ML3 - Software for three-level analysis. Fri Feb 17 10:19:27 1995 response "logearn" 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 15862 level 1 units ID2: 1101 1401 1402 1403 1404 1405 1427 2101 2102 2106 N : 815 382 336 207 200 198 179 619 613 182 % : 5.1 2.4 2.1 1.3 1.3 1.2 1.1 3.9 3.9 1.1 ID2: 2107 3201 3202 3203 3204 3206 3208 3209 3210 3401 N : 371 524 443 340 176 194 107 90 290 409 % : 2.3 3.3 2.8 2.1 1.1 1.2 0.67 0.57 1.8 2.6 ID2: 3402 3403 3404 3408 3421 3427 4101 4102 4103 4104 N : 173 186 377 292 91 85 384 194 362 182 % : 1.1 1.2 2.4 1.8 0.57 0.54 2.4 1.2 2.3 1.1 ID2: 4105 4107 4128 4129 4201 4202 4203 4204 4222 4401 N : 285 269 124 105 653 196 194 207 192 557 % : 1.8 1.7 0.78 0.66 4.1 1.2 1.2 1.3 1.2 3.5 ID2: 4402 4403 4405 4406 4408 4425 4428 5301 5302 5322 N : 189 206 97 309 196 220 207 575 151 80 % : 1.2 1.3 0.61 1.9 1.2 1.4 1.3 3.6 0.95 0.5 ID2: 5324 5325 5329 5330 6200 N : 186 192 184 191 1096 % : 1.2 1.2 1.2 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 LOGEARN 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 Convergence achieved fixed PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE CONS 6.688 0.02957 6.688 EDU 0.02199 0.001245 0.02199 EXP 0.04325 0.0009723 0.04325 EXP2 -0.0006335 0.00002301 -0.0006335 CPC 0.08466 0.007018 0.08466 SEX -0.3416 0.01906 -0.3416 EDUL_SEX 0.02147 0.00172 0.02147 random LEVEL 3 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV LEVEL 2 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.03188 0.006179 0.03187 1 LEVEL 1 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.1093 0.001229 0.1093 1 like -2*log(lh) is 10132.2 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" note sete 2 "cons" "edu" note sete 2 "cons" "exp" note sete 2 "cons" "cpc" note sete 2 "cons" "sex" sett EXPLanatory variables in CONS EDU EXP EXP2 CPC FPARameters CONS EDU EXP EXP2 CPC FMEAns RMEAns RESPonse variable in LOGEARN 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 Iteration number 10 in progress Iteration number 10 completed Iteration number 11 in progress Iteration number 11 completed Iteration number 12 in progress Iteration number 12 completed Iteration number 13 in progress Iteration number 13 completed Iteration number 14 in progress Iteration number 14 completed Convergence achieved fixed PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE CONS 6.696 0.03132 6.696 EDU 0.02149 0.00152 0.02149 EXP 0.04309 0.001004 0.04309 EXP2 -0.0006332 0.00002296 -0.0006332 CPC 0.08336 0.008306 0.08336 SEX -0.3345 0.0205 -0.3345 EDUL_SEX 0.02088 0.001736 0.02088 random LEVEL 3 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV LEVEL 2 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.03635 0.007772 0.03636 3 EDU /EDU 0.00003356 0.00001422 0.00003354 1 EXP /EXP 2.977e-006 1.335e-006 2.978e-006 5 CPC /CPC 0.0008069 0.0005953 0.0008067 2 SEX /SEX 0.00281 0.0008763 0.00281 6 LEVEL 1 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.1075 0.001216 0.1075 11 like -2*log(lh) is 10016.5 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 LOGEARN 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 6.384 0.05947 6.384 EDU 0.0287 0.002975 0.0287 EXP 0.04468 0.001281 0.04468 EXP2 -0.0006349 0.00002296 -0.0006349 CPC 0.07077 0.01908 0.07077 SEX -0.3323 0.02834 -0.3323 EDUL_SEX 0.02098 0.001735 0.02098 GROSS_D 0.685 0.1161 0.685 G_EDU -0.01673 0.005805 -0.01673 G_EXP -0.003541 0.001775 -0.003541 G_CPC 0.0291 0.03926 0.0291 G_SEX -0.009339 0.0426 -0.009339 random LEVEL 3 