Undefined function 'ndim' for input arguments of type 'cell'. Warning: MATLAB did not appear to successfully set the search path. To recover for this session of MATLAB, type "restoredefaultpath;matlabrc". To find out how to avoid this warning the next time you start MATLAB, type "docsearch problem path" after recovering for this session. Warning: Duplicate directory name: C:\Program Files\MATLAB\R2015b\toolbox\local Undefined function or variable 'ndim'. Error in connector.internal.autostart.run >> dynare cn_amend_7obs.mod Configuring Dynare ... [mex] Generalized QZ. [mex] Sylvester equation solution. [mex] Kronecker products. [mex] Sparse kronecker products. [mex] Local state space iteration (second order). [mex] Bytecode evaluation. [mex] k-order perturbation solver. [mex] k-order solution simulation. [mex] Quasi Monte-Carlo sequence (Sobol). [mex] Markov Switching SBVAR. Using 64-bit preprocessor Starting Dynare (version 4.5.7). Starting preprocessing of the model file ... WARNING: in the 'steady_state_model' block, variable 'r' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'xgap' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'sgap' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'infl' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'inflwage' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'ynat' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'wnat' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'rrnat' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'qnat' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'wgap' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'yhat' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'qhat' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'what' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'diffg' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'diffynat' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'diffnu' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'diffa' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'diffr' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'nu' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'g' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'ur' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'endop' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'endow' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'erpr' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'chat' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'lnobs' is not assigned a value WARNING: in the 'steady_state_model' block, variable 'diffn' is not assigned a value Found 35 equation(s). Evaluating expressions...done Computing static model derivatives: - order 1 Computing dynamic model derivatives: - order 1 - order 2 Processing outputs ... done Preprocessing completed. STEADY-STATE RESULTS: r 0 xgap 0 sgap 0 infl 0 inflwage 0 ynat 0 wnat 0 rrnat 0 qnat 0 wgap 0 yhat 0 qhat 0 what 0 diffg 0 diffynat 0 diffnu 0 diffa 0 diffr 0 nu 0 g 0 mup 0.17 muw 0.21 ur 0 endop 0 endow 0 erpr 0 chat 0 ygrobs 0.0047 inflobs 0.0081 ffrobs 0.0143 rwagegrobs 0.0047 qgrobs 0.0047 cgrobs 0.0047 lnobs 0 diffn 0 EIGENVALUES: Modulus Real Imaginary 0 -0 0 0 -0 0 0 0 0 0 -0 0 1.578e-20 -1.578e-20 0 1.44e-19 1.44e-19 0 8.098e-16 -8.098e-16 0 0.3604 0.3604 0 0.45 0.45 0 0.45 0.45 0 0.5402 0.5402 0 0.5402 0.5402 0 0.62 0.62 0 0.7 0.7 0 0.7251 0.7088 0.1529 0.7251 0.7088 -0.1529 0.78 0.78 0 0.95 0.95 0 0.96 0.96 0 1 1 0 1.126 1.126 0 1.126 1.125 0.04988 1.126 1.125 -0.04988 1.152 1.152 0 2.289 2.289 0 2.812e+17 -2.812e+17 0 1.159e+48 1.159e+48 0 8.457e+48 8.457e+48 0 Inf Inf 0 Inf Inf 0 Inf -Inf 0 There are 11 eigenvalue(s) larger than 1 in modulus