ML3 - Software for three-level analysis. Thu Feb 16 23:39:09 1995 response "logearnR" 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 LOGEARNR 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 6.05 0.02082 6.05 EDU 0.02785 0.0009451 0.02785 EXP 0.0354 0.0007407 0.0354 EXP2 -0.0003465 0.00001755 -0.0003465 CPC 0.07908 0.005313 0.07908 SEX -0.2193 0.01463 -0.2193 EDUL_SEX 0.01242 0.001316 0.01242 random LEVEL 3 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV LEVEL 2 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.01445 0.002814 0.01445 1 LEVEL 1 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.06205 0.0007041 0.06205 2 like -2*log(lh) is 1126.58 note Random Coefficients model with restrictions 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 LOGEARNR 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 6.055 0.02042 6.055 EDU 0.02752 0.001205 0.02752 EXP 0.03517 0.0007702 0.03517 EXP2 -0.0003452 0.00001749 -0.0003452 CPC 0.07785 0.006174 0.07785 SEX -0.2163 0.01619 -0.2163 EDUL_SEX 0.01244 0.001328 0.01244 random LEVEL 3 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV LEVEL 2 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.01266 0.002988 0.01266 2 EDU /EDU 0.00002554 9.198e-006 0.00002554 4 EXP /EXP 2.183e-006 8.566e-007 2.182e-006 1 CPC /CPC 0.0004014 0.0003287 0.0004017 1 SEX /SEX 0.002448 0.0006695 0.002448 4 LEVEL 1 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.06083 0.0006942 0.06083 6 like -2*log(lh) is 975.437 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 LOGEARNR 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 Convergence achieved fixed PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE CONS 5.937 0.04312 5.937 EDU 0.0298 0.002455 0.0298 EXP 0.03725 0.0009978 0.03725 EXP2 -0.0003464 0.00001749 -0.0003464 CPC 0.0842 0.01377 0.0842 SEX -0.242 0.02287 -0.242 EDUL_SEX 0.0125 0.001328 0.0125 GROSS_D 0.2612 0.08466 0.2612 G_EDU -0.005436 0.004792 -0.005436 G_EXP -0.004556 0.001421 -0.004556 G_CPC -0.01426 0.0286 -0.01426 G_SEX 0.05303 0.03549 0.05303 random LEVEL 3 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV LEVEL 2 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.01128 0.002706 0.01128 2 EDU /EDU 0.00002535 9.051e-006 0.00002535 5 EXP /EXP 1.831e-006 7.768e-007 1.83e-006 2 CPC /CPC 0.0003524 0.0003146 0.0003526 1 SEX /SEX 0.002177 0.0006148 0.002177 4 LEVEL 1 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.06081 0.0006939 0.06081 6 like -2*log(lh) is 955.096 note Trimmed Multi-level effects: no sex-edu interactions explanatory 'g_edu' 'G_cpc' 'G_sex' sett EXPLanatory variables in CONS EDU EXP EXP2 CPC FPARameters CONS EDU EXP EXP2 CPC FMEAns RMEAns RESPonse variable in LOGEARNR 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 Convergence achieved fixed PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE CONS 5.948 0.03984 5.948 EDU 0.02733 0.001218 0.02733 EXP 0.03721 0.000979 0.03721 EXP2 -0.0003462 0.00001749 -0.0003462 CPC 0.07792 0.006125 0.07792 SEX -0.217 0.01614 -0.217 EDUL_SEX 0.01246 0.001328 0.01246 GROSS_D 0.2364 0.07545 0.2364 G_EXP -0.004481 0.001345 -0.004481 random LEVEL 3 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV LEVEL 2 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.01122 0.00271 0.01122 2 EDU /EDU 0.00002714 9.412e-006 0.00002714 4 EXP /EXP 1.838e-006 7.79e-007 1.838e-006 2 CPC /CPC 0.0003762 0.0003212 0.0003764 1 SEX /SEX 0.002376 0.0006543 0.002376 4 LEVEL 1 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.06081 0.0006939 0.06081 6 like -2*log(lh) is 959.611 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 LOGEARNR 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 Convergence achieved fixed PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE CONS 5.965 0.04004 5.965 EDU 0.02759 0.001205 0.02759 EXP 0.03745 0.0009843 0.03745 EXP2 -0.0003465 0.00001748 -0.0003465 CPC 0.07792 0.006072 0.07792 SEX -0.3242 0.03287 -0.3242 EDUL_SEX 0.02016 0.002633 0.02016 GROSS_D 0.1951 0.0761 0.1951 G_EXP -0.005016 0.001364 -0.005016 G_SEX 0.2451 0.06534 0.2451 G_EDUSEX -0.01795 0.005308 -0.01795 random LEVEL 3 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV LEVEL 2 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.01121 0.002695 0.01121 2 EDU /EDU 0.00002532 9.039e-006 0.00002532 5 EXP /EXP 1.868e-006 7.843e-007 1.868e-006 2 CPC /CPC 0.0003491 0.0003137 0.0003492 1 SEX /SEX 0.00218 0.0006151 0.00218 4 LEVEL 1 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.06078 0.0006935 0.06078 6 like -2*log(lh) is 945.527 note Full Multi-level effects: with sex-edu interactions explanatory 'g_edu' 'G_cpc' sett EXPLanatory variables in CONS EDU EXP EXP2 CPC FPARameters CONS EDU EXP EXP2 CPC FMEAns RMEAns RESPonse variable in LOGEARNR 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 Convergence achieved fixed PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE CONS 5.978 0.04482 5.978 EDU 0.02606 0.002722 0.02606 EXP 0.03732 0.0009998 0.03732 EXP2 -0.0003466 0.00001748 -0.0003466 CPC 0.08477 0.01373 0.08477 SEX -0.3315 0.03621 -0.3315 EDUL_SEX 0.02088 0.002945 0.02088 GROSS_D 0.1645 0.08969 0.1645 G_EXP -0.004698 0.001427 -0.004698 G_SEX 0.2626 0.07471 0.2626 G_EDUSEX -0.01968 0.006171 -0.01968 G_EDU 0.00348 0.005552 0.003481 G_CPC -0.0159 0.02854 -0.0159 random LEVEL 3 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV LEVEL 2 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.01117 0.002688 0.01117 2 EDU /EDU 0.00002555 9.082e-006 0.00002555 5 EXP /EXP 1.868e-006 7.841e-007 1.868e-006 2 CPC /CPC 0.0003445 0.0003125 0.0003446 1 SEX /SEX 0.002187 0.0006165 0.002187 4 LEVEL 1 PARAMETER ESTIMATE S. ERROR PREV. ESTIMATE NCONV CONS /CONS 0.06077 0.0006935 0.06077 6 like -2*log(lh) is 944.935 endobey stop