-------------------------------------------------------------------------------- log: C:\Documents and Settings\Patricia_Anderson\My Documents\ECON 20\In > Class\oct11.log log type: text opened on: 11 Oct 2002, 11:11:07 . use wage1 . reg lwage educ female Source | SS df MS Number of obs = 526 -------------+------------------------------ F( 2, 523) = 112.19 Model | 44.5315182 2 22.2657591 Prob > F = 0.0000 Residual | 103.798244 523 .198467005 R-squared = 0.3002 -------------+------------------------------ Adj R-squared = 0.2975 Total | 148.329762 525 .28253288 Root MSE = .4455 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .0772033 .0070472 10.96 0.000 .0633591 .0910475 female | -.3608654 .0390245 -9.25 0.000 -.4375294 -.2842014 _cons | .8262693 .0940541 8.79 0.000 .6414991 1.01104 ------------------------------------------------------------------------------ . gen male=1-female . reg lwage educ male Source | SS df MS Number of obs = 526 -------------+------------------------------ F( 2, 523) = 112.19 Model | 44.5315182 2 22.2657591 Prob > F = 0.0000 Residual | 103.798244 523 .198467005 R-squared = 0.3002 -------------+------------------------------ Adj R-squared = 0.2975 Total | 148.329762 525 .28253288 Root MSE = .4455 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .0772033 .0070472 10.96 0.000 .0633591 .0910475 male | .3608654 .0390245 9.25 0.000 .2842014 .4375294 _cons | .4654039 .0912268 5.10 0.000 .2861879 .6446199 ------------------------------------------------------------------------------ . reg lwage educ profocc clerocc servocc Source | SS df MS Number of obs = 526 -------------+------------------------------ F( 4, 521) = 55.26 Model | 44.1854933 4 11.0463733 Prob > F = 0.0000 Residual | 104.144268 521 .19989303 R-squared = 0.2979 -------------+------------------------------ Adj R-squared = 0.2925 Total | 148.329762 525 .28253288 Root MSE = .44709 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .0565867 .0082953 6.82 0.000 .0402904 .072883 profocc | .2190014 .0544885 4.02 0.000 .1119572 .3260457 clerocc | -.1274795 .0599203 -2.13 0.034 -.2451946 -.0097644 servocc | -.3439064 .0623044 -5.52 0.000 -.4663051 -.2215077 _cons | .9017383 .0977156 9.23 0.000 .7097733 1.093703 ------------------------------------------------------------------------------ . gen nokids=numdep==0 . gen hvkids=(numdep>0) . sum *kids Variable | Obs Mean Std. Dev. Min Max -------------+----------------------------------------------------- nokids | 526 .4790875 .500038 0 1 hvkids | 526 .5209125 .500038 0 1 . tab numdep number of | dependents | Freq. Percent Cum. ------------+----------------------------------- 0 | 252 47.91 47.91 1 | 105 19.96 67.87 2 | 99 18.82 86.69 3 | 45 8.56 95.25 4 | 16 3.04 98.29 5 | 7 1.33 99.62 6 | 2 0.38 100.00 ------------+----------------------------------- Total | 526 100.00 . tab numdep, gen(kidcat) number of | dependents | Freq. Percent Cum. ------------+----------------------------------- 0 | 252 47.91 47.91 1 | 105 19.96 67.87 2 | 99 18.82 86.69 3 | 45 8.56 95.25 4 | 16 3.04 98.29 5 | 7 1.33 99.62 6 | 2 0.38 100.00 ------------+----------------------------------- Total | 526 100.00 . sum kid* Variable | Obs Mean Std. Dev. Min Max -------------+----------------------------------------------------- kidcat1 | 526 .4790875 .500038 0 1 kidcat2 | 526 .1996198 .400095 0 1 kidcat3 | 526 .1882129 .3912542 0 1 kidcat4 | 526 .0855513 .2799666 0 1 kidcat5 | 526 .0304183 .1718987 0 1 kidcat6 | 526 .013308 .1146991 0 1 kidcat7 | 526 .0038023 .0616039 0 1 . reg educ kidcat2-kidcat7 Source | SS df MS Number of obs = 526 -------------+------------------------------ F( 6, 519) = 7.83 Model | 334.071162 6 55.678527 Prob > F = 0.0000 Residual | 3691.3585 519 7.11244411 R-squared = 0.0830 -------------+------------------------------ Adj R-squared = 0.0724 Total | 4025.42966 525 7.66748506 Root MSE = 2.6669 ------------------------------------------------------------------------------ educ | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- kidcat2 | -.2198413 .3097766 -0.71 0.478 -.8284114 .3887289 kidcat3 | -.1800144 .3163335 -0.57 0.570 -.8014658 .441437 kidcat4 | -1.121429 .4315997 -2.60 0.010 -1.969326 -.2735314 kidcat5 | -1.439484 .6875694 -2.09 0.037 -2.790245 -.0887228 kidcat6 | -5.734127 1.021904 -5.61 0.000 -7.741703 -3.726551 kidcat7 | -5.376984 1.893263 -2.84 0.005 -9.096386 -1.657583 _cons | 12.87698 .168 76.65 0.000 12.54694 13.20703 ------------------------------------------------------------------------------ . reg