how to deal with convergence problem in using dynare
Posted: Thu Jun 25, 2009 4:16 pm
Dear all,
When I was running DYNARE V3, I have come across following error message:
SOLVE: Iteration 33
Spurious convergence.
1.0000
1.0000
0.7015
0.0430
0.8163
0.8598
3.0000
0.4624
0.4733
5.4805
4.9157
1.7596
9.5986
-0.7621
-0.0040
0.6362
1.9497
-0.0002
0
0
0
0
0
0
0
0
0
0
-0.0849
14.2835
0.0262
0.0267
-0.0014
2.6541
1.3738
4.0283
0.9109
0.8166
0.1911
0.1003
2.0000
1.0323
1.0375
0.9980
1.5233
9.4447
15.4134
0.7592
-5.8904
2.2095
-0.0012
-0.0003
-0.0012
1.0800
-0.0012
-0.0012
3.9662
2.1356
0.6000
0.4550
4.4783
2.2752
0.3600
2.3543
0.2478
0.4059
1.0000
1.0000
0.3162
-0.0004
2.8341
-0.0001
3.7483
1.8373
0.0105
0.3154
0.2050
1.6899
2.4907
1.5398
4.0292
1.8360
1.0853
1.0300
1.0000
1.0000
9.2485
0.4555
1.0797
1.9945
1.0000
0.7214
-0.8406
0.7673
1.2834
0.9183
0.9183
0.1300
0.1333
0.0240
0.1361
0.1069
1.0300
1.0000
0
0
0
0
0
0
0
0
0
0
SOLVE: Iteration 485
Spurious convergence.
1.0e+003 *
0.0010
0.0010
0.0007
0.0000
0.0008
0.0009
1.3013
0.0005
0.0005
0.0055
0.0049
0.0018
0.0096
-0.0008
-0.0000
0.0006
0.0019
-0.0000
-0.0000
-0.0000
0.0000
-0.0000
-0.0000
-0.0000
0.0000
0.0000
0.0000
-0.0000
-0.0001
0.0143
0.0000
0.0000
-0.0000
0.0027
0.0014
0.0040
0.0009
0.0008
0.0002
0.0001
-0.0105
0.0010
0.0010
0.0010
0.0015
0.0094
0.0154
0.0008
-0.0059
0.0022
-0.0000
-0.0000
-0.0000
-0.0000
-0.0000
-0.0000
0.0040
0.0021
0.0006
0.0005
0.0045
0.0023
0.0010
0.0024
0.0002
0.0004
0.0010
0.0010
0.0003
-0.0000
0.0028
-0.0000
0.0037
0.0018
0.0000
0.0003
0.0002
0.0017
0.0025
0.0015
0.0040
0.0018
0.0011
0.0010
0.0010
0.0010
0.0092
0.0005
0.0011
0.0020
0.0010
0.0007
-0.0008
0.0008
0.0015
0.0009
0.0009
0.0001
0.0001
0.0000
0.0001
0.0001
0.0010
0.0010
-0.0000
-0.0000
-0.0000
-0.0000
-0.0000
-0.0000
-0.0000
-0.0000
-0.0000
-0.0000
??? Error using ==> steady_
STEADY: convergence problems
Error in ==> steady at 13
steady_;
Error in ==> mn20090 at 846
steady;
Error in ==> dynare at 49
evalin('base',fname) ;
Can anyone tell me what reason cause the model does not converge? Many thanks and very appreciated.
Best,
Jing
please find soft and data
When I was running DYNARE V3, I have come across following error message:
SOLVE: Iteration 33
Spurious convergence.
1.0000
1.0000
0.7015
0.0430
0.8163
0.8598
3.0000
0.4624
0.4733
5.4805
4.9157
1.7596
9.5986
-0.7621
-0.0040
0.6362
1.9497
-0.0002
0
0
0
0
0
0
0
0
0
0
-0.0849
14.2835
0.0262
0.0267
-0.0014
2.6541
1.3738
4.0283
0.9109
0.8166
0.1911
0.1003
2.0000
1.0323
1.0375
0.9980
1.5233
9.4447
15.4134
0.7592
-5.8904
2.2095
-0.0012
-0.0003
-0.0012
1.0800
-0.0012
-0.0012
3.9662
2.1356
0.6000
0.4550
4.4783
2.2752
0.3600
2.3543
0.2478
0.4059
1.0000
1.0000
0.3162
-0.0004
2.8341
-0.0001
3.7483
1.8373
0.0105
0.3154
0.2050
1.6899
2.4907
1.5398
4.0292
1.8360
1.0853
1.0300
1.0000
1.0000
9.2485
0.4555
1.0797
1.9945
1.0000
0.7214
-0.8406
0.7673
1.2834
0.9183
0.9183
0.1300
0.1333
0.0240
0.1361
0.1069
1.0300
1.0000
0
0
0
0
0
0
0
0
0
0
SOLVE: Iteration 485
Spurious convergence.
1.0e+003 *
0.0010
0.0010
0.0007
0.0000
0.0008
0.0009
1.3013
0.0005
0.0005
0.0055
0.0049
0.0018
0.0096
-0.0008
-0.0000
0.0006
0.0019
-0.0000
-0.0000
-0.0000
0.0000
-0.0000
-0.0000
-0.0000
0.0000
0.0000
0.0000
-0.0000
-0.0001
0.0143
0.0000
0.0000
-0.0000
0.0027
0.0014
0.0040
0.0009
0.0008
0.0002
0.0001
-0.0105
0.0010
0.0010
0.0010
0.0015
0.0094
0.0154
0.0008
-0.0059
0.0022
-0.0000
-0.0000
-0.0000
-0.0000
-0.0000
-0.0000
0.0040
0.0021
0.0006
0.0005
0.0045
0.0023
0.0010
0.0024
0.0002
0.0004
0.0010
0.0010
0.0003
-0.0000
0.0028
-0.0000
0.0037
0.0018
0.0000
0.0003
0.0002
0.0017
0.0025
0.0015
0.0040
0.0018
0.0011
0.0010
0.0010
0.0010
0.0092
0.0005
0.0011
0.0020
0.0010
0.0007
-0.0008
0.0008
0.0015
0.0009
0.0009
0.0001
0.0001
0.0000
0.0001
0.0001
0.0010
0.0010
-0.0000
-0.0000
-0.0000
-0.0000
-0.0000
-0.0000
-0.0000
-0.0000
-0.0000
-0.0000
??? Error using ==> steady_
STEADY: convergence problems
Error in ==> steady at 13
steady_;
Error in ==> mn20090 at 846
steady;
Error in ==> dynare at 49
evalin('base',fname) ;
Can anyone tell me what reason cause the model does not converge? Many thanks and very appreciated.
Best,
Jing
please find soft and data