------------------------------------------------------------------------------- log: /hdir/0/ebenstei/morg/kevin/morg_kevin.log log type: text opened on: 27 Apr 2007, 15:36:39 . *========================================================= > Program: morg_kevin.do > Author: Kevin Stange > Created: April 27, 2007 > Purpose: This program estimates state-level average wages for college grads > and non-college grads from May Outgoing Rotation Group of the CPS. > I restrict sample to 1997-1999, people with at least a high school degree, > and people aged 22 to 30. > ===========================================================; . *==================================================== > Step 1: Read in raw CPS data > *====================================================; . use ~/morg/morg_pool.dta, clear; . *==================================================== > Step 2: Restrict sample to only people aged 22-30 > *====================================================; . keep if year == 1997 | year == 1998 | year == 1999; (4635209 observations deleted) . keep if age >= 22 & age <= 30; (383204 observations deleted) . keep if edcat >= 12; (9886 observations deleted) . gen exper_2 = exper^2; . gen ba = 1 if edcat >= 16; (62706 missing values generated) . replace ba = 0 if edcat < 16; (62706 real changes made) . gen lwagepred = .; (90086 missing values generated) . gen bareturn = .; (90086 missing values generated) . gen female = sex-1; . gen str2 stateabb = " "; . replace stateabb = "ME" if state ==11; (861 real changes made) . replace stateabb = "NH" if state ==12; (841 real changes made) . replace stateabb = "VT" if state ==13; (868 real changes made) . replace stateabb = "MA" if state ==14; (2380 real changes made) . replace stateabb = "RI" if state ==15; (901 real changes made) . replace stateabb = "CT" if state ==16; (745 real changes made) . replace stateabb = "NY" if state ==21; (5300 real changes made) . replace stateabb = "NJ" if state ==22; (2745 real changes made) . replace stateabb = "PA" if state ==23; (3569 real changes made) . replace stateabb = "OH" if state ==31; (3637 real changes made) . replace stateabb = "IN" if state ==32; (1183 real changes made) . replace stateabb = "IL" if state ==33; (4052 real changes made) . replace stateabb = "MI" if state ==34; (3385 real changes made) . replace stateabb = "WI" if state ==35; (1364 real changes made) . replace stateabb = "MN" if state ==41; (1339 real changes made) . replace stateabb = "IA" if state ==42; (1293 real changes made) . replace stateabb = "MO" if state ==43; (1127 real changes made) . replace stateabb = "ND" if state ==44; (1204 real changes made) . replace stateabb = "SD" if state ==45; (1165 real changes made) . replace stateabb = "NE" if state ==46; (1334 real changes made) . replace stateabb = "KS" if state ==47; (1253 real changes made) . replace stateabb = "DE" if state ==51; (963 real changes made) . replace stateabb = "MD" if state ==52; (1034 real changes made) . replace stateabb = "DC" if state ==53; (1167 real changes made) . replace stateabb = "VA" if state ==54; (1432 real changes made) . replace stateabb = "WV" if state ==55; (1017 real changes made) . replace stateabb = "NC" if state ==56; (2450 real changes made) . replace stateabb = "SC" if state ==57; (917 real changes made) . replace stateabb = "GA" if state ==58; (1740 real changes made) . replace stateabb = "FL" if state ==59; (3941 real changes made) . replace stateabb = "KY" if state ==61; (1226 real changes made) . replace stateabb = "TN" if state ==62; (1180 real changes made) . replace stateabb = "AL" if state ==63; (1215 real changes made) . replace stateabb = "MS" if state ==64; (1005 real changes made) . replace stateabb = "AR" if state ==71; (1255 real changes made) . replace stateabb = "LA" if state ==72; (1274 real changes made) . replace stateabb = "OK" if state ==73; (1227 real changes made) . replace stateabb = "TX" if state ==74; (4456 real changes made) . replace stateabb = "MT" if state ==81; (1199 real changes made) . replace stateabb = "ID" if state ==82; (1248 real changes made) . replace stateabb = "WY" if state ==83; (1049 real changes made) . replace stateabb = "CO" if state ==84; (1618 real changes made) . replace stateabb = "NM" if state ==85; (1204 real changes made) . replace stateabb = "AZ" if state ==86; (1370 real changes made) . replace stateabb = "UT" if state ==87; (1718 real changes made) . replace stateabb = "NV" if state ==88; (1109 real changes made) . replace stateabb = "WA" if state ==91; (1239 real changes made) . replace stateabb = "OR" if state ==92; (1093 real changes made) . replace stateabb = "CA" if state ==93; (7264 real changes made) . replace stateabb = "AK" if state ==94; (932 real changes made) . replace stateabb = "HI" if state ==95; (998 real changes made) . sort stateabb female; . global states " > ME NH VT MA RI CT NY NJ PA OH > IN IL MI WI MN IA MO ND SD NE > KS DE MD DC VA WV NC SC GA > FL KY TN AL MS AR LA OK TX MT > ID WY CO NM AZ UT NV WA OR C > A AK HI"; . *============================================================ > Step 3: Estimate lwage equation separately by state and gender > *============================================================; . foreach state of global states{; 2. regress lwage ba exper exper_2 [w=earnwt] > if female==0 & stateabb =="`state'" ; 3. replace lwagepred = (ba)*(_b[ba]) + (_b[_cons]) > if female==0 & stateabb =="`state'"; 4. regress lwage ba exper exper_2 [w=earnwt] > if female==1 & stateabb =="`state'"; 5. replace lwagepred = (ba)*(_b[ba]) + (_b[_cons]) > if female==1 & stateabb =="`state'"; 6. }; (analytic weights assumed) (sum of wgt is 1.4544e+06) Source | SS df MS Number of obs = 361 -------------+------------------------------ F( 3, 357) = 9.89 Model | 4.65849633 3 1.55283211 Prob > F = 0.0000 Residual | 56.0503616 357 .157003814 R-squared = 0.0767 -------------+------------------------------ Adj R-squared = 0.0690 Total | 60.708858 360 .168635717 Root MSE = .39624 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .2801111 .0531269 5.27 0.000 .17563 .3845922 exper | .0279116 .0269561 1.04 0.301 -.025101 .0809242 exper_2 | -.0007666 .0020528 -0.37 0.709 -.0048037 .0032704 _cons | 2.17837 .0815385 26.72 0.000 2.018013 2.338726 ------------------------------------------------------------------------------ (420 real changes made) (analytic weights assumed) (sum of wgt is 1.4868e+06) Source | SS df MS Number of obs = 377 -------------+------------------------------ F( 3, 373) = 24.71 Model | 9.99077968 3 3.33025989 Prob > F = 0.0000 Residual | 50.2643482 373 .134756966 R-squared = 0.1658 -------------+------------------------------ Adj R-squared = 0.1591 Total | 60.2551279 376 .160253 Root MSE = .36709 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3626048 .0441137 8.22 0.000 .2758621 .4493475 exper | .06416 .0221906 2.89 0.004 .0205255 .1077944 exper_2 | -.0032799 .0017257 -1.90 0.058 -.0066732 .0001134 _cons | 1.949703 .0686241 28.41 0.000 1.814764 2.084641 ------------------------------------------------------------------------------ (441 real changes made) (analytic weights assumed) (sum of wgt is 1.5702e+06) Source | SS df MS Number of obs = 387 -------------+------------------------------ F( 3, 383) = 11.05 Model | 7.73224521 3 2.57741507 Prob > F = 0.0000 Residual | 89.3289247 383 .23323479 R-squared = 0.0797 -------------+------------------------------ Adj R-squared = 0.0725 Total | 97.0611699 386 .251453808 Root MSE = .48294 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .2602857 .0592057 4.40 0.000 .1438768 .3766946 exper | .0977534 .0313441 3.12 0.002 .0361253 .1593816 exper_2 | -.005186 .0023695 -2.19 0.029 -.0098449 -.0005272 _cons | 2.105786 .0984323 21.39 0.000 1.91225 2.299321 ------------------------------------------------------------------------------ (416 real changes made) (analytic weights assumed) (sum of wgt is 1.5231e+06) Source | SS df MS Number of obs = 394 -------------+------------------------------ F( 3, 390) = 24.52 Model | 15.9342787 3 5.31142624 Prob > F = 0.0000 Residual | 84.4938026 390 .216650776 R-squared = 0.1587 -------------+------------------------------ Adj R-squared = 0.1522 Total | 100.428081 393 .255542192 Root MSE = .46546 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4149599 .0519301 7.99 0.000 .3128619 .5170579 exper | .0778916 .0276424 2.82 0.005 .0235449 .1322383 exper_2 | -.0042287 .0022558 -1.87 0.062 -.0086638 .0002063 _cons | 1.987219 .0806111 24.65 0.000 1.828733 2.145706 ------------------------------------------------------------------------------ (425 real changes made) (analytic weights assumed) (sum of wgt is 8.1209e+05) Source | SS df MS Number of obs = 379 -------------+------------------------------ F( 3, 375) = 22.43 Model | 12.7828581 3 4.2609527 Prob > F = 0.0000 Residual | 71.2450015 375 .189986671 R-squared = 0.1521 -------------+------------------------------ Adj R-squared = 0.1453 Total | 84.0278597 378 .222295925 Root MSE = .43587 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4065249 .0512465 7.93 0.000 .3057584 .5072914 exper | -.0043053 .0274874 -0.16 0.876 -.058354 .0497434 exper_2 | .0030942 .0021091 1.47 0.143 -.001053 .0072415 _cons | 2.151581 .0852063 25.25 0.000 1.984039 2.319123 ------------------------------------------------------------------------------ (429 real changes made) (analytic weights assumed) (sum of wgt is 8.2677e+05) Source | SS df MS Number of obs = 399 -------------+------------------------------ F( 3, 395) = 21.55 Model | 9.99445223 3 3.33148408 Prob > F = 0.0000 Residual | 61.0623754 395 .154588292 R-squared = 0.1407 -------------+------------------------------ Adj R-squared = 0.1341 Total | 71.0568276 398 .178534743 Root MSE = .39318 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3128258 .0442782 7.07 0.000 .2257753 .3998763 exper | .0694718 .021958 3.16 0.002 .0263027 .1126408 exper_2 | -.0053163 .0018346 -2.90 0.004 -.0089231 -.0017095 _cons | 2.012982 .0649293 31.00 0.000 1.885331 2.140632 ------------------------------------------------------------------------------ (439 real changes made) (analytic weights assumed) (sum of wgt is 9.9322e+06) Source | SS df MS Number of obs = 1096 -------------+------------------------------ F( 3, 1092) = 46.24 Model | 34.3627249 3 11.4542416 Prob > F = 0.0000 Residual | 270.514528 1092 .247723926 