
Sequence of univariate steps!!
Actual dxnorm 0.001178
FVAL 85.4165
Improvement 0.50383
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 3.098084e-30.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.52668 s.
Iteration 10
Correct for low angle: 1.45954e-07
Predicted improvement: 991078966706361600.000000000
lambda = 1; f = 17592249893756105392128.0000000
lambda = 0.33333; f = 1954694432639078367232.0000000
lambda = 0.11111; f = 217188270293068021760.0000000
lambda = 0.037037; f = 24132030032508805120.0000000
lambda = 0.012346; f = 2681336670260653568.0000000
lambda = 0.0041152; f = 297926296689594368.0000000
lambda = 0.0013717; f = 33102921852388104.0000000
lambda = 0.00045725; f = 3678102427372753.0000000
lambda = 0.00015242; f = 408678047262455.5625000
lambda = 5.0805e-05; f = 45408671843632.5781250
lambda = 1.6935e-05; f = 5045407957870.4443359
lambda = 5.645e-06; f = 560600876006.6452637
lambda = 1.8817e-06; f = 62288983539.8504410
lambda = 6.2723e-07; f = 6920997327.3416710
lambda = 2.0908e-07; f = 768999472.4042453
lambda = 6.9692e-08; f = 85444359.5620098
lambda = 2.3231e-08; f = 9493859.5927728
lambda = 7.7435e-09; f = 1054937.8598614
lambda = 2.5812e-09; f = 117287.4589096
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 86.4326772
lambda = -2.0908e-07; f = 86.4245877
lambda = -6.9692e-08; f = 86.4008906
lambda = -2.3231e-08; f = 86.3346047
lambda = -7.7435e-09; f = 86.1714617
lambda = -2.5812e-09; f = 85.8775953
Norm of dx 1.5737e+11
Predicted improvement: 0.223421103
lambda = 1; f = 85.1919256
Norm of dx 3.223e-05
Done for param eA = 0.0065; f = 85.1919
Predicted improvement: 0.003646309
lambda = 1; f = 85.1882415
Norm of dx 0.00033617
Done for param eG = 0.0078; f = 85.1882
Predicted improvement: 0.028525308
lambda = 1; f = 85.1882432
lambda = 0.33333; f = 85.1882421
lambda = 0.11111; f = 85.1882417
lambda = 0.037037; f = 85.1882416
lambda = 0.012346; f = 85.1882415
lambda = 0.0041152; f = 85.1882415
lambda = 0.0013717; f = 85.1882415
lambda = 0.00045725; f = 85.1882415
lambda = 0.00015242; f = 85.1882415
lambda = 5.0805e-05; f = 85.1882415
lambda = 1.6935e-05; f = 85.1882415
lambda = 5.645e-06; f = 85.1882415
lambda = 1.8817e-06; f = 85.1882415
lambda = 6.2723e-07; f = 85.1882415
lambda = 2.0908e-07; f = 85.1882415
lambda = 6.9692e-08; f = 85.1882415
lambda = 2.3231e-08; f = 85.1882415
lambda = 7.7435e-09; f = 85.1882415
lambda = 2.5812e-09; f = 85.1882415
Norm of dx 4.9998e-07
Done for param betta = 0.9900; f = 85.1882
Predicted improvement: 0.179487344
lambda = 1; f = 85.0124074
Norm of dx 0.0004688
Done for param rhho_A = 0.9528; f = 85.0124
Predicted improvement: 0.000124029
lambda = 1; f = 85.0122816
Norm of dx 0.00105
Done for param rhho_G = 0.8799; f = 85.0123
Sequence of univariate steps!!
Actual dxnorm 0.0011984
FVAL 85.0123
Improvement 0.40417
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 1.197556e-30.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.46805 s.
Iteration 11
Correct for low angle: 4.38317e-06
Predicted improvement: 26704547555267588.000000000
lambda = 1; f = 13858872027801851904.0000000
lambda = 0.33333; f = 1539874669745053184.0000000
lambda = 0.11111; f = 171097185523658976.0000000
lambda = 0.037037; f = 19010798390327984.0000000
lambda = 0.012346; f = 2112310931862155.7500000
lambda = 0.0041152; f = 234701214519231.1562500
lambda = 0.0013717; f = 26077912680369.5859375
lambda = 0.00045725; f = 2897545838761.6328125
lambda = 0.00015242; f = 321949532819.6373291
lambda = 5.0805e-05; f = 35772168756.8226242
lambda = 1.6935e-05; f = 3974684948.9789386
lambda = 5.645e-06; f = 441631555.2267339
lambda = 1.8817e-06; f = 49070187.9236683
lambda = 6.2723e-07; f = 5452298.5205356
lambda = 2.0908e-07; f = 605879.7970346
lambda = 6.9692e-08; f = 67393.3052243
lambda = 2.3231e-08; f = 7562.9652901
lambda = 7.7435e-09; f = 915.6472382
lambda = 2.5812e-09; f = 177.2221757
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 666736818.1964452
lambda = -2.0908e-07; f = 74081855.2716282
lambda = -6.9692e-08; f = 8231363.1577985
lambda = -2.3231e-08; f = 914661.5859045
lambda = -7.7435e-09; f = 101701.3359453
lambda = -2.5812e-09; f = 11374.6164039
Norm of dx 2.202e+11
Predicted improvement: 0.179775191
lambda = 1; f = 84.8317058
Norm of dx 2.8806e-05
Done for param eA = 0.0064; f = 84.8317
Predicted improvement: 0.003104637
lambda = 1; f = 84.8285725
Norm of dx 0.0003171
Done for param eG = 0.0074; f = 84.8286
Predicted improvement: 0.022962597
lambda = 1; f = 84.8285739
lambda = 0.33333; f = 84.8285730
lambda = 0.11111; f = 84.8285727
lambda = 0.037037; f = 84.8285726
lambda = 0.012346; f = 84.8285725
lambda = 0.0041152; f = 84.8285725
lambda = 0.0013717; f = 84.8285725
lambda = 0.00045725; f = 84.8285725
lambda = 0.00015242; f = 84.8285725
lambda = 5.0805e-05; f = 84.8285725
lambda = 1.6935e-05; f = 84.8285725
lambda = 5.645e-06; f = 84.8285725
lambda = 1.8817e-06; f = 84.8285725
lambda = 6.2723e-07; f = 84.8285725
lambda = 2.0908e-07; f = 84.8285725
lambda = 6.9692e-08; f = 84.8285725
lambda = 2.3231e-08; f = 84.8285725
lambda = 7.7435e-09; f = 84.8285725
lambda = 2.5812e-09; f = 84.8285725
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 84.8285725
lambda = -2.0908e-07; f = 84.8285725
lambda = -6.9692e-08; f = 84.8285725
lambda = -2.3231e-08; f = 84.8285725
lambda = -7.7435e-09; f = 84.8285725
lambda = -2.5812e-09; f = 84.8285725
Norm of dx 4.9998e-07
Done for param betta = 0.9900; f = 84.8286
Predicted improvement: 0.144876734
lambda = 1; f = 84.6863291
Norm of dx 0.00041582
Done for param rhho_A = 0.9532; f = 84.6863
Predicted improvement: 0.000114458
lambda = 1; f = 84.6862125
Norm of dx 0.0010725
Done for param rhho_G = 0.8788; f = 84.6862
Sequence of univariate steps!!
Actual dxnorm 0.0011936
FVAL 84.6862
Improvement 0.32607
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 6.703031e-30.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.54456 s.
Iteration 12
Correct for low angle: 2.66587e-07
Predicted improvement: 108097795174450.375000000
lambda = 1; f = 85.7065168
lambda = 0.33333; f = 85.7065173
lambda = 0.11111; f = 85.7065187
lambda = 0.037037; f = 85.7065229
lambda = 0.012346; f = 85.7065357
lambda = 0.0041152; f = 85.7065738
lambda = 0.0013717; f = 85.7066882
lambda = 0.00045725; f = 85.7070315
lambda = 0.00015242; f = 85.7080626
lambda = 5.0805e-05; f = 85.7111653
lambda = 1.6935e-05; f = 85.7205585
lambda = 5.645e-06; f = 85.7495260
lambda = 1.8817e-06; f = 85.8441231
lambda = 6.2723e-07; f = 86.2181454
lambda = 2.0908e-07; f = 89.7628647
lambda = 6.9692e-08; f = 87.0637652
lambda = 2.3231e-08; f = 84.7511004
lambda = 7.7435e-09; f = 84.6914956
lambda = 2.5812e-09; f = 84.6867468
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 681042.2349903
lambda = -2.0908e-07; f = 75743.9043355
lambda = -6.9692e-08; f = 8490.3554809
lambda = -2.3231e-08; f = 1018.3460143
lambda = -7.7435e-09; f = 188.3250978
lambda = -2.5812e-09; f = 96.1680040
Norm of dx 1.7167e+09
Predicted improvement: 0.145575706
lambda = 1; f = 84.5400528
Norm of dx 2.5837e-05
Done for param eA = 0.0064; f = 84.5401
Predicted improvement: 0.002649933
lambda = 1; f = 84.5373812
Norm of dx 0.00029889
Done for param eG = 0.0071; f = 84.5374
Predicted improvement: 0.018603130
lambda = 1; f = 84.5373822
lambda = 0.33333; f = 84.5373815
lambda = 0.11111; f = 84.5373813
lambda = 0.037037; f = 84.5373812
lambda = 0.012346; f = 84.5373812
lambda = 0.0041152; f = 84.5373812
lambda = 0.0013717; f = 84.5373812
lambda = 0.00045725; f = 84.5373812
lambda = 0.00015242; f = 84.5373812
lambda = 5.0805e-05; f = 84.5373812
lambda = 1.6935e-05; f = 84.5373812
lambda = 5.645e-06; f = 84.5373812
lambda = 1.8817e-06; f = 84.5373812
lambda = 6.2723e-07; f = 84.5373812
lambda = 2.0908e-07; f = 84.5373812
lambda = 6.9692e-08; f = 84.5373812
lambda = 2.3231e-08; f = 84.5373812
lambda = 7.7435e-09; f = 84.5373812
lambda = 2.5812e-09; f = 84.5373812
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 84.5373812
lambda = -2.0908e-07; f = 84.5373812
lambda = -6.9692e-08; f = 84.5373812
lambda = -2.3231e-08; f = 84.5373812
lambda = -7.7435e-09; f = 84.5373812
lambda = -2.5812e-09; f = 84.5373812
Norm of dx 4.9999e-07
Done for param betta = 0.9900; f = 84.5374
Predicted improvement: 0.117516683
lambda = 1; f = 84.4217780
Norm of dx 0.00037024
Done for param rhho_A = 0.9536; f = 84.4218
Predicted improvement: 0.000106459
lambda = 1; f = 84.4216689
Norm of dx 0.0010964
Done for param rhho_G = 0.8777; f = 84.4217
Sequence of univariate steps!!
Actual dxnorm 0.0011955
FVAL 84.4217
Improvement 0.26454
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 3.313863e-30.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.64584 s.
Iteration 13
Correct for low angle: 1.56683e-07
Predicted improvement: 266888297370047360.000000000
lambda = 1; f = 4709503664228039393280.0000000
lambda = 0.33333; f = 523278184914004082688.0000000
lambda = 0.11111; f = 58142020545926291456.0000000
lambda = 0.037037; f = 6460224505078204416.0000000
lambda = 0.012346; f = 717802722778228224.0000000
lambda = 0.0041152; f = 79755858083723408.0000000
lambda = 0.0013717; f = 8861762008387196.0000000
lambda = 0.00045725; f = 984640222849048.5000000
lambda = 0.00015242; f = 109404469103805.0000000
lambda = 5.0805e-05; f = 12156052088813.4218750
lambda = 1.6935e-05; f = 1350672443085.4357910
lambda = 5.645e-06; f = 150074712206.0205688
lambda = 1.8817e-06; f = 16674966842.1318245
lambda = 6.2723e-07; f = 1852773750.0114639
lambda = 2.0908e-07; f = 205863685.5094042
lambda = 6.9692e-08; f = 22873771.3647987
lambda = 2.3231e-08; f = 2541589.6894947
lambda = 7.7435e-09; f = 282468.7280487
lambda = 2.5812e-09; f = 31458.7331580
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 85.4340380
lambda = -2.0908e-07; f = 85.4184431
lambda = -6.9692e-08; f = 85.3737610
lambda = -2.3231e-08; f = 85.2563635
lambda = -7.7435e-09; f = 85.0100725
lambda = -2.5812e-09; f = 84.6898660
Norm of dx 8.071e+10
Predicted improvement: 0.118521807
lambda = 1; f = 84.3027177
Norm of dx 2.3244e-05
Done for param eA = 0.0064; f = 84.3027
Predicted improvement: 0.002266402
lambda = 1; f = 84.3004351
Norm of dx 0.00028148
Done for param eG = 0.0069; f = 84.3004
Predicted improvement: 0.015153656
lambda = 1; f = 84.3004359
lambda = 0.33333; f = 84.3004354
lambda = 0.11111; f = 84.3004352
lambda = 0.037037; f = 84.3004352
lambda = 0.012346; f = 84.3004352
lambda = 0.0041152; f = 84.3004351
lambda = 0.0013717; f = 84.3004351
lambda = 0.00045725; f = 84.3004351
lambda = 0.00015242; f = 84.3004351
lambda = 5.0805e-05; f = 84.3004351
lambda = 1.6935e-05; f = 84.3004351
lambda = 5.645e-06; f = 84.3004351
lambda = 1.8817e-06; f = 84.3004351
lambda = 6.2723e-07; f = 84.3004351
lambda = 2.0908e-07; f = 84.3004351
lambda = 6.9692e-08; f = 84.3004351
lambda = 2.3231e-08; f = 84.3004351
lambda = 7.7435e-09; f = 84.3004351
lambda = 2.5812e-09; f = 84.3004351
Norm of dx 4.9999e-07
Done for param betta = 0.9900; f = 84.3004
Predicted improvement: 0.095767184
lambda = 1; f = 84.2060687
Norm of dx 0.00033083
Done for param rhho_A = 0.9539; f = 84.2061
Predicted improvement: 0.000099374
lambda = 1; f = 84.2059672
Norm of dx 0.0011253
Done for param rhho_G = 0.8766; f = 84.2060
Sequence of univariate steps!!
Actual dxnorm 0.0012065
FVAL 84.206
Improvement 0.2157
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 1.125731e-30.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.50129 s.
Iteration 14
Correct for low angle: 1.31174e-05
Predicted improvement: 2901625601649417.000000000
lambda = 1; f = 2540094358357615104.0000000
lambda = 0.33333; f = 282232706479650560.0000000
lambda = 0.11111; f = 31359189607340464.0000000
lambda = 0.037037; f = 3484354400312460.0000000
lambda = 0.012346; f = 387150488755940.5625000
lambda = 0.0041152; f = 43016720917043.5312500
lambda = 0.0013717; f = 4779635638886.2617188
lambda = 0.00045725; f = 531070620405.1450195
lambda = 0.00015242; f = 59007844715.6582794
lambda = 5.0805e-05; f = 6556426575.1870489
lambda = 1.6935e-05; f = 728491686.4400905
lambda = 5.645e-06; f = 80943518.8663024
lambda = 1.8817e-06; f = 8993773.6019136
lambda = 6.2723e-07; f = 999374.5056589
lambda = 2.0908e-07; f = 111113.6208194
lambda = 6.9692e-08; f = 12419.8607520
lambda = 2.3231e-08; f = 1454.5186790
lambda = 7.7435e-09; f = 236.3577602
lambda = 2.5812e-09; f = 101.0766879
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 278959596.5322698
lambda = -2.0908e-07; f = 30995534.6800591
lambda = -6.9692e-08; f = 3444006.1823951
lambda = -2.3231e-08; f = 382736.5483300
lambda = -7.7435e-09; f = 42599.2479182
lambda = -2.5812e-09; f = 4807.4712191
Norm of dx 1.3296e+11
Predicted improvement: 0.096976799
lambda = 1; f = 84.1086724
Norm of dx 2.0969e-05
Done for param eA = 0.0064; f = 84.1087
Predicted improvement: 0.001940428
lambda = 1; f = 84.1067198
Norm of dx 0.00026473
Done for param eG = 0.0066; f = 84.1067
Predicted improvement: 0.012405557
lambda = 1; f = 84.1067203
lambda = 0.33333; f = 84.1067200
lambda = 0.11111; f = 84.1067199
lambda = 0.037037; f = 84.1067198
lambda = 0.012346; f = 84.1067198
lambda = 0.0041152; f = 84.1067198
lambda = 0.0013717; f = 84.1067198
lambda = 0.00045725; f = 84.1067198
lambda = 0.00015242; f = 84.1067198
lambda = 5.0805e-05; f = 84.1067198
lambda = 1.6935e-05; f = 84.1067198
lambda = 5.645e-06; f = 84.1067198
lambda = 1.8817e-06; f = 84.1067198
lambda = 6.2723e-07; f = 84.1067198
lambda = 2.0908e-07; f = 84.1067198
lambda = 6.9692e-08; f = 84.1067198
lambda = 2.3231e-08; f = 84.1067198
lambda = 7.7435e-09; f = 84.1067198
lambda = 2.5812e-09; f = 84.1067198
Norm of dx 4.9999e-07
Done for param betta = 0.9900; f = 84.1067
Predicted improvement: 0.078389619
lambda = 1; f = 84.0293632
Norm of dx 0.00029659
Done for param rhho_A = 0.9542; f = 84.0294
Predicted improvement: 0.000091668
lambda = 1; f = 84.0292710
Norm of dx 0.0011536
Done for param rhho_G = 0.8754; f = 84.0293
Sequence of univariate steps!!
Actual dxnorm 0.0012204
FVAL 84.0293
Improvement 0.1767
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 6.449553e-30.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.54561 s.
Iteration 15
Correct for low angle: 3.24041e-10
Predicted improvement: 68514022034.819808960
lambda = 1; f = 1366790345481.7783203
lambda = 0.33333; f = 151865590583.0737305
lambda = 0.11111; f = 16873953439.2435799
lambda = 0.037037; f = 1874883408.6044028
lambda = 0.012346; f = 208320326.2399606
lambda = 0.0041152; f = 23146735.2127706
lambda = 0.0013717; f = 2571920.0289988
lambda = 0.00045725; f = 285838.8742554
lambda = 0.00015242; f = 31832.9974722
lambda = 5.0805e-05; f = 3611.1690775
lambda = 1.6935e-05; f = 475.7593015
lambda = 5.645e-06; f = 127.4967489
lambda = 1.8817e-06; f = 88.8396802
lambda = 6.2723e-07; f = 84.5573549
lambda = 2.0908e-07; f = 84.0858374
lambda = 6.9692e-08; f = 84.0348787
lambda = 2.3231e-08; f = 84.0296940
lambda = 7.7435e-09; f = 84.0292771
lambda = 2.5812e-09; f = 84.0292710
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 84.0292926
lambda = -2.0908e-07; f = 84.0292735
lambda = -6.9692e-08; f = 84.0292713
lambda = -2.3231e-08; f = 84.0292711
lambda = -7.7435e-09; f = 84.0292710
lambda = -2.5812e-09; f = 84.0292710
Norm of dx 1.4566e+06
Predicted improvement: 0.079719097
lambda = 1; f = 83.9493148
Norm of dx 1.8966e-05
Done for param eA = 0.0064; f = 83.9493
Predicted improvement: 0.001663287
lambda = 1; f = 83.9476426
Norm of dx 0.00024871
Done for param eG = 0.0063; f = 83.9476
Predicted improvement: 0.010203373
lambda = 1; f = 83.9476428
lambda = 0.33333; f = 83.9476427
lambda = 0.11111; f = 83.9476426
lambda = 0.037037; f = 83.9476426
lambda = 0.012346; f = 83.9476426
lambda = 0.0041152; f = 83.9476426
lambda = 0.0013717; f = 83.9476426
lambda = 0.00045725; f = 83.9476426
lambda = 0.00015242; f = 83.9476426
lambda = 5.0805e-05; f = 83.9476426
lambda = 1.6935e-05; f = 83.9476426
lambda = 5.645e-06; f = 83.9476426
lambda = 1.8817e-06; f = 83.9476426
lambda = 6.2723e-07; f = 83.9476426
lambda = 2.0908e-07; f = 83.9476426
lambda = 6.9692e-08; f = 83.9476426
lambda = 2.3231e-08; f = 83.9476426
lambda = 7.7435e-09; f = 83.9476426
lambda = 2.5812e-09; f = 83.9476426
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 83.9476426
lambda = -2.0908e-07; f = 83.9476426
lambda = -6.9692e-08; f = 83.9476426
lambda = -2.3231e-08; f = 83.9476426
lambda = -7.7435e-09; f = 83.9476426
lambda = -2.5812e-09; f = 83.9476426
Norm of dx 4.9999e-07
Done for param betta = 0.9900; f = 83.9476
Predicted improvement: 0.064431777
lambda = 1; f = 83.8839778
Norm of dx 0.00026669
Done for param rhho_A = 0.9545; f = 83.8840
Predicted improvement: 0.000077312
lambda = 1; f = 83.8838974
Norm of dx 0.001099
Done for param rhho_G = 0.8743; f = 83.8839
Sequence of univariate steps!!
Actual dxnorm 0.0011581
FVAL 83.8839
Improvement 0.14537
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 6.394200e-30.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.54543 s.
Iteration 16
Correct for low angle: 5.26773e-07
Predicted improvement: 22198252433171.406250000
lambda = 1; f = 84.9042018
lambda = 0.33333; f = 84.9042026
lambda = 0.11111; f = 84.9042048
lambda = 0.037037; f = 84.9042116
lambda = 0.012346; f = 84.9042320
lambda = 0.0041152; f = 84.9042933
lambda = 0.0013717; f = 84.9044769
lambda = 0.00045725; f = 84.9050282
lambda = 0.00015242; f = 84.9066847
lambda = 5.0805e-05; f = 84.9116784
lambda = 1.6935e-05; f = 84.9268811
lambda = 5.645e-06; f = 84.9745694
lambda = 1.8817e-06; f = 85.1390387
lambda = 6.2723e-07; f = 85.9377202
lambda = 2.0908e-07; f = 161.7337056
lambda = 6.9692e-08; f = 84.2556921
lambda = 2.3231e-08; f = 83.9048995
lambda = 7.7435e-09; f = 83.8858409
lambda = 2.5812e-09; f = 83.8841012
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 278253.2568384
lambda = -2.0908e-07; f = 30990.1021708
lambda = -6.9692e-08; f = 3517.4115874
lambda = -2.3231e-08; f = 465.2215010
lambda = -7.7435e-09; f = 126.1996323
lambda = -2.5812e-09; f = 88.5673199
Norm of dx 1.0696e+09
Predicted improvement: 0.065858042
lambda = 1; f = 83.8178612
Norm of dx 1.7201e-05
Done for param eA = 0.0063; f = 83.8179
Predicted improvement: 0.001427192
lambda = 1; f = 83.8164276
Norm of dx 0.0002334
Done for param eG = 0.0061; f = 83.8164
Predicted improvement: 0.008433709
lambda = 1; f = 83.8164276
lambda = 0.33333; f = 83.8164276
lambda = 0.11111; f = 83.8164276
lambda = 0.037037; f = 83.8164276
lambda = 0.012346; f = 83.8164276
lambda = 0.0041152; f = 83.8164276
lambda = 0.0013717; f = 83.8164276
lambda = 0.00045725; f = 83.8164276
lambda = 0.00015242; f = 83.8164276
lambda = 5.0805e-05; f = 83.8164276
lambda = 1.6935e-05; f = 83.8164276
lambda = 5.645e-06; f = 83.8164276
lambda = 1.8817e-06; f = 83.8164276
lambda = 6.2723e-07; f = 83.8164276
lambda = 2.0908e-07; f = 83.8164276
lambda = 6.9692e-08; f = 83.8164276
lambda = 2.3231e-08; f = 83.8164276
lambda = 7.7435e-09; f = 83.8164276
lambda = 2.5812e-09; f = 83.8164276
Norm of dx 5e-07
Done for param betta = 0.9900; f = 83.8164
Predicted improvement: 0.053151537
lambda = 1; f = 83.7638487
Norm of dx 0.00024043
Done for param rhho_A = 0.9547; f = 83.7638
Predicted improvement: 0.000076860
lambda = 1; f = 83.7637716
Norm of dx 0.0011763
Done for param rhho_G = 0.8732; f = 83.7638
Sequence of univariate steps!!