lwage educ kidcat2-kidcat7 Source | SS df MS Number of obs = 526 -------------+------------------------------ F( 7, 518) = 18.17 Model | 29.2383292 7 4.17690417 Prob > F = 0.0000 Residual | 119.091433 518 .22990624 R-squared = 0.1971 -------------+------------------------------ Adj R-squared = 0.1863 Total | 148.329762 525 .28253288 Root MSE = .47949 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .0830806 .0078919 10.53 0.000 .0675765 .0985847 kidcat2 | -.042112 .0557218 -0.76 0.450 -.1515805 .0673565 kidcat3 | -.0503736 .0568914 -0.89 0.376 -.1621398 .0613926 kidcat4 | .1273987 .0781004 1.63 0.103 -.0260338 .2808313 kidcat5 | -.1434625 .1241391 -1.16 0.248 -.3873405 .1004156 kidcat6 | -.1208006 .1892193 -0.64 0.523 -.4925321 .2509309 kidcat7 | .2770173 .343025 0.81 0.420 -.3968739 .9509085 _cons | .5914554 .1060178 5.58 0.000 .3831777 .7997331 ------------------------------------------------------------------------------ . **group categories . kids1or2=(kidcat2==1 | kidcat3==1) unrecognized command: kids1or2 r(199); . gen kids1or2=(kidcat2==1 | kidcat3==1) . gen kids3plus=numdep>=3 . sum kids* Variable | Obs Mean Std. Dev. Min Max -------------+----------------------------------------------------- kids1or2 | 526 .3878327 .4877199 0 1 kids3plus | 526 .1330798 .3399843 0 1 . sum kid* Variable | Obs Mean Std. Dev. Min Max -------------+----------------------------------------------------- kidcat1 | 526 .4790875 .500038 0 1 kidcat2 | 526 .1996198 .400095 0 1 kidcat3 | 526 .1882129 .3912542 0 1 kidcat4 | 526 .0855513 .2799666 0 1 kidcat5 | 526 .0304183 .1718987 0 1 kidcat6 | 526 .013308 .1146991 0 1 kidcat7 | 526 .0038023 .0616039 0 1 kids1or2 | 526 .3878327 .4877199 0 1 kids3plus | 526 .1330798 .3399843 0 1 . reg lwage educ kids1or2 kids3plus Source | SS df MS Number of obs = 526 -------------+------------------------------ F( 3, 522) = 40.61 Model | 28.0657853 3 9.35526175 Prob > F = 0.0000 Residual | 120.263976 522 .23039076 R-squared = 0.1892 -------------+------------------------------ Adj R-squared = 0.1846 Total | 148.329762 525 .28253288 Root MSE = .47999 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .0842028 .0077376 10.88 0.000 .0690021 .0994035 kids1or2 | -.0458963 .045233 -1.01 0.311 -.1347573 .0429648 kids3plus | .0469366 .0662918 0.71 0.479 -.0832948 .1771681 _cons | .5770046 .1041241 5.54 0.000 .3724509 .7815583 ------------------------------------------------------------------------------ . gen femnokids=female*nokids . gen femhvkids=female*hvkids . gen malenokids=male*nokids . gen malkehvkids=male*hvkids . reg lwage educ femnokids femhvkids malenokids Source | SS df MS Number of obs = 526 -------------+------------------------------ F( 4, 521) = 59.20 Model | 46.3528916 4 11.5882229 Prob > F = 0.0000 Residual | 101.97687 521 .195732956 R-squared = 0.3125 -------------+------------------------------ Adj R-squared = 0.3072 Total | 148.329762 525 .28253288 Root MSE = .44242 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .0761932 .0070444 10.82 0.000 .0623544 .0900321 femnokids | -.3524191 .0571285 -6.17 0.000 -.4646497 -.2401885 femhvkids | -.4741498 .0537077 -8.83 0.000 -.5796601 -.3686395 malenokids | -.1151424 .0535344 -2.15 0.032 -.2203121 -.0099726 _cons | .8988591 .0969383 9.27 0.000 .7084211 1.089297 ------------------------------------------------------------------------------ . reg lwage educ female nokids femnokids Source | SS df MS Number of obs = 526 -------------+------------------------------ F( 4, 521) = 59.20 Model | 46.3528916 4 11.5882229 Prob > F = 0.0000 Residual | 101.97687 521 .195732956 R-squared = 0.3125 -------------+------------------------------ Adj R-squared = 0.3072 Total | 148.329762 525 .28253288 Root MSE = .44242 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .0761932 .0070444 10.82 0.000 .0623544 .0900321 female | -.4741498 .0537077 -8.83 0.000 -.5796601 -.3686395 nokids | -.1151424 .0535344 -2.15 0.032 -.2203121 -.0099726 femnokids | .2368731 .0776785 3.05 0.002 .0842716 .3894746 _cons | .8988591 .0969383 9.27 0.000 .7084211 1.089297 ------------------------------------------------------------------------------ . reg lwage educ exper Source | SS df MS Number of obs = 526 -------------+------------------------------ F( 2, 523) = 86.86 Model | 36.9850408 2 18.4925204 Prob > F = 0.0000 Residual | 111.344721 523 .212896216 R-squared = 0.2493 -------------+------------------------------ Adj R-squared = 0.2465 Total | 148.329762 525 .28253288 Root MSE = .46141 