R-squared = 0.1127 -------------+------------------------------ Adj R-squared = 0.1103 Total | 304.877253 1095 .278426715 Root MSE = .49772 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .364247 .0335055 10.87 0.000 .2985045 .4299894 exper | .0687914 .0174027 3.95 0.000 .0346449 .1029378 exper_2 | -.0027403 .0014205 -1.93 0.054 -.0055275 .000047 _cons | 2.14559 .0514982 41.66 0.000 2.044543 2.246637 ------------------------------------------------------------------------------ (1235 real changes made) (analytic weights assumed) (sum of wgt is 9.0503e+06) Source | SS df MS Number of obs = 1041 -------------+------------------------------ F( 3, 1037) = 60.96 Model | 40.4937601 3 13.49792 Prob > F = 0.0000 Residual | 229.611762 1037 .221419249 R-squared = 0.1499 -------------+------------------------------ Adj R-squared = 0.1475 Total | 270.105522 1040 .259716848 Root MSE = .47055 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .406317 .0316142 12.85 0.000 .3442819 .468352 exper | .0630452 .0176181 3.58 0.000 .028474 .0976164 exper_2 | -.0029456 .0015054 -1.96 0.051 -.0058997 8.38e-06 _cons | 2.072644 .0510446 40.60 0.000 1.972482 2.172807 ------------------------------------------------------------------------------ (1145 real changes made) (analytic weights assumed) (sum of wgt is 1.2041e+06) Source | SS df MS Number of obs = 358 -------------+------------------------------ F( 3, 354) = 14.77 Model | 7.80517589 3 2.6017253 Prob > F = 0.0000 Residual | 62.3387678 354 .176098214 R-squared = 0.1113 -------------+------------------------------ Adj R-squared = 0.1037 Total | 70.1439437 357 .196481635 Root MSE = .41964 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3248073 .0511819 6.35 0.000 .2241485 .425466 exper | -.0157455 .0277108 -0.57 0.570 -.0702441 .038753 exper_2 | .0035596 .0021182 1.68 0.094 -.0006062 .0077255 _cons | 2.343218 .087946 26.64 0.000 2.170255 2.51618 ------------------------------------------------------------------------------ (427 real changes made) (analytic weights assumed) (sum of wgt is 1.3185e+06) Source | SS df MS Number of obs = 412 -------------+------------------------------ F( 3, 408) = 19.48 Model | 11.931399 3 3.97713302 Prob > F = 0.0000 Residual | 83.3120713 408 .204196253 R-squared = 0.1253 -------------+------------------------------ Adj R-squared = 0.1188 Total | 95.2434704 411 .231735938 Root MSE = .45188 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3813833 .0513094 7.43 0.000 .2805195 .4822471 exper | .0682801 .025421 2.69 0.008 .0183076 .1182526 exper_2 | -.0036721 .0020255 -1.81 0.071 -.0076538 .0003096 _cons | 1.969946 .0794267 24.80 0.000 1.81381 2.126083 ------------------------------------------------------------------------------ (474 real changes made) (analytic weights assumed) (sum of wgt is 3.4695e+06) Source | SS df MS Number of obs = 314 -------------+------------------------------ F( 3, 310) = 24.19 Model | 14.9381338 3 4.97937792 Prob > F = 0.0000 Residual | 63.819469 310 .205869255 R-squared = 0.1897 -------------+------------------------------ Adj R-squared = 0.1818 Total | 78.7576027 313 .251621734 Root MSE = .45373 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4902638 .0592055 8.28 0.000 .3737683 .6067593 exper | .0571309 .0329729 1.73 0.084 -.007748 .1220098 exper_2 | -.0017244 .0025594 -0.67 0.501 -.0067605 .0033116 _cons | 2.147467 .1011028 21.24 0.000 1.948532 2.346401 ------------------------------------------------------------------------------ (346 real changes made) (analytic weights assumed) (sum of wgt is 3.9903e+06) Source | SS df MS Number of obs = 373 -------------+------------------------------ F( 3, 369) = 26.41 Model | 15.2500823 3 5.08336075 Prob > F = 0.0000 Residual | 71.037869 369 .19251455 R-squared = 0.1767 -------------+------------------------------ Adj R-squared = 0.1700 Total | 86.2879512 372 .231956858 Root MSE = .43876 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3774378 .0494171 7.64 0.000 .2802633 .4746124 exper | .1150142 .0263851 4.36 0.000 .0631302 .1668981 exper_2 | -.0068765 .0021023 -3.27 0.001 -.0110105 -.0027426 _cons | 1.940479 .0823031 23.58 0.000 1.778637 2.102321 ------------------------------------------------------------------------------ (399 real changes made) (analytic weights assumed) (sum of wgt is 2.3536e+07) Source | SS df MS Number of obs = 2329 -------------+------------------------------ F( 3, 2325) = 156.69 Model | 134.938172 3 44.9793907 Prob > F = 0.0000 Residual | 667.40452 2325 .287055708 R-squared = 0.1682 -------------+------------------------------ Adj R-squared = 0.1671 Total | 802.342692 2328 .344648923 Root MSE = .53578 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .5076028 .024819 20.45 0.000 .4589331 .5562726 exper | .0937786 .013376 7.01 0.000 .0675485 .1200086 exper_2 | -.004577 .001077 -4.25 0.000 -.0066891 -.002465 _cons | 2.007109 .0400748 50.08 0.000 1.928523 2.085695 ------------------------------------------------------------------------------ (2643 real changes made) (analytic weights assumed) (sum of wgt is 2.3012e+07) Source | SS df MS Number of obs = 2389 -------------+------------------------------ F( 3, 2385) = 206.03 Model | 144.946032 3 48.3153439 Prob > F = 0.0000 Residual | 559.288435 2385 .234502489 R-squared = 0.2058 -------------+------------------------------ Adj R-squared = 0.2048 Total | 704.234467 2388 .294905556 Root MSE = .48425 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .5009242 .0214539 23.35 0.000 .458854 .5429944 exper | .0870794 .0115532 7.54 0.000 .0644239 .1097348 exper_2 | -.0053967 .0009719 -5.55 0.000 -.0073025 -.0034909 _cons | 1.943906 .032812 59.24 0.000 1.879563 2.008249 ------------------------------------------------------------------------------ (2657 real changes made) (analytic weights assumed) (sum of wgt is 1.1482e+07) Source | SS df MS Number of obs = 1216 -------------+------------------------------ F( 3, 1212) = 96.78 Model | 65.3021475 3 21.7673825 Prob > F = 0.0000 Residual | 272.595066 1212 .22491342 R-squared = 0.1933 -------------+------------------------------ Adj R-squared = 0.1913 Total | 337.897213 1215 .278104702 Root MSE = .47425 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .458044 .0308182 14.86 0.000 .397581 .5185069 exper | .1240825 .0166123 7.47 0.000 .0914905 .1566745 exper_2 | -.0062943 .0013061 -4.82 0.000 -.0088567 -.0037319 _cons | 1.97557 .0508466 38.85 0.000 1.875812 2.075327 ------------------------------------------------------------------------------ (1377 real changes made) (analytic weights assumed) (sum of wgt is 1.1113e+07) Source | SS df MS Number of obs = 1237 -------------+------------------------------ F( 3, 1233) = 134.62 Model | 74.924891 3 24.9749637 Prob > F = 0.0000 Residual | 228.746762 1233 .185520488 R-squared = 0.2467 -------------+------------------------------ Adj R-squared = 0.2449 Total | 303.671653 1236 .24568904 Root MSE = .43072 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .5084088 .0265627 19.14 0.000 .4562957 .5605219 exper | .0764998 .0139539 5.48 0.000 .0491238 .1038758 exper_2 | -.0044093 .0011638 -3.79 0.000 -.0066926 -.0021261 _cons | 2.057756 .0403982 50.94 0.000 1.978499 2.137013 ------------------------------------------------------------------------------ (1368 real changes made) (analytic weights assumed) (sum of wgt is 1.5097e+07) Source | SS df MS Number of obs = 1530 -------------+------------------------------ F( 3, 1526) = 108.78 Model | 71.311782 3 23.770594 Prob > F = 0.0000 Residual | 333.45776 1526 .218517536 R-squared = 0.1762 -------------+------------------------------ Adj R-squared = 0.1746 Total | 404.769542 1529 .264728281 Root MSE = .46746 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4618012 .0277222 16.66 0.000 .4074235 .5161788 exper | .0750128 .0149401 5.02 0.000 .0457075 .1043181 exper_2 | -.0019214 .0011703 -1.64 0.101 -.0042169 .0003741 _cons | 1.957161 .0456407 42.88 0.000 1.867636 2.046686 ------------------------------------------------------------------------------ (1765 real changes made) (analytic weights assumed) (sum of wgt is 1.5503e+07) Source | SS df MS Number of obs = 1608 -------------+------------------------------ F( 3, 1604) = 116.57 Model | 72.3877934 3 24.1292645 Prob > F = 0.0000 Residual | 332.023604 1604 .20699726 R-squared = 0.1790 -------------+------------------------------ Adj R-squared = 0.1775 Total | 404.411398 1607 .251656128 Root MSE = .45497 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4613952 .0256834 17.96 0.000 .4110186 .5117719 exper | .0810283 .0129135 6.27 0.000 .0556993 .1063574 exper_2 | -.0043755 .0010276 -4.26 0.000 -.006391 -.00236 _cons | 1.90414 .0395743 48.12 0.000 1.826517 1.981763 ------------------------------------------------------------------------------ (1804 real changes made) (analytic weights assumed) (sum of wgt is 1.7486e+07) Source | SS df MS Number of obs = 1667 -------------+------------------------------ F( 3, 1663) = 73.76 Model | 43.7345852 3 14.5781951 Prob > F = 0.0000 Residual | 328.659877 1663 .197630714 R-squared = 0.1174 -------------+------------------------------ Adj R-squared = 0.1158 Total | 372.394462 1666 .223526088 Root MSE = .44456 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3301521 .0256334 12.88 0.000 .2798749 .3804292 exper | .0955223 .0143926 6.64 0.000 .0672928 .1237519 exper_2 | -.0050596 .0011193 -4.52 0.000 -.007255 -.0028642 _cons | 2.036698 .0432491 47.09 0.000 1.951869 2.121526 ------------------------------------------------------------------------------ (1872 real changes made) (analytic weights assumed) (sum of wgt is 1.5567e+07) Source | SS df MS Number of obs = 1590 -------------+------------------------------ F( 3, 1586) = 119.43 Model | 71.0549965 3 23.6849988 Prob > F = 0.0000 Residual | 314.543902 1586 .198325285 R-squared = 0.1843 -------------+------------------------------ Adj R-squared = 0.1827 Total | 385.598898 1589 .242667652 Root MSE = .44534 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4464379 .0252954 17.65 0.000 .3968218 .4960539 exper | .0943045 .0134275 7.02 0.000 .067967 .1206419 exper_2 | -.0059999 .0010785 -5.56 0.000 -.0081154 -.0038845 _cons | 1.866646 .0398376 46.86 0.000 1.788506 1.944785 ------------------------------------------------------------------------------ (1765 real changes made) (analytic weights