ML3 - Software for three-level analysis. Thu Feb 16 23:39:46 1995 response "logearnX" maxi 500 tole 3 calc c105 = c5*c5 name c105 'exp2' calc c101 = 'gross_d'*'edu'*'sex' name c101 'g_edusex' calc c24 = 'gross_d'*'edu' calc c25 = 'gross_d'*'exp' calc c26 = 'gross_d'*'cpc' calc c27 = 'gross_d'*'sex' name c24 'g_edu' c25 'G_exp' c26 'G_cpc' c27 'G_sex' summary 55 level 2 units 15588 level 1 units ID2: 1101 1401 1402 1403 1404 1405 1427 2101 2102 2106 N : 807 377 330 206 199 198 177 619 612 179 % : 5.2 2.4 2.1 1.3 1.3 1.3 1.1 4 3.9 1.1 ID2: 2107 3201 3202 3203 3204 3206 3208 3209 3210 3401 N : 366 523 438 337 173 194 103 90 290 408 % : 2.3 3.4 2.8 2.2 1.1 1.2 0.66 0.58 1.9 2.6 ID2: 3402 3403 3404 3408 3421 3427 4101 4102 4103 4104 N : 169 180 359 290 73 84 383 190 361 179 % : 1.1 1.2 2.3 1.9 0.47 0.54 2.5 1.2 2.3 1.1 ID2: 4105 4107 4128 4129 4201 4202 4203 4204 4222 4401 N : 275 265 124 103 645 193 194 203 190 531 % : 1.8 1.7 0.8 0.66 4.1 1.2 1.2 1.3 1.2 3.4 ID2: 4402 4403 4405 4406 4408 4425 4428 5301 5302 5322 N : 180 199 89 305 188 203 199 566 145 79 % : 1.2 1.3 0.57 2 1.2 1.3 1.3 3.6 0.93 0.51 ID2: 5324 5325 5329 5330 6200 N : 184 188 178 187 1081 % : 1.2 1.2 1.1 1.2 6.9 calc c55='edu'*'sex' name c55 'eduL_sex' note Variance components model explanatory "cons" "edu" "exp" "exp2" "cpc" "sex" 'eduL_sex' setv 1 'cons' setv 2 'cons' sett EXPLanatory variables in CONS EDU EXP EXP2 CPC FPARameters CONS EDU EXP EXP2 CPC FMEAns RMEAns RESPonse variable in LOGEARNX IDENtifying codes for level 1: ID level 2: GEO level 3: RESEtting covariances level 1: ON level 2: ON level 3: ON MAXIterations 500 TOLErance 3 METHod is IGLS BATCh is ON LEVEL 3 RANDOM PARAMETER MATRIX unspecified LEVEL 2 RANDOM PARAMETER MATRIX CONS CONS 1 LEVEL 1 RANDOM PARAMETER MATRIX CONS CONS 1 start Iteration number 1 in progress Iteration number 1 completed Iteration number 2 in progress Iteration number 2 completed Iteration number 3 in progress Iteration number 3 completed Iteration number 4 in progress Iteration number 4 completed Convergence achieved fixed PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE CONS 0.6415 0.02164 0.6415 EDU -0.005549 0.0009411 -0.005549 EXP 0.007121 0.0007376 0.007121 EXP2 -0.0002707 0.00001747 -0.0002707 CPC 0.004792 0.005291 0.004792 SEX -0.1048 0.01457 -0.1048 EDUL_SEX 0.007896 0.001311 0.007896 random LEVEL 3 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV LEVEL 2 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.01643 0.003192 0.01643 1 LEVEL 1 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.06153 0.0006982 0.06153 2 like -2*log(lh) is 1003.21 note Random Coefficients model with certain covariance clrv 2 sete 2 "cons" "cons" sete 2 "edu" "edu" sete 2 "exp" "exp" sete 2 "cpc" "cpc" sete 2 "sex" "sex" sett EXPLanatory variables in CONS EDU EXP EXP2 CPC FPARameters CONS EDU EXP EXP2 CPC FMEAns RMEAns RESPonse variable in LOGEARNX IDENtifying codes for level 1: ID level 2: GEO level 3: RESEtting covariances level 1: ON level 2: ON level 3: ON MAXIterations 500 TOLErance 3 METHod is IGLS BATCh is ON LEVEL 3 RANDOM PARAMETER MATRIX unspecified LEVEL 2 RANDOM PARAMETER MATRIX CONS EDU EXP CPC SEX CONS 1 EDU 0 1 EXP 0 0 1 CPC 0 0 0 1 SEX 0 0 0 0 1 LEVEL 1 RANDOM PARAMETER MATRIX CONS CONS 1 start Iteration number 1 in progress Iteration number 