for 11 forward-looking variable(s) The rank condition is verified. You did not declare endogenous variables after the estimation/calib_smoother command. Initial value of the log posterior (or likelihood): 4728.9019 ----------------- f at the beginning of new iteration, -4728.9018896367 Predicted improvement: 3056.912686755 lambda = 1; f = -4728.5439581 lambda = 0.33333; f = -4728.8642523 lambda = 0.11111; f = -4728.8983502 lambda = 0.037037; f = -4728.9016518 lambda = 0.012346; f = -4728.9018781 lambda = 0.0041152; f = -4551.6082154 lambda = 0.0013717; f = -4727.9525980 lambda = 0.00045725; f = -4730.8434332 Norm of dx 0.78191 ---- Improvement on iteration 1 = 1.941543581 ----------------- f at the beginning of new iteration, -4730.8434332173 Predicted improvement: 4016.576310739 lambda = 1; f = -4730.0511572 lambda = 0.33333; f = -4730.7647277 lambda = 0.11111; f = -4730.8358369 lambda = 0.037037; f = -4730.8429182 lambda = 0.012346; f = -4730.8434318 lambda = 0.0041152; f = -4706.9196305 lambda = 0.0013717; f = -4736.5627753 Norm of dx 1.3635 ---- Improvement on iteration 2 = 5.719342121 ----------------- f at the beginning of new iteration, -4736.5627753382 Predicted improvement: 759.713005818 lambda = 1; f = -4736.5530914 lambda = 0.33333; f = -4736.5626641 lambda = 0.11111; f = -4336.3771705 lambda = 0.037037; f = -4756.6573286 Norm of dx 0.46738 ---- Improvement on iteration 3 = 20.094553277 ----------------- f at the beginning of new iteration, -4756.6573286148 Predicted improvement: 7249.562509026 lambda = 1; f = -4746.3589079 lambda = 0.33333; f = -4756.0254237 lambda = 0.11111; f = -4756.6444600 lambda = 0.037037; f = -4330.3885857 lambda = 0.012346; f = -4724.3119564 lambda = 0.0041152; f = -4782.7772621 Norm of dx 4.6135 ---- Improvement on iteration 4 = 26.119933506 ----------------- f at the beginning of new iteration, -4782.7772621213 Predicted improvement: 248.924207458 lambda = 1; f = -4782.7600950 lambda = 0.33333; f = -4782.7769862 lambda = 0.11111; f = -4769.3864896 lambda = 0.037037; f = -4795.5182282 Norm of dx 0.27234 ---- Improvement on iteration 5 = 12.740966036 ----------------- f at the beginning of new iteration, -4795.5182281576 Predicted improvement: 2175.283935291 lambda = 1; f = -4791.9305499 lambda = 0.33333; f = -4795.2078777 lambda = 0.11111; f = -4795.4964820 lambda = 0.037037; f = -4795.5175243 lambda = 0.012346; f = -4795.5182280 lambda = 0.0041152; f = -4801.1904173 Norm of dx 2.4718 ---- Improvement on iteration 6 = 5.672189098 ----------------- f at the beginning of new iteration, -4801.1904172554 Predicted improvement: 7.849918726 lambda = 1; f = -4804.7166074 lambda = 0.33333; f = -4804.8850968 lambda = 0.64439; f = -4805.9136633 Norm of dx 0.031617 ---- Improvement on iteration 7 = 4.723246059 ----------------- f at the beginning of new iteration, -4805.9136633145 Predicted improvement: 6.270264252 lambda = 1; f = -4800.6220250 lambda = 0.33333; f = -4807.8026715 Norm of dx 0.040009 ---- Improvement on iteration 8 = 1.889008211 ----------------- f at the beginning of new iteration, -4807.8026715256 Predicted improvement: 11.422118957 lambda = 1; f = -4807.8026715 lambda = 0.33333; f = -4809.6239326 lambda = 0.11111; f = -4809.6366429 lambda = 0.2148; f = -4810.1902264 Norm of dx 0.08775 ---- Improvement on iteration 9 = 2.387554913 ----------------- f at the beginning of new iteration, -4810.1902264390 Predicted improvement: 2.139915482 lambda = 1; f = -4811.6490908 Norm of dx 0.027787 ---- Improvement on iteration 10 = 1.458864409 ----------------- f at the beginning of new iteration, -4811.6490908481 Predicted improvement: 6.607990672 lambda = 1; f = -4809.2372064 lambda = 0.33333; f = -4814.2617273 