assumed) (sum of wgt is 8.1364e+06) Source | SS df MS Number of obs = 535 -------------+------------------------------ F( 3, 531) = 22.14 Model | 15.1988759 3 5.06629198 Prob > F = 0.0000 Residual | 121.531803 531 .228873451 R-squared = 0.1112 -------------+------------------------------ Adj R-squared = 0.1061 Total | 136.730679 534 .25604996 Root MSE = .47841 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3727071 .0525238 7.10 0.000 .2695272 .4758871 exper | .1062726 .0274214 3.88 0.000 .0524049 .1601402 exper_2 | -.0057589 .0020533 -2.80 0.005 -.0097926 -.0017253 _cons | 2.033801 .0854295 23.81 0.000 1.865979 2.201622 ------------------------------------------------------------------------------ (594 real changes made) (analytic weights assumed) (sum of wgt is 8.0132e+06) Source | SS df MS Number of obs = 540 -------------+------------------------------ F( 3, 536) = 36.24 Model | 24.4662927 3 8.15543091 Prob > F = 0.0000 Residual | 120.625631 536 .225047818 R-squared = 0.1686 -------------+------------------------------ Adj R-squared = 0.1640 Total | 145.091923 539 .269187242 Root MSE = .47439 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .45987 .0469744 9.79 0.000 .3675935 .5521466 exper | .0992471 .0242826 4.09 0.000 .0515463 .1469479 exper_2 | -.0049827 .0019595 -2.54 0.011 -.0088319 -.0011335 _cons | 1.809305 .071791 25.20 0.000 1.668279 1.950332 ------------------------------------------------------------------------------ (589 real changes made) (analytic weights assumed) (sum of wgt is 1.8095e+07) Source | SS df MS Number of obs = 1837 -------------+------------------------------ F( 3, 1833) = 122.55 Model | 79.9993807 3 26.6664602 Prob > F = 0.0000 Residual | 398.85351 1833 .217596023 R-squared = 0.1671 -------------+------------------------------ Adj R-squared = 0.1657 Total | 478.852891 1836 .260813121 Root MSE = .46647 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4222573 .0242481 17.41 0.000 .3747005 .4698142 exper | .0926917 .013396 6.92 0.000 .0664187 .1189647 exper_2 | -.0042754 .0010643 -4.02 0.000 -.0063628 -.002188 _cons | 2.072685 .0397937 52.09 0.000 1.994639 2.150731 ------------------------------------------------------------------------------ (2023 real changes made) (analytic weights assumed) (sum of wgt is 1.7830e+07) Source | SS df MS Number of obs = 1891 -------------+------------------------------ F( 3, 1887) = 176.03 Model | 100.163027 3 33.3876757 Prob > F = 0.0000 Residual | 357.898487 1887 .189665335 R-squared = 0.2187 -------------+------------------------------ Adj R-squared = 0.2174 Total | 458.061514 1890 .242360589 Root MSE = .43551 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4699067 .0222283 21.14 0.000 .426312 .5135014 exper | .0976782 .0115859 8.43 0.000 .0749557 .1204007 exper_2 | -.0063065 .0009417 -6.70 0.000 -.0081535 -.0044596 _cons | 1.949126 .0344096 56.64 0.000 1.881641 2.016611 ------------------------------------------------------------------------------ (2029 real changes made) (analytic weights assumed) (sum of wgt is 1.5945e+07) Source | SS df MS Number of obs = 1651 -------------+------------------------------ F( 3, 1647) = 97.37 Model | 55.5783658 3 18.5261219 Prob > F = 0.0000 Residual | 313.350918 1647 .190255566 R-squared = 0.1506 -------------+------------------------------ Adj R-squared = 0.1491 Total | 368.929284 1650 .223593505 Root MSE = .43618 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4108761 .0256095 16.04 0.000 .3606454 .4611068 exper | .0575566 .0137135 4.20 0.000 .0306589 .0844544 exper_2 | -.0023032 .001077 -2.14 0.033 -.0044157 -.0001908 _cons | 2.204499 .0396866 55.55 0.000 2.126657 2.28234 ------------------------------------------------------------------------------ (1802 real changes made) (analytic weights assumed) (sum of wgt is 1.3247e+07) Source | SS df MS Number of obs = 1440 -------------+------------------------------ F( 3, 1436) = 132.57 Model | 68.8177268 3 22.9392423 Prob > F = 0.0000 Residual | 248.471403 1436 .173030225 R-squared = 0.2169 -------------+------------------------------ Adj R-squared = 0.2153 Total | 317.28913 1439 .220492794 Root MSE = .41597 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4872225 .0256539 18.99 0.000 .4368993 .5375456 exper | .0749851 .0134931 5.56 0.000 .0485169 .1014534 exper_2 | -.0046184 .001099 -4.20 0.000 -.0067742 -.0024625 _cons | 2.021155 .0386411 52.31 0.000 1.945356 2.096954 ------------------------------------------------------------------------------ (1583 real changes made) (analytic weights assumed) (sum of wgt is 7.9975e+06) Source | SS df MS Number of obs = 623 -------------+------------------------------ F( 3, 619) = 26.70 Model | 14.4713288 3 4.82377627 Prob > F = 0.0000 Residual | 111.849268 619 .180693486 R-squared = 0.1146 -------------+------------------------------ Adj R-squared = 0.1103 Total | 126.320596 622 .203087776 Root MSE = .42508 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3253963 .0396457 8.21 0.000 .2475399 .4032526 exper | .0656177 .0212208 3.09 0.002 .0239443 .1072912 exper_2 | -.0036258 .0016917 -2.14 0.032 -.006948 -.0003036 _cons | 2.180233 .0620862 35.12 0.000 2.058307 2.302158 ------------------------------------------------------------------------------ (669 real changes made) (analytic weights assumed) (sum of wgt is 8.1206e+06) Source | SS df MS Number of obs = 656 -------------+------------------------------ F( 3, 652) = 50.34 Model | 19.4228424 3 6.4742808 Prob > F = 0.0000 Residual | 83.8595908 652 .128619004 R-squared = 0.1881 -------------+------------------------------ Adj R-squared = 0.1843 Total | 103.282433 655 .157683104 Root MSE = .35863 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3540041 .0313941 11.28 0.000 .2923585 .4156498 exper | .0720665 .0171924 4.19 0.000 .0383074 .1058256 exper_2 | -.003972 .0014467 -2.75 0.006 -.0068128 -.0011312 _cons | 1.970794 .0469875 41.94 0.000 1.878529 2.063059 ------------------------------------------------------------------------------ (695 real changes made) (analytic weights assumed) (sum of wgt is 7.1164e+06) Source | SS df MS Number of obs = 622 -------------+------------------------------ F( 3, 618) = 44.98 Model | 26.7214137 3 8.90713791 Prob > F = 0.0000 Residual | 122.365619 618 .19800262 R-squared = 0.1792 -------------+------------------------------ Adj R-squared = 0.1752 Total | 149.087033 621 .240075738 Root MSE = .44497 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3808967 .0392612 9.70 0.000 .3037953 .4579982 exper | .0695276 .0241883 2.87 0.004 .0220264 .1170288 exper_2 | -.0017345 .0020082 -0.86 0.388 -.0056782 .0022091 _cons | 2.122133 .0673943 31.49 0.000 1.989783 2.254482 ------------------------------------------------------------------------------ (689 real changes made) (analytic weights assumed) (sum of wgt is 6.7651e+06) Source | SS df MS Number of obs = 612 -------------+------------------------------ F( 3, 608) = 43.90 Model | 21.2996657 3 7.09988856 Prob > F = 0.0000 Residual | 98.3294096 608 .161726003 R-squared = 0.1780 -------------+------------------------------ Adj R-squared = 0.1740 Total | 119.629075 611 .195792267 Root MSE = .40215 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3631771 .0349273 10.40 0.000 .2945844 .4317699 exper | .0874326 .0191603 4.56 0.000 .0498041 .125061 exper_2 | -.0054889 .0016099 -3.41 0.001 -.0086506 -.0023273 _cons | 2.018621 .0557274 36.22 0.000 1.909179 2.128062 ------------------------------------------------------------------------------ (650 real changes made) (analytic weights assumed) (sum of wgt is 4.4919e+06) Source | SS df MS Number of obs = 590 -------------+------------------------------ F( 3, 586) = 17.44 Model | 8.86023426 3 2.95341142 Prob > F = 0.0000 Residual | 99.260503 586 .169386524 R-squared = 0.0819 -------------+------------------------------ Adj R-squared = 0.0772 Total | 108.120737 589 .183566617 Root MSE = .41157 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .2459044 .038862 6.33 0.000 .1695786 .3222302 exper | .070607 .0198271 3.56 0.000 .0316662 .1095478 exper_2 | -.0040854 .001604 -2.55 0.011 -.0072358 -.0009351 _cons | 2.142197 .0581964 36.81 0.000 2.027898 2.256496 ------------------------------------------------------------------------------ (654 real changes made) (analytic weights assumed) (sum of wgt is 4.3750e+06) Source | SS df MS Number of obs = 588 -------------+------------------------------ F( 3, 584) = 22.96 Model | 11.671401 3 3.89046701 Prob > F = 0.0000 Residual | 98.9471762 584 .169430096 R-squared = 0.1055 -------------+------------------------------ Adj R-squared = 0.1009 Total | 110.618577 587 .188447321 Root MSE = .41162 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .2907713 .0369527 7.87 0.000 .218195 .3633476 exper | .0411128 .0198592 2.07 0.039 .0021087 .080117 exper_2 | -.002938 .0016625 -1.77 0.078 -.0062032 .0003272 _cons | 2.099794 .056111 37.42 0.000 1.98959 2.209998 ------------------------------------------------------------------------------ (639 real changes made) (analytic weights assumed) (sum of wgt is 8.4950e+06) Source | SS df MS Number of obs = 530 -------------+------------------------------ F( 3, 526) = 11.04 Model | 6.25637868 3 2.08545956 Prob > F = 0.0000 Residual | 99.3700938 526 .188916528 R-squared = 0.0592 -------------+------------------------------ Adj R-squared = 0.0539 Total | 105.626472 529 .199671971 Root MSE = .43465 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .1975825 .0425901 4.64 0.000 .1139149 .2812501 exper | .0501525 .0236469 2.12 0.034 .0036986 .0966064 exper_2 | -.001743 .0018051 -0.97 0.335 -.0052892 .0018031 _cons | 2.209857 .0718969 30.74 0.000 2.068617 2.351098 ------------------------------------------------------------------------------ (578 real changes made) (analytic weights assumed) (sum of wgt is 7.6920e+06) Source | SS df MS Number of obs = 501 -------------+------------------------------ F( 3, 497) = 34.59 Model | 15.6262108 3 5.20873695 Prob > F = 0.0000 Residual | 74.8346505 497 .150572737 R-squared = 0.1727 -------------+------------------------------ Adj R-squared = 0.1677 Total | 90.4608614 500 .180921723 Root MSE = .38804 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3762529 .0379495 9.91 0.000 .3016916 .4508141 exper | .0164951 .0194871 0.85 0.398 -.0217922 .0547825 exper_2 | -.0007023 .0016009 -0.44 0.661 -.0038477 .0024431 _cons | 2.144717 .0550594 38.95 0.000 2.036539 2.252895 ------------------------------------------------------------------------------ (549 real changes made) (analytic weights assumed) (sum of wgt is 8.8434e+05) Source | SS df MS Number of obs = 520 -------------+------------------------------ F( 3, 516) = 16.99 Model | 11.3352424 3 3.77841412 Prob > F = 0.0000 Residual | 114.73443 516 .222353547 R-squared = 0.0899 -------------+------------------------------ Adj R-squared = 0.0846 Total | 126.069673 519 .24290881 Root MSE = .47154 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .2815584 .0467964 6.02 0.000 .1896236 .3734932 exper | .0870314 .0272293 3.20 0.001 .0335375 .1405253 exper_2 | -.0059199 .0023119 -2.56 0.011 -.0104618 -.001378 _cons | 2.024466 .0723278 27.99 0.000 1.882372 2.166559 ------------------------------------------------------------------------------ (585 real changes made) (analytic weights assumed) (sum of wgt is 9.4882e+05) Source | SS df MS Number of obs = 572 -------------+------------------------------ F( 3, 568) = 32.23 Model | 15.3362239 3 5.11207463 Prob > F = 0.0000 Residual | 90.0922133 568 .158613052 R-squared = 0.1455 -------------+------------------------------ Adj R-squared = 0.1410 Total | 105.428437 571 .184638244 Root MSE = .39826 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3520656 .0364261 9.67 0.000 .2805194 .4236118 exper | .0314046 .020321 1.55 0.123 -.0085089 .0713181 exper_2 | -.0018525 .0017709 -1.05 0.296 -.0053308 .0016258 _cons | 1.946907 .0545339 35.70 0.000 1.839795 2.05402 ------------------------------------------------------------------------------ (619 real changes made) (analytic weights assumed) (sum of wgt is 9.6757e+05) Source | SS df MS Number of obs = 514 -------------+------------------------------ F( 3, 510) = 15.40 Model | 12.2636163 3 4.08787211 Prob > F = 0.0000 Residual | 135.367768 510 .265426997 R-squared = 0.0831 -------------+------------------------------ Adj R-squared = 0.0777 Total | 147.631385 513 .287780477 Root MSE = .5152 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3349219 .056352 5.94 0.000 .2242112 .4456326 exper | .0135612 .0281755 0.48 0.631 -.0417931 .0689156 exper_2 | .0013998 .0023213 0.60 0.547 -.0031606 .0059603 _cons | 2.076449 .0740501 28.04 0.000 1.930968 2.22193 ------------------------------------------------------------------------------ (592 real changes made) (analytic weights assumed) (sum of wgt is 9.3489e+05) Source | SS df MS Number of obs = 519 -------------+------------------------------ F( 3, 515) = 24.51 Model | 12.0639897 3 4.0213299 Prob > F = 0.0000 Residual | 84.4894539 515 .164057192 R-squared = 0.1249 -------------+------------------------------ Adj R-squared = 0.1198 Total | 96.5534436 518 .186396609 Root MSE = .40504 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3250787 .0402957 8.07 0.000 .2459146 .4042429 exper | .0537418 .02169 2.48 0.014 .01113 .0963536 exper_2 | -.0026562 .0018633 -1.43 0.155 -.0063168 .0010044 _cons | 1.88816 .0581662 32.46 0.000 1.773888 2.002432 ------------------------------------------------------------------------------ (573 real changes made) (analytic weights assumed) (sum of wgt is 2.7672e+06) Source | SS df MS Number of obs = 645 -------------+------------------------------ F( 3, 641) = 20.57 Model | 12.2380276 3 4.07934254 Prob > F = 0.0000 Residual | 127.142392 641 .198350065 R-squared = 0.0878 -------------+------------------------------ Adj R-squared = 0.0835 Total | 139.38042 644 .216429223 Root MSE = .44537 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .2722738 .041242 6.60 0.000 .191288 .3532596 exper | .0791277 .0216859 3.65 0.000 .0365437 .1217117 exper_2 | -.0049999 .001751 -2.86 0.004 -.0084382 -.0015616 _cons | 2.111756 .0610688 34.58 0.000 1.991837 2.231675 ------------------------------------------------------------------------------ (693 real changes made) (analytic weights assumed) (sum of wgt is 2.5424e+06) Source | SS df MS Number of obs = 609 -------------+------------------------------ F( 3, 605) = 29.32 Model | 18.0698153 3 6.02327177 Prob > F = 0.0000 Residual | 124.294195 605 .205444951 R-squared = 0.1269 -------------+------------------------------ Adj R-squared = 0.1226 Total | 142.36401 608 .234151333 Root MSE = .45326 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3451964 .040561 8.51 0.000 .2655389 .4248539 exper | .0880038 .0227317 3.87 0.000 .0433612 .1326464 exper_2 | -.0051899 .0019579 -2.65 0.008 -.0090349 -.0013448 _cons | 1.844777 .061922 29.79 0.000 1.723169 1.966386 ------------------------------------------------------------------------------ (641 real changes made) (analytic weights assumed) (sum of wgt is 4.2194e+06) Source | SS df MS Number of obs = 608 -------------+------------------------------ F( 3, 604) = 31.78 Model | 20.6380027 3 6.87933424 Prob > F = 0.0000 Residual | 130.754677 604 .216481254 R-squared = 0.1363 -------------+------------------------------ Adj R-squared = 0.1320 Total | 151.39268 607 .249411334 Root MSE = .46528 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3622169 .0448548 8.08 0.000 .2741267 .4503072 exper | .0773664 .0234322 3.30 0.001 .031348 .1233848 exper_2 | -.0029573 .0019261 -1.54 0.125 -.0067399 .0008252 _cons | 1.984883 .0646479 30.70 0.000 1.857921 2.111845 ------------------------------------------------------------------------------ (676 real changes made) (analytic weights assumed) (sum of wgt is 3.3796e+06) Source | SS df MS Number of obs = 506 -------------+------------------------------ F( 3, 502) = 32.04 Model | 16.5165386 3 5.50551286 Prob > F = 0.0000 Residual | 86.2498787 502 .171812507 R-squared = 0.1607 -------------+------------------------------ Adj R-squared = 0.1557 Total | 102.766417 505 .203497856 Root MSE = .4145 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3405412 .0404488 8.42 0.000 .2610715 .420011 exper | .0962906 .0228704 4.21 0.000 .0513571 .1412241 exper_2 | -.0063578 .0019033 -3.34 0.001 -.0100973 -.0026183 _cons | 1.843576 .063144 29.20 0.000 1.719517 1.967635 ------------------------------------------------------------------------------ (577 real changes made) (analytic weights assumed) (sum of wgt is 1.1185e+06) Source | SS df MS Number of obs = 430 -------------+------------------------------ F( 3, 426) = 22.30 Model | 12.6476889 3 4.2158963 Prob > F = 0.0000 Residual | 80.5202584 426 .189014691 R-squared = 0.1358 -------------+------------------------------ Adj R-squared = 0.1297 Total | 93.1679473 429 .217174702 Root MSE = .43476 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3803634 .0486845 7.81 0.000 .2846716 .4760552 exper | .0715097 .0264482 2.70 0.007 .0195246 .1234948 exper_2 | -.0031577 .002063 -1.53 0.127 -.0072125 .0008972 _cons | 2.134146 .0813406 26.24 0.000 1.974267 2.294025 ------------------------------------------------------------------------------ (477 real changes made) (analytic weights assumed) (sum of wgt is 1.1004e+06) Source | SS df MS Number of obs = 452 -------------+------------------------------ F( 3, 448) = 29.41 Model | 15.6521497 3 5.21738324 Prob > F = 0.0000 Residual | 79.4746565 448 .177398787 R-squared = 0.1645 -------------+------------------------------ Adj R-squared = 0.1589 Total | 95.1268062 451 .210924182 Root MSE = .42119 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3811452 .0443382 8.60 0.000 .2940085 .4682819 exper | .0888788 .0237847 3.74 0.000 .0421355 .1356222 exper_2 | -.0053708 .0019444 -2.76 0.006 -.0091921 -.0015495 _cons | 1.990528 .069804 28.52 0.000 1.853344 2.127712 ------------------------------------------------------------------------------ (486 real changes made) (analytic weights assumed) (sum of wgt is 7.3277e+06) Source | SS df MS Number of obs = 449 -------------+------------------------------ F( 3, 445) = 23.44 Model | 14.1939156 3 4.7313052 Prob > F = 0.0000 Residual | 89.8366572 445 .201880129 R-squared = 0.1364 -------------+------------------------------ Adj R-squared = 0.1306 Total | 104.030573 448 .2322111 Root MSE = .44931 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3329471 .0473064 7.04 0.000 .2399753 .4259189 exper | .1135639 .0274211 4.14 0.000 .059673 .1674549 exper_2 | -.0073715 .002096 -3.52 0.000 -.0114908 -.0032522 _cons | 2.096922 .0861504 24.34 0.000 1.92761 2.266234 ------------------------------------------------------------------------------ (486 real changes made) (analytic weights assumed) (sum of wgt is 7.8342e+06) Source | SS df MS Number of obs = 504 -------------+------------------------------ F( 3, 500) = 50.92 Model | 24.98805 3 8.32935001 Prob > F = 0.0000 Residual | 81.785522 500 .163571044 R-squared = 0.2340 -------------+------------------------------ Adj R-squared = 0.2294 Total | 106.773572 503 .212273503 Root MSE = .40444 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4514338 .040312 11.20 0.000 .3722321 .5306356 exper | .0821893 .0214202 3.84 0.000 .0401046 .124274 exper_2 | -.0053093 .0017076 -3.11 0.002 -.0086643 -.0019544 _cons | 2.035992 .0661749 30.77 0.000 1.905976 2.166007 ------------------------------------------------------------------------------ (548 real changes made) (analytic weights assumed) (sum of wgt is 9.8007e+05) Source | SS df MS Number of obs = 480 -------------+------------------------------ F( 3, 476) = 35.46 Model | 24.3325646 3 8.11085485 Prob > F = 0.0000 Residual | 108.872834 476 .228724441 R-squared = 0.1827 -------------+------------------------------ Adj R-squared = 0.1775 Total | 133.205399 479 .278090602 Root MSE = .47825 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4647474 .0505394 9.20 0.000 .3654394 .5640553 exper | .1238303 .0264019 4.69 0.000 .0719517 .1757089 exper_2 | -.0083473 .0022917 -3.64 0.000 -.0128504 -.0038443 _cons | 1.929428 .083282 23.17 0.000 1.765783 2.093074 ------------------------------------------------------------------------------ (532 real changes made) (analytic weights assumed) (sum of wgt is 1.0618e+06) Source | SS df MS Number of obs = 577 -------------+------------------------------ F( 3, 573) = 43.59 Model | 29.7768366 3 9.9256122 Prob > F = 0.0000 Residual | 130.486282 573 .227724751 R-squared = 0.1858 -------------+------------------------------ Adj R-squared = 0.1815 Total | 160.263119 576 .278234581 Root MSE = .47721 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4890888 .0499257 9.80 0.000 .391029 .5871485 exper | .1137809 .0215725 5.27 0.000 .07141 .1561518 exper_2 | -.0071714 .0019888 -3.61 0.000 -.0110776 -.0032651 _cons | 1.914155 .0674284 28.39 0.000 1.781719 2.046592 ------------------------------------------------------------------------------ (635 real changes made) (analytic weights assumed) (sum of wgt is 1.0111e+07) Source | SS df MS Number of obs = 654 -------------+------------------------------ F( 3, 650) = 54.74 Model | 34.0922145 3 11.3640715 Prob > F = 0.0000 Residual | 134.932799 650 .207588922 R-squared = 0.2017 -------------+------------------------------ Adj R-squared = 0.1980 Total | 169.025014 653 .258843819 Root MSE = .45562 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .5047493 .0400504 12.60 0.000 .4261055 .583393 exper | .0364816 .0238915 1.53 0.127 -.0104322 .0833953 exper_2 | -.0002793 .0019158 -0.15 0.884 -.0040412 .0034826 _cons | 2.121284 .0700699 30.27 0.000 1.983693 2.258875 ------------------------------------------------------------------------------ (715 real changes made) (analytic weights assumed) (sum of wgt is 9.5455e+06) Source | SS df MS Number of obs = 649 -------------+------------------------------ F( 3, 645) = 47.71 Model | 31.530111 3 10.510037 Prob > F = 0.0000 Residual | 142.079889 645 .220278897 R-squared = 0.1816 -------------+------------------------------ Adj R-squared = 0.1778 Total | 173.61 648 .267916666 Root MSE = .46934 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4699358 .0425141 11.05 0.000 .386453 .5534186 exper | .0560585 .0219092 2.56 0.011 .0130366 .0990805 exper_2 | -.003868 .0017241 -2.24 0.025 -.0072535 -.0004825 _cons | 2.033771 .0677751 30.01 0.000 1.900684 2.166857 ------------------------------------------------------------------------------ (717 real changes made) (analytic weights assumed) (sum of wgt is 2.0522e+06) Source | SS df MS Number of obs = 432 -------------+------------------------------ F( 3, 428) = 28.96 Model | 14.1072085 3 4.70240283 Prob > F = 0.0000 Residual | 69.5013114 428 .162386242 R-squared = 0.1687 -------------+------------------------------ Adj R-squared = 0.1629 Total | 83.6085199 431 .193987285 Root MSE = .40297 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4240769 .0490635 8.64 0.000 .3276416 .5205123 exper | .0832263 .0233957 3.56 0.000 .0372415 .129211 exper_2 | -.0043894 .0017965 -2.44 0.015 -.0079205 -.0008583 _cons | 1.937811 .0708098 27.37 0.000 1.798633 2.076989 ------------------------------------------------------------------------------ (524 real changes made) (analytic weights assumed) (sum of wgt is 1.9203e+06) Source | SS df MS Number of obs = 419 -------------+------------------------------ F( 3, 415) = 35.03 Model | 15.0390029 3 5.01300095 Prob > F = 0.0000 Residual | 59.3910269 415 .143110908 R-squared = 0.2021 -------------+------------------------------ Adj R-squared = 0.1963 Total | 74.4300297 418 .178062272 Root MSE = .3783 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4268777 .0431517 9.89 0.000 .3420546 .5117009 exper | .051427 .0235786 2.18 0.030 .0050787 .0977754 exper_2 | -.0022332 .0019225 -1.16 0.246 -.0060122 .0015459 _cons | 1.878 .0659285 28.49 0.000 1.748404 2.007595 ------------------------------------------------------------------------------ (493 real changes made) (analytic weights assumed) (sum of wgt is 1.1023e+07) Source | SS df MS Number of obs = 1076 -------------+------------------------------ F( 3, 1072) = 54.85 Model | 30.3776819 3 10.125894 Prob > F = 0.0000 Residual | 197.890152 1072 .184599023 R-squared = 0.1331 -------------+------------------------------ Adj R-squared = 0.1307 Total | 228.267834 1075 .212342171 Root MSE = .42965 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3783767 .0319238 11.85 0.000 .3157364 .4410169 exper | .0827648 .0172709 4.79 0.000 .0488762 .1166534 exper_2 | -.0041622 .0013029 -3.19 0.001 -.0067188 -.0016056 _cons | 2.056951 .0533786 38.54 0.000 1.952212 2.161689 ------------------------------------------------------------------------------ (1189 real changes made) (analytic weights assumed) (sum of wgt is 1.1156e+07) Source | SS df MS Number of obs = 1138 -------------+------------------------------ F( 3, 1134) = 76.48 Model | 35.9216379 3 11.9738793 Prob > F = 0.0000 Residual | 177.544802 1134 .156565081 R-squared = 0.1683 -------------+------------------------------ Adj R-squared = 0.1661 Total | 213.46644 1137 .18774533 Root MSE = .39568 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3601991 .0269784 13.35 0.000 .3072658 .4131324 exper | .1114724 .0141007 7.91 0.000 .0838061 .1391388 exper_2 | -.0078535 .0011231 -6.99 0.000 -.010057 -.00565 _cons | 1.864629 .0430117 43.35 0.000 1.780238 1.949021 ------------------------------------------------------------------------------ (1261 real changes made) (analytic weights assumed) (sum of wgt is 5.0259e+06) Source | SS df MS Number of obs = 408 -------------+------------------------------ F( 3, 404) = 29.71 Model | 12.684759 3 4.22825299 Prob > F = 0.0000 Residual | 57.5032097 404 .142334677 R-squared = 0.1807 -------------+------------------------------ Adj R-squared = 0.1746 Total | 70.1879687 407 .172452012 Root MSE = .37727 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4375618 .0477286 9.17 0.000 .3437344 .5313892 exper | .0660566 .0250579 2.64 0.009 .0167964 .1153167 exper_2 | -.0032822 .0019061 -1.72 0.086 -.0070294 .000465 _cons | 2.101587 .078106 26.91 0.000 1.948043 2.255132 ------------------------------------------------------------------------------ (446 real changes made) (analytic weights assumed) (sum of wgt is 4.9664e+06) Source | SS df MS Number of obs = 426 -------------+------------------------------ F( 3, 422) = 23.52 Model | 11.9889911 3 3.99633037 Prob > F = 0.0000 Residual | 71.69864 422 .16990199 R-squared = 0.1433 -------------+------------------------------ Adj R-squared = 0.1372 Total | 83.6876311 425 .196912073 Root MSE = .41219 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3393877 .0454417 7.47 0.000 .2500675 .4287079 exper | .0857121 .0252661 3.39 0.001 .0360491 .1353752 exper_2 | -.0057535 .0019493 -2.95 0.003 -.0095851 -.0019218 _cons | 1.90013 .0778151 24.42 0.000 1.747177 2.053084 ------------------------------------------------------------------------------ (471 real changes made) (analytic weights assumed) (sum of wgt is 1.1759e+07) Source | SS df MS Number of obs = 735 -------------+------------------------------ F( 3, 731) = 59.81 Model | 34.6733122 3 11.5577707 Prob > F = 0.0000 Residual | 141.252148 731 .193231392 R-squared = 0.1971 -------------+------------------------------ Adj R-squared = 0.1938 Total | 175.92546 734 .239680463 Root MSE = .43958 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4851008 .0375105 12.93 0.000 .4114596 .558742 exper | .0761277 .0213798 3.56 0.000 .0341547 .1181008 exper_2 | -.0025269 .0016193 -1.56 0.119 -.0057059 .000652 _cons | 2.018417 .0684174 29.50 0.000 1.884099 2.152735 ------------------------------------------------------------------------------ (829 real changes made) (analytic weights assumed) (sum of wgt is 1.2493e+07) Source | SS df MS Number of obs = 827 -------------+------------------------------ F( 3, 823) = 74.23 Model | 38.6816333 3 12.8938778 Prob > F = 0.0000 Residual | 142.958024 823 .173703553 R-squared = 0.2130 -------------+------------------------------ Adj R-squared = 0.2101 Total | 181.639657 826 .219902733 Root MSE = .41678 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4381693 .0320638 13.67 0.000 .3752329 .5011057 exper | .0975641 .0193226 5.05 0.000 .0596367 .1354914 exper_2 | -.0067376 .0015485 -4.35 0.000 -.009777 -.0036982 _cons | 1.924946 .0570218 33.76 0.000 1.813021 2.036872 ------------------------------------------------------------------------------ (911 real changes made) (analytic weights assumed) (sum of wgt is 1.8877e+07) Source | SS df MS Number of obs = 1689 -------------+------------------------------ F( 3, 1685) = 73.75 Model | 52.188498 3 17.396166 Prob > F = 0.0000 Residual | 397.448257 1685 .235874336 R-squared = 0.1161 -------------+------------------------------ Adj R-squared = 0.1145 Total | 449.636755 1688 .266372485 Root MSE = .48567 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4062558 .0285537 14.23 0.000 .3502513 .4622602 exper | .0569047 .0156025 3.65 0.000 .0263024 .0875071 exper_2 | -.0024142 .0012154 -1.99 0.047 -.0047982 -.0000303 _cons | 2.073356 .0467441 44.36 0.000 1.981673 2.165038 ------------------------------------------------------------------------------ (1908 real changes made) (analytic weights assumed) (sum of wgt is 1.9306e+07) Source | SS df MS Number of obs = 1804 -------------+------------------------------ F( 3, 1800) = 104.01 Model | 53.2061898 3 17.7353966 Prob > F = 0.0000 Residual | 306.918295 1800 .170510164 R-squared = 0.1477 -------------+------------------------------ Adj R-squared = 0.1463 Total | 360.124485 1803 .199736265 Root MSE = .41293 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .371006 .0220571 16.82 0.000 .3277457 .4142663 exper | .0686521 .0114912 5.97 0.000 .0461146 .0911895 exper_2 | -.003887 .0009452 -4.11 0.000 -.0057409 -.0020332 _cons | 1.969998 .0333005 59.16 0.000 1.904687 2.03531 ------------------------------------------------------------------------------ (2033 real changes made) (analytic weights assumed) (sum of wgt is 5.5883e+06) Source | SS df MS Number of obs = 528 -------------+------------------------------ F( 3, 524) = 15.91 Model | 8.32798677 3 2.77599559 Prob > F = 0.0000 Residual | 91.4225034 524 .174470426 R-squared = 0.0835 -------------+------------------------------ Adj R-squared = 0.0782 Total | 99.7504902 527 .189279867 Root MSE = .4177 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3113496 .0458884 6.78 0.000 .2212017 .4014974 exper | .0302377 .0249795 1.21 0.227 -.0188345 .0793098 exper_2 | -.0011002 .0019275 -0.57 0.568 -.0048867 .0026863 _cons | 2.18957 .0760507 28.79 0.000 2.040168 2.338972 ------------------------------------------------------------------------------ (608 real changes made) (analytic weights assumed) (sum of wgt is 5.3488e+06) Source | SS df MS Number of obs = 527 -------------+------------------------------ F( 3, 523) = 44.68 Model | 19.0974073 3 6.36580244 Prob > F = 0.0000 Residual | 74.5133487 523 .142472942 