1 completed Iteration number 2 in progress Iteration number 2 completed Iteration number 3 in progress Iteration number 3 completed Iteration number 4 in progress Iteration number 4 completed Iteration number 5 in progress Iteration number 5 completed Iteration number 6 in progress Iteration number 6 completed Iteration number 7 in progress Iteration number 7 completed Iteration number 8 in progress Iteration number 8 completed Iteration number 9 in progress Iteration number 9 completed Convergence achieved fixed PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE CONS 0.6417 0.02255 0.6417 EDU -0.005623 0.001074 -0.005622 EXP 0.007184 0.0007635 0.007184 EXP2 -0.0002713 0.0000175 -0.0002713 CPC 0.004938 0.006815 0.004938 SEX -0.1026 0.01474 -0.1026 EDUL_SEX 0.007617 0.001315 0.007617 random LEVEL 3 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV LEVEL 2 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.01796 0.003792 0.01796 2 EDU /EDU 0.00001104 6.365e-006 0.00001104 2 EXP /EXP 1.676e-006 7.585e-007 1.676e-006 3 CPC /CPC 0.0007908 0.0004096 0.0007909 2 SEX /SEX 0.0002076 0.0001992 0.0002075 1 LEVEL 1 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.06102 0.0006961 0.06102 7 like -2*log(lh) is 966.892 note Multi-level effects: no sex-edu interactions explanatory 'gross_d' 'g_edu' 'G_exp' 'G_cpc' 'G_sex' sett EXPLanatory variables in CONS EDU EXP EXP2 CPC FPARameters CONS EDU EXP EXP2 CPC FMEAns RMEAns RESPonse variable in LOGEARNX IDENtifying codes for level 1: ID level 2: GEO level 3: RESEtting covariances level 1: ON level 2: ON level 3: ON MAXIterations 500 TOLErance 3 METHod is IGLS BATCh is ON LEVEL 3 RANDOM PARAMETER MATRIX unspecified LEVEL 2 RANDOM PARAMETER MATRIX CONS EDU EXP CPC SEX CONS 1 EDU 0 1 EXP 0 0 1 CPC 0 0 0 1 SEX 0 0 0 0 1 LEVEL 1 RANDOM PARAMETER MATRIX CONS CONS 1 clrv 2 sete 2 "cons" "cons" sete 2 "edu" "edu" sete 2 "exp" "exp" sete 2 "cpc" "cpc" sete 2 "sex" "sex" start Iteration number 1 in progress Iteration number 1 completed Iteration number 2 in progress Iteration number 2 completed Iteration number 3 in progress Iteration number 3 completed Iteration number 4 in progress Iteration number 4 completed Iteration number 5 in progress Iteration number 5 completed Iteration number 6 in progress Iteration number 6 completed Iteration number 7 in progress Iteration number 7 completed Iteration number 8 in progress Iteration number 8 completed Iteration number 9 in progress Iteration number 9 completed Iteration number 10 in progress Iteration number 10 completed Convergence achieved fixed PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE CONS 0.4432 0.0443 0.4432 EDU -0.001745 0.002163 -0.001745 EXP 0.007201 0.0009655 0.007201 EXP2 -0.0002711 0.00001748 -0.0002711 CPC -0.01301 0.01541 -0.01301 SEX -0.06537 0.01705 -0.06538 EDUL_SEX 0.007638 0.00131 0.007638 GROSS_D 0.4398 0.08698 0.4398 G_EDU -0.009263 0.004253 -0.009263 G_EXP -0.0001906 0.00134 -0.0001908 G_CPC 0.0397 0.03141 0.0397 G_SEX -0.08706 0.02005 -0.08706 random LEVEL 3 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV LEVEL 2 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.01257 0.002763 0.01257 2 EDU /EDU 0.00001303 6.566e-006 0.00001302 2 EXP /EXP 1.279e-006 6.619e-007 1.278e-006 1 CPC /CPC 0.0007671 0.0003997 0.0007671 4 SEX /SEX 0 0 0 