------------------------------------------------------------------------------------------------- log: C:\Documents and Settings\yhuang7\Desktop\2008 Spring Angrist\QOB_V.log log type: text opened on: 31 May 2008, 00:25:50 . . set mem 500m Current memory allocation current memory usage settable value description (1M = 1024k) -------------------------------------------------------------------- set maxvar 5000 max. variables allowed 1.909M set memory 500M max. data space 500.000M set matsize 400 max. RHS vars in models 1.254M ----------- 503.163M . use "C:\Documents and Settings\yhuang7\Desktop\2008 Spring Angrist\QOB_stata_data.dta" . rename v1 AGE . rename v2 AGEQ . rename v4 EDUC . rename v5 ENOCENT . rename v6 ESOCENT . rename v9 LWKLYWGE . rename v10 MARRIED . rename v11 MIDATL . rename v12 MT . rename v13 NEWENG . rename v16 CENSUS . rename v18 QOB . rename v19 RACE . rename v20 SMSA . rename v21 SOATL . rename v24 WNOCENT . rename v25 WSOCENT . rename v27 YOB . drop v8 . gen COHORT=20.29 . replace COHORT=30.39 if YOB<=39 & YOB >=30 (329509 real changes made) . replace COHORT=40.49 if YOB<=49 & YOB >=40 (486926 real changes made) . replace AGEQ=AGEQ-1900 if CENSUS==80 (816435 real changes made) . gen AGEQSQ= AGEQ*AGEQ . . ** Generate YOB dummies ********** . gen YR20=0 . replace YR20=1 if YOB==1920 (23725 real changes made) . replace YR20=1 if YOB==30 (33602 real changes made) . replace YR20=1 if YOB==40 (38218 real changes made) . gen YR21=0 . replace YR21=1 if YOB==1921 (24978 real changes made) . replace YR21=1 if YOB==31 (30583 real changes made) . replace YR21=1 if YOB==41 (38387 real changes made) . gen YR22=0 . replace YR22=1 if YOB==1922 (24264 real changes made) . replace YR22=1 if YOB==32 (32211 real changes made) . replace YR22=1 if YOB==42 (45018 real changes made) . gen YR23=0 . replace YR23=1 if YOB==1923 (24345 real changes made) . replace YR23=1 if YOB==33 (30751 real changes made) . replace YR23=1 if YOB==43 (46349 real changes made) . gen YR24=0 . replace YR24=1 if YOB==1924 (25548 real changes made) . replace YR24=1 if YOB==34 (31916 real changes made) . replace YR24=1 if YOB==44 (44387 real changes made) . gen YR25=0 . replace YR25=1 if YOB==1925 (24834 real changes made) . replace YR25=1 if YOB==35 (32773 real changes made) . replace YR25=1 if YOB==45 (44546 real changes made) . gen YR26=0 . replace YR26=1 if YOB==1926 (24431 real changes made) . replace YR26=1 if YOB==36 (32676 real changes made) . replace YR26=1 if YOB==46 (54122 real changes made) . gen YR27=0 . replace YR27=1 if YOB==1927 (25650 real changes made) . replace YR27=1 if YOB==37 (33969 real changes made) . replace YR27=1 if YOB==47 (60788 real changes made) . gen YR28=0 . replace YR28=1 if YOB==1928 (24614 real changes made) . replace YR28=1 if YOB==38 (35223 real changes made) . replace YR28=1 if YOB==48 (57692 real changes made) . gen YR29=0 . replace YR29=1 if YOB==1929 (24810 real changes made) . replace YR29=1 if YOB==39 (35805 real changes made) . replace YR29=1 if YOB==49 (57419 real changes made) . . ** Generate QOB dummies *********** . gen QTR1=0 . replace QTR1=1 if QOB==1 (262019 real changes made) . gen QTR2=0 . replace QTR2=1 if QOB==2 (255733 real changes made) . gen QTR3=0 . replace QTR3=1 if QOB==3 (280749 real changes made) . gen QTR4=0 . replace