Actual dxnorm 0.0012232
FVAL 83.7638
Improvement 0.12013
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 6.380396e-30.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.5152 s.
Iteration 17
Correct for low angle: 7.82819e-08
Predicted improvement: 5540769548505.164062500
lambda = 1; f = 84.7840776
lambda = 0.33333; f = 84.7840816
lambda = 0.11111; f = 84.7840935
lambda = 0.037037; f = 84.7841293
lambda = 0.012346; f = 84.7842366
lambda = 0.0041152; f = 84.7845587
lambda = 0.0013717; f = 84.7855259
lambda = 0.00045725; f = 84.7884358
lambda = 0.00015242; f = 84.7972406
lambda = 5.0805e-05; f = 84.8243466
lambda = 1.6935e-05; f = 84.9123849
lambda = 5.645e-06; f = 85.2538787
lambda = 1.8817e-06; f = 88.1476634
lambda = 6.2723e-07; f = 87.1035903
lambda = 2.0908e-07; f = 83.8400120
lambda = 6.9692e-08; f = 83.7698317
lambda = 2.3231e-08; f = 83.7643805
lambda = 7.7435e-09; f = 83.7638370
lambda = 2.5812e-09; f = 83.7637787
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 10573.7938318
lambda = -2.0908e-07; f = 1249.0438488
lambda = -6.9692e-08; f = 213.1464422
lambda = -2.3231e-08; f = 98.1087052
lambda = -7.7435e-09; f = 85.3473839
lambda = -2.5812e-09; f = 83.9363281
Norm of dx 2.0331e+08
Predicted improvement: 0.054548208
lambda = 1; f = 83.7090891
Norm of dx 1.5623e-05
Done for param eA = 0.0063; f = 83.7091
Predicted improvement: 0.001223868
lambda = 1; f = 83.7078605
Norm of dx 0.00021865
Done for param eG = 0.0059; f = 83.7079
Predicted improvement: 0.006989023
lambda = 1; f = 83.7078603
lambda = 0.33333; f = 83.7078604
lambda = 0.11111; f = 83.7078604
lambda = 0.037037; f = 83.7078605
lambda = 0.012346; f = 83.7078605
lambda = 0.0041152; f = 83.7078605
lambda = 0.0013717; f = 83.7078605
lambda = 0.00045725; f = 83.7078605
lambda = 0.00015242; f = 83.7078605
lambda = 5.0805e-05; f = 83.7078605
lambda = 1.6935e-05; f = 83.7078605
lambda = 5.645e-06; f = 83.7078605
lambda = 1.8817e-06; f = 83.7078605
lambda = 6.2723e-07; f = 83.7078605
lambda = 2.0908e-07; f = 83.7078605
lambda = 6.9692e-08; f = 83.7078605
lambda = 2.3231e-08; f = 83.7078605
lambda = 7.7435e-09; f = 83.7078605
lambda = 2.5812e-09; f = 83.7078605
Norm of dx 5.0001e-07
Done for param betta = 0.9900; f = 83.7079
Predicted improvement: 0.044015306
lambda = 1; f = 83.6642753
Norm of dx 0.00021733
Done for param rhho_A = 0.9549; f = 83.6643
Predicted improvement: 0.000062154
lambda = 1; f = 83.6642113
Norm of dx 0.0010983
Done for param rhho_G = 0.8721; f = 83.6642
Sequence of univariate steps!!
Actual dxnorm 0.0011408
FVAL 83.6642
Improvement 0.09956
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 1.568729e-22.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.50571 s.
Iteration 18
Correct for low angle: 1.043e-05
Predicted improvement: 76668147546.786178589
lambda = 1; f = 84.6845168
lambda = 0.33333; f = 84.6845198
lambda = 0.11111; f = 84.6845286
lambda = 0.037037; f = 84.6845550
lambda = 0.012346; f = 84.6846344
lambda = 0.0041152; f = 84.6848725
lambda = 0.0013717; f = 84.6855872
lambda = 0.00045725; f = 84.6877358
lambda = 0.00015242; f = 84.6942227
lambda = 5.0805e-05; f = 84.7140576
lambda = 1.6935e-05; f = 84.7771253
lambda = 5.645e-06; f = 85.0045984
lambda = 1.8817e-06; f = 86.3408508
lambda = 6.2723e-07; f = 130.3767703
lambda = 2.0908e-07; f = 83.8351084
lambda = 6.9692e-08; f = 83.6759308
lambda = 2.3231e-08; f = 83.6653453
lambda = 7.7435e-09; f = 83.6643318
lambda = 2.5812e-09; f = 83.6642245
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 19423.2511974
lambda = -2.0908e-07; f = 2232.1422653
lambda = -6.9692e-08; f = 322.2623912
lambda = -2.3231e-08; f = 110.1346298
lambda = -7.7435e-09; f = 86.5919107
lambda = -2.5812e-09; f = 83.9850469
Norm of dx 2.7606e+08
Predicted improvement: 0.045409366
lambda = 1; f = 83.6187000
Norm of dx 1.4228e-05
Done for param eA = 0.0063; f = 83.6187
Predicted improvement: 0.001051044
lambda = 1; f = 83.6176456
Norm of dx 0.00020469
Done for param eG = 0.0057; f = 83.6176
Predicted improvement: 0.005820994
lambda = 1; f = 83.6176452
lambda = 0.33333; f = 83.6176455
lambda = 0.11111; f = 83.6176456
lambda = 0.037037; f = 83.6176456
lambda = 0.012346; f = 83.6176456
lambda = 0.0041152; f = 83.6176456
lambda = 0.0013717; f = 83.6176456
lambda = 0.00045725; f = 83.6176456
lambda = 0.00015242; f = 83.6176456
lambda = 5.0805e-05; f = 83.6176456
lambda = 1.6935e-05; f = 83.6176456
lambda = 5.645e-06; f = 83.6176456
lambda = 1.8817e-06; f = 83.6176456
lambda = 6.2723e-07; f = 83.6176456
lambda = 2.0908e-07; f = 83.6176456
lambda = 6.9692e-08; f = 83.6176456
lambda = 2.3231e-08; f = 83.6176456
lambda = 7.7435e-09; f = 83.6176456
lambda = 2.5812e-09; f = 83.6176456
Norm of dx 5.0002e-07
Done for param betta = 0.9900; f = 83.6176
Predicted improvement: 0.036561476
lambda = 1; f = 83.5814087
Norm of dx 0.00019688
Done for param rhho_A = 0.9551; f = 83.5814
Predicted improvement: 0.000056758
lambda = 1; f = 83.5813496
Norm of dx 0.0010932
Done for param rhho_G = 0.8710; f = 83.5813
Sequence of univariate steps!!
Actual dxnorm 0.0011296
FVAL 83.5813
Improvement 0.082862
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 1.497794e-20.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.5012 s.
Iteration 19
Correct for low angle: 0.000210744
Predicted improvement: 4283806458.872697353
lambda = 1; f = 610577321163.8282471
lambda = 0.33333; f = 67841922457.7772369
lambda = 0.11111; f = 7537990728.4000263
lambda = 0.037037; f = 837554356.3083454
lambda = 0.012346; f = 93061588.3186055
lambda = 0.0041152; f = 10340223.7339685
lambda = 0.0013717; f = 1148979.0293054
lambda = 0.00045725; f = 127735.6266639
lambda = 0.00015242; f = 14266.1404775
lambda = 5.0805e-05; f = 1659.0874554
lambda = 1.6935e-05; f = 258.5263414
lambda = 5.645e-06; f = 102.9826249
lambda = 1.8817e-06; f = 85.7247180
lambda = 6.2723e-07; f = 83.8154156
lambda = 2.0908e-07; f = 83.6060185
lambda = 6.9692e-08; f = 83.5836680
lambda = 2.3231e-08; f = 83.5814899
lambda = 7.7435e-09; f = 83.5813496
lambda = 2.5812e-09; f = 83.5813496
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 21912.6091869
lambda = -2.0908e-07; f = 2508.6555201
lambda = -6.9692e-08; f = 352.9095987
lambda = -2.3231e-08; f = 113.4652509
lambda = -7.7435e-09; f = 86.8879823
lambda = -2.5812e-09; f = 83.9441721
Norm of dx 2.9339e+08
Predicted improvement: 0.037890679
lambda = 1; f = 83.5433812
Norm of dx 1.2975e-05
Done for param eA = 0.0063; f = 83.5434
Predicted improvement: 0.000902265
lambda = 1; f = 83.5424766
Norm of dx 0.00019136
Done for param eG = 0.0055; f = 83.5425
Predicted improvement: 0.000848784
lambda = 1; f = 83.5813521
lambda = 0.33333; f = 83.5813499
lambda = 0.11111; f = 83.5813496
lambda = 0.037037; f = 83.5813496
lambda = 0.012346; f = 83.5813496
lambda = 0.0041152; f = 83.5424697
lambda = 0.0079555; f = 83.5813496
lambda = 0.0053568; f = 83.5424676
lambda = 0.0067914; f = 83.5424651
lambda = 0.0086103; f = 83.5813496
lambda = 0.0074677; f = 83.5813496
lambda = 0.0068562; f = 83.5424650
lambda = 0.0072168; f = 83.5813496
lambda = 0.0069982; f = 83.5813496
lambda = 0.0068703; f = 83.5424650
lambda = 0.0069468; f = 83.5813496
Norm of dx 0.0015672
Done for param betta = 0.9900; f = 83.5425
Predicted improvement: 0.030408655
lambda = 1; f = 83.5123022
Norm of dx 0.00017856
Done for param rhho_A = 0.9553; f = 83.5123
Predicted improvement: 0.000053128
lambda = 1; f = 83.5122487
Norm of dx 0.0011279
Done for param rhho_G = 0.8698; f = 83.5122
Sequence of univariate steps!!
Actual dxnorm 0.0011579
FVAL 83.5122
Improvement 0.069101
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 2.104944e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.33579 s.
Iteration 20
Correct for low angle: 6.86727e-05
Predicted improvement: 13156980875.417219162
lambda = 1; f = 84.5325513
lambda = 0.33333; f = 84.5325484
lambda = 0.11111; f = 84.5325396
lambda = 0.037037; f = 84.5325133
lambda = 0.012346; f = 84.5324343
lambda = 0.0041152; f = 84.5321975
lambda = 0.0013717; f = 84.5314875
lambda = 0.00045725; f = 84.5293618
lambda = 0.00015242; f = 84.5230246
lambda = 5.0805e-05; f = 84.5043643
lambda = 1.6935e-05; f = 84.4513820
lambda = 5.645e-06; f = 84.3156118
lambda = 1.8817e-06; f = 84.0473248
lambda = 6.2723e-07; f = 83.7344901
lambda = 2.0908e-07; f = 83.5642857
lambda = 6.9692e-08; f = 83.5202613
lambda = 2.3231e-08; f = 83.5132541
lambda = 7.7435e-09; f = 83.5123652
lambda = 2.5812e-09; f = 83.5122618
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 21929.9118604
lambda = -2.0908e-07; f = 2510.5287363
lambda = -6.9692e-08; f = 353.0603730
lambda = -2.3231e-08; f = 113.4219536
lambda = -7.7435e-09; f = 86.8222068
lambda = -2.5812e-09; f = 83.8755922
Norm of dx 2.9351e+08
Predicted improvement: 0.031710583
lambda = 1; f = 83.4804787
Norm of dx 1.1852e-05
Done for param eA = 0.0063; f = 83.4805
Predicted improvement: 0.000772448
lambda = 1; f = 83.4797047
Norm of dx 0.00017847
Done for param eG = 0.0053; f = 83.4797
Predicted improvement: 0.004067486
lambda = 1; f = 83.4797054
lambda = 0.33333; f = 83.4797049
lambda = 0.11111; f = 83.4797047
lambda = 0.037037; f = 83.4797047
lambda = 0.012346; f = 83.4797047
lambda = 0.0041152; f = 83.4797047
lambda = 0.0013717; f = 83.4797047
lambda = 0.00045725; f = 83.4797047
lambda = 0.00015242; f = 83.4797047
lambda = 5.0805e-05; f = 83.4797047
lambda = 1.6935e-05; f = 83.4797047
lambda = 5.645e-06; f = 83.4797047
lambda = 1.8817e-06; f = 83.4797047
lambda = 6.2723e-07; f = 83.4797047
lambda = 2.0908e-07; f = 83.4797047
lambda = 6.9692e-08; f = 83.4797047
lambda = 2.3231e-08; f = 83.4797047
lambda = 7.7435e-09; f = 83.4797047
lambda = 2.5812e-09; f = 83.4797047
Norm of dx 4.9996e-07
Done for param betta = 0.9900; f = 83.4797
Predicted improvement: 0.025479279
lambda = 1; f = 83.4544135
Norm of dx 0.00016264
Done for param rhho_A = 0.9555; f = 83.4544
Predicted improvement: 0.000045341
lambda = 1; f = 83.4543700
Norm of dx 0.0011144
Done for param rhho_G = 0.8687; f = 83.4544
Sequence of univariate steps!!
Actual dxnorm 0.0011404
FVAL 83.4544
Improvement 0.057879
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 9.962951e-19.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.45784 s.
Iteration 21
Correct for low angle: 7.83694e-05
Predicted improvement: 10713875254.374284744
lambda = 1; f = 84.4746725
lambda = 0.33333; f = 84.4746695
lambda = 0.11111; f = 84.4746603
lambda = 0.037037; f = 84.4746327
lambda = 0.012346; f = 84.4745498
lambda = 0.0041152; f = 84.4743014
lambda = 0.0013717; f = 84.4735566
lambda = 0.00045725; f = 84.4713273
lambda = 0.00015242; f = 84.4646829
lambda = 5.0805e-05; f = 84.4451357
lambda = 1.6935e-05; f = 84.3897811
lambda = 5.645e-06; f = 84.2489447
lambda = 1.8817e-06; f = 83.9752835
lambda = 6.2723e-07; f = 83.6654464
lambda = 2.0908e-07; f = 83.5026761
lambda = 6.9692e-08; f = 83.4617127
lambda = 2.3231e-08; f = 83.4552864
lambda = 7.7435e-09; f = 83.4544760
lambda = 2.5812e-09; f = 83.4543819
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 20391.8083880
lambda = -2.0908e-07; f = 2339.6012126
lambda = -6.9692e-08; f = 334.0250803
lambda = -2.3231e-08; f = 111.2581686
lambda = -7.7435e-09; f = 86.5312346
lambda = -2.5812e-09; f = 83.7921118
Norm of dx 2.8285e+08
Predicted improvement: 0.026615767
lambda = 1; f = 83.4277086
Norm of dx 1.0843e-05
Done for param eA = 0.0063; f = 83.4277
Predicted improvement: 0.000664328
lambda = 1; f = 83.4270432
Norm of dx 0.00016667
Done for param eG = 0.0051; f = 83.4270
Predicted improvement: 0.003415221
lambda = 1; f = 83.4270441
lambda = 0.33333; f = 83.4270435
lambda = 0.11111; f = 83.4270433
lambda = 0.037037; f = 83.4270432
lambda = 0.012346; f = 83.4270432
lambda = 0.0041152; f = 83.4270432
lambda = 0.0013717; f = 83.4270432
lambda = 0.00045725; f = 83.4270432
lambda = 0.00015242; f = 83.4270432
lambda = 5.0805e-05; f = 83.4270432
lambda = 1.6935e-05; f = 83.4270432
lambda = 5.645e-06; f = 83.4270432
lambda = 1.8817e-06; f = 83.4270432
lambda = 6.2723e-07; f = 83.4270432
lambda = 2.0908e-07; f = 83.4270432
lambda = 6.9692e-08; f = 83.4270432
lambda = 2.3231e-08; f = 83.4270432
lambda = 7.7435e-09; f = 83.4270432
lambda = 2.5812e-09; f = 83.4270432
Norm of dx 4.9994e-07
Done for param betta = 0.9900; f = 83.4270
Predicted improvement: 0.021348610
lambda = 1; f = 83.4058386
Norm of dx 0.00014819
Done for param rhho_A = 0.9556; f = 83.4058
Predicted improvement: 0.000033961
lambda = 1; f = 83.4058044
Norm of dx 0.00098244
Done for param rhho_G = 0.8677; f = 83.4058
Sequence of univariate steps!!
Actual dxnorm 0.0010075
FVAL 83.4058
Improvement 0.048566
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 1.087382e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.48155 s.
Iteration 22
Correct for low angle: 0.000111452
Predicted improvement: 10995064437.703731537
lambda = 1; f = 84.4261071
lambda = 0.33333; f = 84.4261046
lambda = 0.11111; f = 84.4260968
lambda = 0.037037; f = 84.4260736
lambda = 0.012346; f = 84.4260040
lambda = 0.0041152; f = 84.4257952
lambda = 0.0013717; f = 84.4251693
lambda = 0.00045725; f = 84.4232948
lambda = 0.00015242; f = 84.4177024
lambda = 5.0805e-05; f = 84.4011989
lambda = 1.6935e-05; f = 84.3540406
lambda = 5.645e-06; f = 84.2310553
lambda = 1.8817e-06; f = 83.9776531
lambda = 6.2723e-07; f = 83.6590423
lambda = 2.0908e-07; f = 83.4688848
lambda = 6.9692e-08; f = 83.4158748
lambda = 2.3231e-08; f = 83.4070874
lambda = 7.7435e-09; f = 83.4059538
lambda = 2.5812e-09; f = 83.4058212
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 29663.1255991
lambda = -2.0908e-07; f = 3369.6475341
lambda = -6.9692e-08; f = 448.4125457
lambda = -2.3231e-08; f = 123.9183936
lambda = -7.7435e-09; f = 87.8926473
lambda = -2.5812e-09; f = 83.8995062
Norm of dx 3.4238e+08
Predicted improvement: 0.022410009
lambda = 1; f = 83.3833591
Norm of dx 9.9367e-06
Done for param eA = 0.0063; f = 83.3834
Predicted improvement: 0.000571265
lambda = 1; f = 83.3827872
Norm of dx 0.00015548
Done for param eG = 0.0050; f = 83.3828
Predicted improvement: 0.002876421
lambda = 1; f = 83.3827881
lambda = 0.33333; f = 83.3827875
lambda = 0.11111; f = 83.3827873
lambda = 0.037037; f = 83.3827872
lambda = 0.012346; f = 83.3827872
lambda = 0.0041152; f = 83.3827872
lambda = 0.0013717; f = 83.3827872
lambda = 0.00045725; f = 83.3827872
lambda = 0.00015242; f = 83.3827872
lambda = 5.0805e-05; f = 83.3827872
lambda = 1.6935e-05; f = 83.3827872
lambda = 5.645e-06; f = 83.3827872
lambda = 1.8817e-06; f = 83.3827872
lambda = 6.2723e-07; f = 83.3827872
lambda = 2.0908e-07; f = 83.3827872
lambda = 6.9692e-08; f = 83.3827872
lambda = 2.3231e-08; f = 83.3827872
lambda = 7.7435e-09; f = 83.3827872
lambda = 2.5812e-09; f = 83.3827872
Norm of dx 4.9992e-07
Done for param betta = 0.9900; f = 83.3828
Predicted improvement: 0.017922830
lambda = 1; f = 83.3649749
Norm of dx 0.00013522
Done for param rhho_A = 0.9557; f = 83.3650
Predicted improvement: 0.000031177
lambda = 1; f = 83.3649424
Norm of dx 0.00096011
Done for param rhho_G = 0.8668; f = 83.3649
Sequence of univariate steps!!
Actual dxnorm 0.00098202
FVAL 83.3649
Improvement 0.040862
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 2.120131e-19.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.4812 s.
Iteration 23
Correct for low angle: 0.000143992
Predicted improvement: 3749373362.615162849
lambda = 1; f = 35773224232.0425491
lambda = 0.33333; f = 3974802240.2244072
lambda = 0.11111; f = 441644592.0181497
lambda = 0.037037; f = 49071636.9567813
lambda = 0.012346; f = 5452458.7149234
lambda = 0.0041152; f = 605896.3504446
lambda = 0.0013717; f = 67393.7529673
lambda = 0.00045725; f = 7561.5749951
lambda = 0.00015242; f = 914.0365437
lambda = 5.0805e-05; f = 175.5816013
lambda = 1.6935e-05; f = 93.5845325
lambda = 5.645e-06; f = 84.4915738
lambda = 1.8817e-06; f = 83.4871874
lambda = 6.2723e-07; f = 83.3775696
lambda = 2.0908e-07; f = 83.3660501
lambda = 6.9692e-08; f = 83.3649903
lambda = 2.3231e-08; f = 83.3653388
lambda = 7.7435e-09; f = 83.3649876
lambda = 2.5812e-09; f = 83.3649474
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 13172.2020536
lambda = -2.0908e-07; f = 1537.4262481
lambda = -6.9692e-08; f = 244.8426815
lambda = -2.3231e-08; f = 101.2787188
lambda = -7.7435e-09; f = 85.3459786
lambda = -2.5812e-09; f = 83.5819445
Norm of dx 2.2623e+08
Predicted improvement: 0.018886606
lambda = 1; f = 83.3460286
Norm of dx 9.1115e-06
Done for param eA = 0.0063; f = 83.3460
Predicted improvement: 0.000490481
lambda = 1; f = 83.3455376
Norm of dx 0.00014482
Done for param eG = 0.0048; f = 83.3455
Predicted improvement: 0.002424777
lambda = 1; f = 83.3455387
lambda = 0.33333; f = 83.3455379
lambda = 0.11111; f = 83.3455377
lambda = 0.037037; f = 83.3455376
lambda = 0.012346; f = 83.3455376
lambda = 0.0041152; f = 83.3455376
lambda = 0.0013717; f = 83.3455376
lambda = 0.00045725; f = 83.3455376
lambda = 0.00015242; f = 83.3455376
lambda = 5.0805e-05; f = 83.3455376
lambda = 1.6935e-05; f = 83.3455376
lambda = 5.645e-06; f = 83.3455376
lambda = 1.8817e-06; f = 83.3455376
lambda = 6.2723e-07; f = 83.3455376
lambda = 2.0908e-07; f = 83.3455376
lambda = 6.9692e-08; f = 83.3455376
lambda = 2.3231e-08; f = 83.3455376
lambda = 7.7435e-09; f = 83.3455376
lambda = 2.5812e-09; f = 83.3455376
Norm of dx 4.9989e-07
Done for param betta = 0.9900; f = 83.3455
Predicted improvement: 0.015082254
lambda = 1; f = 83.3305406
Norm of dx 0.00012357
Done for param rhho_A = 0.9559; f = 83.3305
Predicted improvement: 0.000029439
lambda = 1; f = 83.3305102
Norm of dx 0.00097392
Done for param rhho_G = 0.8658; f = 83.3305
Sequence of univariate steps!!
Actual dxnorm 0.0009924
FVAL 83.3305
Improvement 0.034432
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 1.764758e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.4721 s.
