gretl version 1.9.1 Current session: 2010-11-08 23:29 ? set echo on ? set halt_on_error off ? set force_hc off ? set hac_prewhiten off ? set hac_lag 12 ? set hac_kernel bartlett ? set bfgs_toler 1e-18 ? smpl 1977:3 2008:4 Full data range: 1947:1 - 2010:2 (n = 254) Current sample: 1977:3 - 2008:4 (n = 126) ? series e = 0 Replaced series e (ID 19) ? list inst = const Replaced list inst ? loop foreach i d_l_LS d_l_Hwage r_l_RGDP > inst = inst $i(-1) $i(-2) $i(-3) $i(-4) > endloop ? inst = inst d_l_LS(-1) d_l_LS(-2) d_l_LS(-3) d_l_LS(-4) ? inst = inst d_l_Hwage(-1) d_l_Hwage(-2) d_l_Hwage(-3) d_l_Hwage(-4) ? inst = inst r_l_RGDP(-1) r_l_RGDP(-2) r_l_RGDP(-3) r_l_RGDP(-4) Number of iterations: 3 ? loop foreach i d_l_ma_HR d_l_I_K > inst = inst $i(-1) $i(-2) $i(-3) > endloop ? inst = inst d_l_ma_HR(-1) d_l_ma_HR(-2) d_l_ma_HR(-3) ? inst = inst d_l_I_K(-1) d_l_I_K(-2) d_l_I_K(-3) Number of iterations: 2 ? loop foreach i d_l_GDPDef > inst = inst $i(-1) $i(-2) $i(-3) $i(-4) > endloop ? inst = inst d_l_GDPDef(-1) d_l_GDPDef(-2) d_l_GDPDef(-3) d_l_GDPDef(-4) Number of iterations: 1 ? matrix Z = { inst } Replaced matrix Z ? matrix V1 = $nobs*inv(Z'Z) Replaced matrix V1 ? matrix V0 = 1000*I(nelem(inst)) Replaced matrix V0 ? scalar b_f = 0 Replaced scalar b_f = 0 ? scalar b_ls = 0 Replaced scalar b_ls = 0 ? scalar b_b = 0 Replaced scalar b_b = 0 ? scalar b_hr = 0 Replaced scalar b_hr = 0 ? scalar b_hr_b = 0 Replaced scalar b_hr_b = 0 ? scalar b_hr_f = 0 Replaced scalar b_hr_f = 0 ? scalar b_ik = 0 Replaced scalar b_ik = 0 ? V = V0 Replaced matrix V ? gmm e = d_l_GDPDef - (b_f*d_l_GDPDef(1) + b_ls*d_l_LS + b_hr*d_l_ma_HR + \ b_ik*d_l_I_K ) ? orthog e; inst ? weights V ? params b_f b_ls b_hr b_ik ? end gmm --iterate Tolerance = 1e-018 Function evaluations: 183 Evaluations of gradient: 13 Model 23: Iterated GMM, using observations 1977:3-2007:1 (T = 119) e = d_l_GDPDef - (b_f*d_l_GDPDef(1) + b_ls*d_l_LS + b_hr*d_l_ma_HR + b_ik*d_l_I_K ) HAC standard errors, bandwidth 12 (Bartlett kernel) estimate std. error z p-value ------------------------------------------------------ b_f 0.922018 0.0121410 75.94 0.0000 *** b_ls 0.194134 0.0356694 5.443 5.25e-08 *** b_hr -0.0266812 0.0109919 -2.427 0.0152 ** b_ik 0.0258011 0.00706176 3.654 0.0003 *** GMM criterion: Q = 0.0700046 (TQ = 8.33055) J test: Chi-square(19) = 8.33055 [0.9830] ? scalar b_f = 0 Replaced scalar b_f = 0 ? scalar b_ls = 0 Replaced scalar b_ls = 0 ? scalar b_b = 0 Replaced scalar b_b = 0 ? scalar b_hr = 0 Replaced scalar b_hr = 0 ? scalar b_hr_b = 0 Replaced scalar b_hr_b = 0 ? scalar b_hr_f = 0 Replaced scalar b_hr_f = 0 ? scalar b_ik = 0 Replaced scalar b_ik = 0 ? V = V0 Replaced matrix V ? gmm e = d_l_GDPDef - (b_f*d_l_GDPDef(1) + b_ls*d_l_LS + b_ik*d_l_I_K) ? orthog e; inst ? weights V ? params b_f b_ls b_ik ? end gmm --iterate Tolerance = 1e-018 Function evaluations: 59 Evaluations of gradient: 7 Model 24: Iterated GMM, using observations 1977:3-2007:1 (T = 119) e = d_l_GDPDef - (b_f*d_l_GDPDef(1) + b_ls*d_l_LS + b_ik*d_l_I_K) HAC standard errors, bandwidth 12 (Bartlett kernel) estimate std. error z p-value ----------------------------------------------------- b_f 0.937785 0.00970525 96.63 0.0000 *** b_ls 0.186822 0.0322290 5.797 6.76e-09 *** b_ik 0.0205652 0.00609464 3.374 0.0007 *** GMM criterion: Q = 0.0728019 (TQ = 8.66343) J test: Chi-square(20) = 8.66343 [0.9865] ? scalar b_f = 0 Replaced scalar b_f = 0 ? scalar b_ls = 0 Replaced scalar b_ls = 0 ? scalar b_b = 0 Replaced scalar b_b = 0 ? scalar b_hr = 0 Replaced scalar b_hr = 0 ? scalar b_hr_b = 0 Replaced scalar b_hr_b = 0 ? scalar b_hr_f = 0 Replaced scalar b_hr_f = 0 ? scalar b_ik = 0 Replaced scalar b_ik = 0 ? V = V0 Replaced matrix V ? gmm e = d_l_GDPDef - (b_f*d_l_GDPDef(1) + b_ls*d_l_LS + b_hr*d_l_ma_HR + \ b_ik*d_l_I_K + b_hr_b*d_l_ma_HR(-1)) ? orthog e; inst ? weights V ? params b_f b_ls b_hr b_hr_b b_ik ? end gmm --iterate Tolerance = 1e-018