--------------------------------------------------------------------------------- name: log: C:\Users\LabProf01\Desktop\IV.log log type: text opened on: 8 Nov 2022, 15:01:12 . reg educ nearc4 exper expersq black smsa south 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] -------------+---------------------------------------------------------------- nearc4 | .3198989 .0878638 3.64 0.000 .1476194 .4921785 exper | -.4125334 .0336996 -12.24 0.000 -.4786101 -.3464566 expersq | .0008686 .0016504 0.53 0.599 -.0023674 .0041046 black | -.9355287 .0937348 -9.98 0.000 -1.11932 -.7517377 smsa | .4021825 .1048112 3.84 0.000 .1966732 .6076918 south | -.0516126 .1354284 -0.38 0.703 -.3171548 .2139296 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 residuo, res . reg lwage educ exper expersq black smsa south smsa66 reg662-reg669 residuo 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 expersq | -.0023349 .0003197 -7.30 0.000 -.0029618 -.0017081 black | -.1467758 .0516708 -2.84 0.005 -.2480896 -.045462 smsa | .1118083 .0303526 3.68 0.000 .0522943 .1713223 south | -.1446715 .0261562 -5.53 0.000 -.1959575 -.0933855 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 residuo | -.0570621 .0528071 -1.08 0.280 -.1606039 .0464798 _cons | 3.666152 .8865821 4.14 0.000 1.92778 5.404524 ------------------------------------------------------------------------------ . reg lwage educ exper expersq black smsa south 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 expersq | -.002287 .0003166 -7.22 0.000 -.0029079 -.0016662 black | -.1990123 .0182483 -10.91 0.000 -.2347927 -.1632318 smsa | .1363845 .0201005 6.79 0.000 .0969724 .1757967 south | -.147955 .0259799 -5.69 0.000 -.1988952 -.0970148 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 ------------------------------------------------------------------------------ . ivreg lwage (educ=nearc4) exper expersq black smsa south smsa66 reg662-reg669 Instrumental variables (2SLS) regression Source | SS df MS Number of obs = 3,010 -------------+---------------------------------- F(15, 2994) = 51.01 Model | 141.146813 15 9.40978752 Prob > F = 0.0000 Residual | 451.494832 2,994 .150799877 R-squared = 0.2382 -------------+---------------------------------- Adj R-squared = 0.2343 Total | 592.641645 3,009 .196956346 Root MSE = .38833 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .1315038 .0549637 2.39 0.017 .0237335 .2392742 exper | .1082711 .0236586 4.58 0.000 .0618824 .1546598 expersq | -.0023349 .0003335 -7.00 0.000 -.0029888 -.001681 black | -.1467757 .0538999 -2.72 0.007 -.2524603 -.0410912 smsa | .1118083 .031662 3.53 0.000 .0497269 .1738898 south | -.1446715 .0272846 -5.30 0.000 -.19817 -.091173 smsa66 | .0185311 .0216086 0.86 0.391 -.0238381 .0609003 reg662 | .1007678 .0376857 2.67 0.008 .0268753 .1746603 reg663 | .1482588 .0368141 4.03 0.000 .0760752 .2204423 reg664 | .0498971 .0437398 1.14 0.254 -.0358661 .1356602 reg665 | .1462719 .0470639 3.11 0.002 .053991 .2385529 reg666 | .1629029 .0519096 3.14 0.002 .0611209 .264685 reg667 | .1345722 .0494023 2.72 0.006 .0377063 .2314381 reg668 | -.083077 .0593314 -1.40 0.162 -.1994113 .0332574 reg669 | .1078142 .0418137 2.58 0.010 .0258278 .1898007 _cons | 3.666151 .9248295 3.96 0.000 1.852785 5.479517 ------------------------------------------------------------------------------ Instrumented: educ Instruments: exper expersq black smsa south smsa66 reg662 reg663 reg664 reg665 reg666 