Iteration 24
Correct for low angle: 0.000125717
Predicted improvement: 2485331002.920473099
lambda = 1; f = 26296518612.7981491
lambda = 0.33333; f = 2921835024.8914695
lambda = 0.11111; f = 324648259.9699364
lambda = 0.037037; f = 36072052.8902427
lambda = 0.012346; f = 4008063.2593246
lambda = 0.0041152; f = 445408.8707571
lambda = 0.0013717; f = 49562.0917981
lambda = 0.00045725; f = 5580.3525781
lambda = 0.00015242; f = 693.9047381
lambda = 5.0805e-05; f = 151.1034469
lambda = 1.6935e-05; f = 90.8379783
lambda = 5.645e-06; f = 84.1570771
lambda = 1.8817e-06; f = 83.4198420
lambda = 6.2723e-07; f = 83.3396228
lambda = 2.0908e-07; f = 83.3312748
lambda = 6.9692e-08; f = 83.3305357
lambda = 2.3231e-08; f = 83.3307263
lambda = 7.7435e-09; f = 83.3305346
lambda = 2.5812e-09; f = 83.3305129
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 7675.5000971
lambda = -2.0908e-07; f = 926.7171243
lambda = -6.9692e-08; f = 176.9775531
lambda = -2.3231e-08; f = 93.7148908
lambda = -7.7435e-09; f = 84.4773954
lambda = -2.5812e-09; f = 83.4556442
Norm of dx 1.7165e+08
Predicted improvement: 0.015945500
lambda = 1; f = 83.3145436
Norm of dx 8.363e-06
Done for param eA = 0.0062; f = 83.3145
Predicted improvement: 0.000420781
lambda = 1; f = 83.3141226
Norm of dx 0.00013476
Done for param eG = 0.0047; f = 83.3141
Predicted improvement: 0.002047548
lambda = 1; f = 83.3141238
lambda = 0.33333; f = 83.3141230
lambda = 0.11111; f = 83.3141227
lambda = 0.037037; f = 83.3141226
lambda = 0.012346; f = 83.3141226
lambda = 0.0041152; f = 83.3141226
lambda = 0.0013717; f = 83.3141226
lambda = 0.00045725; f = 83.3141226
lambda = 0.00015242; f = 83.3141226
lambda = 5.0805e-05; f = 83.3141226
lambda = 1.6935e-05; f = 83.3141226
lambda = 5.645e-06; f = 83.3141226
lambda = 1.8817e-06; f = 83.3141226
lambda = 6.2723e-07; f = 83.3141226
lambda = 2.0908e-07; f = 83.3141226
lambda = 6.9692e-08; f = 83.3141226
lambda = 2.3231e-08; f = 83.3141226
lambda = 7.7435e-09; f = 83.3141226
lambda = 2.5812e-09; f = 83.3141226
Norm of dx 4.9985e-07
Done for param betta = 0.9900; f = 83.3141
Predicted improvement: 0.012720562
lambda = 1; f = 83.3014679
Norm of dx 0.00011309
Done for param rhho_A = 0.9560; f = 83.3015
Predicted improvement: 0.000024595
lambda = 1; f = 83.3014422
Norm of dx 0.00091705
Done for param rhho_G = 0.8649; f = 83.3014
Sequence of univariate steps!!
Actual dxnorm 0.00093381
FVAL 83.3014
Improvement 0.029068
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 7.403703e-19.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.50311 s.
Iteration 25
Correct for low angle: 0.000204676
Predicted improvement: 1895495012.476736307
lambda = 1; f = 148593231930.9203186
lambda = 0.33333; f = 16510358107.7805634
lambda = 0.11111; f = 1834483951.6766708
lambda = 0.037037; f = 203831505.3764146
lambda = 0.012346; f = 22647979.4690371
lambda = 0.0041152; f = 2516503.0028048
lambda = 0.0013717; f = 279681.0884563
lambda = 0.00045725; f = 31148.2549026
lambda = 0.00015242; f = 3534.4738546
lambda = 5.0805e-05; f = 466.6020389
lambda = 1.6935e-05; f = 125.8360856
lambda = 5.645e-06; f = 88.0094329
lambda = 1.8817e-06; f = 83.8185484
lambda = 6.2723e-07; f = 83.3569203
lambda = 2.0908e-07; f = 83.3069702
lambda = 6.9692e-08; f = 83.3018674
lambda = 2.3231e-08; f = 83.3014496
lambda = 7.7435e-09; f = 83.3014533
lambda = 2.5812e-09; f = 83.3014434
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 9501.9513785
lambda = -2.0908e-07; f = 1129.6147564
lambda = -6.9692e-08; f = 199.4907085
lambda = -2.3231e-08; f = 96.1887843
lambda = -7.7435e-09; f = 84.7258568
lambda = -2.5812e-09; f = 83.4572196
Norm of dx 1.9147e+08
Predicted improvement: 0.013494458
lambda = 1; f = 83.2879314
Norm of dx 7.6859e-06
Done for param eA = 0.0062; f = 83.2879
Predicted improvement: 0.000361279
lambda = 1; f = 83.2875699
Norm of dx 0.00012537
Done for param eG = 0.0046; f = 83.2876
Predicted improvement: 0.001733054
lambda = 1; f = 83.2875712
lambda = 0.33333; f = 83.2875703
lambda = 0.11111; f = 83.2875700
lambda = 0.037037; f = 83.2875699
lambda = 0.012346; f = 83.2875699
lambda = 0.0041152; f = 83.2875699
lambda = 0.0013717; f = 83.2875699
lambda = 0.00045725; f = 83.2875699
lambda = 0.00015242; f = 83.2875699
lambda = 5.0805e-05; f = 83.2875699
lambda = 1.6935e-05; f = 83.2875699
lambda = 5.645e-06; f = 83.2875699
lambda = 1.8817e-06; f = 83.2875699
lambda = 6.2723e-07; f = 83.2875699
lambda = 2.0908e-07; f = 83.2875699
lambda = 6.9692e-08; f = 83.2875699
lambda = 2.3231e-08; f = 83.2875699
lambda = 7.7435e-09; f = 83.2875699
lambda = 2.5812e-09; f = 83.2875699
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 83.2875699
Norm of dx 4.9981e-07
Done for param betta = 0.9900; f = 83.2876
Predicted improvement: 0.010746256
lambda = 1; f = 83.2768748
Norm of dx 0.00010362
Done for param rhho_A = 0.9561; f = 83.2769
Predicted improvement: 0.000021324
lambda = 1; f = 83.2768522
Norm of dx 0.00087698
Done for param rhho_G = 0.8640; f = 83.2769
Sequence of univariate steps!!
Actual dxnorm 0.00089197
FVAL 83.2769
Improvement 0.02459
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 2.023135e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.43692 s.
Iteration 26
Correct for low angle: 0.000181282
Predicted improvement: 1370908544.360812187
lambda = 1; f = 98573952590.4843445
lambda = 0.33333; f = 10952660602.7868900
lambda = 0.11111; f = 1216962073.1625402
lambda = 0.037037; f = 135217985.4664392
lambda = 0.012346; f = 15024262.4024069
lambda = 0.0041152; f = 1669425.7701001
lambda = 0.0013717; f = 185562.1951501
lambda = 0.00045725; f = 20690.8519244
lambda = 0.00015242; f = 2372.6095630
lambda = 5.0805e-05; f = 337.5145589
lambda = 1.6935e-05; f = 111.4813112
lambda = 5.645e-06; f = 86.3959790
lambda = 1.8817e-06; f = 83.6185443
lambda = 6.2723e-07; f = 83.3132152
lambda = 2.0908e-07; f = 83.2803813
lambda = 6.9692e-08; f = 83.2770970
lambda = 2.3231e-08; f = 83.2768534
lambda = 7.7435e-09; f = 83.2768585
lambda = 2.5812e-09; f = 83.2768529
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 6128.4045767
lambda = -2.0908e-07; f = 754.7991360
lambda = -6.9692e-08; f = 157.8375936
lambda = -2.3231e-08; f = 91.5437763
lambda = -7.7435e-09; f = 84.1895443
lambda = -2.5812e-09; f = 83.3763233
Norm of dx 1.5289e+08
Predicted improvement: 0.011435619
lambda = 1; f = 83.2654039
Norm of dx 7.0689e-06
Done for param eA = 0.0062; f = 83.2654
Predicted improvement: 0.000310315
lambda = 1; f = 83.2650935
Norm of dx 0.00011661
Done for param eG = 0.0045; f = 83.2651
Predicted improvement: 0.001468785
lambda = 1; f = 83.2650949
lambda = 0.33333; f = 83.2650940
lambda = 0.11111; f = 83.2650937
lambda = 0.037037; f = 83.2650936
lambda = 0.012346; f = 83.2650935
lambda = 0.0041152; f = 83.2650935
lambda = 0.0013717; f = 83.2650935
lambda = 0.00045725; f = 83.2650935
lambda = 0.00015242; f = 83.2650935
lambda = 5.0805e-05; f = 83.2650935
lambda = 1.6935e-05; f = 83.2650935
lambda = 5.645e-06; f = 83.2650935
lambda = 1.8817e-06; f = 83.2650935
lambda = 6.2723e-07; f = 83.2650935
lambda = 2.0908e-07; f = 83.2650935
lambda = 6.9692e-08; f = 83.2650935
lambda = 2.3231e-08; f = 83.2650935
lambda = 7.7435e-09; f = 83.2650935
lambda = 2.5812e-09; f = 83.2650935
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 83.2650935
Norm of dx 4.9976e-07
Done for param betta = 0.9900; f = 83.2651
Predicted improvement: 0.009092681
lambda = 1; f = 83.2560406
Norm of dx 9.5037e-05
Done for param rhho_A = 0.9562; f = 83.2560
Predicted improvement: 0.000019406
lambda = 1; f = 83.2560206
Norm of dx 0.00087712
Done for param rhho_G = 0.8631; f = 83.2560
Sequence of univariate steps!!
Actual dxnorm 0.00088996
FVAL 83.256
Improvement 0.020832
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 1.047845e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.50248 s.
Iteration 27
Correct for low angle: 0.000170013
Predicted improvement: 884631894.908591032
lambda = 1; f = 86829874948.6820526
lambda = 0.33333; f = 9647763141.4182301
lambda = 0.11111; f = 1071973484.4605051
lambda = 0.037037; f = 119108148.3038809
lambda = 0.012346; f = 13234282.4919636
lambda = 0.0041152; f = 1470539.7665420
lambda = 0.0013717; f = 163463.9556848
lambda = 0.00045725; f = 18235.5480973
lambda = 0.00015242; f = 2099.8043864
lambda = 5.0805e-05; f = 307.1926478
lambda = 1.6935e-05; f = 108.0964570
lambda = 5.645e-06; f = 86.0022884
lambda = 1.8817e-06; f = 83.5565909
lambda = 6.2723e-07; f = 83.2879168
lambda = 2.0908e-07; f = 83.2590875
lambda = 6.9692e-08; f = 83.2562253
lambda = 2.3231e-08; f = 83.2560210
lambda = 7.7435e-09; f = 83.2560206
lambda = 2.5812e-09; f = 83.2560206
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 3748.5436952
lambda = -2.0908e-07; f = 490.3898692
lambda = -6.9692e-08; f = 128.4530143
lambda = -2.3231e-08; f = 88.2645538
lambda = -7.7435e-09; f = 83.8080845
lambda = -2.5812e-09; f = 83.3158930
Norm of dx 1.1863e+08
Predicted improvement: 0.009702608
lambda = 1; f = 83.2463081
Norm of dx 6.5058e-06
Done for param eA = 0.0062; f = 83.2463
Predicted improvement: 0.000266048
lambda = 1; f = 83.2460420
Norm of dx 0.0001083
Done for param eG = 0.0044; f = 83.2460
Predicted improvement: 0.001246203
lambda = 1; f = 83.2460435
lambda = 0.33333; f = 83.2460425
lambda = 0.11111; f = 83.2460422
lambda = 0.037037; f = 83.2460421
lambda = 0.012346; f = 83.2460420
lambda = 0.0041152; f = 83.2460420
lambda = 0.0013717; f = 83.2460420
lambda = 0.00045725; f = 83.2460420
lambda = 0.00015242; f = 83.2460420
lambda = 5.0805e-05; f = 83.2460420
lambda = 1.6935e-05; f = 83.2460420
lambda = 5.645e-06; f = 83.2460420
lambda = 1.8817e-06; f = 83.2460420
lambda = 6.2723e-07; f = 83.2460420
lambda = 2.0908e-07; f = 83.2460420
lambda = 6.9692e-08; f = 83.2460420
lambda = 2.3231e-08; f = 83.2460420
lambda = 7.7435e-09; f = 83.2460420
lambda = 2.5812e-09; f = 83.2460420
Norm of dx 4.997e-07
Done for param betta = 0.9900; f = 83.2460
Predicted improvement: 0.007707957
lambda = 1; f = 83.2383651
Norm of dx 8.7269e-05
Done for param rhho_A = 0.9563; f = 83.2384
Predicted improvement: 0.000015481
lambda = 1; f = 83.2383490
Norm of dx 0.00080311
Done for param rhho_G = 0.8623; f = 83.2383
Sequence of univariate steps!!
Actual dxnorm 0.00081509
FVAL 83.2383
Improvement 0.017672
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 2.106665e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.45657 s.
Iteration 28
Correct for low angle: 0.000200512
Predicted improvement: 889696672.304919243
lambda = 1; f = 102127404040.6073914
lambda = 0.33333; f = 11347488528.0377560
lambda = 0.11111; f = 1260831838.0614767
lambda = 0.037037; f = 140092402.2412656
lambda = 0.012346; f = 15565863.7277005
lambda = 0.0041152; f = 1729603.4927905
lambda = 0.0013717; f = 192248.5185181
lambda = 0.00045725; f = 21433.7238382
lambda = 0.00015242; f = 2455.1104349
lambda = 5.0805e-05; f = 346.6450217
lambda = 1.6935e-05; f = 112.4608899
lambda = 5.645e-06; f = 86.4703652
lambda = 1.8817e-06; f = 83.5925073
lambda = 6.2723e-07; f = 83.2760713
lambda = 2.0908e-07; f = 83.2420204
lambda = 6.9692e-08; f = 83.2386066
lambda = 2.3231e-08; f = 83.2383504
lambda = 7.7435e-09; f = 83.2383490
lambda = 2.5812e-09; f = 83.2383490
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 4428.0031878
lambda = -2.0908e-07; f = 565.8621516
lambda = -6.9692e-08; f = 136.8206119
lambda = -2.3231e-08; f = 89.1777437
lambda = -7.7435e-09; f = 83.8935630
lambda = -2.5812e-09; f = 83.3095889
Norm of dx 1.2931e+08
Predicted improvement: 0.008247217
lambda = 1; f = 83.2300940
Norm of dx 5.9934e-06
Done for param eA = 0.0062; f = 83.2301
Predicted improvement: 0.000228634
lambda = 1; f = 83.2298654
Norm of dx 0.00010067
Done for param eG = 0.0043; f = 83.2299
Predicted improvement: 0.001059267
lambda = 1; f = 83.2298670
lambda = 0.33333; f = 83.2298659
lambda = 0.11111; f = 83.2298656
lambda = 0.037037; f = 83.2298654
lambda = 0.012346; f = 83.2298654
lambda = 0.0041152; f = 83.2298654
lambda = 0.0013717; f = 83.2298654
lambda = 0.00045725; f = 83.2298654
lambda = 0.00015242; f = 83.2298654
lambda = 5.0805e-05; f = 83.2298654
lambda = 1.6935e-05; f = 83.2298654
lambda = 5.645e-06; f = 83.2298654
lambda = 1.8817e-06; f = 83.2298654
lambda = 6.2723e-07; f = 83.2298654
lambda = 2.0908e-07; f = 83.2298654
lambda = 6.9692e-08; f = 83.2298654
lambda = 2.3231e-08; f = 83.2298654
lambda = 7.7435e-09; f = 83.2298654
lambda = 2.5812e-09; f = 83.2298654
Norm of dx 4.9963e-07
Done for param betta = 0.9900; f = 83.2299
Predicted improvement: 0.006540147
lambda = 1; f = 83.2233494
Norm of dx 8.019e-05
Done for param rhho_A = 0.9563; f = 83.2233
Predicted improvement: 0.000013358
lambda = 1; f = 83.2233354
Norm of dx 0.00076314
Done for param rhho_G = 0.8616; f = 83.2233
Sequence of univariate steps!!
Actual dxnorm 0.00077394
FVAL 83.2233
Improvement 0.015014
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 1.634683e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.42893 s.
Iteration 29
Correct for low angle: 0.00015702
Predicted improvement: 629217405.294941425
lambda = 1; f = 48708186207.3900299
lambda = 0.33333; f = 5412020153.9192982
lambda = 0.11111; f = 601335443.3783530
lambda = 0.037037; f = 66815055.4887008
lambda = 0.012346; f = 7423946.4466682
lambda = 0.0041152; f = 824949.3868631
lambda = 0.0013717; f = 91732.5099879
lambda = 0.00045725; f = 10265.6409992
lambda = 0.00015242; f = 1214.3242958
lambda = 5.0805e-05; f = 208.8083161
lambda = 1.6935e-05; f = 97.1462772
lambda = 5.645e-06; f = 84.7600369
lambda = 1.8817e-06; f = 83.3906722
lambda = 6.2723e-07; f = 83.2408154
lambda = 2.0908e-07; f = 83.2249295
lambda = 6.9692e-08; f = 83.2234194
lambda = 2.3231e-08; f = 83.2233429
lambda = 7.7435e-09; f = 83.2233363
lambda = 2.5812e-09; f = 83.2233355
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 2494.7679691
lambda = -2.0908e-07; f = 351.0796909
lambda = -6.9692e-08; f = 112.9541474
lambda = -2.3231e-08; f = 86.5164346
lambda = -7.7435e-09; f = 83.5858047
lambda = -2.5812e-09; f = 83.2624770
Norm of dx 9.595e+07
Predicted improvement: 0.007015412
lambda = 1; f = 83.2163140
Norm of dx 5.5238e-06
Done for param eA = 0.0062; f = 83.2163
Predicted improvement: 0.000196386
lambda = 1; f = 83.2161176
Norm of dx 9.3518e-05
Done for param eG = 0.0042; f = 83.2161
Predicted improvement: 0.000900990
lambda = 1; f = 83.2161192
lambda = 0.33333; f = 83.2161181
lambda = 0.11111; f = 83.2161178
lambda = 0.037037; f = 83.2161177
lambda = 0.012346; f = 83.2161176
lambda = 0.0041152; f = 83.2161176
lambda = 0.0013717; f = 83.2161176
lambda = 0.00045725; f = 83.2161176
lambda = 0.00015242; f = 83.2161176
lambda = 5.0805e-05; f = 83.2161176
lambda = 1.6935e-05; f = 83.2161176
lambda = 5.645e-06; f = 83.2161176
lambda = 1.8817e-06; f = 83.2161176
lambda = 6.2723e-07; f = 83.2161176
lambda = 2.0908e-07; f = 83.2161176
lambda = 6.9692e-08; f = 83.2161176
lambda = 2.3231e-08; f = 83.2161176
lambda = 7.7435e-09; f = 83.2161176
lambda = 2.5812e-09; f = 83.2161176
Norm of dx 4.9954e-07
Done for param betta = 0.9900; f = 83.2161
Predicted improvement: 0.005556305
lambda = 1; f = 83.2105802
Norm of dx 7.3746e-05
Done for param rhho_A = 0.9564; f = 83.2106
Predicted improvement: 0.000012754
lambda = 1; f = 83.2105679
Norm of dx 0.00079981
Done for param rhho_G = 0.8608; f = 83.2106
Sequence of univariate steps!!
Actual dxnorm 0.00080865
FVAL 83.2106
Improvement 0.012768
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 2.100183e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.45734 s.
Iteration 30
Correct for low angle: 0.0001111
Predicted improvement: 373023208.230770409
lambda = 1; f = 20228225790.5724144
lambda = 0.33333; f = 2247580324.7569470
lambda = 0.11111; f = 249731090.2918760
lambda = 0.037037; f = 27747929.2635285
lambda = 0.012346; f = 3083162.6755618
lambda = 0.0041152; f = 342642.7486266
lambda = 0.0013717; f = 38143.7658393
lambda = 0.00045725; f = 4311.6226351
lambda = 0.00015242; f = 552.8546476
lambda = 5.0805e-05; f = 135.3334385
lambda = 1.6935e-05; f = 88.9820859
lambda = 5.645e-06; f = 83.8452332
lambda = 1.8817e-06; f = 83.2789043
lambda = 6.2723e-07; f = 83.2174564
lambda = 2.0908e-07; f = 83.2111213
lambda = 6.9692e-08; f = 83.2105816
lambda = 2.3231e-08; f = 83.2105706
lambda = 7.7435e-09; f = 83.2105682
lambda = 2.5812e-09; f = 83.2105680
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 1097.2120743
lambda = -2.0908e-07; f = 195.8183915
lambda = -6.9692e-08; f = 95.7028885
lambda = -2.3231e-08; f = 84.5920606
lambda = -7.7435e-09; f = 83.3618964
lambda = -2.5812e-09; f = 83.2266689
Norm of dx 6.1906e+07
Predicted improvement: 0.005972132
lambda = 1; f = 83.2045911
Norm of dx 5.0932e-06
Done for param eA = 0.0062; f = 83.2046
Predicted improvement: 0.000168150
lambda = 1; f = 83.2044229
Norm of dx 8.6719e-05
Done for param eG = 0.0041; f = 83.2044
Predicted improvement: 0.000766831
lambda = 1; f = 83.2044247
lambda = 0.33333; f = 83.2044235
lambda = 0.11111; f = 83.2044231
lambda = 0.037037; f = 83.2044230
lambda = 0.012346; f = 83.2044229
lambda = 0.0041152; f = 83.2044229
lambda = 0.0013717; f = 83.2044229
lambda = 0.00045725; f = 83.2044229
lambda = 0.00015242; f = 83.2044229
lambda = 5.0805e-05; f = 83.2044229
lambda = 1.6935e-05; f = 83.2044229
lambda = 5.645e-06; f = 83.2044229
lambda = 1.8817e-06; f = 83.2044229
lambda = 6.2723e-07; f = 83.2044229
lambda = 2.0908e-07; f = 83.2044229
lambda = 6.9692e-08; f = 83.2044229
lambda = 2.3231e-08; f = 83.2044229
lambda = 7.7435e-09; f = 83.2044229
lambda = 2.5812e-09; f = 83.2044229
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 83.2044229
Norm of dx 4.9944e-07
Done for param betta = 0.9900; f = 83.2044
Predicted improvement: 0.004729349
lambda = 1; f = 83.1997084
Norm of dx 6.7896e-05
Done for param rhho_A = 0.9565; f = 83.1997
Sequence of univariate steps!!
Actual dxnorm 0.00011025
FVAL 83.1997
Improvement 0.010859
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 2.147587e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.45218 s.