7 LEVEL 1 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.06098 0.0006947 0.06098 8 like -2*log(lh) is 926.734 note Trimmed Multi-level effects: no sex-edu interactions explanatory 'G_exp' 'G_cpc' sett EXPLanatory variables in CONS EDU EXP EXP2 CPC FPARameters CONS EDU EXP EXP2 CPC FMEAns RMEAns RESPonse variable in LOGEARNX IDENtifying codes for level 1: ID level 2: GEO level 3: RESEtting covariances level 1: ON level 2: ON level 3: ON MAXIterations 500 TOLErance 3 METHod is IGLS BATCh is ON LEVEL 3 RANDOM PARAMETER MATRIX unspecified LEVEL 2 RANDOM PARAMETER MATRIX CONS EDU EXP CPC SEX CONS 1 EDU 0 1 EXP 0 0 1 CPC 0 0 0 1 SEX 0 0 0 0 1 LEVEL 1 RANDOM PARAMETER MATRIX CONS CONS 1 clrv 2 sete 2 "cons" "cons" sete 2 "edu" "edu" sete 2 "exp" "exp" sete 2 "cpc" "cpc" sete 2 "sex" "sex" start Iteration number 1 in progress Iteration number 1 completed Iteration number 2 in progress Iteration number 2 completed Iteration number 3 in progress Iteration number 3 completed Iteration number 4 in progress Iteration number 4 completed Iteration number 5 in progress Iteration number 5 completed Iteration number 6 in progress Iteration number 6 completed Iteration number 7 in progress Iteration number 7 completed Iteration number 8 in progress Iteration number 8 completed Iteration number 9 in progress Iteration number 9 completed Iteration number 10 in progress Iteration number 10 completed Convergence achieved fixed PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE CONS 0.4458 0.0421 0.4458 EDU -0.002147 0.002074 -0.002147 EXP 0.00713 0.0007574 0.00713 EXP2 -0.0002713 0.00001748 -0.0002713 CPC 0.004503 0.00685 0.004503 SEX -0.06321 0.01695 -0.06321 EDUL_SEX 0.007618 0.00131 0.007618 GROSS_D 0.4336 0.08076 0.4336 G_EDU -0.008317 0.003999 -0.008317 G_SEX -0.09185 0.01961 -0.09185 random LEVEL 3 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV LEVEL 2 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.0126 0.002768 0.0126 2 EDU /EDU 0.00001299 6.564e-006 0.00001299 2 EXP /EXP 1.292e-006 6.655e-007 1.291e-006 1 CPC /CPC 0.0008174 0.0004112 0.0008175 4 SEX /SEX 0 0 0 7 LEVEL 1 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.06098 0.0006948 0.06098 8 like -2*log(lh) is 928.338 note Multi-level effects: adding three-way interaction explanatory 'g_edusex' sett EXPLanatory variables in CONS EDU EXP EXP2 CPC FPARameters CONS EDU EXP EXP2 CPC FMEAns RMEAns RESPonse variable in LOGEARNX IDENtifying codes for level 1: ID level 2: GEO level 3: RESEtting covariances level 1: ON level 2: ON level 3: ON MAXIterations 500 TOLErance 3 METHod is IGLS BATCh is ON LEVEL 3 RANDOM PARAMETER MATRIX unspecified LEVEL 2 RANDOM PARAMETER MATRIX CONS EDU EXP CPC SEX CONS 1 EDU 0 1 EXP 0 0 1 CPC 0 0 0 1 SEX 0 0 0 0 1 LEVEL 1 RANDOM PARAMETER MATRIX CONS CONS 1 clrv 2 sete 2 "cons" "cons" sete 2 "edu" "edu" sete 2 "exp" "exp" sete 2 "cpc" "cpc" sete 2 "sex" "sex" start Iteration number 1 in progress Iteration number 1 completed Iteration number 2 in progress Iteration number 2 completed Iteration number 3 in progress Iteration number 3 completed Iteration number 4 in progress Iteration number 4 completed Iteration number 5 in progress Iteration number 5 completed Iteration number 6 in progress Iteration number 6 completed Iteration number 7 in progress Iteration number 7 