Norm of dx 0.078365 ---- Improvement on iteration 11 = 2.612636428 ----------------- f at the beginning of new iteration, -4814.2617272763 Predicted improvement: 1.736825138 lambda = 1; f = -4816.5894047 Norm of dx 0.024235 ---- Improvement on iteration 12 = 2.327677386 ----------------- f at the beginning of new iteration, -4816.5894046621 Predicted improvement: 3.296151580 lambda = 1; f = -4818.9862819 Norm of dx 0.071677 ---- Improvement on iteration 13 = 2.396877194 ----------------- f at the beginning of new iteration, -4818.9862818564 Predicted improvement: 3.265639077 lambda = 1; f = -4822.2209905 Norm of dx 0.076126 ---- Improvement on iteration 14 = 3.234708666 ----------------- f at the beginning of new iteration, -4822.2209905220 Predicted improvement: 1.842023014 lambda = 1; f = -4824.3616380 Norm of dx 0.022284 ---- Improvement on iteration 15 = 2.140647479 ----------------- f at the beginning of new iteration, -4824.3616380012 Predicted improvement: 1.310821640 lambda = 1; f = -4826.0727285 Norm of dx 0.049225 ---- Improvement on iteration 16 = 1.711090468 ----------------- f at the beginning of new iteration, -4826.0727284693 Predicted improvement: 0.674492038 lambda = 1; f = -4826.7478342 Norm of dx 0.032525 ---- Improvement on iteration 17 = 0.675105693 ----------------- f at the beginning of new iteration, -4826.7478341626 Predicted improvement: 0.630631363 lambda = 1; f = -4827.4673978 Norm of dx 0.01937 ---- Improvement on iteration 18 = 0.719563663 ----------------- f at the beginning of new iteration, -4827.4673978255 Predicted improvement: 0.398828473 lambda = 1; f = -4828.0779934 lambda = 1.9332; f = -4828.2999921 Norm of dx 0.013235 ---- Improvement on iteration 19 = 0.832594282 ----------------- f at the beginning of new iteration, -4828.2999921079 Predicted improvement: 0.202788959 lambda = 1; f = -4828.6380630 lambda = 1.9332; f = -4828.8313946 Norm of dx 0.010525 ---- Improvement on iteration 20 = 0.531402466 ----------------- f at the beginning of new iteration, -4828.8313945742 Predicted improvement: 0.282519406 lambda = 1; f = -4829.2408578 lambda = 1.9332; f = -4829.3358610 Norm of dx 0.024738 ---- Improvement on iteration 21 = 0.504466432 ----------------- f at the beginning of new iteration, -4829.3358610065 Predicted improvement: 0.192442993 lambda = 1; f = -4829.6319655 lambda = 1.9332; f = -4829.7562698 Norm of dx 0.010843 ---- Improvement on iteration 22 = 0.420408797 ----------------- f at the beginning of new iteration, -4829.7562698032 Predicted improvement: 0.337736185 lambda = 1; f = -4830.2461068 lambda = 1.9332; f = -4830.3621981 Norm of dx 0.028299 ---- Improvement on iteration 23 = 0.605928255 ----------------- f at the beginning of new iteration, -4830.3621980584 Predicted improvement: 0.237222320 lambda = 1; f = -4830.7288916 lambda = 1.9332; f = -4830.8782786 Norm of dx 0.021309 ---- Improvement on iteration 24 = 0.516080516 ----------------- f at the beginning of new iteration, -4830.8782785745 Predicted improvement: 0.134403126 lambda = 1; f = -4831.1059640 lambda = 1.9332; f = -4831.2439065 lambda = 3.7372; f = -4831.3016144 Norm of dx 0.018468 ---- Improvement on iteration 25 = 0.423335798 ----------------- f at the beginning of new iteration, -4831.3016143722 Predicted improvement: 0.199136285 lambda = 1; f = -4831.6144976 lambda = 1.9332; f = -4831.7569107 Norm of dx 0.0063655 ---- Improvement on iteration 26 = 0.455296375 ----------------- f at the beginning of new iteration, -4831.7569107469 Predicted improvement: 0.171584767 lambda = 1; f = -4832.0412279 lambda = 1.9332; f = -4832.1928202 Norm of dx 0.033281 ---- Improvement on iteration 27 = 0.435909491 ----------------- f at the