Iteration 31
Correct for low angle: 0.000525223
Predicted improvement: 1477400223.633490324
lambda = 1; f = 374911839712.7562866
lambda = 0.33333; f = 41656869464.3234100
lambda = 0.11111; f = 4628540562.6044636
lambda = 0.037037; f = 514282171.0417084
lambda = 0.012346; f = 57142474.8552588
lambda = 0.0041152; f = 6349216.9784203
lambda = 0.0013717; f = 705535.5585828
lambda = 0.00045725; f = 78464.4785379
lambda = 0.00015242; f = 8791.4585120
lambda = 5.0805e-05; f = 1050.5266503
lambda = 1.6935e-05; f = 190.5947127
lambda = 5.645e-06; f = 95.1039205
lambda = 1.8817e-06; f = 84.5128994
lambda = 6.2723e-07; f = 83.3424749
lambda = 2.0908e-07; f = 83.2145463
lambda = 6.9692e-08; f = 83.2010382
lambda = 2.3231e-08; f = 83.1997727
lambda = 7.7435e-09; f = 83.1997124
lambda = 2.5812e-09; f = 83.1997089
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 18757.5466604
lambda = -2.0908e-07; f = 2157.8791484
lambda = -6.9692e-08; f = 313.6369897
lambda = -2.3231e-08; f = 108.7763085
lambda = -7.7435e-09; f = 86.0323820
lambda = -2.5812e-09; f = 83.5114029
Norm of dx 2.6613e+08
Correct for low angle: 0.00105658
Predicted improvement: 0.644043624
lambda = 1; f = 83.1997084
lambda = 0.33333; f = 83.1997084
lambda = 0.11111; f = 98.5597440
lambda = 0.037037; f = 84.9810044
lambda = 0.012346; f = 83.3946293
lambda = 0.0041152; f = 83.2182680
lambda = 0.0013717; f = 83.2006467
lambda = 0.00045725; f = 83.1994345
Norm of dx 0.11601
Predicted improvement: 0.003074219
lambda = 1; f = 83.1963586
Norm of dx 3.6534e-06
Done for param eA = 0.0062; f = 83.1964
Predicted improvement: 0.000276388
lambda = 1; f = 83.1960823
Norm of dx 0.00011129
Done for param eG = 0.0040; f = 83.1961
Predicted improvement: 0.000451965
lambda = 1; f = 83.1960840
lambda = 0.33333; f = 83.1960828
lambda = 0.11111; f = 83.1960825
lambda = 0.037037; f = 83.1960823
lambda = 0.012346; f = 83.1960823
lambda = 0.0041152; f = 83.1960823
lambda = 0.0013717; f = 83.1960823
lambda = 0.00045725; f = 83.1960823
lambda = 0.00015242; f = 83.1960823
lambda = 5.0805e-05; f = 83.1960823
lambda = 1.6935e-05; f = 83.1960823
lambda = 5.645e-06; f = 83.1960823
lambda = 1.8817e-06; f = 83.1960823
lambda = 6.2723e-07; f = 83.1960823
lambda = 2.0908e-07; f = 83.1960823
lambda = 6.9692e-08; f = 83.1960823
lambda = 2.3231e-08; f = 83.1960823
lambda = 7.7435e-09; f = 83.1960823
lambda = 2.5812e-09; f = 83.1960823
Norm of dx 4.9904e-07
Done for param betta = 0.9900; f = 83.1961
Predicted improvement: 0.003845925
lambda = 1; f = 83.1922472
Norm of dx 6.1125e-05
Done for param rhho_A = 0.9565; f = 83.1922
Predicted improvement: 0.000023932
lambda = 1; f = 83.1922204
Norm of dx 0.0010467
Done for param rhho_G = 0.8597; f = 83.1922
Sequence of univariate steps!!
Actual dxnorm 0.0010496
FVAL 83.1922
Improvement 0.007488
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 2.527352e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.53132 s.
Iteration 32
Correct for low angle: 0.00220434
Predicted improvement: 4249262505.066982269
lambda = 1; f = 630433271039719808.0000000
lambda = 0.33333; f = 70048141225197608.0000000
lambda = 0.11111; f = 7783126802320481.0000000
lambda = 0.037037; f = 864791866764796.5000000
lambda = 0.012346; f = 96087985142903.9531250
lambda = 0.0041152; f = 10676442775977.1191406
lambda = 0.0013717; f = 1186271413709.3540039
lambda = 0.00045725; f = 131807932958.0077057
lambda = 0.00015242; f = 14645325300.6597919
lambda = 5.0805e-05; f = 1627258221.5180068
lambda = 1.6935e-05; f = 180806469.9493589
lambda = 5.645e-06; f = 20089657.3685445
lambda = 1.8817e-06; f = 2232249.9833176
lambda = 6.2723e-07; f = 248099.0188025
lambda = 2.0908e-07; f = 27639.6043968
lambda = 6.9692e-08; f = 3144.7151985
lambda = 2.3231e-08; f = 423.2612736
lambda = 7.7435e-09; f = 120.9443143
lambda = 2.5812e-09; f = 87.3758111
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 83.3065558
lambda = -2.0908e-07; f = 83.2007124
lambda = -6.9692e-08; f = 83.1930591
lambda = -2.3231e-08; f = 83.1923102
lambda = -7.7435e-09; f = 83.1922303
lambda = -2.5812e-09; f = 83.1922215
Norm of dx 8.283e+08
Predicted improvement: 0.004448092
lambda = 1; f = 83.1877693
Norm of dx 4.391e-06
Done for param eA = 0.0062; f = 83.1878
Predicted improvement: 0.000142222
lambda = 1; f = 83.1876271
Norm of dx 7.9999e-05
Done for param eG = 0.0039; f = 83.1876
Predicted improvement: 0.000572785
lambda = 1; f = 83.1876290
lambda = 0.33333; f = 83.1876277
lambda = 0.11111; f = 83.1876273
lambda = 0.037037; f = 83.1876272
lambda = 0.012346; f = 83.1876272
lambda = 0.0041152; f = 83.1876271
lambda = 0.0013717; f = 83.1876271
lambda = 0.00045725; f = 83.1876271
lambda = 0.00015242; f = 83.1876271
lambda = 5.0805e-05; f = 83.1876271
lambda = 1.6935e-05; f = 83.1876271
lambda = 5.645e-06; f = 83.1876271
lambda = 1.8817e-06; f = 83.1876271
lambda = 6.2723e-07; f = 83.1876271
lambda = 2.0908e-07; f = 83.1876271
lambda = 6.9692e-08; f = 83.1876271
lambda = 2.3231e-08; f = 83.1876271
lambda = 7.7435e-09; f = 83.1876271
lambda = 2.5812e-09; f = 83.1876271
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 83.1876271
Norm of dx 4.992e-07
Done for param betta = 0.9900; f = 83.1876
Predicted improvement: 0.003506851
lambda = 1; f = 83.1841298
Norm of dx 5.8273e-05
Done for param rhho_A = 0.9566; f = 83.1841
Predicted improvement: 0.000011320
lambda = 1; f = 83.1841191
Norm of dx 0.00081341
Done for param rhho_G = 0.8589; f = 83.1841
Sequence of univariate steps!!
Actual dxnorm 0.00081942
FVAL 83.1841
Improvement 0.0081013
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 2.372148e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.46765 s.
Iteration 33
Correct for low angle: 0.00134592
Predicted improvement: 2474287398.280312061
lambda = 1; f = 1401205026145.7849121
lambda = 0.33333; f = 155689444162.8444824
lambda = 0.11111; f = 17298826116.2701912
lambda = 0.037037; f = 1922091502.3460884
lambda = 0.012346; f = 213565675.6603477
lambda = 0.0041152; f = 23729553.2046150
lambda = 0.0013717; f = 2636677.5459834
lambda = 0.00045725; f = 293033.6405076
lambda = 0.00015242; f = 32631.7439492
lambda = 5.0805e-05; f = 3699.1938298
lambda = 1.6935e-05; f = 484.7973529
lambda = 5.645e-06; f = 127.7526269
lambda = 1.8817e-06; f = 88.1178033
lambda = 6.2723e-07; f = 83.7262049
lambda = 2.0908e-07; f = 83.2423399
lambda = 6.9692e-08; f = 83.1899405
lambda = 2.3231e-08; f = 83.1845728
lambda = 7.7435e-09; f = 83.1841279
lambda = 2.5812e-09; f = 83.1841199
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 76087.1212213
lambda = -2.0908e-07; f = 8527.5827795
lambda = -6.9692e-08; f = 1021.2895662
lambda = -2.3231e-08; f = 187.3643766
lambda = -7.7435e-09; f = 94.7418188
lambda = -2.5812e-09; f = 84.4623557
Norm of dx 5.173e+08
Predicted improvement: 0.003828072
lambda = 1; f = 83.1802887
Norm of dx 4.0713e-06
Done for param eA = 0.0062; f = 83.1803
Predicted improvement: 0.000111280
lambda = 1; f = 83.1801774
Norm of dx 7.0873e-05
Done for param eG = 0.0039; f = 83.1802
Predicted improvement: 0.000491296
lambda = 1; f = 83.1801793
lambda = 0.33333; f = 83.1801780
lambda = 0.11111; f = 83.1801776
lambda = 0.037037; f = 83.1801775
lambda = 0.012346; f = 83.1801774
lambda = 0.0041152; f = 83.1801774
lambda = 0.0013717; f = 83.1801774
lambda = 0.00045725; f = 83.1801774
lambda = 0.00015242; f = 83.1801774
lambda = 5.0805e-05; f = 83.1801774
lambda = 1.6935e-05; f = 83.1801774
lambda = 5.645e-06; f = 83.1801774
lambda = 1.8817e-06; f = 83.1801774
lambda = 6.2723e-07; f = 83.1801774
lambda = 2.0908e-07; f = 83.1801774
lambda = 6.9692e-08; f = 83.1801774
lambda = 2.3231e-08; f = 83.1801774
lambda = 7.7435e-09; f = 83.1801774
lambda = 2.5812e-09; f = 83.1801774
Norm of dx 4.9904e-07
Done for param betta = 0.9900; f = 83.1802
Predicted improvement: 0.003025162
lambda = 1; f = 83.1771598
Norm of dx 5.4035e-05
Done for param rhho_A = 0.9566; f = 83.1772
Sequence of univariate steps!!
Actual dxnorm 8.9215e-05
FVAL 83.1772
Improvement 0.0069593
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 2.292649e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.44309 s.
Iteration 34
Correct for low angle: 0.000627328
Predicted improvement: 1012627798.139865875
lambda = 1; f = 258227723212.3078918
lambda = 0.33333; f = 28691967920.9120750
lambda = 0.11111; f = 3187996043.3137851
lambda = 0.037037; f = 354221701.0995750
lambda = 0.012346; f = 39357988.9154179
lambda = 0.0041152; f = 4373166.5452078
lambda = 0.0013717; f = 485975.5726758
lambda = 0.00045725; f = 54069.3022990
lambda = 0.00015242; f = 6080.9959290
lambda = 5.0805e-05; f = 749.3882970
lambda = 1.6935e-05; f = 157.1295854
lambda = 5.645e-06; f = 91.3704407
lambda = 1.8817e-06; f = 84.0796620
lambda = 6.2723e-07; f = 83.2748398
lambda = 2.0908e-07; f = 83.1871699
lambda = 6.9692e-08; f = 83.1780137
lambda = 2.3231e-08; f = 83.1771913
lambda = 7.7435e-09; f = 83.1771615
lambda = 2.5812e-09; f = 83.1771600
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 15069.5072012
lambda = -2.0908e-07; f = 1748.1142203
lambda = -6.9692e-08; f = 268.0999348
lambda = -2.3231e-08; f = 103.7007331
lambda = -7.7435e-09; f = 85.4497652
lambda = -2.5812e-09; f = 83.4270832
Norm of dx 2.2908e+08
Correct for low angle: 0.000986169
Predicted improvement: 0.660457890
lambda = 1; f = 83.1771598
lambda = 0.33333; f = 83.1771598
lambda = 0.11111; f = 108.5694592
lambda = 0.037037; f = 86.1334214
lambda = 0.012346; f = 83.5101329
lambda = 0.0041152; f = 83.2112873
lambda = 0.0013717; f = 83.1797971
lambda = 0.00045725; f = 83.1770602
lambda = 0.00015242; f = 83.1770176
lambda = 0.00029465; f = 83.1769832
Norm of dx 0.14941
Predicted improvement: 0.001929348
lambda = 1; f = 83.1750531
Norm of dx 2.8898e-06
Done for param eA = 0.0062; f = 83.1751
Predicted improvement: 0.000182005
lambda = 1; f = 83.1748711
Norm of dx 9.0704e-05
Done for param eG = 0.0038; f = 83.1749
Predicted improvement: 0.000284664
lambda = 1; f = 83.1748730
lambda = 0.33333; f = 83.1748717
lambda = 0.11111; f = 83.1748713
lambda = 0.037037; f = 83.1748712
lambda = 0.012346; f = 83.1748711
lambda = 0.0041152; f = 83.1748711
lambda = 0.0013717; f = 83.1748711
lambda = 0.00045725; f = 83.1748711
lambda = 0.00015242; f = 83.1748711
lambda = 5.0805e-05; f = 83.1748711
lambda = 1.6935e-05; f = 83.1748711
lambda = 5.645e-06; f = 83.1748711
lambda = 1.8817e-06; f = 83.1748711
lambda = 6.2723e-07; f = 83.1748711
lambda = 2.0908e-07; f = 83.1748711
lambda = 6.9692e-08; f = 83.1748711
lambda = 2.3231e-08; f = 83.1748711
lambda = 7.7435e-09; f = 83.1748711
lambda = 2.5812e-09; f = 83.1748711
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 83.1748711
Norm of dx 4.9834e-07
Done for param betta = 0.9900; f = 83.1749
Predicted improvement: 0.002463601
lambda = 1; f = 83.1724131
Norm of dx 4.8697e-05
Done for param rhho_A = 0.9567; f = 83.1724
Predicted improvement: 0.000017650
lambda = 1; f = 83.1723963
Norm of dx 0.0010456
Done for param rhho_G = 0.8579; f = 83.1724
Sequence of univariate steps!!
Actual dxnorm 0.0010475
FVAL 83.1724
Improvement 0.0047635
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 2.118291e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.5638 s.
Iteration 35
Correct for low angle: 0.00193481
Predicted improvement: 2763489184.490558147
lambda = 1; f = 352960811240101184.0000000
lambda = 0.33333; f = 39217867914542584.0000000
lambda = 0.11111; f = 4357540879052271.5000000
lambda = 0.037037; f = 484171208669851.5000000
lambda = 0.012346; f = 53796800925454.7031250
lambda = 0.0041152; f = 5977422312479.1015625
lambda = 0.0013717; f = 664158030578.7145996
lambda = 0.00045725; f = 73795335399.8604431
lambda = 0.00015242; f = 8199481316.6803570
lambda = 5.0805e-05; f = 911053397.4467791
lambda = 1.6935e-05; f = 101228177.1644512
lambda = 5.645e-06; f = 11247631.8254009
lambda = 1.8817e-06; f = 1249805.0185018
lambda = 6.2723e-07; f = 138939.2279929
lambda = 2.0908e-07; f = 15510.9806149
lambda = 6.9692e-08; f = 1797.1592064
lambda = 2.3231e-08; f = 273.5440389
lambda = 7.7435e-09; f = 104.3010537
lambda = 2.5812e-09; f = 85.5121405
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 83.2273069
lambda = -2.0908e-07; f = 83.1769731
lambda = -6.9692e-08; f = 83.1728625
lambda = -2.3231e-08; f = 83.1724467
lambda = -7.7435e-09; f = 83.1724019
lambda = -2.5812e-09; f = 83.1723969
Norm of dx 6.7273e+08
Predicted improvement: 0.002871757
lambda = 1; f = 83.1695231
Norm of dx 3.5233e-06
Done for param eA = 0.0062; f = 83.1695
Predicted improvement: 0.000092780
lambda = 1; f = 83.1694303
Norm of dx 6.4866e-05
Done for param eG = 0.0038; f = 83.1694
Predicted improvement: 0.000369270
lambda = 1; f = 83.1694323
lambda = 0.33333; f = 83.1694310
lambda = 0.11111; f = 83.1694305
lambda = 0.037037; f = 83.1694304
lambda = 0.012346; f = 83.1694303
lambda = 0.0041152; f = 83.1694303
lambda = 0.0013717; f = 83.1694303
lambda = 0.00045725; f = 83.1694303
lambda = 0.00015242; f = 83.1694303
lambda = 5.0805e-05; f = 83.1694303
lambda = 1.6935e-05; f = 83.1694303
lambda = 5.645e-06; f = 83.1694303
lambda = 1.8817e-06; f = 83.1694303
lambda = 6.2723e-07; f = 83.1694303
lambda = 2.0908e-07; f = 83.1694303
lambda = 6.9692e-08; f = 83.1694303
lambda = 2.3231e-08; f = 83.1694303
lambda = 7.7435e-09; f = 83.1694303
lambda = 2.5812e-09; f = 83.1694303
Norm of dx 4.9867e-07
Done for param betta = 0.9900; f = 83.1694
Predicted improvement: 0.002261214
lambda = 1; f = 83.1671740
Norm of dx 4.6593e-05
Done for param rhho_A = 0.9567; f = 83.1672
Sequence of univariate steps!!
Actual dxnorm 7.9943e-05
FVAL 83.1672
Improvement 0.0052223
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 2.516972e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.43802 s.
Iteration 36
Correct for low angle: 0.00154725
Predicted improvement: 1678795838.256526709
lambda = 1; f = 923121495399.8962402
lambda = 0.33333; f = 102569052476.3218994
lambda = 0.11111; f = 11396560579.5052586
lambda = 0.037037; f = 1266284289.2006149
lambda = 0.012346; f = 140698230.4287968
lambda = 0.0041152; f = 15633178.0229757
lambda = 0.0013717; f = 1737082.8341595
lambda = 0.00045725; f = 193079.5060124
lambda = 0.00015242; f = 21525.9967921
lambda = 5.0805e-05; f = 2465.3011440
lambda = 1.6935e-05; f = 347.7145308
lambda = 5.645e-06; f = 112.5166156
lambda = 1.8817e-06; f = 86.4133427
lambda = 6.2723e-07; f = 83.5229220
lambda = 2.0908e-07; f = 83.2050784
lambda = 6.9692e-08; f = 83.1708672
lambda = 2.3231e-08; f = 83.1674343
lambda = 7.7435e-09; f = 83.1671756
lambda = 2.5812e-09; f = 83.1671743
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 58049.4972873
lambda = -2.0908e-07; f = 6523.4681270
lambda = -6.9692e-08; f = 798.6220462
lambda = -2.3231e-08; f = 162.6174606
lambda = -7.7435e-09; f = 91.9800923
lambda = -2.5812e-09; f = 84.1414317
Norm of dx 4.3815e+08
Correct for low angle: 0.0018514
Predicted improvement: 1.761394062
lambda = 1; f = 83.1671740
lambda = 0.33333; f = 83.1671740
lambda = 0.11111; f = 83.1671740
lambda = 0.037037; f = 106.7134331
lambda = 0.012346; f = 85.8403730
lambda = 0.0041152; f = 83.4672635
lambda = 0.0013717; f = 83.1979204
lambda = 0.00045725; f = 83.1695525
lambda = 0.00015242; f = 83.1670855
lambda = 5.0805e-05; f = 83.1670463
lambda = 9.8216e-05; f = 83.1670157
Norm of dx 0.45971
Predicted improvement: 0.001388376
lambda = 1; f = 83.1656269
Norm of dx 2.4495e-06
Done for param eA = 0.0062; f = 83.1656
Predicted improvement: 0.000157994
lambda = 1; f = 83.1654690
Norm of dx 8.4688e-05
Done for param eG = 0.0037; f = 83.1655
Predicted improvement: 0.000211642
lambda = 1; f = 83.1654710
lambda = 0.33333; f = 83.1654696
lambda = 0.11111; f = 83.1654692
lambda = 0.037037; f = 83.1654691
lambda = 0.012346; f = 83.1654690
lambda = 0.0041152; f = 83.1654690
lambda = 0.0013717; f = 83.1654690
lambda = 0.00045725; f = 83.1654690
lambda = 0.00015242; f = 83.1654690
lambda = 5.0805e-05; f = 83.1654690
lambda = 1.6935e-05; f = 83.1654690
lambda = 5.645e-06; f = 83.1654690
lambda = 1.8817e-06; f = 83.1654690
lambda = 6.2723e-07; f = 83.1654690
lambda = 2.0908e-07; f = 83.1654690
lambda = 6.9692e-08; f = 83.1654690
lambda = 2.3231e-08; f = 83.1654690
lambda = 7.7435e-09; f = 83.1654690
lambda = 2.5812e-09; f = 83.1654690
Norm of dx 4.9768e-07
Done for param betta = 0.9900; f = 83.1655
Predicted improvement: 0.001826332
lambda = 1; f = 83.1636462
Norm of dx 4.1826e-05
Done for param rhho_A = 0.9568; f = 83.1636
Predicted improvement: 0.000010773
lambda = 1; f = 83.1636342
Norm of dx 0.00077657
Done for param rhho_G = 0.8571; f = 83.1636
Sequence of univariate steps!!
Actual dxnorm 0.00077835
FVAL 83.1636
Improvement 0.0035398
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 5.680451e-19.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.5261 s.
Iteration 37
Correct for low angle: 0.00116601
Predicted improvement: 4477352715.058863640
lambda = 1; f = 340489624638011648.0000000
lambda = 0.33333; f = 37832180514349096.0000000
lambda = 0.11111; f = 4203575612376996.5000000
lambda = 0.037037; f = 467063956821340.5000000
lambda = 0.012346; f = 51895995165941.4453125
lambda = 0.0041152; f = 5766221673010.6425781
lambda = 0.0013717; f = 640691293019.1442871
lambda = 0.00045725; f = 71187920168.5077667
lambda = 0.00015242; f = 7909768530.8728924
lambda = 5.0805e-05; f = 878863093.7994764
lambda = 1.6935e-05; f = 97651478.7162891
lambda = 5.645e-06; f = 10850221.5338879
lambda = 1.8817e-06; f = 1205648.5299758
lambda = 6.2723e-07; f = 134033.0164742
lambda = 2.0908e-07; f = 14965.8624702
lambda = 6.9692e-08; f = 1736.5908203
lambda = 2.3231e-08; f = 266.8091243
lambda = 7.7435e-09; f = 103.5458390
lambda = 2.5812e-09; f = 85.4207379
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 340.2042232
lambda = -2.0908e-07; f = 83.3765705
lambda = -6.9692e-08; f = 83.1775375
lambda = -2.3231e-08; f = 83.1649643
lambda = -7.7435e-09; f = 83.1637752
lambda = -2.5812e-09; f = 83.1636497
Norm of dx 1.1978e+09
Predicted improvement: 0.002178705
lambda = 1; f = 83.1614546
Norm of dx 3.0667e-06
Done for param eA = 0.0062; f = 83.1615
Predicted improvement: 0.000074107
lambda = 1; f = 83.1613805
Norm of dx 5.8066e-05
Done for param eG = 0.0037; f = 83.1614
Predicted improvement: 0.000280182
lambda = 1; f = 83.1613825
lambda = 0.33333; f = 83.1613812
lambda = 0.11111; f = 83.1613807
lambda = 0.037037; f = 83.1613806
lambda = 0.012346; f = 83.1613805
lambda = 0.0041152; f = 83.1613805
lambda = 0.0013717; f = 83.1613805
lambda = 0.00045725; f = 83.1613805
lambda = 0.00015242; f = 83.1613805
lambda = 5.0805e-05; f = 83.1613805
lambda = 1.6935e-05; f = 83.1613805
lambda = 5.645e-06; f = 83.1613805
lambda = 1.8817e-06; f = 83.1613805
lambda = 6.2723e-07; f = 83.1613805
lambda = 2.0908e-07; f = 83.1613805
lambda = 6.9692e-08; f = 83.1613805
lambda = 2.3231e-08; f = 83.1613805
lambda = 7.7435e-09; f = 83.1613805
lambda = 2.5812e-09; f = 83.1613805
Norm of dx 4.9818e-07
Done for param betta = 0.9900; f = 83.1614
Predicted improvement: 0.001703822
lambda = 1; f = 83.1596799
Norm of dx 4.0354e-05
Done for param rhho_A = 0.9568; f = 83.1597
Sequence of univariate steps!!
Actual dxnorm 7.0778e-05
FVAL 83.1597
Improvement 0.0039544
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 7.159601e-19.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.45239 s.