reg667 reg668 reg669 nearc4 ------------------------------------------------------------------------------ . ivreg lwage (educ=nearc4 near2) exper expersq black smsa south smsa66 reg662-re > g669 variable near2 not found r(111); . ivreg lwage (educ=nearc4 nearc2) exper expersq black smsa south smsa66 reg662-r > eg669 Instrumental variables (2SLS) regression Source | SS df MS Number of obs = 3,010 -------------+---------------------------------- F(15, 2994) = 47.07 Model | 100.869 15 6.72459998 Prob > F = 0.0000 Residual | 491.772645 2,994 .16425272 R-squared = 0.1702 -------------+---------------------------------- Adj R-squared = 0.1660 Total | 592.641645 3,009 .196956346 Root MSE = .40528 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .1570594 .0525782 2.99 0.003 .0539662 .2601525 exper | .1188149 .0228061 5.21 0.000 .0740977 .163532 expersq | -.0023565 .0003475 -6.78 0.000 -.0030379 -.0016751 black | -.1232778 .05215 -2.36 0.018 -.2255313 -.0210243 smsa | .100753 .0315193 3.20 0.001 .0389512 .1625548 south | -.1431945 .0284448 -5.03 0.000 -.1989678 -.0874212 smsa66 | .0150626 .022336 0.67 0.500 -.0287328 .058858 reg662 | .1027473 .0392906 2.62 0.009 .025708 .1797867 reg663 | .1499316 .0383918 3.91 0.000 .0746546 .2252086 reg664 | .0475676 .0456013 1.04 0.297 -.0418454 .1369806 reg665 | .1544801 .0485628 3.18 0.001 .0592603 .2497 reg666 | .1729728 .0534164 3.24 0.001 .0682362 .2777094 reg667 | .1420356 .0511219 2.78 0.005 .041798 .2422731 reg668 | -.0950611 .0609801 -1.56 0.119 -.2146281 .024506 reg669 | .102976 .0434224 2.37 0.018 .0178353 .1881167 _cons | 3.236711 .8849118 3.66 0.000 1.501614 4.971807 ------------------------------------------------------------------------------ Instrumented: educ Instruments: exper expersq black smsa south smsa66 reg662 reg663 reg664 reg665 reg666 reg667 reg668 reg669 nearc4 nearc2 ------------------------------------------------------------------------------ . ivreg lwage (educ=nearc4 nearc2) exper expersq black smsa south smsa66 reg662-r > eg669, first First-stage regressions ----------------------- Source | SS df MS Number of obs = 3,010 -------------+---------------------------------- F(16, 2993) = 170.99 Model | 10297.1164 16 643.569774 Prob > F = 0.0000 Residual | 11264.9637 2,993 3.76377002 R-squared = 0.4776 -------------+---------------------------------- Adj R-squared = 0.4748 Total | 21562.0801 3,009 7.16586243 Root MSE = 1.94 ------------------------------------------------------------------------------ educ | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- exper | -.4122915 .0336914 -12.24 0.000 -.4783521 -.3462309 expersq | .0008479 .00165 0.51 0.607 -.0023874 .0040832 black | -.9451729 .0939073 -10.06 0.000 -1.129302 -.7610434 smsa | .4013708 .1047858 3.83 0.000 .1959113 .6068303 south | -.0419115 .1355316 -0.31 0.757 -.3076561 .2238331 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 nearc4 | .3205819 .0878425 3.65 0.000 .148344 .4928197 nearc2 | .1229986 .0774256 1.59 0.112 -.0288142 .2748114 _cons | 16.60428 .2415174 68.75 0.000 16.13072 17.07783 ------------------------------------------------------------------------------ Instrumental variables (2SLS) regression Source | SS df MS Number of obs = 3,010 -------------+---------------------------------- F(15, 2994) = 47.07 Model | 100.869 15 6.72459998 Prob > F = 0.0000 Residual | 491.772645 2,994 .16425272 R-squared = 0.1702 -------------+---------------------------------- Adj R-squared = 0.1660 Total | 592.641645 3,009 .196956346 Root MSE = .40528 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .1570594 .0525782 2.99 0.003 .0539662 .2601525 exper | .1188149 .0228061 5.21 0.000 .0740977 .163532 expersq | -.0023565 .0003475 -6.78 0.000 -.0030379 -.0016751 black | -.1232778 .05215 -2.36 0.018 -.2255313 -.0210243 smsa | .100753 .0315193 3.20 0.001 .0389512 .1625548 south | -.1431945 .0284448 -5.03 0.000 -.1989678 -.0874212 smsa66 | .0150626 .022336 0.67 0.500 -.0287328 .058858 reg662 | .1027473 .0392906 2.62 0.009 .025708 .1797867 reg663 | .1499316 .0383918 3.91 0.000 .0746546 .2252086 reg664 | .0475676 .0456013 1.04 0.297 -.0418454 .1369806 reg665 | .1544801 .0485628 3.18 0.001 .0592603 .2497 reg666 | .1729728 .0534164 3.24 0.001 .0682362 .2777094 reg667 | .1420356 .0511219 2.78 0.005 .041798 .2422731 reg668 | -.0950611 .0609801 -1.56 0.119 -.2146281 .024506 reg669 | .102976 .0434224 2.37 0.018 .0178353 .1881167 _cons | 3.236711 .8849118 3.66 0.000 1.501614 4.971807 ------------------------------------------------------------------------------ Instrumented: educ Instruments: exper expersq black smsa south smsa66 reg662 reg663 reg664 reg665 reg666 reg667 reg668 reg669 nearc4 nearc2 ------------------------------------------------------------------------------ . ivregression 2sls lwage (educ=nearc4 nearc2) exper expersq black smsa south sms > a66 reg662-reg669, firs command ivregression is unrecognized r(199); . ivregression 2sls lwage (educ=nearc4 nearc2) exper expersq black smsa south sms > a66 reg662-reg669 command ivregression is unrecognized r(199); . ivregress 2sls lwage (educ=nearc4 nearc2) exper expersq black smsa south smsa66 > reg662-reg669 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 expersq | -.0023565 .0003466 -6.80 0.000 -.0030358 -.0016772 black | -.1232778 .0520112 -2.37 0.018 -.225218 -.0213376 smsa | .100753 .0314355 3.21 0.001 .0391406 .1623654 south | -.1431945 .0283691 -5.05 0.000 -.1987968 -.0875921 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 expersq black smsa south smsa66 reg662 reg663 reg664 reg665 reg666 reg667 reg668 reg669 nearc4 nearc2 . estat overid Tests of overidentifying restrictions: Sargan (score) chi2(1) = 1.24815 (p = 0.2639) Basmann chi2(1) = 1.24162 (p = 0.2652) . ivregress 2sls lwage (educ=nearc4 ) exper expersq black smsa south smsa66 reg66 > 2-reg669 Instrumental variables (2SLS) regression Number of obs = 3,010 Wald chi2(15) = 769.20 Prob > chi2 = 0.0000 R-squared = 0.2382 Root MSE = .3873 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .1315038 .0548174 2.40 0.016 .0240637 .238944 exper | .1082711 .0235956 4.59 0.000 .0620246 .1545176 expersq | -.0023349 .0003326 -7.02 0.000 -.0029868 -.001683 black | -.1467757 .0537564 -2.73 0.006 -.2521364 -.0414151 smsa | .1118083 .0315777 3.54 0.000 .0499171 .1736995 south | -.1446715 .027212 -5.32 0.000 -.1980061 -.0913369 smsa66 | .0185311 .0215511 0.86 0.390 -.0237082 .0607704 reg662 | .1007678 .0375854 2.68 0.007 .0271017 .1744339 reg663 | .1482588 .0367162 4.04 0.000 .0762964 .2202211 reg664 | .0498971 .0436234 1.14 0.253 -.0356032 .1353974 reg665 | .1462719 .0469387 3.12 0.002 .0542738 .2382701 reg666 | .1629029 .0517714 3.15 0.002 .0614328 .2643731 reg667 | .1345722 .0492708 2.73 0.006 .0380032 .2311413 reg668 | -.083077 .0591735 -1.40 0.160 -.1990548 .0329008 reg669 | .1078142 .0417024 2.59 0.010 .026079 .1895494 _cons | 3.666151 .9223682 3.97 0.000 1.858342 5.473959 ------------------------------------------------------------------------------ Instrumented: educ Instruments: exper expersq black smsa south smsa66 reg662 reg663 reg664 reg665 reg666 reg667 reg668 reg669 nearc4 . ivregress 2sls lwage (educ=nearc2 ) exper expersq black smsa south smsa66 reg66 > 2-reg669 Instrumental variables (2SLS) regression Number of obs = 3,010 Wald chi2(15) = 363.26 Prob > chi2 = 0.0000 R-squared = . Root MSE = .56342 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .2931745 .1848891 1.59 0.113 -.0692014 .6555504 exper | .1749737 .076907 2.28 0.023 .0242387 .3257086 expersq | -.0024712 .0005039 -4.90 0.000 -.0034588 -.0014836 black | .0018782 .1721628 0.01 0.991 -.3355546 .339311 smsa | .0418697 .085542 0.49 0.625 -.1257896 .209529 south | -.1353274 .0407439 -3.32 0.001 -.2151839 -.0554708 smsa66 | -.0034116 .0386715 -0.09 0.930 -.0792063 .0723831 reg662 | .113291 .0561836 2.02 0.044 .0031732 .2234088 reg663 | .1588416 .0545177 2.91 0.004 .0519889 .2656943 reg664 | .0351603 .0652575 0.54 0.590 -.0927421 .1630626 reg665 | .1981992 .0867943 2.28 0.022 .0280855 .3683129 reg666 | .2266074 .0999626 2.27 0.023 .0306842 .4225305 reg667 | .1817872 .0866646 2.10 0.036 .0119278 .3516466 reg668 | -.1588913 .1163147 -1.37 0.172 -.3868639 .0690812 reg669 | .0772063 .0683943 1.13 0.259 -.056844 .2112566 _cons | .9494057 3.107669 0.31 0.760 -5.141513 7.040324 ------------------------------------------------------------------------------ Instrumented: educ Instruments: exper expersq black smsa south smsa66 reg662 reg663 reg664 reg665 reg666 reg667 reg668 reg669 nearc2 . ivregress 2sls lwage (educ=nearc4 nearc2) exper expersq black smsa south smsa66 > reg662-reg669 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 expersq | -.0023565 .0003466 -6.80 0.000 -.0030358 -.0016772 black | -.1232778 .0520112 -2.37 0.018 -.225218 -.0213376 smsa | .100753 .0314355 3.21 0.001 .0391406 .1623654 south | -.1431945 .0283691 -5.05 0.000 -.1987968 -.0875921 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 expersq black smsa south smsa66 reg662 reg663 reg664 reg665 reg666 reg667 reg668 reg669 nearc4 nearc2 . estat overid Tests of overidentifying restrictions: Sargan (score) chi2(1) = 1.24815 (p = 0.2639) Basmann chi2(1) = 1.24162 (p = 0.2652) . ivregress 2sls lwage (educ=nearc4 nearc2) exper expersq black smsa south 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 expersq | .0008479 .00165 0.51 0.607 -.0023874 .0040832 black | -.9451729 .0939073 -10.06 0.000 -1.129302 -.7610434 smsa | .4013708 .1047858 3.83 0.000 .1959113 .6068303 south | -.0419115 .1355316 -0.31 0.757 -.3076561 .2238331 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 nearc4 | .3205819 .0878425 3.65 0.000 .148344 .4928197 nearc2 | .1229986 .0774256 1.59 0.112 -.0288142 .2748114 _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 expersq | -.0023565 .0003466 -6.80 0.000 -.0030358 -.0016772 black | -.1232778 .0520112 -2.37 0.018 -.225218 -.0213376 smsa | .100753 .0314355 3.21 0.001 .0391406 .1623654 south | -.1431945 .0283691 -5.05 0.000 -.1987968 -.0875921 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 expersq black smsa south smsa66 reg662 reg663 reg664 reg665 reg666 reg667 reg668 reg669 nearc4 nearc2 . correl nearc4 nearc2 (obs=3,010) | nearc4 nearc2 -------------+------------------ nearc4 | 1.0000 nearc2 | 0.1191 1.0000