---------------------------------------------------------------------------------- name: log: C:\Users\LabProf01\Desktop\Card_log.log log type: text opened on: 31 May 2023, 16:40:52 . reg educ exper nearc4 south smsa black expersq smsa66 reg662-reg669 Source | SS df MS Number of obs = 3,010 -------------+---------------------------------- F(15, 2994) = 182.13 Model | 10287.6179 15 685.841194 Prob > F = 0.0000 Residual | 11274.4622 2,994 3.76568542 R-squared = 0.4771 -------------+---------------------------------- Adj R-squared = 0.4745 Total | 21562.0801 3,009 7.16586243 Root MSE = 1.9405 ------------------------------------------------------------------------------ educ | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- exper | -.4125334 .0336996 -12.24 0.000 -.4786101 -.3464566 nearc4 | .3198989 .0878638 3.64 0.000 .1476194 .4921785 south | -.0516126 .1354284 -0.38 0.703 -.3171548 .2139296 smsa | .4021825 .1048112 3.84 0.000 .1966732 .6076918 black | -.9355287 .0937348 -9.98 0.000 -1.11932 -.7517377 expersq | .0008686 .0016504 0.53 0.599 -.0023674 .0041046 smsa66 | .0254805 .1057692 0.24 0.810 -.1819071 .2328682 reg662 | -.0786363 .1871154 -0.42 0.674 -.4455241 .2882514 reg663 | -.027939 .1833745 -0.15 0.879 -.3874918 .3316139 reg664 | .117182 .2172531 0.54 0.590 -.3087984 .5431624 reg665 | -.2726165 .2184204 -1.25 0.212 -.7008858 .1556528 reg666 | -.3028147 .2370712 -1.28 0.202 -.7676536 .1620242 reg667 | -.2168177 .2343879 -0.93 0.355 -.6763953 .2427598 reg668 | .5238914 .2674749 1.96 0.050 -.0005618 1.048344 reg669 | .210271 .2024568 1.04 0.299 -.1866975 .6072395 _cons | 16.63825 .2406297 69.14 0.000 16.16644 17.11007 ------------------------------------------------------------------------------ . predict educ_res, res . reg lwage educ exper south smsa black expersq smsa66 reg662-reg669 educ_res Source | SS df MS Number of obs = 3,010 -------------+---------------------------------- F(16, 2993) = 80.21 Model | 177.857408 16 11.116088 Prob > F = 0.0000 Residual | 414.784236 2,993 .138584777 R-squared = 0.3001 -------------+---------------------------------- Adj R-squared = 0.2964 Total | 592.641645 3,009 .196956346 Root MSE = .37227 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .1315038 .0526906 2.50 0.013 .0281904 .2348172 exper | .1082711 .0226801 4.77 0.000 .0638008 .1527413 south | -.1446715 .0261562 -5.53 0.000 -.1959575 -.0933855 smsa | .1118083 .0303526 3.68 0.000 .0522943 .1713223 black | -.1467758 .0516708 -2.84 0.005 -.2480896 -.045462 expersq | -.0023349 .0003197 -7.30 0.000 -.0029618 -.0017081 smsa66 | .0185311 .0207149 0.89 0.371 -.0220858 .0591481 reg662 | .1007678 .0361272 2.79 0.005 .0299312 .1716044 reg663 | .1482588 .0352916 4.20 0.000 .0790604 .2174571 reg664 | .0498971 .0419309 1.19 0.234 -.0323192 .1321134 reg665 | .1462719 .0451176 3.24 0.001 .0578073 .2347365 reg666 | .1629029 .0497628 3.27 0.001 .0653302 .2604757 reg667 | .1345722 .0473592 2.84 0.005 .0417123 .2274321 reg668 | -.083077 .0568776 -1.46 0.144 -.1946002 .0284462 reg669 | .1078142 .0400844 2.69 0.007 .0292184 .1864101 educ_res | -.0570621 .0528071 -1.08 0.280 -.1606039 .0464798 _cons | 3.666152 .8865821 4.14 0.000 1.92778 5.404524 ------------------------------------------------------------------------------ . reg lwage educ exper south smsa black expersq smsa66 reg662-reg669 Source | SS df MS Number of obs = 3,010 -------------+---------------------------------- F(15, 2994) = 85.48 Model | 177.695591 15 11.8463727 Prob > F = 0.0000 Residual | 414.946054 2,994 .138592536 R-squared = 0.2998 -------------+---------------------------------- Adj R-squared = 0.2963 Total | 592.641645 3,009 .196956346 Root MSE = .37228 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .0746933 .0034983 21.35 0.000 .0678339 .0815527 exper | .084832 .0066242 12.81 0.000 .0718435 .0978205 south | -.147955 .0259799 -5.69 0.000 -.1988952 -.0970148 smsa | .1363845 .0201005 6.79 0.000 .0969724 .1757967 black | -.1990123 .0182483 -10.91 0.000 -.2347927 -.1632318 expersq | -.002287 .0003166 -7.22 0.000 -.0029079 -.0016662 smsa66 | .0262417 .0194477 1.35 0.177 -.0118905 .0643739 reg662 | .0963672 .0358979 2.68 0.007 .0259801 .1667542 reg663 | .14454 .0351244 4.12 0.000 .0756696 .2134105 reg664 | .0550756 .0416573 1.32 0.186 -.0266043 .1367554 reg665 | .1280248 .0418395 3.06 0.002 .0459878 .2100618 reg666 | .1405174 .0452469 3.11 0.002 .0517992 .2292356 reg667 | .117981 .0448025 2.63 0.008 .0301343 .2058277 reg668 | -.0564361 .0512579 -1.10 0.271 -.1569404 .0440682 reg669 | .1185698 .0388301 3.05 0.002 .0424335 .194706 _cons | 4.620807 .0742327 62.25 0.000 4.475254 4.766359 ------------------------------------------------------------------------------ . ivregress lwage (educ= nearc2 nearc4) exper south smsa black expersq smsa66 reg6 > 62-reg669, first lwage not a valid estimator r(198); . ivregress 2sls lwage (educ= nearc2 nearc4) exper south smsa black expersq smsa66 > reg662-reg669, first First-stage regressions ----------------------- Number of obs = 3,010 F( 16, 2993) = 170.99 Prob > F = 0.0000 R-squared = 0.4776 Adj R-squared = 0.4748 Root MSE = 1.9400 ------------------------------------------------------------------------------ educ | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- exper | -.4122915 .0336914 -12.24 0.000 -.4783521 -.3462309 south | -.0419115 .1355316 -0.31 0.757 -.3076561 .2238331 smsa | .4013708 .1047858 3.83 0.000 .1959113 .6068303 black | -.9451729 .0939073 -10.06 0.000 -1.129302 -.7610434 expersq | .0008479 .00165 0.51 0.607 -.0023874 .0040832 smsa66 | .0000782 .1069445 0.00 0.999 -.2096139 .2097704 reg662 | -.1002481 .1875618 -0.53 0.593 -.4680113 .2675151 reg663 | -.0214286 .1833737 -0.12 0.907 -.3809798 .3381226 reg664 | .1310678 .2173736 0.60 0.547 -.295149 .5572847 reg665 | -.2683558 .2183813 -1.23 0.219 -.6965485 .1598369 reg666 | -.3334436 .2377938 -1.40 0.161 -.7996995 .1328123 reg667 | -.2087488 .2343833 -0.89 0.373 -.6683174 .2508198 reg668 | .5507871 .2679423 2.06 0.040 .0254175 1.076157 reg669 | .1687829 .2040832 0.83 0.408 -.2313747 .5689405 nearc2 | .1229986 .0774256 1.59 0.112 -.0288142 .2748114 nearc4 | .3205819 .0878425 3.65 0.000 .148344 .4928197 _cons | 16.60428 .2415174 68.75 0.000 16.13072 17.07783 ------------------------------------------------------------------------------ Instrumental variables (2SLS) regression Number of obs = 3,010 Wald chi2(15) = 709.89 Prob > chi2 = 0.0000 R-squared = 0.1702 Root MSE = .4042 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .1570594 .0524383 3.00 0.003 .0542822 .2598366 exper | .1188149 .0227454 5.22 0.000 .0742348 .163395 south | -.1431945 .0283691 -5.05 0.000 -.1987968 -.0875921 smsa | .100753 .0314355 3.21 0.001 .0391406 .1623654 black | -.1232778 .0520112 -2.37 0.018 -.225218 -.0213376 expersq | -.0023565 .0003466 -6.80 0.000 -.0030358 -.0016772 smsa66 | .0150626 .0222765 0.68 0.499 -.0285986 .0587238 reg662 | .1027473 .0391861 2.62 0.009 .0259441 .1795506 reg663 | .1499316 .0382896 3.92 0.000 .0748853 .2249779 reg664 | .0475676 .0454799 1.05 0.296 -.0415714 .1367066 reg665 | .1544801 .0484336 3.19 0.001 .0595521 .2494082 reg666 | .1729728 .0532743 3.25 0.001 .0685572 .2773884 reg667 | .1420356 .0509858 2.79 0.005 .0421052 .2419659 reg668 | -.0950611 .0608178 -1.56 0.118 -.2142617 .0241396 reg669 | .102976 .0433068 2.38 0.017 .0180962 .1878558 _cons | 3.236711 .8825567 3.67 0.000 1.506931 4.96649 ------------------------------------------------------------------------------ Instrumented: educ Instruments: exper south smsa black expersq smsa66 reg662 reg663 reg664 reg665 reg666 reg667 reg668 reg669 nearc2 nearc4 . estat overid Tests of overidentifying restrictions: Sargan (score) chi2(1) = 1.24815 (p = 0.2639) Basmann chi2(1) = 1.24162 (p = 0.2652)