beginning of new iteration, -4832.1928202375 Predicted improvement: 0.278743290 lambda = 1; f = -4832.5992009 lambda = 1.9332; f = -4832.7226992 Norm of dx 0.047447 ---- Improvement on iteration 28 = 0.529878961 ----------------- f at the beginning of new iteration, -4832.7226991989 Predicted improvement: 0.117754047 lambda = 1; f = -4832.8994564 lambda = 1.9332; f = -4832.9601320 Norm of dx 0.0078243 ---- Improvement on iteration 29 = 0.237432818 ----------------- f at the beginning of new iteration, -4832.9601320173 Predicted improvement: 0.054664760 lambda = 1; f = -4833.0295804 Norm of dx 0.016578 ---- Improvement on iteration 30 = 0.069448360 ----------------- f at the beginning of new iteration, -4833.0295803771 Predicted improvement: 0.038396808 lambda = 1; f = -4833.0884373 lambda = 1.9332; f = -4833.1110509 Norm of dx 0.0085955 ---- Improvement on iteration 31 = 0.081470548 ----------------- f at the beginning of new iteration, -4833.1110509249 Predicted improvement: 0.050084210 lambda = 1; f = -4833.1984691 lambda = 1.9332; f = -4833.2569599 lambda = 3.7372; f = -4833.3052836 Norm of dx 0.017213 ---- Improvement on iteration 32 = 0.194232634 ----------------- f at the beginning of new iteration, -4833.3052835592 Predicted improvement: 0.115624422 lambda = 1; f = -4833.4788443 lambda = 1.9332; f = -4833.5430647 Norm of dx 0.021074 ---- Improvement on iteration 33 = 0.237781137 ----------------- f at the beginning of new iteration, -4833.5430646965 Predicted improvement: 0.071264359 lambda = 1; f = -4833.6318046 Norm of dx 0.042038 ---- Improvement on iteration 34 = 0.088739916 ----------------- f at the beginning of new iteration, -4833.6318046126 Predicted improvement: 0.024556986 lambda = 1; f = -4833.6664769 lambda = 1.9332; f = -4833.6729453 Norm of dx 0.010205 ---- Improvement on iteration 35 = 0.041140736 ----------------- f at the beginning of new iteration, -4833.6729453487 Predicted improvement: 0.013977138 lambda = 1; f = -4833.6970419 lambda = 1.9332; f = -4833.7124450 lambda = 3.7372; f = -4833.7227172 Norm of dx 0.0060621 ---- Improvement on iteration 36 = 0.049771829 ----------------- f at the beginning of new iteration, -4833.7227171776 Predicted improvement: 0.012549745 lambda = 1; f = -4833.7409532 lambda = 1.9332; f = -4833.7456134 Norm of dx 0.0043814 ---- Improvement on iteration 37 = 0.022896178 ----------------- f at the beginning of new iteration, -4833.7456133556 Predicted improvement: 0.003921305 lambda = 1; f = -4833.7523698 lambda = 1.9332; f = -4833.7566629 lambda = 3.7372; f = -4833.7594222 Norm of dx 0.0021383 ---- Improvement on iteration 38 = 0.013808830 ----------------- f at the beginning of new iteration, -4833.7594221855 Predicted improvement: 0.007480641 lambda = 1; f = -4833.7717280 lambda = 1.9332; f = -4833.7785265 Norm of dx 0.0028534 ---- Improvement on iteration 39 = 0.019104296 ----------------- f at the beginning of new iteration, -4833.7785264812 Predicted improvement: 0.009273262 lambda = 1; f = -4833.7921251 lambda = 1.9332; f = -4833.7959125 Norm of dx 0.0075892 ---- Improvement on iteration 40 = 0.017386036 ----------------- f at the beginning of new iteration, -4833.7959125168 Predicted improvement: 0.005020047 lambda = 1; f = -4833.8039576 lambda = 1.9332; f = -4833.8077607 Norm of dx 0.0050625 ---- Improvement on iteration 41 = 0.011848146 ----------------- f at the beginning of new iteration, -4833.8077606626 Predicted improvement: 0.002247534 lambda = 1; f = -4833.8110646 lambda = 1.9332; f = -4833.8119746 Norm of dx 0.0067129 ---- Improvement on iteration 42 = 0.004213943 ----------------- f at the beginning of new iteration, -4833.8119746052 Predicted improvement: 0.001698178 lambda = 1; f = -4833.8149391 lambda = 1.9332; f = -4833.8170031 lambda = 3.7372; f = -4833.8190769 Norm of dx 0.0010855 ---- Improvement on iteration 43 = 0.007102288 ----------------- f at the beginning of new iteration, -4833.8190768937 Predicted improvement: 0.003767764 lambda = 1; f = -4833.8254060 lambda = 1.9332; f = -4833.8292072 Norm of dx 0.0050077 ---- Improvement on iteration 44 = 0.010130298 ----------------- f at the beginning of new iteration, -4833.8292071919 Predicted improvement: 0.007111976 lambda = 1; f = -4833.8398167 lambda = 1.9332; f = -4833.8431532 Norm of dx 0.009457 ---- Improvement on iteration 45 = 0.013946031 ----------------- f at the beginning of new iteration, -4833.8431532231 Predicted improvement: 0.004294397 lambda = 1; f = -4833.8508351 lambda = 1.9332; f = -4833.8563056 lambda = 3.7372; f = -4833.8622315 Norm of dx 0.0023602 ---- Improvement on iteration 46 = 0.019078298 ----------------- f at the beginning of new iteration, -4833.8622315211 Predicted improvement: 0.007318792 lambda = 1; f = -4833.8741557 lambda = 1.9332; f = -4833.8803046 Norm of dx 0.0074764 ---- Improvement on iteration 47 = 0.018073062 ----------------- f at the beginning of new iteration, -4833.8803045832 Predicted improvement: 0.006516472 lambda = 1; f = -4833.8892935 Norm of dx 0.0089891 ---- Improvement on iteration 48 = 0.008988881 ----------------- f at the beginning of new iteration, -4833.8892934645 Predicted improvement: 0.004613432 lambda = 1; f = -4833.8962733 lambda = 1.9332; f = -4833.8988609 Norm of dx 0.0060564 ---- Improvement on iteration 49 = 0.009567390 ----------------- f at the beginning of new iteration, -4833.8988608546 Predicted improvement: 0.004730986 lambda = 1; f = -4833.9077325 lambda = 1.9332; f = -4833.9149713 lambda = 3.7372; f = -4833.9260537 lambda = 7.2247; f = -4833.9361301 Norm of dx 0.0041349 ---- Improvement on iteration 50 = 0.037269292 ----------------- f at the beginning of new iteration, -4833.9361301463 Predicted improvement: 0.008811456 lambda = 1; f = -4833.9473428 Norm of dx 0.0049459 ---- Improvement on iteration 51 = 0.011212687 ----------------- f at the beginning of new iteration, -4833.9473428332 Predicted improvement: 0.002538222 lambda = 1; f = -4833.9510451 lambda = 1.9332; f = -4833.9520195 Norm of dx 0.0054018 ---- Improvement on iteration 52 = 0.004676643 ----------------- f at the beginning of new iteration, -4833.9520194763 Predicted improvement: 0.001779480 lambda = 1; f = -4833.9551175 lambda = 1.9332; f = -4833.9572049 lambda = 3.7372; f = -4833.9590468 Norm of dx 0.0028084 ---- Improvement on iteration 53 = 0.007027282 ----------------- f at the beginning of new iteration, -4833.9590467583 Predicted improvement: 0.001528792 lambda = 1; f = -4833.9611063 Norm of dx 0.0072417 ---- Improvement on iteration 54 = 0.002059538 ----------------- f at the beginning of new iteration, -4833.9611062962 Predicted improvement: 0.000954861 lambda = 1; f = -4833.9625745 lambda = 1.9332; f = -4833.9631341 Norm of dx 0.003419 ---- Improvement on iteration 55 = 0.002027830 ----------------- f at the beginning of new iteration, -4833.9631341265 Predicted improvement: 0.000943243 lambda = 1; f = -4833.9649339 lambda = 1.9332; f = -4833.9664535 lambda = 3.7372; f = -4833.9689540 lambda = 7.2247; f = -4833.9721584 Norm of dx 0.0011278 ---- Improvement on iteration 56 = 0.009024302 ----------------- f at the beginning of new iteration, -4833.9721584281 Predicted improvement: 0.005524106 lambda = 1; f = -4833.9805845 lambda = 1.9332; f = -4833.9838031 Norm of dx 0.0072157 ---- Improvement on iteration 57 = 0.011644707 ----------------- f at the beginning of new iteration, -4833.9838031352 Predicted improvement: 