Iteration 38
Correct for low angle: 0.000706149
Predicted improvement: 2343027355.258273125
lambda = 1; f = 4799522799979.0380859
lambda = 0.33333; f = 533280305163.8270264
lambda = 0.11111; f = 59253365308.0533829
lambda = 0.037037; f = 6583706661.6062670
lambda = 0.012346; f = 731522813.3991587
lambda = 0.0041152; f = 81280312.2125603
lambda = 0.0013717; f = 9031194.9521131
lambda = 0.00045725; f = 1003531.7691958
lambda = 0.00015242; f = 111574.6975454
lambda = 5.0805e-05; f = 12470.1909940
lambda = 1.6935e-05; f = 1459.1907360
lambda = 5.645e-06; f = 235.9501232
lambda = 1.8817e-06; f = 100.1024530
lambda = 6.2723e-07; f = 85.0309186
lambda = 2.0908e-07; f = 83.3638540
lambda = 6.9692e-08; f = 83.1811414
lambda = 2.3231e-08; f = 83.1616790
lambda = 7.7435e-09; f = 83.1597961
lambda = 2.5812e-09; f = 83.1596868
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 36086.9666275
lambda = -2.0908e-07; f = 4083.2738412
lambda = -6.9692e-08; f = 527.5138726
lambda = -2.3231e-08; f = 132.4980638
lambda = -7.7435e-09; f = 88.6302957
lambda = -2.5812e-09; f = 83.7637251
Norm of dx 6.6016e+08
Correct for low angle: 0.00281857
Predicted improvement: 0.108712135
lambda = 1; f = 83.1596799
lambda = 0.33333; f = 90.3486927
lambda = 0.11111; f = 83.9763727
lambda = 0.037037; f = 83.2477663
lambda = 0.012346; f = 83.1678815
lambda = 0.0041152; f = 83.1600319
lambda = 0.0013717; f = 83.1595314
Norm of dx 0.03063
Predicted improvement: 0.001080249
lambda = 1; f = 83.1584508
Norm of dx 2.1591e-06
Done for param eA = 0.0062; f = 83.1585
Predicted improvement: 0.000130406
lambda = 1; f = 83.1583205
Norm of dx 7.7069e-05
Done for param eG = 0.0036; f = 83.1583
Predicted improvement: 0.000168383
lambda = 1; f = 83.1583225
lambda = 0.33333; f = 83.1583212
lambda = 0.11111; f = 83.1583207
lambda = 0.037037; f = 83.1583206
lambda = 0.012346; f = 83.1583205
lambda = 0.0041152; f = 83.1583205
lambda = 0.0013717; f = 83.1583205
lambda = 0.00045725; f = 83.1583205
lambda = 0.00015242; f = 83.1583205
lambda = 5.0805e-05; f = 83.1583205
lambda = 1.6935e-05; f = 83.1583205
lambda = 5.645e-06; f = 83.1583205
lambda = 1.8817e-06; f = 83.1583205
lambda = 6.2723e-07; f = 83.1583205
lambda = 2.0908e-07; f = 83.1583205
lambda = 6.9692e-08; f = 83.1583205
lambda = 2.3231e-08; f = 83.1583205
lambda = 7.7435e-09; f = 83.1583205
lambda = 2.5812e-09; f = 83.1583205
Norm of dx 4.9698e-07
Done for param betta = 0.9900; f = 83.1583
Predicted improvement: 0.001361341
lambda = 1; f = 83.1569614
Norm of dx 3.6034e-05
Done for param rhho_A = 0.9568; f = 83.1570
Predicted improvement: 0.000012770
lambda = 1; f = 83.1569485
Norm of dx 0.00091813
Done for param rhho_G = 0.8562; f = 83.1569
Sequence of univariate steps!!
Actual dxnorm 0.0009193
FVAL 83.1569
Improvement 0.0027313
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 2.514840e-19.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.53116 s.
Iteration 39
Correct for low angle: 0.000492531
Predicted improvement: 3529673477.335696220
lambda = 1; f = 107163855664008800.0000000
lambda = 0.33333; f = 11907095073234008.0000000
lambda = 0.11111; f = 1323010563511135.5000000
lambda = 0.037037; f = 147001173662997.8750000
lambda = 0.012346; f = 16333463720228.5117188
lambda = 0.0041152; f = 1814829295595.3623047
lambda = 0.0013717; f = 201647697342.4575195
lambda = 0.00045725; f = 22405299031.2829323
lambda = 0.00015242; f = 2489477494.9425807
lambda = 5.0805e-05; f = 276608601.4274085
lambda = 1.6935e-05; f = 30734335.2851229
lambda = 5.645e-06; f = 3414990.8335579
lambda = 1.8817e-06; f = 379514.2677619
lambda = 6.2723e-07; f = 42241.1441327
lambda = 2.0908e-07; f = 4767.0360677
lambda = 6.9692e-08; f = 603.4740992
lambda = 2.3231e-08; f = 140.9320415
lambda = 7.7435e-09; f = 89.5637925
lambda = 2.5812e-09; f = 83.8646469
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 168.0864768
lambda = -2.0908e-07; f = 83.3450855
lambda = -6.9692e-08; f = 83.1695843
lambda = -2.3231e-08; f = 83.1581656
lambda = -7.7435e-09; f = 83.1570778
lambda = -2.5812e-09; f = 83.1569627
Norm of dx 1.0958e+09
Predicted improvement: 0.001650447
lambda = 1; f = 83.1552975
Norm of dx 2.6674e-06
Done for param eA = 0.0062; f = 83.1553
Predicted improvement: 0.000056840
lambda = 1; f = 83.1552407
Norm of dx 5.0934e-05
Done for param eG = 0.0036; f = 83.1552
Predicted improvement: 0.000211898
lambda = 1; f = 83.1552428
lambda = 0.33333; f = 83.1552414
lambda = 0.11111; f = 83.1552409
lambda = 0.037037; f = 83.1552407
lambda = 0.012346; f = 83.1552407
lambda = 0.0041152; f = 83.1552407
lambda = 0.0013717; f = 83.1552407
lambda = 0.00045725; f = 83.1552407
lambda = 0.00015242; f = 83.1552407
lambda = 5.0805e-05; f = 83.1552407
lambda = 1.6935e-05; f = 83.1552407
lambda = 5.645e-06; f = 83.1552407
lambda = 1.8817e-06; f = 83.1552407
lambda = 6.2723e-07; f = 83.1552407
lambda = 2.0908e-07; f = 83.1552407
lambda = 6.9692e-08; f = 83.1552407
lambda = 2.3231e-08; f = 83.1552407
lambda = 7.7435e-09; f = 83.1552407
lambda = 2.5812e-09; f = 83.1552407
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 83.1552407
Norm of dx 4.9752e-07
Done for param betta = 0.9900; f = 83.1552
Predicted improvement: 0.001292003
lambda = 1; f = 83.1539508
Norm of dx 3.5071e-05
Done for param rhho_A = 0.9569; f = 83.1540
Sequence of univariate steps!!
Actual dxnorm 6.1898e-05
FVAL 83.154
Improvement 0.0029978
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 2.802550e-19.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.4541 s.
Iteration 40
Correct for low angle: 0.000451991
Predicted improvement: 2855626546.226994038
lambda = 1; f = 13417218660442.8222656
lambda = 0.33333; f = 1490802063400.9746094
lambda = 0.11111; f = 165644670433.3089294
lambda = 0.037037; f = 18404962338.1183586
lambda = 0.012346; f = 2044995516.8361216
lambda = 0.0041152; f = 227221673.8658859
lambda = 0.0013717; f = 25246885.1858642
lambda = 0.00045725; f = 2805269.5862336
lambda = 0.00015242; f = 311765.9375097
lambda = 5.0805e-05; f = 34713.0417669
lambda = 1.6935e-05; f = 3930.4084265
lambda = 5.645e-06; f = 510.4564138
lambda = 1.8817e-06; f = 130.5752727
lambda = 6.2723e-07; f = 88.4040993
lambda = 2.0908e-07; f = 83.7310275
lambda = 6.9692e-08; f = 83.2160020
lambda = 2.3231e-08; f = 83.1601785
lambda = 7.7435e-09; f = 83.1544430
lambda = 2.5812e-09; f = 83.1539615
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 27460.5172266
lambda = -2.0908e-07; f = 3124.8202581
lambda = -6.9692e-08; f = 421.0292329
lambda = -2.3231e-08; f = 120.6664427
lambda = -7.7435e-09; f = 87.3122776
lambda = -2.5812e-09; f = 83.6127521
Norm of dx 9.3815e+08
Predicted improvement: 0.028445959
lambda = 1; f = 83.1539508
lambda = 0.33333; f = 83.1539508
lambda = 0.11111; f = 83.2058169
lambda = 0.037037; f = 83.1583530
lambda = 0.012346; f = 83.1539712
lambda = 0.0041152; f = 83.1537962
Norm of dx 0.0088746
Predicted improvement: 0.000892075
lambda = 1; f = 83.1529039
Norm of dx 1.9608e-06
Done for param eA = 0.0062; f = 83.1529
Predicted improvement: 0.000103730
lambda = 1; f = 83.1528002
Norm of dx 6.884e-05
Done for param eG = 0.0035; f = 83.1528
Predicted improvement: 0.000142230
lambda = 1; f = 83.1528023
lambda = 0.33333; f = 83.1528009
lambda = 0.11111; f = 83.1528005
lambda = 0.037037; f = 83.1528003
lambda = 0.012346; f = 83.1528003
lambda = 0.0041152; f = 83.1528002
lambda = 0.0013717; f = 83.1528002
lambda = 0.00045725; f = 83.1528002
lambda = 0.00015242; f = 83.1528002
lambda = 5.0805e-05; f = 83.1528002
lambda = 1.6935e-05; f = 83.1528002
lambda = 5.645e-06; f = 83.1528002
lambda = 1.8817e-06; f = 83.1528002
lambda = 6.2723e-07; f = 83.1528002
lambda = 2.0908e-07; f = 83.1528002
lambda = 6.9692e-08; f = 83.1528002
lambda = 2.3231e-08; f = 83.1528002
lambda = 7.7435e-09; f = 83.1528002
lambda = 2.5812e-09; f = 83.1528002
Norm of dx 4.9632e-07
Done for param betta = 0.9900; f = 83.1528
Predicted improvement: 0.001017043
lambda = 1; f = 83.1517847
Norm of dx 3.1087e-05
Done for param rhho_A = 0.9569; f = 83.1518
Sequence of univariate steps!!
Actual dxnorm 4.2381e-05
FVAL 83.1518
Improvement 0.0021661
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 2.536315e-19.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.49374 s.
Iteration 41
Correct for low angle: 0.000782698
Predicted improvement: 4190531922.592884064
lambda = 1; f = 203986846966328992.0000000
lambda = 0.33333; f = 22665205217746108.0000000
lambda = 0.11111; f = 2518356135060209.5000000
lambda = 0.037037; f = 279817348258434.9687500
lambda = 0.012346; f = 31090816446012.5859375
lambda = 0.0041152; f = 3454535151668.3891602
lambda = 0.0013717; f = 383837236123.6488037
lambda = 0.00045725; f = 42648580857.2528534
lambda = 0.00015242; f = 4738730944.2153559
lambda = 5.0805e-05; f = 526525622.3615102
lambda = 1.6935e-05; f = 58502883.5019308
lambda = 5.645e-06; f = 6500381.8552231
lambda = 1.8817e-06; f = 722334.4144486
lambda = 6.2723e-07; f = 80331.9091676
lambda = 2.0908e-07; f = 8999.2194418
lambda = 6.9692e-08; f = 1073.6723518
lambda = 2.3231e-08; f = 193.1584498
lambda = 7.7435e-09; f = 95.3577189
lambda = 2.5812e-09; f = 84.5023534
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 346.9954967
lambda = -2.0908e-07; f = 83.4620524
lambda = -6.9692e-08; f = 83.1702173
lambda = -2.3231e-08; f = 83.1535101
lambda = -7.7435e-09; f = 83.1519664
lambda = -2.5812e-09; f = 83.1518045
Norm of dx 1.5062e+09
Correct for low angle: 0.00430117
Predicted improvement: 0.035360669
lambda = 1; f = 83.1518636
lambda = 0.33333; f = 83.1517850
lambda = 0.11111; f = 83.2162453
lambda = 0.037037; f = 83.1571057
lambda = 0.012346; f = 83.1517967
lambda = 0.0041152; f = 83.1515941
Norm of dx 0.01271
Predicted improvement: 0.001871469
lambda = 1; f = 83.1497219
Norm of dx 2.8381e-06
Done for param eA = 0.0062; f = 83.1497
Predicted improvement: 0.000256164
lambda = 1; f = 83.1497241
lambda = 0.33333; f = 83.1497226
lambda = 0.11111; f = 83.1497221
lambda = 0.037037; f = 83.1497219
lambda = 0.012346; f = 83.1497219
lambda = 0.0041152; f = 83.1497219
lambda = 0.0013717; f = 83.1497219
lambda = 0.00045725; f = 83.1497219
lambda = 0.00015242; f = 83.1497219
lambda = 5.0805e-05; f = 83.1497219
lambda = 1.6935e-05; f = 83.1497219
lambda = 5.645e-06; f = 83.1497219
lambda = 1.8817e-06; f = 83.1497219
lambda = 6.2723e-07; f = 83.1497219
lambda = 2.0908e-07; f = 83.1497219
lambda = 6.9692e-08; f = 83.1497219
lambda = 2.3231e-08; f = 83.1497219
lambda = 7.7435e-09; f = 83.1497219
lambda = 2.5812e-09; f = 83.1497219
Norm of dx 4.9782e-07
Done for param betta = 0.9900; f = 83.1497
Predicted improvement: 0.001096033
lambda = 1; f = 83.1486275
Norm of dx 3.2241e-05
Done for param rhho_A = 0.9569; f = 83.1486
Predicted improvement: 0.000024185
lambda = 1; f = 83.1486031
Norm of dx 0.0013171
Done for param rhho_G = 0.8548; f = 83.1486
Sequence of univariate steps!!
Actual dxnorm 0.0013188
FVAL 83.1486
Improvement 0.0031815
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 2.814979e-19.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.52982 s.
Iteration 42
Correct for low angle: 0.000758828
Predicted improvement: 3273726782.914597511
lambda = 1; f = 152729152117868576.0000000
lambda = 0.33333; f = 16969905790248840.0000000
lambda = 0.11111; f = 1885545087596995.2500000
lambda = 0.037037; f = 209505009663571.5937500
lambda = 0.012346; f = 23278334383970.1445313
lambda = 0.0041152; f = 2586481590570.3911133
lambda = 0.0013717; f = 287386840896.4790649
lambda = 0.00045725; f = 31931870426.5827904
lambda = 0.00015242; f = 3547985390.8478832
lambda = 5.0805e-05; f = 394220577.5544544
lambda = 1.6935e-05; f = 43802328.5253342
lambda = 5.645e-06; f = 4866988.7084448
lambda = 1.8817e-06; f = 540846.9020170
lambda = 6.2723e-07; f = 60166.8331190
lambda = 2.0908e-07; f = 6758.7212543
lambda = 6.9692e-08; f = 824.7481625
lambda = 2.3231e-08; f = 165.5050056
lambda = 7.7435e-09; f = 92.2848281
lambda = 2.5812e-09; f = 84.1589402
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 96.3878045
lambda = -2.0908e-07; f = 83.8975881
lambda = -6.9692e-08; f = 83.1823163
lambda = -2.3231e-08; f = 83.1515835
lambda = -7.7435e-09; f = 83.1489118
lambda = -2.5812e-09; f = 83.1486367
Norm of dx 1.2551e+09
Correct for low angle: 0.00371544
Predicted improvement: 0.016325172
lambda = 1; f = 83.1855283
lambda = 0.33333; f = 83.1458540
lambda = 0.11111; f = 83.1460065
lambda = 0.2148; f = 83.1450999
Norm of dx 0.0062586
Predicted improvement: 0.000473502
lambda = 1; f = 83.1446264
Norm of dx 1.4278e-06
Done for param eA = 0.0062; f = 83.1446
Predicted improvement: 0.000190759
lambda = 1; f = 83.1444358
Norm of dx 9.3704e-05
Done for param eG = 0.0034; f = 83.1444
Predicted improvement: 0.014459391
lambda = 1; f = 83.1486487
lambda = 0.33333; f = 83.1486082
lambda = 0.11111; f = 83.1486037
lambda = 0.037037; f = 83.1486032
lambda = 0.012346; f = 83.1486031
lambda = 0.0041152; f = 83.1486031
lambda = 0.0013717; f = 83.1486031
lambda = 0.00045725; f = 83.1486031
lambda = 0.00015242; f = 83.1444314
lambda = 0.00029465; f = 83.1486031
lambda = 0.0001984; f = 83.1486031
lambda = 0.00015649; f = 83.1444313
lambda = 0.00018043; f = 83.1486031
lambda = 0.00016566; f = 83.1444310
lambda = 0.00017437; f = 83.1486031
lambda = 0.00016909; f = 83.1486031
lambda = 0.000166; f = 83.1444310
lambda = 0.00016785; f = 83.1486031
Norm of dx 0.0065633
Done for param betta = 0.9900; f = 83.1444
Predicted improvement: 0.000373496
lambda = 1; f = 83.1440579
Norm of dx 1.8769e-05
Done for param rhho_A = 0.9570; f = 83.1441
Sequence of univariate steps!!
Actual dxnorm 0.0013485
FVAL 83.1441
Improvement 0.0045453
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 4.638653e-19.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.37917 s.
Iteration 43
Correct for low angle: 0.000252136
Predicted improvement: 683868199.603419781
lambda = 1; f = 9861087480515528.0000000
lambda = 0.33333; f = 1095676386570257.8750000
lambda = 0.11111; f = 121741820678847.9687500
lambda = 0.037037; f = 13526868947305.4863281
lambda = 0.012346; f = 1502985432968.4511719
lambda = 0.0041152; f = 166998379616.5270996
lambda = 0.0013717; f = 18555374954.0807343
lambda = 0.00045725; f = 2061708191.2128694
lambda = 0.00015242; f = 229078691.5103487
lambda = 5.0805e-05; f = 25453238.4154457
lambda = 1.6935e-05; f = 2828203.6955822
lambda = 5.645e-06; f = 314316.1569355
lambda = 1.8817e-06; f = 34997.0553097
lambda = 6.2723e-07; f = 3962.1782407
lambda = 2.0908e-07; f = 514.0514555
lambda = 6.9692e-08; f = 130.9905535
lambda = 2.3231e-08; f = 88.4496631
lambda = 7.7435e-09; f = 83.7300416
lambda = 2.5812e-09; f = 83.2080138
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 84.4364518
lambda = -2.0908e-07; f = 83.1909333
lambda = -6.9692e-08; f = 83.1480458
lambda = -2.3231e-08; f = 83.1444664
lambda = -7.7435e-09; f = 83.1441021
lambda = -2.5812e-09; f = 83.1440627
Norm of dx 2.8001e+08
Correct for low angle: 0.00427543
Predicted improvement: 0.010788248
lambda = 1; f = 83.1440587
lambda = 0.33333; f = 83.2049676
lambda = 0.11111; f = 83.1492327
lambda = 0.037037; f = 83.1441359
lambda = 0.012346; f = 83.1439020
Norm of dx 0.0044172
Predicted improvement: 0.001071102
lambda = 1; f = 83.1428306
Norm of dx 2.1449e-06
Done for param eA = 0.0062; f = 83.1428
Predicted improvement: 0.000151655
lambda = 1; f = 83.1428329
lambda = 0.33333; f = 83.1428314
lambda = 0.11111; f = 83.1428308
lambda = 0.037037; f = 83.1428307
lambda = 0.012346; f = 83.1428306
lambda = 0.0041152; f = 83.1428306
lambda = 0.0013717; f = 83.1428306
lambda = 0.00045725; f = 83.1428306
lambda = 0.00015242; f = 83.1428306
lambda = 5.0805e-05; f = 83.1428306
lambda = 1.6935e-05; f = 83.1428306
lambda = 5.645e-06; f = 83.1428306
lambda = 1.8817e-06; f = 83.1428306
lambda = 6.2723e-07; f = 83.1428306
lambda = 2.0908e-07; f = 83.1428306
lambda = 6.9692e-08; f = 83.1428306
lambda = 2.3231e-08; f = 83.1428306
lambda = 7.7435e-09; f = 83.1428306
lambda = 2.5812e-09; f = 83.1428306
Norm of dx 4.9619e-07
Done for param betta = 0.9900; f = 83.1428
Predicted improvement: 0.000566084
lambda = 1; f = 83.1422651
Norm of dx 2.3094e-05
Done for param rhho_A = 0.9570; f = 83.1423
Sequence of univariate steps!!
Actual dxnorm 6.3284e-05
FVAL 83.1423
Improvement 0.0017927
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 3.450497e-19.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.48205 s.
Iteration 44
Correct for low angle: 0.000796127
Predicted improvement: 1171136967.152696371
lambda = 1; f = 6323643852831.7978516
lambda = 0.33333; f = 702627087944.7164307
lambda = 0.11111; f = 78069674216.1139679
lambda = 0.037037; f = 8674407554.7751102
lambda = 0.012346; f = 963822880.4246004
lambda = 0.0041152; f = 107091420.0221090
lambda = 0.0013717; f = 11899092.2265762
lambda = 0.00045725; f = 1322185.8138391
lambda = 0.00015242; f = 146980.2894942
lambda = 5.0805e-05; f = 16403.9976645
lambda = 1.6935e-05; f = 1896.2207159
lambda = 5.645e-06; f = 284.4788065
lambda = 1.8817e-06; f = 105.4741412
lambda = 6.2723e-07; f = 85.6106569
lambda = 2.0908e-07; f = 83.4122441
lambda = 6.9692e-08; f = 83.1708564
lambda = 2.3231e-08; f = 83.1449956
lambda = 7.7435e-09; f = 83.1424423
lambda = 2.5812e-09; f = 83.1422652
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 18449.4882285
lambda = -2.0908e-07; f = 2123.6459111
lambda = -6.9692e-08; f = 309.7977454
lambda = -2.3231e-08; f = 108.3038316
lambda = -7.7435e-09; f = 85.9305428
lambda = -2.5812e-09; f = 83.4495964
Norm of dx 6.4533e+08
Predicted improvement: 0.009233340
lambda = 1; f = 83.1422651
lambda = 0.33333; f = 83.1422651
lambda = 0.11111; f = 83.1422651
lambda = 0.037037; f = 83.1422651
lambda = 0.012346; f = 83.1420367
lambda = 0.023866; f = 83.1418312
lambda = 0.046138; f = 83.1422651
lambda = 0.031067; f = 83.1422651
lambda = 0.024504; f = 83.1418201
lambda = 0.028254; f = 83.1422651
lambda = 0.02594; f = 83.1417950
lambda = 0.027304; f = 83.1422651
lambda = 0.026477; f = 83.1422651
lambda = 0.025993; f = 83.1417941
lambda = 0.026283; f = 83.1422651
Norm of dx 0.00029194
Predicted improvement: 0.000360526
lambda = 1; f = 83.1414335
Norm of dx 1.2443e-06
Done for param eA = 0.0062; f = 83.1414
Predicted improvement: 0.000036335
lambda = 1; f = 83.1413972
Norm of dx 4.0894e-05
Done for param eG = 0.0033; f = 83.1414
Predicted improvement: 0.000106756
lambda = 1; f = 83.1413995
lambda = 0.33333; f = 83.1413980
lambda = 0.11111; f = 83.1413975
lambda = 0.037037; f = 83.1413973
lambda = 0.012346; f = 83.1413973
lambda = 0.0041152; f = 83.1413972
lambda = 0.0013717; f = 83.1413972
lambda = 0.00045725; f = 83.1413972
lambda = 0.00015242; f = 83.1413972
lambda = 5.0805e-05; f = 83.1413972
lambda = 1.6935e-05; f = 83.1413972
lambda = 5.645e-06; f = 83.1413972
lambda = 1.8817e-06; f = 83.1413972
lambda = 6.2723e-07; f = 83.1413972
lambda = 2.0908e-07; f = 83.1413972
lambda = 6.9692e-08; f = 83.1413972
lambda = 2.3231e-08; f = 83.1413972
lambda = 7.7435e-09; f = 83.1413972
lambda = 2.5812e-09; f = 83.1413972
Norm of dx 4.9468e-07
Done for param betta = 0.9900; f = 83.1414
Predicted improvement: 0.000334643
lambda = 1; f = 83.1410629
Norm of dx 1.7739e-05
Done for param rhho_A = 0.9571; f = 83.1411
Sequence of univariate steps!!