QTR4=1 if QOB==4 (265133 real changes made) . . ** Generate YOB*QOB dummies ******** . gen QTR120= QTR1*YR20 . gen QTR121= QTR1*YR21 . gen QTR122= QTR1*YR22 . gen QTR123= QTR1*YR23 . gen QTR124= QTR1*YR24 . gen QTR125= QTR1*YR25 . gen QTR126= QTR1*YR26 . gen QTR127= QTR1*YR27 . gen QTR128= QTR1*YR28 . gen QTR129= QTR1*YR29 . . gen QTR220= QTR2*YR20 . gen QTR221= QTR2*YR21 . gen QTR222= QTR2*YR22 . gen QTR223= QTR2*YR23 . gen QTR224= QTR2*YR24 . gen QTR225= QTR2*YR25 . gen QTR226= QTR2*YR26 . gen QTR227= QTR2*YR27 . gen QTR228= QTR2*YR28 . gen QTR229= QTR2*YR29 . . gen QTR320= QTR3*YR20 . gen QTR321= QTR3*YR21 . gen QTR322= QTR3*YR22 . gen QTR323= QTR3*YR23 . gen QTR324= QTR3*YR24 . gen QTR325= QTR3*YR25 . gen QTR326= QTR3*YR26 . gen QTR327= QTR3*YR27 . gen QTR328= QTR3*YR28 . gen QTR329= QTR3*YR29 . . keep if COHORT>30.00 & COHORT <30.40 (734125 observations deleted) . . . ** Col 1 3 5 7 *** . reg LWKLYWGE EDUC YR20-YR28 Source | SS df MS Number of obs = 329509 -------------+------------------------------ F( 10,329498) = 4397.45 Model | 17878.1586 10 1787.81586 Prob > F = 0.0000 Residual | 133959.712329498 .406556981 R-squared = 0.1177 -------------+------------------------------ Adj R-squared = 0.1177 Total | 151837.871329508 .460801773 Root MSE = .63762 ------------------------------------------------------------------------------ LWKLYWGE | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- EDUC | .071081 .000339 209.67 0.000 .0704166 .0717455 YR20 | .0481636 .0048468 9.94 0.000 .038664 .0576633 YR21 | .0417762 .0049669 8.41 0.000 .0320412 .0515112 YR22 | .0333253 .0048984 6.80 0.000 .0237245 .042926 YR23 | .0305805 .0049587 6.17 0.000 .0208615 .0402994 YR24 | .0271644 .0049096 5.53 0.000 .0175417 .036787 YR25 | .0152689 .0048751 3.13 0.002 .0057138 .0248241 YR26 | .0163829 .0048786 3.36 0.001 .0068209 .0259448 YR27 | .0114515 .0048296 2.37 0.018 .0019856 .0209174 YR28 | .0112732 .0047851 2.36 0.018 .0018945 .0206519 _cons | 4.969185 .0055557 894.42 0.000 4.958296 4.980074 ------------------------------------------------------------------------------ . reg LWKLYWGE EDUC YR20-YR28 AGEQ AGEQSQ Source | SS df MS Number of obs = 329509 -------------+------------------------------ F( 12,329496) = 3664.88 Model | 17879.6923 12 1489.97436 Prob > F = 0.0000 Residual | 133958.178329496 .406554794 R-squared = 0.1178 -------------+------------------------------ Adj R-squared = 0.1177 Total | 151837.871329508 .460801773 Root MSE = .63762 ------------------------------------------------------------------------------ LWKLYWGE | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- EDUC | .0710737 .0003391 209.62 0.000 .0704091 .0717382 YR20 | .1033404 .0363406 2.84 0.004 .0321139 .1745668 YR21 | .0971334 .0326949 2.97 0.003 .0330523 .1612146 YR22 | .0872853 .0297449 2.93 0.003 .0289863 .1455844 YR23 | .0815684 .0271335 3.01 0.003 .0283876 .1347492 YR24 | .0735621 .0244142 3.01 0.003 .025711 .1214131 YR25 | .0555608 .0213492 2.60 0.009 .0137171 .0974046 YR26 | .0489979 .0176847 2.77 0.006 .0143365 .0836594 YR27 | .0347328 .013239 2.62 0.009 .0087848 .0606809 YR28 | .0237347 .0082492 2.88 0.004 .0075664 .0399029 AGEQ | -.0771898 .0620977 -1.24 0.214 -.1988994 .0445199 AGEQSQ | .0007874 .0006881 1.14 0.252 -.0005612 .002136 _cons | 6.805408 1.391314 4.89 0.000 