0.002291031 lambda = 1; f = -4833.9870498 lambda = 1.9332; f = -4833.9877426 Norm of dx 0.0063846 ---- Improvement on iteration 58 = 0.003939474 ----------------- f at the beginning of new iteration, -4833.9877426094 Predicted improvement: 0.000752712 lambda = 1; f = -4833.9891167 lambda = 1.9332; f = -4833.9901444 lambda = 3.7372; f = -4833.9914385 Norm of dx 0.0017261 ---- Improvement on iteration 59 = 0.003695931 ----------------- f at the beginning of new iteration, -4833.9914385399 Predicted improvement: 0.003164212 lambda = 1; f = -4833.9969863 lambda = 1.9332; f = -4834.0007411 lambda = 3.7372; f = -4834.0042604 Norm of dx 0.0060823 ---- Improvement on iteration 60 = 0.012821825 ----------------- f at the beginning of new iteration, -4834.0042603651 Predicted improvement: 0.005514311 lambda = 1; f = -4834.0121716 lambda = 1.9332; f = -4834.0130752 Norm of dx 0.012706 ---- Improvement on iteration 61 = 0.008814879 ----------------- f at the beginning of new iteration, -4834.0130752437 Predicted improvement: 0.005306178 lambda = 1; f = -4834.0154803 lambda = 0.33333; f = -4834.0156624 lambda = 0.64439; f = -4834.0164229 Norm of dx 0.019963 ---- Improvement on iteration 62 = 0.003347699 ----------------- f at the beginning of new iteration, -4834.0164229424 Predicted improvement: 0.000425175 lambda = 1; f = -4834.0171043 lambda = 1.9332; f = -4834.0174382 Norm of dx 0.003298 ---- Improvement on iteration 63 = 0.001015258 ----------------- f at the beginning of new iteration, -4834.0174382000 Predicted improvement: 0.000331023 lambda = 1; f = -4834.0179484 lambda = 1.9332; f = -4834.0181275 Norm of dx 0.0025414 ---- Improvement on iteration 64 = 0.000689310 ----------------- f at the beginning of new iteration, -4834.0181275103 Predicted improvement: 0.000264255 lambda = 1; f = -4834.0186247 lambda = 1.9332; f = -4834.0190253 lambda = 3.7372; f = -4834.0196257 lambda = 7.2247; f = -4834.0201369 Norm of dx 0.0013247 ---- Improvement on iteration 65 = 0.002009374 ----------------- f at the beginning of new iteration, -4834.0201368843 Predicted improvement: 0.000795861 lambda = 1; f = -4834.0214421 lambda = 1.9332; f = -4834.0221878 Norm of dx 0.0020025 ---- Improvement on iteration 66 = 0.002050947 ----------------- f at the beginning of new iteration, -4834.0221878310 Predicted improvement: 0.000469845 lambda = 1; f = -4834.0226717 Norm of dx 0.003052 ---- Improvement on iteration 67 = 0.000483824 ----------------- f at the beginning of new iteration, -4834.0226716551 Predicted improvement: 0.000042401 lambda = 1; f = -4834.0227384 lambda = 1.9332; f = -4834.0227781 Norm of dx 0.00062838 ---- Improvement on iteration 68 = 0.000106438 ----------------- f at the beginning of new iteration, -4834.0227780933 Predicted improvement: 0.000109868 lambda = 1; f = -4834.0229570 lambda = 1.9332; f = -4834.0230614 Norm of dx 0.0010828 ---- Improvement on iteration 69 = 0.000283301 ----------------- f at the beginning of new iteration, -4834.0230613940 Predicted improvement: 0.000223283 lambda = 1; f = -4834.0234129 lambda = 1.9332; f = -4834.0235643 Norm of dx 0.0014657 ---- Improvement on iteration 70 = 0.000502857 ----------------- f at the beginning of new iteration, -4834.0235642510 Predicted improvement: 0.000122745 lambda = 1; f = -4834.0237465 lambda = 1.9332; f = -4834.0237751 Norm of dx 0.0012263 ---- Improvement on iteration 71 = 0.000210857 ----------------- f at the beginning of new iteration, -4834.0237751076 Predicted improvement: 0.000015393 lambda = 1; f = -4834.0237865 Norm of dx 0.00046447 ---- Improvement on iteration 72 = 0.000011400 ----------------- f at the beginning of new iteration, -4834.0237865071 Predicted improvement: 