Actual dxnorm 4.8124e-05
FVAL 83.1411
Improvement 0.0012023
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 3.776717e-19.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.55202 s.
Iteration 45
Correct for low angle: 0.000732538
Predicted improvement: 844244480.985492229
lambda = 1; f = 4190299636749.2221680
lambda = 0.33333; f = 465588842996.1327515
lambda = 0.11111; f = 51732091871.6528473
lambda = 0.037037; f = 5748009659.0355282
lambda = 0.012346; f = 638667606.1863369
lambda = 0.0041152; f = 70963072.0540047
lambda = 0.0013717; f = 7884836.6192346
lambda = 0.00045725; f = 876159.1716453
lambda = 0.00015242; f = 97422.3591897
lambda = 5.0805e-05; f = 10897.7554165
lambda = 1.6935e-05; f = 1284.4801267
lambda = 5.645e-06; f = 216.5282858
lambda = 1.8817e-06; f = 97.9302562
lambda = 6.2723e-07; f = 84.7737926
lambda = 2.0908e-07; f = 83.3189951
lambda = 6.9692e-08; f = 83.1596949
lambda = 2.3231e-08; f = 83.1427762
lambda = 7.7435e-09; f = 83.1411568
lambda = 2.5812e-09; f = 83.1410647
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 12521.1863985
lambda = -2.0908e-07; f = 1464.9823389
lambda = -6.9692e-08; f = 236.6244018
lambda = -2.3231e-08; f = 100.1765801
lambda = -7.7435e-09; f = 85.0278422
lambda = -2.5812e-09; f = 83.3486929
Norm of dx 5.2627e+08
Correct for low angle: 0.00428618
Predicted improvement: 0.015812267
lambda = 1; f = 83.1410629
lambda = 0.33333; f = 83.1410629
lambda = 0.11111; f = 83.1410629
lambda = 0.037037; f = 83.1410629
lambda = 0.012346; f = 83.1410629
lambda = 0.0041152; f = 83.1410629
lambda = 0.0013717; f = 83.1410629
lambda = 0.00045725; f = 83.1410497
lambda = 0.00088394; f = 83.1410629
lambda = 0.0005952; f = 83.1410463
lambda = 0.0007546; f = 83.1410427
lambda = 0.0009567; f = 83.1410629
lambda = 0.00082974; f = 83.1410629
lambda = 0.0007618; f = 83.1410425
lambda = 0.00080187; f = 83.1410417
lambda = 0.00084404; f = 83.1410629
lambda = 0.00081848; f = 83.1410413
lambda = 0.00083372; f = 83.1410629
lambda = 0.00082454; f = 83.1410629
Norm of dx 0.0098567
Predicted improvement: 0.000341930
lambda = 1; f = 83.1406994
Norm of dx 1.2116e-06
Done for param eA = 0.0062; f = 83.1407
Predicted improvement: 0.000022630
lambda = 1; f = 83.1406767
Norm of dx 3.2271e-05
Done for param eG = 0.0033; f = 83.1407
Predicted improvement: 0.000046532
lambda = 1; f = 83.1406790
lambda = 0.33333; f = 83.1406775
lambda = 0.11111; f = 83.1406770
lambda = 0.037037; f = 83.1406768
lambda = 0.012346; f = 83.1406768
lambda = 0.0041152; f = 83.1406768
lambda = 0.0013717; f = 83.1406767
lambda = 0.00045725; f = 83.1406767
lambda = 0.00015242; f = 83.1406767
lambda = 5.0805e-05; f = 83.1406767
lambda = 1.6935e-05; f = 83.1406767
lambda = 5.645e-06; f = 83.1406767
lambda = 1.8817e-06; f = 83.1406767
lambda = 6.2723e-07; f = 83.1406767
lambda = 2.0908e-07; f = 83.1406767
lambda = 6.9692e-08; f = 83.1406767
lambda = 2.3231e-08; f = 83.1406767
lambda = 7.7435e-09; f = 83.1406767
Norm of dx 4.8799e-07
Done for param betta = 0.9900; f = 83.1407
Predicted improvement: 0.000307579
lambda = 1; f = 83.1403694
Norm of dx 1.6999e-05
Done for param rhho_A = 0.9571; f = 83.1404
Sequence of univariate steps!!
Actual dxnorm 2.9067e-05
FVAL 83.1404
Improvement 0.00069346
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 3.967892e-19.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.52753 s.
Iteration 46
Correct for low angle: 0.000403087
Predicted improvement: 391968887.134922862
lambda = 1; f = 1081993022634.8889160
lambda = 0.33333; f = 120221444185.5020142
lambda = 0.11111; f = 13357937367.4585762
lambda = 0.037037; f = 1484215020.5276833
lambda = 0.012346; f = 164912748.4859312
lambda = 0.0041152; f = 18323677.4648151
lambda = 0.0013717; f = 2036026.3458655
lambda = 0.00045725; f = 226295.1456329
lambda = 0.00015242; f = 25216.5054906
lambda = 5.0805e-05; f = 2875.3024730
lambda = 1.6935e-05; f = 393.2359520
lambda = 5.645e-06; f = 117.5472396
lambda = 1.8817e-06; f = 86.9473126
lambda = 6.2723e-07; f = 83.5580381
lambda = 2.0908e-07; f = 83.1850245
lambda = 6.9692e-08; f = 83.1447694
lambda = 2.3231e-08; f = 83.1406936
lambda = 7.7435e-09; f = 83.1403730
lambda = 2.5812e-09; f = 83.1403696
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 3410.1845885
lambda = -2.0908e-07; f = 452.7278775
lambda = -6.9692e-08; f = 124.1776305
lambda = -2.3231e-08; f = 87.6907323
lambda = -7.7435e-09; f = 83.6428607
lambda = -2.5812e-09; f = 83.1951733
Norm of dx 2.6681e+08
Correct for low angle: 0.00453757
Predicted improvement: 0.008001715
lambda = 1; f = 83.1403694
lambda = 0.33333; f = 83.1403694
lambda = 0.11111; f = 83.1403694
lambda = 0.037037; f = 83.1403694
lambda = 0.012346; f = 83.1403694
lambda = 0.0041152; f = 83.1403694
lambda = 0.0013717; f = 83.1403694
lambda = 0.00045725; f = 83.1403694
lambda = 0.00015242; f = 83.1403694
lambda = 5.0805e-05; f = 83.1403694
lambda = 1.6935e-05; f = 83.1403694
lambda = 5.645e-06; f = 83.1403694
lambda = 1.8817e-06; f = 83.1403694
lambda = 6.2723e-07; f = 83.1403694
lambda = 2.0908e-07; f = 83.1403694
lambda = 4.0418e-07; f = 83.1403694
lambda = 7.8135e-07; f = 83.1403694
lambda = 5.2612e-07; f = 83.1403694
lambda = 6.6703e-07; f = 83.1403694
lambda = 5.7851e-07; f = 83.1403694
lambda = 5.3114e-07; f = 83.1403694
lambda = 5.5907e-07; f = 83.1403694
lambda = 5.4214e-07; f = 83.1403694
lambda = 5.5224e-07; f = 83.1403694
lambda = 5.4616e-07; f = 83.1403694
Norm of dx 0.0054467
Predicted improvement: 0.000361922
lambda = 1; f = 83.1400075
Norm of dx 1.2463e-06
Done for param eA = 0.0062; f = 83.1400
Predicted improvement: 0.000013001
lambda = 1; f = 83.1399945
Norm of dx 2.446e-05
Done for param eG = 0.0033; f = 83.1400
Predicted improvement: 0.000045120
lambda = 1; f = 83.1399968
lambda = 0.33333; f = 83.1399952
lambda = 0.11111; f = 83.1399947
lambda = 0.037037; f = 83.1399945
lambda = 0.012346; f = 83.1399945
lambda = 0.0041152; f = 83.1399945
lambda = 0.0013717; f = 83.1399945
lambda = 0.00045725; f = 83.1399945
lambda = 0.00015242; f = 83.1399945
lambda = 5.0805e-05; f = 83.1399945
lambda = 1.6935e-05; f = 83.1399945
lambda = 5.645e-06; f = 83.1399945
lambda = 1.8817e-06; f = 83.1399945
lambda = 6.2723e-07; f = 83.1399945
lambda = 2.0908e-07; f = 83.1399945
lambda = 6.9692e-08; f = 83.1399945
lambda = 2.3231e-08; f = 83.1399945
lambda = 7.7435e-09; f = 83.1399945
lambda = 1.497e-08; f = 83.1399945
lambda = 1.008e-08; f = 83.1399945
lambda = 7.9504e-09; f = 83.1399945
Norm of dx 4.875e-07
Done for param betta = 0.9900; f = 83.1400
Predicted improvement: 0.000278712
lambda = 1; f = 83.1397159
Norm of dx 1.6174e-05
Done for param rhho_A = 0.9571; f = 83.1397
Sequence of univariate steps!!
Actual dxnorm 2.9348e-05
FVAL 83.1397
Improvement 0.00065346
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 4.309193e-19.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.54502 s.
Iteration 47
Correct for low angle: 0.00026867
Predicted improvement: 225393991.498055756
lambda = 1; f = 408685345687.2629395
lambda = 0.33333; f = 45409481178.1597595
lambda = 0.11111; f = 5045497399.2922344
lambda = 0.037037; f = 560610701.6141899
lambda = 0.012346; f = 62290087.0486706
lambda = 0.0041152; f = 6921173.0817007
lambda = 0.0013717; f = 769085.9321407
lambda = 0.00045725; f = 85525.4940759
lambda = 0.00015242; f = 9575.9345494
lambda = 5.0805e-05; f = 1137.6280214
lambda = 1.6935e-05; f = 200.2162137
lambda = 5.645e-06; f = 96.1186150
lambda = 1.8817e-06; f = 84.5719714
lambda = 6.2723e-07; f = 83.2955965
lambda = 2.0908e-07; f = 83.1559722
lambda = 6.9692e-08; f = 83.1411901
lambda = 2.3231e-08; f = 83.1397915
lambda = 7.7435e-09; f = 83.1397167
lambda = 2.5812e-09; f = 83.1397160
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 1382.4081227
lambda = -2.0908e-07; f = 227.4507282
lambda = -6.9692e-08; f = 99.1568978
lambda = -2.3231e-08; f = 84.9136174
lambda = -7.7435e-09; f = 83.3348939
lambda = -2.5812e-09; f = 83.1607679
Norm of dx 1.6539e+08
Correct for low angle: 0.00481707
Predicted improvement: 0.005474982
lambda = 1; f = 83.1397159
lambda = 0.33333; f = 83.1397159
lambda = 0.11111; f = 83.1397159
lambda = 0.037037; f = 83.1397159
lambda = 0.012346; f = 83.1397159
lambda = 0.0041152; f = 83.1397159
lambda = 0.0013717; f = 83.1397159
lambda = 0.00045725; f = 83.1397159
lambda = 0.00015242; f = 83.1397159
lambda = 5.0805e-05; f = 83.1397159
lambda = 1.6935e-05; f = 83.1397159
lambda = 5.645e-06; f = 83.1397159
lambda = 1.8817e-06; f = 83.1397159
lambda = 6.2723e-07; f = 83.1397159
lambda = 2.0908e-07; f = 83.1397159
lambda = 6.9692e-08; f = 83.1397159
lambda = 2.3231e-08; f = 83.1397159
lambda = 7.7435e-09; f = 83.1397159
lambda = 1.497e-08; f = 83.1397159
lambda = 2.8939e-08; f = 83.1397159
lambda = 1.9486e-08; f = 83.1397159
lambda = 1.537e-08; f = 83.1397159
lambda = 1.7721e-08; f = 83.1397159
lambda = 1.627e-08; f = 83.1397159
lambda = 1.5457e-08; f = 83.1397159
lambda = 1.594e-08; f = 83.1397159
lambda = 1.5649e-08; f = 83.1397159
lambda = 1.5823e-08; f = 83.1397159
Norm of dx 0.0040175
Predicted improvement: 0.000311163
lambda = 1; f = 83.1394048
Norm of dx 1.1554e-06
Done for param eA = 0.0062; f = 83.1394
Predicted improvement: 0.000010208
lambda = 1; f = 83.1393946
Norm of dx 2.1677e-05
Done for param eG = 0.0032; f = 83.1394
Predicted improvement: 0.000038415
lambda = 1; f = 83.1393969
lambda = 0.33333; f = 83.1393953
lambda = 0.11111; f = 83.1393948
lambda = 0.037037; f = 83.1393947
lambda = 0.012346; f = 83.1393946
lambda = 0.0041152; f = 83.1393946
lambda = 0.0013717; f = 83.1393946
lambda = 0.00045725; f = 83.1393946
lambda = 0.00015242; f = 83.1393946
lambda = 5.0805e-05; f = 83.1393946
lambda = 1.6935e-05; f = 83.1393946
lambda = 5.645e-06; f = 83.1393946
lambda = 1.8817e-06; f = 83.1393946
lambda = 6.2723e-07; f = 83.1393946
lambda = 2.0908e-07; f = 83.1393946
lambda = 6.9692e-08; f = 83.1393946
lambda = 2.3231e-08; f = 83.1393946
lambda = 7.7435e-09; f = 83.1393946
lambda = 2.5812e-09; f = 83.1393946
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 83.1397159
lambda = -2.0908e-07; f = 83.1397159
lambda = -6.9692e-08; f = 83.1397159
lambda = -2.3231e-08; f = 83.1397159
lambda = -7.7435e-09; f = 83.1397159
lambda = -2.5812e-09; f = 83.1397159
Norm of dx 4.8535e-07
Done for param betta = 0.9900; f = 83.1394
Predicted improvement: 0.000241187
lambda = 1; f = 83.1391535
Norm of dx 1.5039e-05
Done for param rhho_A = 0.9571; f = 83.1392
Predicted improvement: 0.000012198
lambda = 1; f = 83.1391427
Norm of dx 0.0010785
Done for param rhho_G = 0.8524; f = 83.1391
Sequence of univariate steps!!
Actual dxnorm 0.0010788
FVAL 83.1391
Improvement 0.00057322
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 1.063702e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.55325 s.
Iteration 48
Correct for low angle: 0.00113708
Predicted improvement: 336986410.379715621
lambda = 1; f = 735822390709.3112793
lambda = 0.33333; f = 81758041138.4726410
lambda = 0.11111; f = 9084226084.5402832
lambda = 0.037037; f = 1009358266.8976901
lambda = 0.012346; f = 112150905.4984773
lambda = 0.0041152; f = 12461256.6411455
lambda = 0.0013717; f = 1384648.3119318
lambda = 0.00045725; f = 153920.4936639
lambda = 0.00015242; f = 17175.1051454
lambda = 5.0805e-05; f = 1981.8887026
lambda = 1.6935e-05; f = 293.9920806
lambda = 5.645e-06; f = 106.5275243
lambda = 1.8817e-06; f = 85.7246334
lambda = 6.2723e-07; f = 83.4220358
lambda = 2.0908e-07; f = 83.1691365
lambda = 6.9692e-08; f = 83.1420183
lambda = 2.3231e-08; f = 83.1393323
lambda = 7.7435e-09; f = 83.1391430
lambda = 2.5812e-09; f = 83.1391428
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 7932.2088400
lambda = -2.0908e-07; f = 955.1306810
lambda = -6.9692e-08; f = 179.9846586
lambda = -2.3231e-08; f = 93.8856175
lambda = -7.7435e-09; f = 84.3284890
lambda = -2.5812e-09; f = 83.2697297
Norm of dx 2.6631e+08
Predicted improvement: 0.000268956
lambda = 1; f = 83.1388738
Norm of dx 1.074e-06
Done for param eA = 0.0062; f = 83.1389
Predicted improvement: 0.000031839
lambda = 1; f = 83.1388761
lambda = 0.33333; f = 83.1388746
lambda = 0.11111; f = 83.1388740
lambda = 0.037037; f = 83.1388739
lambda = 0.012346; f = 83.1388738
lambda = 0.0041152; f = 83.1388738
lambda = 0.0013717; f = 83.1388738
lambda = 0.00045725; f = 83.1388738
lambda = 0.00015242; f = 83.1388738
lambda = 5.0805e-05; f = 83.1388738
lambda = 1.6935e-05; f = 83.1388738
lambda = 5.645e-06; f = 83.1388738
lambda = 1.8817e-06; f = 83.1388738
lambda = 6.2723e-07; f = 83.1388738
lambda = 2.0908e-07; f = 83.1388738
lambda = 6.9692e-08; f = 83.1388738
lambda = 2.3231e-08; f = 83.1388738
lambda = 7.7435e-09; f = 83.1388738
lambda = 2.5812e-09; f = 83.1388738
Norm of dx 4.8223e-07
Done for param betta = 0.9900; f = 83.1389
Predicted improvement: 0.000244494
lambda = 1; f = 83.1386295
Norm of dx 1.5136e-05
Done for param rhho_A = 0.9571; f = 83.1386
Sequence of univariate steps!!
Actual dxnorm 1.5174e-05
FVAL 83.1386
Improvement 0.00051328
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 1.015762e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.45264 s.
Iteration 49
Predicted improvement: 2332698468.199747086
lambda = 1; f = 607443341845002112.0000000
lambda = 0.33333; f = 67493704648292512.0000000
lambda = 0.11111; f = 7499300516092941.0000000
lambda = 0.037037; f = 833255612771263.0000000
lambda = 0.012346; f = 92583956931983.2500000
lambda = 0.0041152; f = 10287106311624.6621094
lambda = 0.0013717; f = 1143011807734.9233398
lambda = 0.00045725; f = 127001310463.8755035
lambda = 0.00015242; f = 14111256265.2519073
lambda = 5.0805e-05; f = 1567917261.0876374
lambda = 1.6935e-05; f = 174213044.3710586
lambda = 5.645e-06; f = 19357059.3179226
lambda = 1.8817e-06; f = 2150851.7652910
lambda = 6.2723e-07; f = 239055.2623857
lambda = 2.0908e-07; f = 26634.8741549
lambda = 6.9692e-08; f = 3033.0906044
lambda = 2.3231e-08; f = 410.8308127
lambda = 7.7435e-09; f = 119.5221479
lambda = 2.5812e-09; f = 87.1723632
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 83.1490705
lambda = -2.0908e-07; f = 83.1396479
lambda = -6.9692e-08; f = 83.1387381
lambda = -2.3231e-08; f = 83.1386414
lambda = -7.7435e-09; f = 83.1386308
lambda = -2.5812e-09; f = 83.1386296
Norm of dx 1.4937e+09
Predicted improvement: 0.002121558
lambda = 1; f = 83.1386295
lambda = 0.33333; f = 83.1386295
lambda = 0.11111; f = 83.1386295
lambda = 0.037037; f = 83.1386295
lambda = 0.012346; f = 83.1386295
lambda = 0.0041152; f = 83.1386295
lambda = 0.0013717; f = 83.1386295
lambda = 0.00045725; f = 83.1386295
lambda = 0.00015242; f = 83.1386295
lambda = 5.0805e-05; f = 83.1386295
lambda = 1.6935e-05; f = 83.1386295
lambda = 5.645e-06; f = 83.1386295
lambda = 1.8817e-06; f = 83.1386294
lambda = 3.6376e-06; f = 83.1386294
lambda = 7.0322e-06; f = 83.1386295
lambda = 4.7351e-06; f = 83.1386294
lambda = 6.0032e-06; f = 83.1386295
lambda = 5.2066e-06; f = 83.1386295
lambda = 4.7802e-06; f = 83.1386294
lambda = 5.0316e-06; f = 83.1386295
lambda = 4.8793e-06; f = 83.1386294
lambda = 4.9701e-06; f = 83.1386294
lambda = 5.0627e-06; f = 83.1386295
lambda = 5.0069e-06; f = 83.1386295
Norm of dx 6.9954e-05
Predicted improvement: 0.000218616
lambda = 1; f = 83.1384108
Norm of dx 9.6819e-07
Done for param eA = 0.0062; f = 83.1384
Predicted improvement: 0.000022147
lambda = 1; f = 83.1383887
Norm of dx 3.1969e-05
Done for param eG = 0.0032; f = 83.1384
Predicted improvement: 0.000028342
lambda = 1; f = 83.1383910
lambda = 0.33333; f = 83.1383894
lambda = 0.11111; f = 83.1383889
lambda = 0.037037; f = 83.1383888
lambda = 0.012346; f = 83.1383887
lambda = 0.0041152; f = 83.1383887
lambda = 0.0013717; f = 83.1383887
lambda = 0.00045725; f = 83.1383887
lambda = 0.00015242; f = 83.1383887
lambda = 5.0805e-05; f = 83.1383887
lambda = 1.6935e-05; f = 83.1383887
lambda = 5.645e-06; f = 83.1383887
lambda = 1.8817e-06; f = 83.1383887
lambda = 6.2723e-07; f = 83.1383887
lambda = 2.0908e-07; f = 83.1383887
lambda = 6.9692e-08; f = 83.1383887
lambda = 2.3231e-08; f = 83.1383887
lambda = 7.7435e-09; f = 83.1383887
Norm of dx 4.8044e-07
Done for param betta = 0.9900; f = 83.1384
Predicted improvement: 0.000151208
lambda = 1; f = 83.1382376
Norm of dx 1.1897e-05
Done for param rhho_A = 0.9571; f = 83.1382
Sequence of univariate steps!!
Actual dxnorm 3.4125e-05
FVAL 83.1382
Improvement 0.0003919
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 1.467826e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.48662 s.
Iteration 50
Correct for low angle: 0.00407204
Predicted improvement: 650598215.398930669
lambda = 1; f = 7263459624541.2343750
lambda = 0.33333; f = 807051062094.0932617
lambda = 0.11111; f = 89672337848.8185120
lambda = 0.037037; f = 9963592348.9607906
lambda = 0.012346; f = 1107065617.3675323
lambda = 0.0041152; f = 123007273.6911853
lambda = 0.0013717; f = 13667518.4125592
lambda = 0.00045725; f = 1518676.9434049
lambda = 0.00015242; f = 168812.4118780
lambda = 5.0805e-05; f = 18829.7115385
lambda = 1.6935e-05; f = 2165.7162589
lambda = 5.645e-06; f = 314.4109621
lambda = 1.8817e-06; f = 108.7936183
lambda = 6.2723e-07; f = 85.9749950
lambda = 2.0908e-07; f = 83.4488418
lambda = 6.9692e-08; f = 83.1712412
lambda = 2.3231e-08; f = 83.1414245
lambda = 7.7435e-09; f = 83.1384540
lambda = 2.5812e-09; f = 83.1382382
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 5288.7613466
lambda = -2.0908e-07; f = 661.4381467
lambda = -6.9692e-08; f = 147.3595696
lambda = -2.3231e-08; f = 90.2625427
lambda = -7.7435e-09; f = 83.9260336
lambda = -2.5812e-09; f = 83.2245121
Norm of dx 6.0232e+08
Predicted improvement: 0.090186091
lambda = 1; f = 83.1382376
lambda = 0.33333; f = 83.1382376
lambda = 0.11111; f = 83.1382376
lambda = 0.037037; f = 83.1382376
lambda = 0.012346; f = 83.1382376
lambda = 0.0041152; f = 83.1382376
lambda = 0.0013717; f = 83.1382376
lambda = 0.00045725; f = 83.1382376
lambda = 0.00015242; f = 83.1382376
lambda = 5.0805e-05; f = 83.1382376
lambda = 1.6935e-05; f = 83.1382376
lambda = 5.645e-06; f = 83.1382376
lambda = 1.8817e-06; f = 83.1382376
lambda = 6.2723e-07; f = 83.1382376
lambda = 2.0908e-07; f = 83.1382376
lambda = 6.9692e-08; f = 83.1382376
lambda = 2.3231e-08; f = 83.1382376
lambda = 7.7435e-09; f = 83.1382376
lambda = 2.5812e-09; f = 83.1382376
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 83.1382377
lambda = -2.0908e-07; f = 83.1382376
lambda = -6.9692e-08; f = 83.1382376
lambda = -2.3231e-08; f = 83.1382376
lambda = -7.7435e-09; f = 83.1382376
lambda = -2.5812e-09; f = 83.1382376
Norm of dx 0.019687
Predicted improvement: 0.000197477
lambda = 1; f = 83.1380401
Norm of dx 9.2008e-07
Done for param eA = 0.0062; f = 83.1380
Predicted improvement: 0.000022901
lambda = 1; f = 83.1380424
lambda = 0.33333; f = 83.1380409
lambda = 0.11111; f = 83.1380403
lambda = 0.037037; f = 83.1380402
lambda = 0.012346; f = 83.1380401
lambda = 0.0041152; f = 83.1380401
lambda = 0.0013717; f = 83.1380401
lambda = 0.00045725; f = 83.1380401
lambda = 0.00015242; f = 83.1380401
lambda = 5.0805e-05; f = 83.1380401
lambda = 1.6935e-05; f = 83.1380401
lambda = 5.645e-06; f = 83.1380401
lambda = 1.8817e-06; f = 83.1380401
lambda = 6.2723e-07; f = 83.1380401
lambda = 2.0908e-07; f = 83.1380401
lambda = 6.9692e-08; f = 83.1380401
lambda = 2.3231e-08; f = 83.1380401
lambda = 7.7435e-09; f = 83.1380401
lambda = 2.5812e-09; f = 83.1380401
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 83.1382376
lambda = -2.0908e-07; f = 83.1382376
lambda = -6.9692e-08; f = 83.1382376
lambda = -2.3231e-08; f = 83.1380401
lambda = -7.7435e-09; f = 83.1380401
lambda = -2.5812e-09; f = 83.1380401
Norm of dx 4.7572e-07
Done for param betta = 0.9900; f = 83.1380
Predicted improvement: 0.000176158
lambda = 1; f = 83.1378640
Norm of dx 1.2838e-05
Done for param rhho_A = 0.9572; f = 83.1379
Sequence of univariate steps!!