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV LEVEL 2 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.02314 0.005201 0.02314 2 EDU /EDU 0.00002945 0.00001288 0.00002947 1 EXP /EXP 2.471e-006 1.202e-006 2.471e-006 3 CPC /CPC 0.000892 0.0006135 0.0008924 1 SEX /SEX 0.002839 0.0008797 0.002839 4 LEVEL 1 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.1075 0.001216 0.1075 8 like -2*log(lh) is 9986.19 note trimmed Multi-level effects: no sex-edu interactions explanatory 'G_cpc' 'G_sex' sett EXPLanatory variables in CONS EDU EXP EXP2 CPC FPARameters CONS EDU EXP EXP2 CPC FMEAns RMEAns RESPonse variable in LOGEARN 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 6.39 0.0588 6.39 EDU 0.02822 0.002922 0.02822 EXP 0.04453 0.001267 0.04453 EXP2 -0.000635 0.00002296 -0.000635 CPC 0.08348 0.00842 0.08348 SEX -0.3367 0.02051 -0.3367 EDUL_SEX 0.02098 0.001735 0.02098 GROSS_D 0.6702 0.1142 0.6702 G_EDU -0.01562 0.005647 -0.01562 G_EXP -0.003171 0.001716 -0.003171 random LEVEL 3 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV LEVEL 2 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.02315 0.005206 0.02314 2 EDU /EDU 0.00002972 0.00001294 0.00002974 1 EXP /EXP 2.49e-006 1.207e-006 2.49e-006 3 CPC /CPC 0.0008943 0.0006142 0.0008946 2 SEX /SEX 0.002843 0.0008804 0.002843 4 LEVEL 1 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.1075 0.001216 0.1075 8 like -2*log(lh) is 9986.84 note Multi-level effects: adding three-way interaction explanatory 'G_sex' 'g_edusex' sett EXPLanatory variables in CONS EDU EXP EXP2 CPC FPARameters CONS EDU EXP EXP2 CPC FMEAns RMEAns RESPonse variable in LOGEARN 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 6.421 0.0614 6.421 EDU 0.02522 0.003298 0.02522 EXP 0.04461 0.001268 0.04461 EXP2 -0.0006352 0.00002295 -0.0006352 CPC 0.08335 0.008385 0.08335 SEX -0.4045 0.04615 -0.4045 EDUL_SEX 0.02793 0.003846 0.02793 GROSS_D 0.5969 0.1217 0.5969 G_EDU -0.008492 0.006714 -0.008493 G_EXP -0.003344 0.001721 -0.003345 G_SEX 0.1597 0.09527 0.1597 G_EDUSEX -0.0163 0.008049 -0.0163 random LEVEL 3 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV LEVEL 2 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.02311 0.005199 0.02311 2 EDU /EDU 0.00002982 0.00001295 0.00002984 1 EXP /EXP 2.492e-006 1.206e-006 2.492e-006 3 CPC /CPC 0.0008684 0.0006077 0.0008687 2 SEX /SEX 0.002833 0.0008783 0.002834 4 LEVEL 1 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.1075 0.001215 0.1075 8 like -2*log(lh) is 9982.64 note Full Multi-level effects: no sex-edu interactions explanatory 'G_sex' sett EXPLanatory variables in CONS EDU EXP EXP2 CPC FPARameters CONS EDU EXP EXP2 CPC FMEAns RMEAns RESPonse variable in LOGEARN 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 6.391 0.0588 6.391 EDU 0.02766 0.002961 0.02766 EXP 0.0446 0.001268 0.0446 EXP2 -0.0006351 0.00002296 -0.0006351 CPC 0.08339 0.008404 0.08339 SEX -0.3352 0.02057 -0.3352 EDUL_SEX 0.02277 0.002308 0.02277 GROSS_D 0.6673 0.1143 0.6673 G_EDU -0.01427 0.005761 -0.01427 G_EXP -0.00333 0.001721 -0.00333 G_EDUSEX -0.004239 0.003588 -0.004238 random LEVEL 3 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV LEVEL 2 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.02313 0.005203 0.02313 2 EDU /EDU 0.00002973 0.00001294 0.00002975 1 EXP /EXP 2.488e-006 1.206e-006 2.488e-006 3 CPC /CPC 0.0008816 0.0006111 0.0008819 2 SEX /SEX 0.002893 0.0008904 0.002893 4 LEVEL 1 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.1075 0.001216 0.1075 8 like -2*log(lh) is 9985.45 endobey stop