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .0979356 .0076224 12.85 0.000 .0829613 .1129099 exper | .0103469 .0015551 6.65 0.000 .0072919 .013402 _cons | .2168543 .108595 2.00 0.046 .0035183 .4301904 ------------------------------------------------------------------------------ . gen femexper=female*exper . reg lwage educ exper female femexper Source | SS df MS Number of obs = 526 -------------+------------------------------ F( 4, 521) = 75.71 Model | 54.524407 4 13.6311018 Prob > F = 0.0000 Residual | 93.8053547 521 .180048665 R-squared = 0.3676 -------------+------------------------------ Adj R-squared = 0.3627 Total | 148.329762 525 .28253288 Root MSE = .42432 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .0938976 .0070856 13.25 0.000 .0799778 .1078173 exper | .0142622 .0019882 7.17 0.000 .0103563 .0181682 female | -.1780102 .0600149 -2.97 0.003 -.2959111 -.0601093 femexper | -.009671 .0027477 -3.52 0.000 -.0150689 -.0042731 _cons | .362356 .1092066 3.32 0.001 .1478167 .5768953 ------------------------------------------------------------------------------ . gen femeduc=female*educ . reg lwage educ exper female femexper femeduc Source | SS df MS Number of obs = 526 -------------+------------------------------ F( 5, 520) = 61.03 Model | 54.8532162 5 10.9706432 Prob > F = 0.0000 Residual | 93.4765455 520 .179762587 R-squared = 0.3698 -------------+------------------------------ Adj R-squared = 0.3637 Total | 148.329762 525 .28253288 Root MSE = .42398 ------------------------------------------------------------------------------ lwage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- educ | .1018128 .0091857 11.08 0.000 .0837672 .1198583 exper | .0149081 .0020432 7.30 0.000 .0108941 .0189221 female | .0850418 .2035344 0.42 0.676 -.3148089 .4848925 femexper | -.0107923 .0028679 -3.76 0.000 -.0164264 -.0051581 femeduc | -.0194987 .0144173 -1.35 0.177 -.047822 .0088246 _cons | .2497944 .1372369 1.82 0.069 -.0198126 .5194013 ------------------------------------------------------------------------------ . use gpa1, clear . reg colGPA hsGPA skipped Source | SS df MS Number of obs = 141 -------------+------------------------------ F( 2, 138) = 19.77 Model | 4.32237812 2 2.16118906 Prob > F = 0.0000 Residual | 15.0837213 138 .109302328 R-squared = 0.2227 -------------+------------------------------ Adj R-squared = 0.2115 Total | 19.4060994 140 .138614996 Root MSE = .33061 ------------------------------------------------------------------------------ colGPA | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- hsGPA | .4588039 .0876908 5.23 0.000 .2854125 .6321952 skipped | -.0774349 .0257646 -3.01 0.003 -.1283792 -.0264905 _cons | 1.579167 .3033669 5.21 0.000 .9793183 2.179015 ------------------------------------------------------------------------------ . reg colGPA hsGPA skipped if greek==1 Source | SS df MS Number of obs = 45 -------------+------------------------------ F( 2, 42) = 1.43 Model | .333024658 2 .166512329 Prob > F = 0.2498 Residual | 4.87675341 42 .116113176 R-squared = 0.0639 -------------+------------------------------ Adj R-squared = 0.0193 Total | 5.20977806 44 .118404047 Root MSE = .34075 ------------------------------------------------------------------------------ colGPA | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- hsGPA | .2541847 .1563634 1.63 0.112 -.0613694 .5697388 skipped | -.0191427 .0472619 -0.41 0.688 -.114521 .0762356 _cons | 2.253212 .5437688 4.14 0.000 1.155842 3.350582 ------------------------------------------------------------------------------ . reg colGPA hsGPA skipped if greek==0 Source | SS df MS Number of obs = 96 -------------+------------------------------ F( 2, 93) = 22.95 Model | 4.65470359 2 2.3273518 Prob > F = 0.0000 Residual | 9.4302963 93 .101401036 R-squared = 0.3305 -------------+------------------------------ Adj R-squared = 0.3161 Total | 14.0849999 95 .148263157 Root MSE = .31844 ------------------------------------------------------------------------------ colGPA | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- hsGPA | .5437841 .1038769 5.23 0.000 .3375052 .750063 skipped | -.1107152 .0306108 -3.62 0.000 -.171502 -.0499283 _cons | 1.29899 .3587507 3.62 0.000 .5865819 2.011397 ------------------------------------------------------------------------------ . log close log: C:\Documents and Settings\Patricia_Anderson\My Documents\ECON 20\I > nClass\oct11.log log type: text closed on: 11 Oct 2002, 12:25:51 -------------------------------------------------------------------------------