Actual dxnorm 1.2871e-05
FVAL 83.1379
Improvement 0.00037352
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 1.402045e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.52905 s.
Iteration 51
Correct for low angle: 0.00294129
Predicted improvement: 385176777.201336503
lambda = 1; f = 5662994071508531.0000000
lambda = 0.33333; f = 629221563388272.8750000
lambda = 0.11111; f = 69913507005632.4843750
lambda = 0.037037; f = 7768167432616.5507813
lambda = 0.012346; f = 863129710633.1986084
lambda = 0.0041152; f = 95903299863.4088287
lambda = 0.0013717; f = 10655921816.9597759
lambda = 0.00045725; f = 1183991232.2338917
lambda = 0.00015242; f = 131554603.7056858
lambda = 5.0805e-05; f = 14617234.9052197
lambda = 1.6935e-05; f = 1624205.3838350
lambda = 5.645e-06; f = 180539.2558294
lambda = 1.8817e-06; f = 20133.1812116
lambda = 6.2723e-07; f = 2310.7083446
lambda = 2.0908e-07; f = 330.5750192
lambda = 6.9692e-08; f = 110.6073511
lambda = 2.3231e-08; f = 86.1822144
lambda = 7.7435e-09; f = 83.4735487
lambda = 2.5812e-09; f = 83.1743315
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 83.1483310
lambda = -2.0908e-07; f = 83.1388848
lambda = -6.9692e-08; f = 83.1379729
lambda = -2.3231e-08; f = 83.1378760
lambda = -7.7435e-09; f = 83.1378654
lambda = -2.5812e-09; f = 83.1378642
Norm of dx 3.9892e+08
Predicted improvement: 0.001469952
lambda = 1; f = 83.1363971
Norm of dx 0.00010576
Predicted improvement: 0.000405173
lambda = 1; f = 83.1359926
Norm of dx 0.00013701
Done for param eG = 0.0031; f = 83.1360
Predicted improvement: 0.000232132
lambda = 1; f = 83.1359950
lambda = 0.33333; f = 83.1359934
lambda = 0.11111; f = 83.1359929
lambda = 0.037037; f = 83.1359927
lambda = 0.012346; f = 83.1359926
lambda = 0.0041152; f = 83.1359926
lambda = 0.0013717; f = 83.1359926
lambda = 0.00045725; f = 83.1359926
lambda = 0.00015242; f = 83.1359926
lambda = 5.0805e-05; f = 83.1359926
lambda = 1.6935e-05; f = 83.1359926
lambda = 5.645e-06; f = 83.1359926
lambda = 1.8817e-06; f = 83.1359926
lambda = 6.2723e-07; f = 83.1359926
lambda = 2.0908e-07; f = 83.1359926
lambda = 6.9692e-08; f = 83.1359926
lambda = 2.3231e-08; f = 83.1359926
lambda = 7.7435e-09; f = 83.1359926
lambda = 2.5812e-09; f = 83.1359926
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 83.1359926
Norm of dx 4.9744e-07
Done for param betta = 0.9900; f = 83.1360
Predicted improvement: 0.000031621
lambda = 1; f = 83.1359610
Norm of dx 5.4189e-06
Done for param rhho_A = 0.9573; f = 83.1360
Predicted improvement: 0.000036574
lambda = 1; f = 83.1359213
Norm of dx 0.0017869
Done for param rhho_G = 0.8506; f = 83.1359
Sequence of univariate steps!!
Actual dxnorm 0.001795
FVAL 83.1359
Improvement 0.0019427
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 6.143920e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.47537 s.
Iteration 52
Correct for low angle: 0.00185795
Predicted improvement: 27073450.545066707
lambda = 1; f = 150737957084135.2187500
lambda = 0.33333; f = 16748661881264.3613281
lambda = 0.11111; f = 1860962425643.2324219
lambda = 0.037037; f = 206773601029.0593872
lambda = 0.012346; f = 22974844001.3206062
lambda = 0.0041152; f = 2552760308.0356779
lambda = 0.0013717; f = 283640037.9734456
lambda = 0.00045725; f = 31515610.2896728
lambda = 0.00015242; f = 3501800.5806713
lambda = 5.0805e-05; f = 389160.2538473
lambda = 1.6935e-05; f = 43313.0607775
lambda = 5.645e-06; f = 4886.1722585
lambda = 1.8817e-06; f = 616.7104378
lambda = 6.2723e-07; f = 142.3899441
lambda = 2.0908e-07; f = 89.7090514
lambda = 6.9692e-08; f = 83.8627470
lambda = 2.3231e-08; f = 83.2155222
lambda = 7.7435e-09; f = 83.1443858
lambda = 2.5812e-09; f = 83.1367407
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 83.1427828
lambda = -2.0908e-07; f = 83.1366069
lambda = -6.9692e-08; f = 83.1359950
lambda = -2.3231e-08; f = 83.1359294
lambda = -7.7435e-09; f = 83.1359222
lambda = -2.5812e-09; f = 83.1359214
Norm of dx 3.8746e+07
Correct for low angle: 0.00145893
Predicted improvement: 0.001486749
lambda = 1; f = 84.1249064
lambda = 0.33333; f = 83.2425064
lambda = 0.11111; f = 83.1476033
lambda = 0.037037; f = 83.1371995
lambda = 0.012346; f = 83.1360580
lambda = 0.0041152; f = 83.1359348
lambda = 0.0013717; f = 83.1359222
lambda = 0.00045725; f = 83.1359212
lambda = 0.00015242; f = 83.1359213
lambda = 5.0805e-05; f = 83.1359213
lambda = 1.6935e-05; f = 83.1359213
lambda = 5.645e-06; f = 83.1359213
lambda = 1.8817e-06; f = 83.1359213
lambda = 6.2723e-07; f = 83.1359213
lambda = 2.0908e-07; f = 83.1359213
lambda = 6.9692e-08; f = 83.1359213
lambda = 2.3231e-08; f = 83.1359213
lambda = 7.7435e-09; f = 83.1359213
lambda = 2.5812e-09; f = 83.1359213
Norm of dx 0.0023438
Predicted improvement: 0.000018169
lambda = 1; f = 83.1359031
Norm of dx 2.788e-07
Done for param eA = 0.0061; f = 83.1359
Predicted improvement: 0.000011044
lambda = 1; f = 83.1358920
Norm of dx 2.2619e-05
Done for param eG = 0.0030; f = 83.1359
Sequence of univariate steps!!
Actual dxnorm 2.302e-05
FVAL 83.1359
Improvement 2.9291e-05
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 6.814850e-19.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.4518 s.
Iteration 53
Predicted improvement: 272923179.755152941
lambda = 1; f = 90657256893602000.0000000
lambda = 0.33333; f = 10073028543317816.0000000
lambda = 0.11111; f = 1119225393563448.3750000
lambda = 0.037037; f = 124358377016477.5312500
lambda = 0.012346; f = 13817597430948.6054688
lambda = 0.0041152; f = 1535288598379.1083984
lambda = 0.0013717; f = 170587620404.8469238
lambda = 0.00045725; f = 18954179548.4899940
lambda = 0.00015242; f = 2106019833.6002979
lambda = 5.0805e-05; f = 234002214.2551335
lambda = 1.6935e-05; f = 26000298.8013455
lambda = 5.645e-06; f = 2888988.9457792
lambda = 1.8817e-06; f = 321070.3230752
lambda = 6.2723e-07; f = 35747.5965240
lambda = 2.0908e-07; f = 4045.5929718
lambda = 6.9692e-08; f = 523.3220060
lambda = 2.3231e-08; f = 132.0165232
lambda = 7.7435e-09; f = 88.5574554
lambda = 2.5812e-09; f = 83.7351099
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 83.1396303
lambda = -2.0908e-07; f = 83.1362760
lambda = -6.9692e-08; f = 83.1359337
lambda = -2.3231e-08; f = 83.1358966
lambda = -7.7435e-09; f = 83.1358926
lambda = -2.5812e-09; f = 83.1358921
Norm of dx 3.6243e+08
Predicted improvement: 0.000007836
lambda = 1; f = 83.1359093
lambda = 0.33333; f = 83.1358905
lambda = 0.11111; f = 83.1358907
lambda = 0.2148; f = 83.1358902
Norm of dx 1.2779e-05
Predicted improvement: 0.000013352
lambda = 1; f = 83.1358768
Norm of dx 3.5231e-06
Done for param rhho_A = 0.9573; f = 83.1359
Sequence of univariate steps!!
Actual dxnorm 4.4662e-06
FVAL 83.1359
Improvement 1.5196e-05
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 1.722116e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.27188 s.
Iteration 54
Predicted improvement: 59014215.266696744
lambda = 1; f = 24564843302590028.0000000
lambda = 0.33333; f = 2729427033406090.0000000
lambda = 0.11111; f = 303269670306829.5625000
lambda = 0.037037; f = 33696630010266.4375000
lambda = 0.012346; f = 3744069993248.0683594
lambda = 0.0041152; f = 416007774445.9467773
lambda = 0.0013717; f = 46223085238.2766571
lambda = 0.00045725; f = 5135898138.6499109
lambda = 0.00015242; f = 570655324.2850765
lambda = 5.0805e-05; f = 63406188.2572514
lambda = 1.6935e-05; f = 7045194.9991379
lambda = 5.645e-06; f = 782869.7002661
lambda = 1.8817e-06; f = 87058.2066236
lambda = 6.2723e-07; f = 9746.6279259
lambda = 2.0908e-07; f = 1156.7223433
lambda = 6.9692e-08; f = 202.3783324
lambda = 2.3231e-08; f = 96.3700899
lambda = 7.7435e-09; f = 84.6013900
lambda = 2.5812e-09; f = 83.2970771
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 83.1366354
lambda = -2.0908e-07; f = 83.1359582
lambda = -6.9692e-08; f = 83.1358858
lambda = -2.3231e-08; f = 83.1358778
lambda = -7.7435e-09; f = 83.1358770
lambda = -2.5812e-09; f = 83.1358769
Norm of dx 1.8009e+08
Predicted improvement: 0.000000000
lambda = 1; f = 83.1358768
lambda = 0.33333; f = 83.1358768
Norm of dx 1.4129e-09
Predicted improvement: 0.000015986
lambda = 1; f = 83.1358609
Norm of dx 2.615e-07
Done for param eA = 0.0061; f = 83.1359
Predicted improvement: 0.000014277
lambda = 1; f = 83.1358466
Norm of dx 3.6427e-06
Done for param rhho_A = 0.9573; f = 83.1358
Sequence of univariate steps!!
Actual dxnorm 3.6516e-06
FVAL 83.1358
Improvement 3.0251e-05
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 1.724095e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.25526 s.
Iteration 55
Predicted improvement: 377296126.010493040
lambda = 1; f = 157085591703014272.0000000
lambda = 0.33333; f = 17453954633114254.0000000
lambda = 0.11111; f = 1939328292383635.0000000
lambda = 0.037037; f = 215480921314470.0625000
lambda = 0.012346; f = 23942324570049.5000000
lambda = 0.0041152; f = 2660258278794.5947266
lambda = 0.0013717; f = 295584250993.1782837
lambda = 0.00045725; f = 32842693868.6562691
lambda = 0.00015242; f = 3649188028.1804137
lambda = 5.0805e-05; f = 405465325.9141849
lambda = 1.6935e-05; f = 45051748.6283002
lambda = 5.645e-06; f = 5005814.3629524
lambda = 1.8817e-06; f = 556272.3667195
lambda = 6.2723e-07; f = 61880.8967400
lambda = 2.0908e-07; f = 6949.2062392
lambda = 6.9692e-08; f = 845.9167566
lambda = 2.3231e-08; f = 167.8507088
lambda = 7.7435e-09; f = 92.5357795
lambda = 2.5812e-09; f = 84.1760350
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 83.1411261
lambda = -2.0908e-07; f = 83.1363809
lambda = -6.9692e-08; f = 83.1359043
lambda = -2.3231e-08; f = 83.1358530
lambda = -7.7435e-09; f = 83.1358473
lambda = -2.5812e-09; f = 83.1358467
Norm of dx 4.6149e+08
Predicted improvement: 0.000119216
lambda = 1; f = 83.1357273
Norm of dx 3.0509e-05
Predicted improvement: 0.000041315
lambda = 1; f = 83.1356860
Norm of dx 4.3768e-05
Done for param eG = 0.0030; f = 83.1357
Predicted improvement: 0.000018252
lambda = 1; f = 83.1356884
lambda = 0.33333; f = 83.1356868
lambda = 0.11111; f = 83.1356863
lambda = 0.037037; f = 83.1356861
lambda = 0.012346; f = 83.1356861
lambda = 0.0041152; f = 83.1356860
lambda = 0.0013717; f = 83.1356860
lambda = 0.00045725; f = 83.1356860
lambda = 0.00015242; f = 83.1356860
lambda = 5.0805e-05; f = 83.1356860
lambda = 1.6935e-05; f = 83.1356860
lambda = 5.645e-06; f = 83.1356860
lambda = 1.8817e-06; f = 83.1356860
lambda = 6.2723e-07; f = 83.1356860
lambda = 2.0908e-07; f = 83.1356860
lambda = 6.9692e-08; f = 83.1356860
lambda = 2.3231e-08; f = 83.1356860
Norm of dx 4.6948e-07
Done for param betta = 0.9900; f = 83.1357
Sequence of univariate steps!!
Actual dxnorm 5.3352e-05
FVAL 83.1357
Improvement 0.00016056
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 3.502048e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.45585 s.
Iteration 56
Correct for low angle: 0.00202009
Predicted improvement: 9112597.671164958
lambda = 1; f = 730715698515277.7500000
lambda = 0.33333; f = 81190633131996.3437500
lambda = 0.11111; f = 9021181447037.3457031
lambda = 0.037037; f = 1002353490140.0743408
lambda = 0.012346; f = 111372608739.7672729
lambda = 0.0041152; f = 12374733928.4186993
lambda = 0.0013717; f = 1374970360.4232907
lambda = 0.00045725; f = 152774508.4012041
lambda = 0.00015242; f = 16975002.6134401
lambda = 5.0805e-05; f = 1886179.7456223
lambda = 1.6935e-05; f = 209647.5742871
lambda = 5.645e-06; f = 23367.4562055
lambda = 1.8817e-06; f = 2670.0767371
lambda = 6.2723e-07; f = 370.5050505
lambda = 2.0908e-07; f = 115.0427998
lambda = 6.9692e-08; f = 86.6733434
lambda = 2.3231e-08; f = 83.5262531
lambda = 7.7435e-09; f = 83.1782530
lambda = 2.5812e-09; f = 83.1401445
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 83.1360430
lambda = -2.0908e-07; f = 83.1357248
lambda = -6.9692e-08; f = 83.1356903
lambda = -2.3231e-08; f = 83.1356865
lambda = -7.7435e-09; f = 83.1356861
lambda = -2.5812e-09; f = 83.1356860
Norm of dx 3.4845e+07
Predicted improvement: 0.000000120
lambda = 1; f = 83.1356862
lambda = 0.33333; f = 83.1356861
lambda = 0.11111; f = 83.1356860
lambda = 0.037037; f = 83.1356860
lambda = 0.012346; f = 83.1356860
lambda = 0.0041152; f = 83.1356860
lambda = 0.0013717; f = 83.1356860
lambda = 0.00045725; f = 83.1356860
lambda = 0.00015242; f = 83.1356860
lambda = 5.0805e-05; f = 83.1356860
lambda = 1.6935e-05; f = 83.1356860
lambda = 5.645e-06; f = 83.1356860
lambda = 1.8817e-06; f = 83.1356860
lambda = 6.2723e-07; f = 83.1356860
lambda = 2.0908e-07; f = 83.1356860
lambda = 6.9692e-08; f = 83.1356860
lambda = 1.3473e-07; f = 83.1356860
lambda = 2.6045e-07; f = 83.1356860
lambda = 1.7537e-07; f = 83.1356860
lambda = 2.2234e-07; f = 83.1356860
lambda = 1.9284e-07; f = 83.1356860
lambda = 1.7705e-07; f = 83.1356860
lambda = 1.8636e-07; f = 83.1356860
lambda = 1.9616e-07; f = 83.1356860
lambda = 1.9022e-07; f = 83.1356860
lambda = 1.9376e-07; f = 83.1356860
lambda = 1.9163e-07; f = 83.1356860
lambda = 1.8952e-07; f = 83.1356860
Norm of dx 1.8196e-06
Predicted improvement: 0.000011306
lambda = 1; f = 83.1356747
Norm of dx 2.1984e-07
Done for param eA = 0.0061; f = 83.1357
Sequence of univariate steps!!
Actual dxnorm 2.1984e-07
FVAL 83.1357
Improvement 1.1298e-05
Ftol 1e-05
Htol 1e-05
[Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 3.353127e-18.]
[> In newrat (line 287)
In dynare_minimize_objective (line 340)
In mom.mode_compute_gmm_smm (line 123)
In mom.run (line 560)
In SMM.driver (line 654)
In dynare (line 310)
]
Elapsed time for iteration 0.56076 s.
Iteration 57
Predicted improvement: 11835521.906336110
lambda = 1; f = 2349012881263456.5000000
lambda = 0.33333; f = 261001431186451.9687500
lambda = 0.11111; f = 29000158999085.0820313
lambda = 0.037037; f = 3222239881625.8950195
lambda = 0.012346; f = 358026651176.1415405
lambda = 0.0041152; f = 39780738289.5546570
lambda = 0.0013717; f = 4420081838.0994816
lambda = 0.00045725; f = 491120188.8078017
lambda = 0.00015242; f = 54568953.9913216
lambda = 5.0805e-05; f = 6063281.0836889
lambda = 1.6935e-05; f = 673768.4883144
lambda = 5.645e-06; f = 74935.9610233
lambda = 1.8817e-06; f = 8399.7487225
lambda = 6.2723e-07; f = 1007.0813034
lambda = 2.0908e-07; f = 185.7554986
lambda = 6.9692e-08; f = 94.5243046
lambda = 2.3231e-08; f = 84.3965774
lambda = 7.7435e-09; f = 83.2742816
lambda = 2.5812e-09; f = 83.1505830
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 83.1358225
lambda = -2.0908e-07; f = 83.1356909
lambda = -6.9692e-08; f = 83.1356765
lambda = -2.3231e-08; f = 83.1356749
lambda = -7.7435e-09; f = 83.1356748
lambda = -2.5812e-09; f = 83.1356747
Norm of dx 6.2476e+07
Predicted improvement: 0.000000000
lambda = 1; f = 83.1356747
lambda = 1.9332; f = 83.1356747
Norm of dx 6.2582e-11
Sequence of univariate steps!!
Try diagonal Hessian
Predicted improvement: 0.000016335
lambda = 1; f = 83.1356934
lambda = 0.33333; f = 83.1356696
Norm of dx 0.00066752
Try gradient direction
Predicted improvement: 0.000234491
lambda = 1; f = 83.1356747
lambda = 0.33333; f = 83.1356747
lambda = 0.11111; f = 83.1356747
lambda = 0.037037; f = 83.1356747
lambda = 0.012346; f = 83.1356747
lambda = 0.0041152; f = 83.1356747
lambda = 0.0013717; f = 83.1356747
lambda = 0.00045725; f = 83.1356747
lambda = 0.00015242; f = 83.1356695
lambda = 0.00029465; f = 83.1356747
lambda = 0.0001984; f = 83.1356747
lambda = 0.00015649; f = 83.1356695
lambda = 0.00018043; f = 83.1356695
lambda = 0.00020804; f = 83.1356747
lambda = 0.00019101; f = 83.1356747
lambda = 0.00018146; f = 83.1356695
lambda = 0.00018713; f = 83.1356747
lambda = 0.00018371; f = 83.1356747
lambda = 0.00018169; f = 83.1356695
Norm of dx 0.00021656
No further improvement is possible!
Actual dxnorm 0.00022251
FVAL 83.1357
Improvement 5.2322e-06
Ftol 1e-05
Htol 1e-05
Gradient norm 2.1656
Minimum Hessian eigenvalue 5.9751e-09
Maximum Hessian eigenvalue 1546946768.5537
Estimation successful.
Stage 1 Iteration 1: Value of minimized moment distance objective function: 83.1356694952.
Norm of First-order
Iteration Func-count Resnorm step optimality
0 6 83.1357 2.56
1 12 83.1357 2.36568 2.56
2 18 83.1357 0.591419 2.56
3 24 83.1357 0.147855 2.56
4 30 83.1357 0.0369637 2.56
5 36 83.1357 0.00924092 2.56
6 42 83.1357 0.00231023 2.56
7 48 83.1357 0.000577557 2.56
8 54 83.1357 0.000144389 2.56
9 60 83.1357 3.60973e-05 2.56
10 66 83.1357 9.02433e-06 2.56
11 72 83.1357 2.25608e-06 2.56
12 78 83.1357 5.64021e-07 2.56
Local minimum possible.
lsqnonlin stopped because the size of the current step is less than
the value of the step size tolerance.
<stopping criteria details>
Stage 1 Iteration 2: Value of minimized moment distance objective function: 83.1356694952.