R-squared = 0.2040 -------------+------------------------------ Adj R-squared = 0.1994 Total | 93.610756 526 .177967217 Root MSE = .37746 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4434124 .0404947 10.95 0.000 .3638603 .5229646 exper | .0731652 .0218237 3.35 0.001 .0302924 .116038 exper_2 | -.004949 .0017017 -2.91 0.004 -.008292 -.001606 _cons | 1.934921 .0652345 29.66 0.000 1.806767 2.063075 ------------------------------------------------------------------------------ (618 real changes made) (analytic weights assumed) (sum of wgt is 7.2648e+06) Source | SS df MS Number of obs = 480 -------------+------------------------------ F( 3, 476) = 29.89 Model | 17.0078382 3 5.66927939 Prob > F = 0.0000 Residual | 90.2889813 476 .189682734 R-squared = 0.1585 -------------+------------------------------ Adj R-squared = 0.1532 Total | 107.296819 479 .224001711 Root MSE = .43553 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3860133 .0479959 8.04 0.000 .2917032 .4803234 exper | .113322 .0276578 4.10 0.000 .0589756 .1676684 exper_2 | -.0056155 .0020776 -2.70 0.007 -.0096978 -.0015331 _cons | 1.846676 .0866629 21.31 0.000 1.676386 2.016965 ------------------------------------------------------------------------------ (562 real changes made) (analytic weights assumed) (sum of wgt is 7.7722e+06) Source | SS df MS Number of obs = 543 -------------+------------------------------ F( 3, 539) = 35.65 Model | 19.0436254 3 6.34787512 Prob > F = 0.0000 Residual | 95.9762136 539 .178063476 R-squared = 0.1656 -------------+------------------------------ Adj R-squared = 0.1609 Total | 115.019839 542 .212213725 Root MSE = .42198 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .432745 .0436715 9.91 0.000 .3469578 .5185321 exper | .0831871 .0231525 3.59 0.000 .037707 .1286673 exper_2 | -.0049935 .0017976 -2.78 0.006 -.0085247 -.0014623 _cons | 1.8487 .0694263 26.63 0.000 1.712321 1.985079 ------------------------------------------------------------------------------ (618 real changes made) (analytic weights assumed) (sum of wgt is 6.0574e+06) Source | SS df MS Number of obs = 528 -------------+------------------------------ F( 3, 524) = 45.51 Model | 20.5031457 3 6.8343819 Prob > F = 0.0000 Residual | 78.6913899 524 .150174408 R-squared = 0.2067 -------------+------------------------------ Adj R-squared = 0.2022 Total | 99.1945356 527 .188224925 Root MSE = .38752 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4512569 .0431863 10.45 0.000 .3664174 .5360964 exper | .0861984 .0216988 3.97 0.000 .0435712 .1288257 exper_2 | -.0042141 .0017321 -2.43 0.015 -.0076169 -.0008113 _cons | 1.975442 .063088 31.31 0.000 1.851505 2.099378 ------------------------------------------------------------------------------ (614 real changes made) (analytic weights assumed) (sum of wgt is 5.7258e+06) Source | SS df MS Number of obs = 524 -------------+------------------------------ F( 3, 520) = 44.49 Model | 28.1550105 3 9.38500352 Prob > F = 0.0000 Residual | 109.701134 520 .210963718 R-squared = 0.2042 -------------+------------------------------ Adj R-squared = 0.1996 Total | 137.856144 523 .263587274 Root MSE = .45931 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4966395 .045164 11.00 0.000 .4079131 .5853659 exper | .0637874 .0242652 2.63 0.009 .0161176 .1114573 exper_2 | -.0040403 .001956 -2.07 0.039 -.0078828 -.0001978 _cons | 1.951039 .0716698 27.22 0.000 1.810241 2.091837 ------------------------------------------------------------------------------ (601 real changes made) (analytic weights assumed) (sum of wgt is 3.3675e+06) Source | SS df MS Number of obs = 418 -------------+------------------------------ F( 3, 414) = 30.14 Model | 13.9370871 3 4.64569569 Prob > F = 0.0000 Residual | 63.8102129 414 .154130949 R-squared = 0.1793 -------------+------------------------------ Adj R-squared = 0.1733 Total | 77.7473 417 .186444364 Root MSE = .3926 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3817586 .047378 8.06 0.000 .2886272 .47489 exper | .0748789 .026687 2.81 0.005 .02242 .1273379 exper_2 | -.0030362 .0020983 -1.45 0.149 -.0071609 .0010885 _cons | 1.943119 .0764919 25.40 0.000 1.792758 2.09348 ------------------------------------------------------------------------------ (478 real changes made) (analytic weights assumed) (sum of wgt is 3.4541e+06) Source | SS df MS Number of obs = 458 -------------+------------------------------ F( 3, 454) = 34.09 Model | 14.9273697 3 4.9757899 Prob > F = 0.0000 Residual | 66.2624071 454 .145952439 R-squared = 0.1839 -------------+------------------------------ Adj R-squared = 0.1785 Total | 81.1897768 457 .177658155 Root MSE = .38204 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3806047 .0409774 9.29 0.000 .3000758 .4611336 exper | .0531836 .0241101 2.21 0.028 .0058023 .1005649 exper_2 | -.004454 .001955 -2.28 0.023 -.0082959 -.0006121 _cons | 1.973659 .0678073 29.11 0.000 1.840404 2.106914 ------------------------------------------------------------------------------ (527 real changes made) (analytic weights assumed) (sum of wgt is 3.6228e+06) Source | SS df MS Number of obs = 531 -------------+------------------------------ F( 3, 527) = 17.06 Model | 14.0487617 3 4.68292058 Prob > F = 0.0000 Residual | 144.66141 527 .27449983 R-squared = 0.0885 -------------+------------------------------ Adj R-squared = 0.0833 Total | 158.710172 530 .299453155 Root MSE = .52393 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3812211 .0578754 6.59 0.000 .2675263 .4949159 exper | .078598 .0290899 2.70 0.007 .0214517 .1357443 exper_2 | -.0041925 .0022381 -1.87 0.062 -.0085893 .0002042 _cons | 1.957983 .0875347 22.37 0.000 1.786023 2.129943 ------------------------------------------------------------------------------ (614 real changes made) (analytic weights assumed) (sum of wgt is 3.6747e+06) Source | SS df MS Number of obs = 566 -------------+------------------------------ F( 3, 562) = 38.84 Model | 22.4103486 3 7.47011619 Prob > F = 0.0000 Residual | 108.090335 562 .192331558 R-squared = 0.1717 -------------+------------------------------ Adj R-squared = 0.1673 Total | 130.500684 565 .230974662 Root MSE = .43856 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4942588 .0459672 10.75 0.000 .4039703 .5845474 exper | .0125055 .0226803 0.55 0.582 -.0320431 .057054 exper_2 | .0001148 .0017698 0.06 0.948 -.0033614 .003591 _cons | 1.944504 .0686691 28.32 0.000 1.809625 2.079384 ------------------------------------------------------------------------------ (641 real changes made) (analytic weights assumed) (sum of wgt is 5.7847e+06) Source | SS df MS Number of obs = 504 -------------+------------------------------ F( 3, 500) = 20.17 Model | 14.1808151 3 4.72693838 Prob > F = 0.0000 Residual | 117.194999 500 .234389999 R-squared = 0.1079 -------------+------------------------------ Adj R-squared = 0.1026 Total | 131.375814 503 .261184522 Root MSE = .48414 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4042061 .0524492 7.71 0.000 .301158 .5072541 exper | .0164002 .026869 0.61 0.542 -.0363899 .0691903 exper_2 | .0003653 .002127 0.17 0.864 -.0038137 .0045444 _cons | 2.200254 .0776968 28.32 0.000 2.047601 2.352906 ------------------------------------------------------------------------------ (612 real changes made) (analytic weights assumed) (sum of wgt is 5.9969e+06) Source | SS df MS Number of obs = 564 -------------+------------------------------ F( 3, 560) = 60.88 Model | 30.7100568 3 10.2366856 Prob > F = 0.0000 Residual | 94.161934 560 .168146311 R-squared = 0.2459 -------------+------------------------------ Adj R-squared = 0.2419 Total | 124.871991 563 .221797497 Root MSE = .41006 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .5239536 .040176 13.04 0.000 .4450395 .6028677 exper | .0836279 .0205573 4.07 0.000 .043249 .1240067 exper_2 | -.0047893 .0016834 -2.84 0.005 -.0080959 -.0014827 _cons | 1.800732 .0594518 30.29 0.000 1.683957 1.917508 ------------------------------------------------------------------------------ (662 real changes made) (analytic weights assumed) (sum of wgt is 4.1943e+06) Source | SS df MS Number of obs = 542 -------------+------------------------------ F( 3, 538) = 17.93 Model | 9.9894564 3 3.3298188 Prob > F = 0.0000 Residual | 99.9364953 538 .185755567 R-squared = 0.0909 -------------+------------------------------ Adj R-squared = 0.0858 Total | 109.925952 541 .203190299 Root MSE = .43099 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .317041 .0467665 6.78 0.000 .2251737 .4089083 exper | .0723176 .0243514 2.97 0.003 .024482 .1201531 exper_2 | -.0037326 .0018688 -2.00 0.046 -.0074037 -.0000615 _cons | 2.018013 .0739175 27.30 0.000 1.872811 2.163215 ------------------------------------------------------------------------------ (615 real changes made) (analytic weights assumed) (sum of wgt is 4.0123e+06) Source | SS df MS Number of obs = 540 -------------+------------------------------ F( 3, 536) = 30.62 Model | 23.1894467 3 7.72981558 Prob > F = 0.0000 Residual | 135.322415 536 .252467192 R-squared = 0.1463 -------------+------------------------------ Adj R-squared = 0.1415 Total | 158.511862 539 .294085087 Root MSE = .50246 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4849437 .0513553 9.44 0.000 .3840614 .5858259 exper | .0423563 .0261209 1.62 0.105 -.0089556 .0936681 exper_2 | -.0017738 .0020684 -0.86 0.392 -.0058369 .0022894 _cons | 1.857695 .0758774 24.48 0.000 1.708642 2.006749 ------------------------------------------------------------------------------ (612 real changes made) (analytic weights assumed) (sum of wgt is 2.8967e+07) Source | SS df MS Number of obs = 2019 -------------+------------------------------ F( 3, 2015) = 124.76 Model | 82.0683133 3 27.3561044 Prob > F = 0.0000 Residual | 441.821459 2015 .219266233 R-squared = 0.1567 -------------+------------------------------ Adj R-squared = 0.1554 Total | 523.889773 2018 .259608411 Root MSE = .46826 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4692328 .0252214 18.60 0.000 .41977 .5186957 exper | .0517375 .0141535 3.66 0.000 .0239805 .0794944 exper_2 | -.001823 .0011028 -1.65 0.098 -.0039858 .0003397 _cons | 2.101585 .0423396 49.64 0.000 2.018551 2.184619 ------------------------------------------------------------------------------ (2248 real changes made) (analytic weights assumed) (sum of wgt is 2.6753e+07) Source | SS df MS Number of