completed Iteration number 8 in progress Iteration number 8 completed Iteration number 9 in progress Iteration number 9 completed Iteration number 10 in progress Iteration number 10 completed Convergence achieved fixed PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE CONS 0.4337 0.04409 0.4337 EDU -0.00106 0.002377 -0.00106 EXP 0.007131 0.0007576 0.007131 EXP2 -0.0002713 0.00001748 -0.0002713 CPC 0.00458 0.006871 0.00458 SEX -0.03736 0.03254 -0.03736 EDUL_SEX 0.005204 0.002905 0.005205 GROSS_D 0.4624 0.08654 0.4624 G_EDU -0.01092 0.004872 -0.01092 G_SEX -0.1523 0.06786 -0.1523 G_EDUSEX 0.005673 0.006094 0.005673 random LEVEL 3 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV LEVEL 2 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.01262 0.002773 0.01263 2 EDU /EDU 0.0000129 6.548e-006 0.0000129 2 EXP /EXP 1.303e-006 6.68e-007 1.302e-006 1 CPC /CPC 0.0008306 0.0004142 0.0008306 4 SEX /SEX 0 0 0 7 LEVEL 1 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.06098 0.0006947 0.06098 8 like -2*log(lh) is 927.474 note Full Multi-level effects: no sex-edu interactions explanatory 'G_exp' 'G_cpc' sett EXPLanatory variables in CONS EDU EXP EXP2 CPC FPARameters CONS EDU EXP EXP2 CPC FMEAns RMEAns RESPonse variable in LOGEARNX IDENtifying codes for level 1: ID level 2: GEO level 3: RESEtting covariances level 1: ON level 2: ON level 3: ON MAXIterations 500 TOLErance 3 METHod is IGLS BATCh is ON LEVEL 3 RANDOM PARAMETER MATRIX unspecified LEVEL 2 RANDOM PARAMETER MATRIX CONS EDU EXP CPC SEX CONS 1 EDU 0 1 EXP 0 0 1 CPC 0 0 0 1 SEX 0 0 0 0 1 LEVEL 1 RANDOM PARAMETER MATRIX CONS CONS 1 clrv 2 sete 2 "cons" "cons" sete 2 "edu" "edu" sete 2 "exp" "exp" sete 2 "cpc" "cpc" sete 2 "sex" "sex" start Iteration number 1 in progress Iteration number 1 completed Iteration number 2 in progress Iteration number 2 completed Iteration number 3 in progress Iteration number 3 completed Iteration number 4 in progress Iteration number 4 completed Iteration number 5 in progress Iteration number 5 completed Iteration number 6 in progress Iteration number 6 completed Iteration number 7 in progress Iteration number 7 completed Iteration number 8 in progress Iteration number 8 completed Iteration number 9 in progress Iteration number 9 completed Iteration number 10 in progress Iteration number 10 completed Iteration number 11 in progress Iteration number 11 completed Convergence achieved fixed PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE CONS 0.4312 0.04608 0.4312 EDU -0.0006432 0.00245 -0.0006432 EXP 0.007184 0.0009663 0.007184 EXP2 -0.0002711 0.00001748 -0.0002711 CPC -0.01316 0.01545 -0.01316 SEX -0.03892 0.03256 -0.03893 EDUL_SEX 0.005163 0.002907 0.005164 GROSS_D 0.4684 0.09208 0.4684 G_EDU -0.0119 0.00507 -0.0119 G_SEX -0.1489 0.0679 -0.1489 G_EDUSEX 0.005816 0.006098 0.005815 G_EXP -0.0001509 0.001342 -0.0001508 G_CPC 0.04019 0.03148 0.04019 random LEVEL 3 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV LEVEL 2 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.0126 0.002767 0.0126 3 EDU /EDU 0.00001294 6.55e-006 0.00001294 3 EXP /EXP 1.291e-006 6.65e-007 1.292e-006 2 CPC /CPC 0.0007778 0.0004021 0.0007778 5 SEX /SEX 0 0 0 8 LEVEL 1 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.06098 0.0006947 0.06098 9 like -2*log(lh) is 925.816 endobey stop