0.000000713 lambda = 1; f = -4834.0237874 Norm of dx 4.5703e-05 ---- Improvement on iteration 73 = 0.000000905 ----------------- f at the beginning of new iteration, -4834.0237874119 Predicted improvement: 0.000007825 lambda = 1; f = -4834.0237940 Norm of dx 0.0003212 ---- Improvement on iteration 74 = 0.000006637 ----------------- f at the beginning of new iteration, -4834.0237940492 Predicted improvement: 0.000003960 lambda = 1; f = -4834.0237973 Norm of dx 0.0001509 ---- Improvement on iteration 75 = 0.000003205 ----------------- f at the beginning of new iteration, -4834.0237972540 Predicted improvement: 0.000002066 lambda = 1; f = -4834.0237988 Norm of dx 0.00013055 ---- Improvement on iteration 76 = 0.000001515 ----------------- f at the beginning of new iteration, -4834.0237987693 Predicted improvement: 0.000000184 lambda = 1; f = -4834.0237992 lambda = 1.9332; f = -4834.0237994 lambda = 3.7372; f = -4834.0237989 lambda = 2.5164; f = -4834.0237994 Norm of dx 5.649e-05 ---- Improvement on iteration 77 = 0.000000640 ----------------- f at the beginning of new iteration, -4834.0237994093 Predicted improvement: 0.000000098 lambda = 1; f = -4834.0237994 lambda = 0.33333; f = -4834.0237994 lambda = 0.11111; f = -4834.0237994 Norm of dx 4.1217e-05 ---- Improvement on iteration 78 = 0.000000018 improvement < crit termination Final value of minus the log posterior (or likelihood):-4834.023799 MODE CHECK Fval obtained by the minimization routine (minus the posterior/likelihood)): -4834.023799 RESULTS FROM POSTERIOR ESTIMATION parameters prior mean mode s.d. prior pstdev xi 0.500 0.0965 0.0282 unif 0.2800 hbar 0.800 0.8399 0.0200 beta 0.0500 thetap 0.750 0.7151 0.0358 beta 0.0500 thetaw 0.750 0.6189 0.0443 beta 0.0500 omegabar 0.500 0.1102 0.0512 beta 0.1500 eta 0.500 0.2945 0.0654 beta 0.1500 phip 1.000 1.6273 0.1271 gamm 0.2500 phix 0.500 0.0137 0.0080 gamm 0.2500 phis 0.000 0.0917 0.0253 norm 0.2500 phir 0.700 0.7265 0.0340 beta 0.1000 delta 1.400 1.1364 0.3060 gamm 1.0000 mupss 0.200 0.1987 0.0470 gamm 0.0500 muwss 0.200 0.2513 0.0526 gamm 0.0500 rhog 0.500 0.9675 0.0070 beta 0.2000 rhonu 0.500 0.0522 0.0381 beta 0.2000 rhoa 0.500 0.2613 0.0642 beta 0.2000 rhor 0.500 0.0640 0.0441 beta 0.2000 rhomup 0.500 0.8713 0.0392 beta 0.2000 chip 0.600 0.6896 0.0747 beta 0.1500 chiw 0.600 0.8688 0.0312 beta 0.1500 rhoerpr 0.500 0.8851 0.0410 beta 0.2000 standard deviation of shocks prior mean mode s.d. prior pstdev epsa 0.010 0.0093 0.0005 invg 2.0000 epsg 0.010 0.0105 0.0005 invg 2.0000 epsnu 0.010 0.0321 0.0044 invg 2.0000 epsr 0.010 0.0030 0.0002 invg 2.0000 epsmup 0.010 0.0833 0.0247 invg 2.0000 epsmuw 0.010 0.5072 0.1987 invg 2.0000 epsrpr 0.010 0.0068 0.0021 invg 2.0000 epsmesp 0.010 0.0642 0.0057 invg 2.0000 Log data density [Laplace approximation] is 4736.886271. You did not declare endogenous variables after the estimation/calib_smoother command. Posterior IRFs, smoothed variables will be computed for the 35 endogenous variables of your model, this can be very long.... Choose one of the following options: [1] Consider all the endogenous variables. [2] Consider all the observed endogenous variables. [3] Stop Dynare and change the mod file. options [default is 1] = Error using load Unable to read file 'cn_fsample_mode'. No such file or directory. Error in dynare_estimation_init (line 167) mode_file = load(options_.mode_file); Error in dynare_estimation_1 (line 116) dynare_estimation_init(var_list_, dname, [], M_, options_, oo_, estim_params_, bayestopt_); Error in dynare_estimation (line 105) dynare_estimation_1(var_list,dname); Error in cn_amend_7obs (line 463) oo_recursive_=dynare_estimation(var_list_); Error in dynare (line 235) evalin('base',fname) ;