obs = 1986 -------------+------------------------------ F( 3, 1982) = 188.85 Model | 105.419597 3 35.1398655 Prob > F = 0.0000 Residual | 368.801825 1982 .186075593 R-squared = 0.2223 -------------+------------------------------ Adj R-squared = 0.2211 Total | 474.221421 1985 .238902479 Root MSE = .43136 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .5044031 .0219085 23.02 0.000 .461437 .5473692 exper | .059023 .0123781 4.77 0.000 .0347476 .0832984 exper_2 | -.0036081 .0010038 -3.59 0.000 -.0055767 -.0016395 _cons | 1.980976 .0361171 54.85 0.000 1.910144 2.051807 ------------------------------------------------------------------------------ (2208 real changes made) (analytic weights assumed) (sum of wgt is 1.2099e+06) Source | SS df MS Number of obs = 558 -------------+------------------------------ F( 3, 554) = 12.86 Model | 7.68346874 3 2.56115625 Prob > F = 0.0000 Residual | 110.29939 554 .199096371 R-squared = 0.0651 -------------+------------------------------ Adj R-squared = 0.0601 Total | 117.982858 557 .211818417 Root MSE = .4462 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .2256828 .0460393 4.90 0.000 .1352499 .3161158 exper | .0712735 .0234503 3.04 0.002 .0252111 .1173359 exper_2 | -.0034895 .001877 -1.86 0.064 -.0071764 .0001973 _cons | 1.963135 .0679944 28.87 0.000 1.829577 2.096693 ------------------------------------------------------------------------------ (662 real changes made) (analytic weights assumed) (sum of wgt is 9.8443e+05) Source | SS df MS Number of obs = 470 -------------+------------------------------ F( 3, 466) = 16.78 Model | 8.53252291 3 2.8441743 Prob > F = 0.0000 Residual | 78.9773304 466 .16947925 R-squared = 0.0975 -------------+------------------------------ Adj R-squared = 0.0917 Total | 87.5098533 469 .186588173 Root MSE = .41168 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .2858218 .0416133 6.87 0.000 .2040488 .3675947 exper | .030422 .0240367 1.27 0.206 -.0168117 .0776557 exper_2 | -.0020079 .0020809 -0.96 0.335 -.006097 .0020811 _cons | 1.922408 .0634452 30.30 0.000 1.797734 2.047083 ------------------------------------------------------------------------------ (537 real changes made) (analytic weights assumed) (sum of wgt is 1.7114e+06) Source | SS df MS Number of obs = 591 -------------+------------------------------ F( 3, 587) = 16.26 Model | 9.34359095 3 3.11453032 Prob > F = 0.0000 Residual | 112.435734 587 .191542989 R-squared = 0.0767 -------------+------------------------------ Adj R-squared = 0.0720 Total | 121.779325 590 .206405636 Root MSE = .43766 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .305095 .0481064 6.34 0.000 .2106134 .3995766 exper | .041664 .0243237 1.71 0.087 -.0061081 .089436 exper_2 | -.0015281 .0018654 -0.82 0.413 -.0051919 .0021356 _cons | 2.167124 .0713356 30.38 0.000 2.02702 2.307228 ------------------------------------------------------------------------------ (690 real changes made) (analytic weights assumed) (sum of wgt is 1.3525e+06) Source | SS df MS Number of obs = 486 -------------+------------------------------ F( 3, 482) = 24.87 Model | 12.260241 3 4.08674699 Prob > F = 0.0000 Residual | 79.2091049 482 .164334242 R-squared = 0.1340 -------------+------------------------------ Adj R-squared = 0.1286 Total | 91.4693458 485 .188596589 Root MSE = .40538 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3943519 .0478936 8.23 0.000 .3002459 .4884579 exper | .0183744 .02408 0.76 0.446 -.0289404 .0656893 exper_2 | .00044 .0018798 0.23 0.815 -.0032536 .0041337 _cons | 2.05137 .0686036 29.90 0.000 1.916571 2.186169 ------------------------------------------------------------------------------ (558 real changes made) (analytic weights assumed) (sum of wgt is 6.4099e+05) Source | SS df MS Number of obs = 479 -------------+------------------------------ F( 3, 475) = 16.05 Model | 9.45525442 3 3.15175147 Prob > F = 0.0000 Residual | 93.2930495 475 .19640642 R-squared = 0.0920 -------------+------------------------------ Adj R-squared = 0.0863 Total | 102.748304 478 .214954611 Root MSE = .44318 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3076986 .0555195 5.54 0.000 .1986045 .4167928 exper | .0838875 .0255896 3.28 0.001 .0336047 .1341704 exper_2 | -.004359 .0019859 -2.19 0.029 -.0082612 -.0004567 _cons | 2.032497 .0760982 26.71 0.000 1.882966 2.182028 ------------------------------------------------------------------------------ (543 real changes made) (analytic weights assumed) (sum of wgt is 5.8457e+05) Source | SS df MS Number of obs = 460 -------------+------------------------------ F( 3, 456) = 22.56 Model | 13.476413 3 4.49213765 Prob > F = 0.0000 Residual | 90.7953814 456 .199112678 R-squared = 0.1292 -------------+------------------------------ Adj R-squared = 0.1235 Total | 104.271794 459 .227171665 Root MSE = .44622 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3821698 .0486389 7.86 0.000 .2865856 .4777539 exper | .0561828 .0264082 2.13 0.034 .004286 .1080796 exper_2 | -.0029911 .0022148 -1.35 0.178 -.0073436 .0013614 _cons | 1.826731 .074445 24.54 0.000 1.680433 1.973029 ------------------------------------------------------------------------------ (506 real changes made) (analytic weights assumed) (sum of wgt is 7.1037e+06) Source | SS df MS Number of obs = 753 -------------+------------------------------ F( 3, 749) = 42.52 Model | 26.0032936 3 8.66776452 Prob > F = 0.0000 Residual | 152.692033 749 .203861192 R-squared = 0.1455 -------------+------------------------------ Adj R-squared = 0.1421 Total | 178.695327 752 .237626764 Root MSE = .45151 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3527577 .0355629 9.92 0.000 .2829429 .4225726 exper | .0961458 .0231479 4.15 0.000 .0507033 .1415884 exper_2 | -.0046006 .0018664 -2.46 0.014 -.0082647 -.0009365 _cons | 2.052726 .0671647 30.56 0.000 1.920872 2.184579 ------------------------------------------------------------------------------ (837 real changes made) (analytic weights assumed) (sum of wgt is 6.4928e+06) Source | SS df MS Number of obs = 706 -------------+------------------------------ F( 3, 702) = 44.88 Model | 26.7277004 3 8.90923345 Prob > F = 0.0000 Residual | 139.361386 702 .198520493 R-squared = 0.1609 -------------+------------------------------ Adj R-squared = 0.1573 Total | 166.089086 705 .235587356 Root MSE = .44556 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .329213 .0354359 9.29 0.000 .2596399 .3987861 exper | .1236394 .0212565 5.82 0.000 .0819055 .1653733 exper_2 | -.0080208 .0018094 -4.43 0.000 -.0115733 -.0044683 _cons | 1.91711 .056873 33.71 0.000 1.805448 2.028771 ------------------------------------------------------------------------------ (781 real changes made) (analytic weights assumed) (sum of wgt is 2.3247e+06) Source | SS df MS Number of obs = 567 -------------+------------------------------ F( 3, 563) = 24.50 Model | 14.3608822 3 4.78696074 Prob > F = 0.0000 Residual | 110.00859 563 .19539714 R-squared = 0.1155 -------------+------------------------------ Adj R-squared = 0.1108 Total | 124.369472 566 .219734049 Root MSE = .44204 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3628757 .0451906 8.03 0.000 .274113 .4516384 exper | .0674764 .0254273 2.65 0.008 .0175325 .1174203 exper_2 | -.0030191 .0019179 -1.57 0.116 -.0067863 .000748 _cons | 1.999657 .078567 25.45 0.000 1.845337 2.153978 ------------------------------------------------------------------------------ (625 real changes made) (analytic weights assumed) (sum of wgt is 2.0278e+06) Source | SS df MS Number of obs = 528 -------------+------------------------------ F( 3, 524) = 23.25 Model | 14.51407 3 4.83802333 Prob > F = 0.0000 Residual | 109.024442 524 .208061912 R-squared = 0.1175 -------------+------------------------------ Adj R-squared = 0.1124 Total | 123.538512 527 .234418429 Root MSE = .45614 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3570666 .0456415 7.82 0.000 .2674038 .4467294 exper | .071413 .023836 3.00 0.003 .0245871 .1182389 exper_2 | -.0045565 .0019129 -2.38 0.018 -.0083144 -.0007987 _cons | 1.896493 .0703144 26.97 0.000 1.758361 2.034626 ------------------------------------------------------------------------------ (579 real changes made) (analytic weights assumed) (sum of wgt is 6.7260e+06) Source | SS df MS Number of obs = 629 -------------+------------------------------ F( 3, 625) = 28.08 Model | 18.0491317 3 6.01637723 Prob > F = 0.0000 Residual | 133.912167 625 .214259467 R-squared = 0.1188 -------------+------------------------------ Adj R-squared = 0.1145 Total | 151.961299 628 .24197659 Root MSE = .46288 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3297789 .0454542 7.26 0.000 .2405174 .4190404 exper | .1096724 .0258485 4.24 0.000 .0589119 .1604328 exper_2 | -.0059622 .0020698 -2.88 0.004 -.0100269 -.0018976 _cons | 1.95907 .074564 26.27 0.000 1.812643 2.105496 ------------------------------------------------------------------------------ (699 real changes made) (analytic weights assumed) (sum of wgt is 6.3140e+06) Source | SS df MS Number of obs = 615 -------------+------------------------------ F( 3, 611) = 40.73 Model | 26.2477059 3 8.7492353 Prob > F = 0.0000 Residual | 131.236774 611 .214790137 R-squared = 0.1667 -------------+------------------------------ Adj R-squared = 0.1626 Total | 157.484479 614 .25648938 Root MSE = .46345 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4889786 .0455518 10.73 0.000 .3995216 .5784357 exper | .068208 .0227148 3.00 0.003 .0235995 .1128166 exper_2 | -.0045719 .001883 -2.43 0.015 -.0082698 -.000874 _cons | 1.971667 .0642442 30.69 0.000 1.845501 2.097833 ------------------------------------------------------------------------------ (671 real changes made) (analytic weights assumed) (sum of wgt is 4.3789e+06) Source | SS df MS Number of obs = 896 -------------+------------------------------ F( 3, 892) = 42.85 Model | 23.4849737 3 7.82832457 Prob > F = 0.0000 Residual | 162.943577 892 .182672171 R-squared = 0.1260 -------------+------------------------------ Adj R-squared = 0.1230 Total | 186.42855 895 .208300056 Root MSE = .4274 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .2971384 .0367705 8.08 0.000 .2249715 .3693053 exper | .0915262 .0206119 4.44 0.000 .0510727 .1319797 exper_2 | -.0047102 .0017115 -2.75 0.006 -.0080692 -.0013512 _cons | 2.060018 .0541989 38.01 0.000 1.953645 2.16639 ------------------------------------------------------------------------------ (956 real changes made) (analytic weights assumed) (sum of wgt is 3.2636e+06) Source | SS df MS Number of obs = 691 -------------+------------------------------ F( 3, 687) = 31.68 Model | 15.4682594 3 5.15608648 Prob > F = 0.0000 Residual | 111.797033 687 .162732217 R-squared = 0.1215 -------------+------------------------------ Adj R-squared = 0.1177 Total | 127.265292 690 .184442453 Root MSE = .4034 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3226683 .0353817 9.12 0.000 .2531992 .3921375 exper | .0636773 .0185135 3.44 0.001 .0273274 .1000272 exper_2 | -.0038234 .0015965 -2.39 0.017 -.006958 -.0006888 _cons | 2.019375 .0487591 41.42 0.000 1.923641 2.11511 ------------------------------------------------------------------------------ (762 real changes made) (analytic weights assumed) (sum of wgt is 2.5013e+06) Source | SS df MS Number of obs = 525 -------------+------------------------------ F( 3, 521) = 10.65 Model | 7.65373723 3 2.55124574 Prob > F = 0.0000 Residual | 124.770021 521 .239481806 R-squared = 0.0578 -------------+------------------------------ Adj R-squared = 0.0524 Total | 132.423758 524 .252717096 Root MSE = .48937 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .2482235 .0599887 4.14 0.000 .1303741 .366073 exper | .0858537 .0281174 3.05 0.002 .0306163 .141091 exper_2 | -.0042339 .0021075 -2.01 0.045 -.0083741 -.0000936 _cons | 2.122554 .0877704 24.18 0.000 1.950127 2.294982 ------------------------------------------------------------------------------ (574 real changes made) (analytic weights assumed) (sum of wgt is 2.2198e+06) Source | SS df MS Number of obs = 487 -------------+------------------------------ F( 3, 483) = 19.55 Model | 10.0748431 3 3.35828105 Prob > F = 0.0000 Residual | 82.9690789 483 .171778631 R-squared = 0.1083 -------------+------------------------------ Adj R-squared = 0.1027 Total | 93.043922 486 .191448399 Root MSE = .41446 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3356321 .0470709 7.13 0.000 .2431431 .4281211 exper | .0776145 .0262482 2.96 0.003 .0260398 .1291893 exper_2 | -.0046384 .0019441 -2.39 0.017 -.0084584 -.0008184 _cons | 2.014464 .0833234 24.18 0.000 1.850742 2.178185 ------------------------------------------------------------------------------ (535 real changes made) (analytic weights assumed) (sum of wgt is 9.0508e+06) Source | SS df MS Number of obs = 594 -------------+------------------------------ F( 3, 590) = 20.96 Model | 12.3418312 3 4.11394374 Prob > F = 0.0000 Residual | 115.781045 590 .196239059 R-squared = 0.0963 -------------+------------------------------ Adj R-squared = 0.0917 Total | 128.122876 593 .216058813 Root MSE = .44299 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .2397388 .043361 5.53 0.000 .1545782 .3248994 exper | .1083992 .0247676 4.38 0.000 .0597558 .1570426 exper_2 | -.0057649 .0019216 -3.00 0.003 -.009539 -.0019909 _cons | 2.056458 .0750902 27.39 0.000 1.908982 2.203935 ------------------------------------------------------------------------------ (662 real changes made) (analytic weights assumed) (sum of wgt is 7.7765e+06) Source | SS df MS Number of obs = 523 -------------+------------------------------ F( 3, 519) = 27.20 Model | 12.6862718 3 4.22875726 Prob > F = 0.0000 Residual | 80.697841 519 .15548717 R-squared = 0.1359 -------------+------------------------------ Adj R-squared = 0.1309 Total | 93.3841128 522 .178896768 Root MSE = .39432 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .300008 .0381151 7.87 0.000 .2251291 .3748869 exper | .0845378 .0218868 3.86 0.000 .0415402 .1275354 exper_2 | -.0058428 .0018111 -3.23 0.001 -.0094007 -.0022848 _cons | 2.044131 .0616456 33.16 0.000 1.923025 2.165236 ------------------------------------------------------------------------------ (577 real changes made) (analytic weights assumed) (sum of wgt is 5.0576e+06) Source | SS df MS Number of obs = 541 -------------+------------------------------ F( 3, 537) = 26.07 Model | 15.0906504 3 5.03021681 Prob > F = 0.0000 Residual | 103.620793 537 .192962371 R-squared = 0.1271 -------------+------------------------------ Adj R-squared = 0.1222 Total | 118.711444 540 .219836007 Root MSE = .43927 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .2879233 .0464264 6.20 0.000 .1967236 .3791229 exper | .0914034 .0255941 3.57 0.000 .0411265 .1416803 exper_2 | -.003434 .0020144 -1.70 0.089 -.007391 .000523 _cons | 1.99554 .0764944 26.09 0.000 1.845275 2.145805 ------------------------------------------------------------------------------ (610 real changes made) (analytic weights assumed) (sum of wgt is 3.9387e+06) Source | SS df MS Number of obs = 431 -------------+------------------------------ F( 3, 427) = 16.04 Model | 9.66638403 3 3.22212801 Prob > F = 0.0000 Residual | 85.7591823 427 .200841176 R-squared = 0.1013 -------------+------------------------------ Adj R-squared = 0.0950 Total | 95.4255663 430 .221919922 Root MSE = .44815 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3303434 .050636 6.52 0.000 .2308165 .4298704 exper | .0616803 .0268185 2.30 0.022 .0089676 .114393 exper_2 | -.0031966 .0022487 -1.42 0.156 -.0076164 .0012232 _cons | 2.023777 .0764575 26.47 0.000 1.873497 2.174057 ------------------------------------------------------------------------------ (483 real changes made) (analytic weights assumed) (sum of wgt is 4.4452e+07) Source | SS df MS Number of obs = 3280 -------------+------------------------------ F( 3, 3276) = 240.61 Model | 158.367773 3 52.7892578 Prob > F = 0.0000 Residual | 718.748507 3276 .219398201 R-squared = 0.1806 -------------+------------------------------ Adj R-squared = 0.1798 Total | 877.116281 3279 .267495054 Root MSE = .4684 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .4792119 .0191523 25.02 0.000 .4416601 .5167636 exper | .0771982 .0105259 7.33 0.000 .0565602 .0978362 exper_2 | -.0037226 .0008379 -4.44 0.000 -.0053654 -.0020798 _cons | 2.095551 .0305197 68.66 0.000 2.035711 2.15539 ------------------------------------------------------------------------------ (3736 real changes made) (analytic weights assumed) (sum of wgt is 4.0343e+07) Source | SS df MS Number of obs = 3147 -------------+------------------------------ F( 3, 3143) = 302.69 Model | 193.526585 3 64.5088617 Prob > F = 0.0000 Residual | 669.839227 3143 .213120976 R-squared = 0.2242 -------------+------------------------------ Adj R-squared = 0.2234 Total | 863.365813 3146 .274432871 Root MSE = .46165 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .5018342 .0179897 27.90 0.000 .4665615 .5371068 exper | .0929664 .0100785 9.22 0.000 .0732053 .1127275 exper_2 | -.0058677 .0008406 -6.98 0.000 -.007516 -.0042195 _cons | 1.975259 .0280785 70.35 0.000 1.920205 2.030313 ------------------------------------------------------------------------------ (3528 real changes made) (analytic weights assumed) (sum of wgt is 6.6114e+05) Source | SS df MS Number of obs = 379 -------------+------------------------------ F( 3, 375) = 5.54 Model | 3.92679037 3 1.30893012 Prob > F = 0.0010 Residual | 88.5475983 375 .236126929 R-squared = 0.0425 -------------+------------------------------ Adj R-squared = 0.0348 Total | 92.4743887 378 .24464124 Root MSE = .48593 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .2097873 .0614866 3.41 0.001 .0888855 .3306891 exper | .0329933 .0349796 0.94 0.346 -.0357874 .101774 exper_2 | -.0005168 .0026794 -0.19 0.847 -.0057852 .0047516 _cons | 2.322957 .1066728 21.78 0.000 2.113206 2.532709 ------------------------------------------------------------------------------ (455 real changes made) (analytic weights assumed) (sum of wgt is 7.2771e+05) Source | SS df MS Number of obs = 424 -------------+------------------------------ F( 3, 420) = 11.80 Model | 7.16096225 3 2.38698742 Prob > F = 0.0000 Residual | 84.97944 420 .202332 R-squared = 0.0777 -------------+------------------------------ Adj R-squared = 0.0711 Total | 92.1404023 423 .21782601 Root MSE = .44981 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .2945948 .0540858 5.45 0.000 .1882822 .4009073 exper | .0739309 .0278423 2.66 0.008 .0192034 .1286584 exper_2 | -.005042 .0022373 -2.25 0.025 -.0094398 -.0006442 _cons | 2.151575 .0816799 26.34 0.000 1.991022 2.312127 ------------------------------------------------------------------------------ (477 real changes made) (analytic weights assumed) (sum of wgt is 1.6736e+06) Source | SS df MS Number of obs = 429 -------------+------------------------------ F( 3, 425) = 21.08 Model | 10.8340082 3 3.61133607 Prob > F = 0.0000 Residual | 72.797409 425 .171288021 R-squared = 0.1295 -------------+------------------------------ Adj R-squared = 0.1234 Total | 83.6314172 428 .195400507 Root MSE = .41387 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .3629959 .0518589 7.00 0.000 .261064 .4649277 exper | .0644431 .025826 2.50 0.013 .0136804 .1152058 exper_2 | -.0023278 .0019206 -1.21 0.226 -.0061028 .0014472 _cons | 2.082051 .0800336 26.01 0.000 1.92474 2.239362 ------------------------------------------------------------------------------ (506 real changes made) (analytic weights assumed) (sum of wgt is 1.7657e+06) Source | SS df MS Number of obs = 446 -------------+------------------------------ F( 3, 442) = 13.60 Model | 7.75040045 3 2.58346682 Prob > F = 0.0000 Residual | 83.9889004 442 .190020137 R-squared = 0.0845 -------------+------------------------------ Adj R-squared = 0.0783 Total | 91.7393008 445 .206155732 Root MSE = .43591 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- ba | .2884741 .0482726 5.98 0.000 .1936017 .3833465 exper | .0509544 .0278556 1.83 0.068 -.0037914 .1057002 exper_2 | -.0032515 .002229 -1.46 0.145 -.0076322 .0011292 _cons | 2.044213 .0790596 25.86 0.000 1.888834 2.199593 ------------------------------------------------------------------------------ (492 real changes made) . *==================================================== > Step 4: Collapse data and export file > *====================================================; . collapse lwagepred, by(stateabb female ba); . outsheet using statecpswages.csv, comma nolabel replace; (note: file statecpswages.csv not found) . log close; log: /hdir/0/ebenstei/morg/kevin/morg_kevin.log log type: text closed on: 27 Apr 2007, 15:37:00 -------------------------------------------------------------------------------