Estimation stage 2
- optimal weighting matrix (Bartlett kernel with 20 lags)
and using previous stage estimate of model-moments
Gradient norm 49.59
Minimum Hessian eigenvalue
Maximum Hessian eigenvalue
Iteration 1
Predicted improvement: 0.122958506
lambda = 1; f = 9.6929384
lambda = 0.33333; f = 2.3095097
lambda = 0.11111; f = 0.3470545
lambda = 0.037037; f = 0.0853517
lambda = 0.012346; f = 0.0581019
lambda = 0.0041152; f = 0.0563394
Norm of dx 0.004959
Predicted improvement: 1229.585056529
lambda = 1; f = 2455.7509148
lambda = 0.33333; f = 272.7769153
lambda = 0.11111; f = 30.3141726
lambda = 0.037037; f = 3.4038424
lambda = 0.012346; f = 0.4237973
lambda = 0.0041152; f = 0.0960117
lambda = 0.0013717; f = 0.0607012
lambda = 0.00045725; f = 0.0571479
lambda = 0.00015242; f = 0.0568764
lambda = 5.0805e-05; f = 4.5449553
lambda = 1.6935e-05; f = 0.7468004
lambda = 5.645e-06; f = 0.1405053
lambda = 1.8817e-06; f = 0.0658157
lambda = 6.2723e-07; f = 0.0573432
lambda = 2.0908e-07; f = 0.0564311
lambda = 6.9692e-08; f = 0.0563428
lambda = 2.3231e-08; f = 0.0563375
lambda = 7.7435e-09; f = 0.0563384
lambda = 2.5812e-09; f = 0.0563390
Norm of dx 49.59
Predicted improvement: 0.000787272
lambda = 1; f = 0.0557122
Norm of dx 0.00064335
Done for param eG = 0.0036; f = 0.0557
Predicted improvement: 0.000145273
lambda = 1; f = 0.0557122
lambda = 0.33333; f = 0.0557122
lambda = 0.11111; f = 0.0557122
lambda = 0.037037; f = 0.0557122
lambda = 0.012346; f = 0.0557122
lambda = 0.0041152; f = 0.0557122
lambda = 0.0013717; f = 0.0557122
lambda = 0.00045725; f = 0.0557122
lambda = 0.00015242; f = 0.0557122
lambda = 5.0805e-05; f = 0.0557122
lambda = 1.6935e-05; f = 0.0557122
lambda = 5.645e-06; f = 0.0557122
lambda = 1.8817e-06; f = 0.0557122
lambda = 6.2723e-07; f = 0.0557122
lambda = 2.0908e-07; f = 0.0557122
lambda = 6.9692e-08; f = 0.0557122
lambda = 2.3231e-08; f = 0.0557122
lambda = 7.7435e-09; f = 0.0557122
lambda = 2.5812e-09; f = 0.0557122
Norm of dx 5.0001e-07
Done for param betta = 0.9900; f = 0.0557
Predicted improvement: 0.000218711
lambda = 1; f = 0.0554912
Norm of dx 0.00017841
Done for param rhho_A = 0.9571; f = 0.0555
Predicted improvement: 0.000021905
lambda = 1; f = 0.0554714
Norm of dx 0.0051584
Done for param rhho_G = 0.8556; f = 0.0555
Sequence of univariate steps!!
Actual dxnorm 0.0052016
FVAL 0.055471
Improvement 0.001403
Ftol 1e-05
Htol 1e-05
Elapsed time for iteration 0.65732 s.
Iteration 2
Predicted improvement: 0.028411094
lambda = 1; f = 0.0556506
lambda = 0.33333; f = 0.0554756
lambda = 0.11111; f = 0.0554714
lambda = 0.037037; f = 0.0613445
lambda = 0.012346; f = 0.0557142
lambda = 0.0041152; f = 0.0553448
Norm of dx 0.13678
Predicted improvement: 0.000031194
lambda = 1; f = 0.0554918
lambda = 0.33333; f = 0.0553777
lambda = 0.11111; f = 0.0553540
lambda = 0.037037; f = 0.0553477
lambda = 0.012346; f = 0.0553458
lambda = 0.0041152; f = 0.0553451
lambda = 0.0013717; f = 0.0553449
lambda = 0.00045725; f = 0.0553449
lambda = 0.00015242; f = 0.0553449
lambda = 5.0805e-05; f = 0.0553448
lambda = 1.6935e-05; f = 0.0553448
lambda = 5.645e-06; f = 0.0553448
lambda = 1.8817e-06; f = 0.0553448
lambda = 6.2723e-07; f = 0.0553448
lambda = 2.0908e-07; f = 0.0553448
lambda = 6.9692e-08; f = 0.0553448
lambda = 2.3231e-08; f = 0.0553448
lambda = 7.7435e-09; f = 0.0553448
lambda = 2.5812e-09; f = 0.0553448
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 0.0553448
Norm of dx 0.00089627
Predicted improvement: 0.000013179
lambda = 1; f = 0.0553317
Norm of dx 3.4187e-06
Done for param eA = 0.0061; f = 0.0553
Predicted improvement: 0.000035015
lambda = 1; f = 0.0552976
Norm of dx 0.00010708
Done for param eG = 0.0037; f = 0.0553
Predicted improvement: 0.000021732
lambda = 1; f = 0.0552976
lambda = 0.33333; f = 0.0552976
lambda = 0.11111; f = 0.0552976
lambda = 0.037037; f = 0.0552976
lambda = 0.012346; f = 0.0552976
lambda = 0.0041152; f = 0.0552976
lambda = 0.0013717; f = 0.0552976
lambda = 0.00045725; f = 0.0552976
lambda = 0.00015242; f = 0.0552976
lambda = 5.0805e-05; f = 0.0552976
lambda = 1.6935e-05; f = 0.0552976
lambda = 5.645e-06; f = 0.0552976
lambda = 1.8817e-06; f = 0.0552976
lambda = 6.2723e-07; f = 0.0552976
lambda = 2.0908e-07; f = 0.0552976
lambda = 6.9692e-08; f = 0.0552976
lambda = 2.3231e-08; f = 0.0552976
lambda = 7.7435e-09; f = 0.0552976
lambda = 2.5812e-09; f = 0.0552976
Norm of dx 5.0004e-07
Done for param betta = 0.9900; f = 0.0553
Predicted improvement: 0.000019809
lambda = 1; f = 0.0552796
Norm of dx 0.0045694
Done for param rhho_G = 0.8596; f = 0.0553
Sequence of univariate steps!!
Actual dxnorm 0.0040115
FVAL 0.05528
Improvement 0.00019186
Ftol 1e-05
Htol 1e-05
Elapsed time for iteration 0.67442 s.
Iteration 3
Correct for low angle: 0.00180774
Predicted improvement: 0.006653881
lambda = 1; f = 0.0552879
lambda = 0.33333; f = 0.0552796
lambda = 0.11111; f = 0.0552796
lambda = 0.037037; f = 0.0566203
lambda = 0.012346; f = 0.0553304
lambda = 0.0041152; f = 0.0552493
Norm of dx 0.20264
Correct for low angle: 0.00187942
Predicted improvement: 0.004430123
lambda = 1; f = 0.0552799
lambda = 0.33333; f = 0.0552796
lambda = 0.11111; f = 0.0552796
lambda = 0.037037; f = 0.0560207
lambda = 0.012346; f = 0.0553297
lambda = 0.0041152; f = 0.0552555
lambda = 0.0013717; f = 0.0552490
lambda = 0.00045725; f = 0.0552489
lambda = 0.00015242; f = 0.0552491
lambda = 5.0805e-05; f = 0.0552492
lambda = 1.6935e-05; f = 0.0552493
lambda = 5.645e-06; f = 0.0552493
lambda = 1.8817e-06; f = 0.0552493
lambda = 6.2723e-07; f = 0.0552493
lambda = 2.0908e-07; f = 0.0552493
lambda = 6.9692e-08; f = 0.0552493
lambda = 2.3231e-08; f = 0.0552493
lambda = 7.7435e-09; f = 0.0552493
lambda = 2.5812e-09; f = 0.0552493
Norm of dx 0.13504
Predicted improvement: 0.000019582
lambda = 1; f = 0.0552310
Norm of dx 0.0043235
Done for param rhho_G = 0.8630; f = 0.0552
Sequence of univariate steps!!
Actual dxnorm 0.0034285
FVAL 0.055231
Improvement 4.8555e-05
Ftol 1e-05
Htol 1e-05
Elapsed time for iteration 0.46589 s.
Iteration 4
Correct for low angle: 0.00462114
Predicted improvement: 0.003706104
lambda = 1; f = 0.0552548
lambda = 0.33333; f = 0.0552310
lambda = 0.11111; f = 0.0552310
lambda = 0.037037; f = 0.0552310
lambda = 0.012346; f = 0.0552379
lambda = 0.0041152; f = 0.0552119
Norm of dx 0.15518
Predicted improvement: 0.000001411
lambda = 1; f = 0.0552293
lambda = 0.33333; f = 0.0552167
lambda = 0.11111; f = 0.0552134
lambda = 0.037037; f = 0.0552124
lambda = 0.012346; f = 0.0552120
lambda = 0.0041152; f = 0.0552119
lambda = 0.0013717; f = 0.0552119
lambda = 0.00045725; f = 0.0552119
lambda = 0.00015242; f = 0.0552119
lambda = 5.0805e-05; f = 0.0552119
lambda = 1.6935e-05; f = 0.0552119
lambda = 5.645e-06; f = 0.0552119
lambda = 1.8817e-06; f = 0.0552119
lambda = 6.2723e-07; f = 0.0552119
lambda = 2.0908e-07; f = 0.0552119
lambda = 6.9692e-08; f = 0.0552119
lambda = 2.3231e-08; f = 0.0552119
lambda = 7.7435e-09; f = 0.0552119
lambda = 2.5812e-09; f = 0.0552119
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 0.0552119
Norm of dx 0.0020057
Sequence of univariate steps!!
Actual dxnorm 0.00063862
FVAL 0.055212
Improvement 1.9137e-05
Ftol 1e-05
Htol 1e-05
Elapsed time for iteration 0.46695 s.
Iteration 5
Correct for low angle: 0.00278728
Predicted improvement: 0.000276516
lambda = 1; f = 0.0552119
lambda = 0.33333; f = 0.0555437
lambda = 0.11111; f = 0.0552092
lambda = 0.037037; f = 0.0551979
Norm of dx 0.025319
Norm of dx 0
Predicted improvement: 0.000020664
lambda = 1; f = 0.0551790
Norm of dx 0.0041816
Done for param rhho_G = 0.8675; f = 0.0552
Sequence of univariate steps!!
Actual dxnorm 0.0051193
FVAL 0.055179
Improvement 3.2848e-05
Ftol 1e-05
Htol 1e-05
Elapsed time for iteration 0.28166 s.
Iteration 6
Correct for low angle: 0.00196314
Predicted improvement: 0.000344945
lambda = 1; f = 0.0551790
lambda = 0.33333; f = 0.0556495
lambda = 0.11111; f = 0.0551816
lambda = 0.037037; f = 0.0551622
Norm of dx 0.022992
Predicted improvement: 0.000000511
lambda = 1; f = 0.0551650
lambda = 0.33333; f = 0.0551630
lambda = 0.11111; f = 0.0551625
lambda = 0.037037; f = 0.0551623
lambda = 0.012346; f = 0.0551622
lambda = 0.0041152; f = 0.0551622
lambda = 0.0013717; f = 0.0551622
lambda = 0.00045725; f = 0.0551622
lambda = 0.00015242; f = 0.0551622
lambda = 5.0805e-05; f = 0.0551622
lambda = 1.6935e-05; f = 0.0551622
lambda = 5.645e-06; f = 0.0551622
lambda = 1.8817e-06; f = 0.0551622
lambda = 6.2723e-07; f = 0.0551622
lambda = 2.0908e-07; f = 0.0551622
lambda = 6.9692e-08; f = 0.0551622
lambda = 2.3231e-08; f = 0.0551622
lambda = 7.7435e-09; f = 0.0551622
lambda = 2.5812e-09; f = 0.0551622
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 0.0551622
Norm of dx 0.00063997
Predicted improvement: 0.000019803
lambda = 1; f = 0.0551421
Norm of dx 7.0771e-05
Done for param eG = 0.0035; f = 0.0551
Predicted improvement: 0.000038125
lambda = 1; f = 0.0551088
Norm of dx 0.0054192
Done for param rhho_G = 0.8738; f = 0.0551
Sequence of univariate steps!!
Actual dxnorm 0.0062712
FVAL 0.055109
Improvement 7.021e-05
Ftol 1e-05
Htol 1e-05
Elapsed time for iteration 0.52103 s.
Iteration 7
Correct for low angle: 0.00228248
Predicted improvement: 0.019042624
lambda = 1; f = 0.0554652
lambda = 0.33333; f = 0.0551244
lambda = 0.11111; f = 0.0551088
lambda = 0.037037; f = 0.0701299
lambda = 0.012346; f = 0.0572866
lambda = 0.0041152; f = 0.0552715
lambda = 0.0013717; f = 0.0550925
Norm of dx 1.547
Predicted improvement: 0.000073226
lambda = 1; f = 0.0549205
lambda = 1.9332; f = 0.0551260
lambda = 1.3017; f = 0.0549238
lambda = 1.6503; f = 0.0549934
Norm of dx 0.01488
Predicted improvement: 0.000027072
lambda = 1; f = 0.0548934
Norm of dx 4.9069e-06
Done for param eA = 0.0061; f = 0.0549
Predicted improvement: 0.000066870
lambda = 1; f = 0.0548246
Norm of dx 0.00011315
Done for param eG = 0.0031; f = 0.0548
Predicted improvement: 0.000035528
lambda = 1; f = 0.0548246
lambda = 0.33333; f = 0.0548246
lambda = 0.11111; f = 0.0548246
lambda = 0.037037; f = 0.0548246
lambda = 0.012346; f = 0.0548246
lambda = 0.0041152; f = 0.0548246
lambda = 0.0013717; f = 0.0548246
lambda = 0.00045725; f = 0.0548246
lambda = 0.00015242; f = 0.0548246
lambda = 5.0805e-05; f = 0.0548246
lambda = 1.6935e-05; f = 0.0548246
lambda = 5.645e-06; f = 0.0548246
lambda = 1.8817e-06; f = 0.0548246
lambda = 6.2723e-07; f = 0.0548246
lambda = 2.0908e-07; f = 0.0548246
lambda = 6.9692e-08; f = 0.0548246
lambda = 2.3231e-08; f = 0.0548246
lambda = 7.7435e-09; f = 0.0548246
lambda = 2.5812e-09; f = 0.0548246
Norm of dx 5.0004e-07
Done for param betta = 0.9900; f = 0.0548
Predicted improvement: 0.000011602
lambda = 1; f = 0.0548131
Norm of dx 4.2188e-05
Done for param rhho_A = 0.9572; f = 0.0548
Predicted improvement: 0.000022588
lambda = 1; f = 0.0547923
Norm of dx 0.0028831
Done for param rhho_G = 0.8936; f = 0.0548
Sequence of univariate steps!!
Actual dxnorm 0.019886
FVAL 0.054792
Improvement 0.00031656
Ftol 1e-05
Htol 1e-05
Elapsed time for iteration 0.56789 s.
Iteration 8
Correct for low angle: -0.00956304
Predicted improvement: 0.000838389
lambda = 1; f = 0.0547923
lambda = 0.33333; f = 0.0547923
lambda = 0.11111; f = 0.1233855
lambda = 0.037037; f = 0.0627804
lambda = 0.012346; f = 0.0556833
lambda = 0.0041152; f = 0.0548875
lambda = 0.0013717; f = 0.0548014
lambda = 0.00045725; f = 0.0547928
lambda = 0.00015242; f = 0.0547922
Norm of dx 0.18861
Predicted improvement: 0.000043700
lambda = 1; f = 0.0547475
Norm of dx 9.1487e-05
Done for param eG = 0.0031; f = 0.0547
Predicted improvement: 0.000038075
lambda = 1; f = 0.0547134
Norm of dx 0.0036415
Done for param rhho_G = 0.8973; f = 0.0547
Sequence of univariate steps!!
Actual dxnorm 0.003614
FVAL 0.054713
Improvement 7.8894e-05
Ftol 1e-05
Htol 1e-05
Elapsed time for iteration 0.34875 s.
Iteration 9
Predicted improvement: 0.000895925
lambda = 1; f = 0.0637920
lambda = 0.33333; f = 0.0571215
lambda = 0.11111; f = 0.0550274
lambda = 0.037037; f = 0.0547142
lambda = 0.012346; f = 0.0546993
Norm of dx 0.068247
Predicted improvement: 0.000460061
lambda = 1; f = 0.0574242
lambda = 0.33333; f = 0.0549152
lambda = 0.11111; f = 0.0546816
lambda = 0.037037; f = 0.0546829
Norm of dx 0.0064904
Predicted improvement: 0.000012981
lambda = 1; f = 0.0546686
Norm of dx 4.4499e-05
Done for param rhho_A = 0.9572; f = 0.0547
Predicted improvement: 0.000045821
lambda = 1; f = 0.0546282
Norm of dx 0.0038762
Done for param rhho_G = 0.9010; f = 0.0546
Sequence of univariate steps!!
Actual dxnorm 0.003749
FVAL 0.054628
Improvement 8.5162e-05
Ftol 1e-05
Htol 1e-05
Elapsed time for iteration 0.32987 s.
Iteration 10
Correct for low angle: 0.000255189
Predicted improvement: 0.001271243
lambda = 1; f = 0.1510551
lambda = 0.33333; f = 0.0672635
lambda = 0.11111; f = 0.0560019
lambda = 0.037037; f = 0.0547258
lambda = 0.012346; f = 0.0546186
Norm of dx 0.059968
Predicted improvement: 0.000060931
lambda = 1; f = 0.0559351
lambda = 0.33333; f = 0.0548616
lambda = 0.11111; f = 0.0546655
lambda = 0.037037; f = 0.0546298
lambda = 0.012346; f = 0.0546218
lambda = 0.0041152; f = 0.0546196
lambda = 0.0013717; f = 0.0546189
lambda = 0.00045725; f = 0.0546187
lambda = 0.00015242; f = 0.0546186
lambda = 5.0805e-05; f = 0.0546186
lambda = 1.6935e-05; f = 0.0546186
lambda = 5.645e-06; f = 0.0546186
lambda = 1.8817e-06; f = 0.0546186
lambda = 6.2723e-07; f = 0.0546186
lambda = 2.0908e-07; f = 0.0546186
lambda = 6.9692e-08; f = 0.0546186
lambda = 2.3231e-08; f = 0.0546186
lambda = 7.7435e-09; f = 0.0546186
lambda = 2.5812e-09; f = 0.0546186
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 0.0546186
Norm of dx 0.020381
Sequence of univariate steps!!
Try diagonal Hessian
Predicted improvement: 0.000438990
lambda = 1; f = 0.0622768
lambda = 0.33333; f = 0.0557509
lambda = 0.11111; f = 0.0547617
lambda = 0.037037; f = 0.0546365
lambda = 0.012346; f = 0.0546211
lambda = 0.0041152; f = 0.0546190
lambda = 0.0013717; f = 0.0546187
lambda = 0.00045725; f = 0.0546186
lambda = 0.00015242; f = 0.0546186
lambda = 5.0805e-05; f = 0.0546186
lambda = 1.6935e-05; f = 0.0546186
lambda = 5.645e-06; f = 0.0546186
lambda = 1.8817e-06; f = 0.0546186
lambda = 6.2723e-07; f = 0.0546186
lambda = 2.0908e-07; f = 0.0546186
lambda = 6.9692e-08; f = 0.0546186
lambda = 2.3231e-08; f = 0.0546186
lambda = 7.7435e-09; f = 0.0546186
lambda = 2.5812e-09; f = 0.0546186
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 0.0546186
Norm of dx 0.019575
Try gradient direction
Predicted improvement: 0.003595151
lambda = 1; f = 0.7534646
lambda = 0.33333; f = 0.1405561
lambda = 0.11111; f = 0.0645454
lambda = 0.037037; f = 0.0557559
lambda = 0.012346; f = 0.0547530
lambda = 0.0041152; f = 0.0546361
lambda = 0.0013717; f = 0.0546214
lambda = 0.00045725; f = 0.0546192
lambda = 0.00015242; f = 0.0546188
lambda = 5.0805e-05; f = 0.0546187
lambda = 1.6935e-05; f = 0.0546186
lambda = 5.645e-06; f = 0.0546186
lambda = 1.8817e-06; f = 0.0546186
lambda = 6.2723e-07; f = 0.0546186
lambda = 2.0908e-07; f = 0.0546186
lambda = 6.9692e-08; f = 0.0546186
lambda = 2.3231e-08; f = 0.0546186
lambda = 7.7435e-09; f = 0.0546186
lambda = 2.5812e-09; f = 0.0546186
lambda =
-6.2723e-07
lambda = -6.2723e-07; f = 0.0546186
Norm of dx 0.00084796
No further improvement is possible!
Actual dxnorm 0.00074032
FVAL 0.054619
Improvement 9.6042e-06
Ftol 1e-05
Htol 1e-05
Gradient norm 8.4796
Minimum Hessian eigenvalue -491.4714
Maximum Hessian eigenvalue 292320.9152
Estimation successful.
Stage 2 Iteration 1: Value of minimized moment distance objective function: 0.0546186064.
Norm of First-order
Iteration Func-count Resnorm step optimality
0 6 0.0546186 0.565
1 12 0.0546186 0.0250094 0.565
2 18 0.0546186 0.00625236 0.565
3 24 0.0546186 0.00156309 0.565
4 30 0.0546186 0.000390772 0.565
5 36 0.0546166 9.76931e-05 0.0947
6 42 0.0546166 0.000195386 0.0947
7 48 0.0546166 4.88465e-05 0.0947
8 54 0.0546152 1.46131e-05 0.449
9 60 0.0546152 2.44233e-05 0.449
10 66 0.0546149 6.10582e-06 0.011
Local minimum possible.
lsqnonlin stopped because the final change in the sum of squares relative to
its initial value is less than the value of the function tolerance.
<stopping criteria details>
Stage 2 Iteration 2: Value of minimized moment distance objective function: 0.0546148739.
Computing standard errors using numerical derivatives of moments
[Warning: Cannot compute the Jacobian using finite differences for parameter betta - no standard errors available
The steadystate file did not compute the steady state
Check your priors or use a different optimizer.
]
[> In mom.standard_errors (line 104)
In mom.run (line 588)
In SMM.driver (line 654)
In dynare (line 310)]
[Warning: Matrix is singular, close to singular or badly scaled. Results may be inaccurate. RCOND = NaN.]
[> In mom.run (line 590)
In SMM.driver (line 654)
In dynare (line 310)
]
RESULTS FROM SMM ESTIMATION
parameters
Estimate s.d. t-stat
betta 0.9900 NaN NaN
rhho_A 0.9572 NaN NaN
rhho_G 0.9004 NaN NaN
standard deviation of shocks
Estimate s.d. t-stat
eA 0.0061 NaN NaN
eG 0.0029 NaN NaN
OPTIMIZATION PROBLEM!
(minus) the hessian matrix at the "mode" is not positive definite!
=> variance of the estimated parameters are not positive.
You should try to change the initial values of the parameters using
the estimated_params_init block, or use another optimization routine.
[Warning: The results below are most likely wrong!]
[> In check_hessian_at_the_mode (line 68)
In mom.run (line 653)
In SMM.driver (line 654)
In dynare (line 310)]
MINIMUM CHECK
Fval obtained by the optimization routine: 0.054615
Value of J-test statistic: 5.046414
p-value of J-test statistic: 0.888056
Comparison of matched data moments and model moments (SMM)
Moment Data Model
E[C_obs] 0.0017944 -0.0154405
E[Y_obs] 0.0012999 -0.0119099
E[I_obs] 0.0026040 -0.0160192
E[G_obs] 0.0008371 0.0014331
E[C_obs*C_obs] 0.0012089 0.0011195
E[Y_obs*Y_obs] 0.0010696 0.0010250
E[I_obs*I_obs] 0.0045744 0.0042333
E[G_obs*G_obs] 0.0053049 0.0000555
E[Y_obs*C_obs] 0.0010105 0.0010162
E[Y_obs*I_obs] 0.0020177 0.0019191
E[C_obs*I_obs] 0.0019133 0.0016446
E[G_obs*Y_obs] 0.0001157 0.0000325
E[G_obs*G_obs(-1)] -0.0000509 0.0000515
E[C_obs*C_obs(-1)] 0.0004157 0.0011161
E[I_obs*I_obs(-1)] 0.0012558 0.0039770
==== Method of Moments Estimation (SMM) Completed ====
Total computing time : 0h00m36s
Note: warning(s) encountered in MATLAB/Octave code