4.078472 9.532343 ------------------------------------------------------------------------------ . reg LWKLYWGE EDUC RACE MARRIED SMSA NEWENG MIDATL ENOCENT WNOCENT SOATL ESOCENT WSOCENT MT YR > 20-YR28 Source | SS df MS Number of obs = 329509 -------------+------------------------------ F( 21,329487) = 3101.11 Model | 25058.098 21 1193.24276 Prob > F = 0.0000 Residual | 126779.773329487 .384779286 R-squared = 0.1650 -------------+------------------------------ Adj R-squared = 0.1650 Total | 151837.871329508 .460801773 Root MSE = .62031 ------------------------------------------------------------------------------ LWKLYWGE | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- EDUC | .0632457 .0003393 186.42 0.000 .0625808 .0639107 RACE | -.2574833 .0040414 -63.71 0.000 -.2654043 -.2495623 MARRIED | .2478674 .0031666 78.28 0.000 .241661 .2540739 SMSA | -.1763007 .0028655 -61.53 0.000 -.1819169 -.1706844 NEWENG | -.1133839 .0055121 -20.57 0.000 -.1241874 -.1025804 MIDATL | -.0527654 .0041003 -12.87 0.000 -.0608018 -.0447289 ENOCENT | .0159711 .0039398 4.05 0.000 .0082492 .023693 WNOCENT | -.1077725 .0050041 -21.54 0.000 -.1175803 -.0979647 SOATL | -.1393092 .0041035 -33.95 0.000 -.1473519 -.1312664 ESOCENT | -.1644494 .0053262 -30.88 0.000 -.1748885 -.1540102 WSOCENT | -.1031785 .0046701 -22.09 0.000 -.1123317 -.0940252 MT | -.0920934 .0057895 -15.91 0.000 -.1034406 -.0807462 YR20 | .0306364 .0047176 6.49 0.000 .0213901 .0398827 YR21 | .0265911 .0048339 5.50 0.000 .0171169 .0360653 YR22 | .0221746 .0047665 4.65 0.000 .0128324 .0315168 YR23 | .0222913 .0048246 4.62 0.000 .0128352 .0317475 YR24 | .0194833 .0047767 4.08 0.000 .0101211 .0288455 YR25 | .0098179 .0047431 2.07 0.038 .0005216 .0191141 YR26 | .0102502 .0047464 2.16 0.031 .0009473 .019553 YR27 | .0076009 .0046986 1.62 0.106 -.0016083 .0168101 YR28 | .0084683 .0046553 1.82 0.069 -.0006559 .0175926 _cons | 4.985792 .0069468 717.71 0.000 4.972176 4.999408 ------------------------------------------------------------------------------ . reg LWKLYWGE EDUC RACE MARRIED SMSA NEWENG MIDATL ENOCENT WNOCENT SOATL ESOCENT WSOCENT MT YR > 20-YR28 AGEQ AGEQSQ Source | SS df MS Number of obs = 329509 -------------+------------------------------ F( 23,329485) = 2831.65 Model | 25059.716 23 1089.55287 Prob > F = 0.0000 Residual | 126778.155329485 .384776711 R-squared = 0.1650 -------------+------------------------------ Adj R-squared = 0.1650 Total | 151837.871329508 .460801773 Root MSE = .6203 ------------------------------------------------------------------------------ LWKLYWGE | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- EDUC | .0632378 .0003393 186.37 0.000 .0625728 .0639028 RACE | -.2574534 .0040414 -63.70 0.000 -.2653745 -.2495323 MARRIED | .2478785 .0031666 78.28 0.000 .2416721 .2540849 SMSA | -.1762903 .0028655 -61.52 0.000 -.1819066 -.1706741 NEWENG | -.1133571 .0055121 -20.57 0.000 -.1241606 -.1025536 MIDATL | -.0527515 .0041003 -12.87 0.000 -.060788 -.0447151 ENOCENT | .0159563 .0039398 4.05 0.000 .0082343 .0236782 WNOCENT | -.1077988 .0050041 -21.54 0.000 -.1176066 -.0979909 SOATL | -.1393424 .0041035 -33.96 0.000 -.1473852 -.1312996 ESOCENT | -.1644554 .0053262 -30.88 0.000 -.1748945 -.1540163 WSOCENT | -.1032796 .0046703 -22.11 0.000 -.1124333 -.0941258 MT | -.0921064 .0057895 -15.91 0.000 -.1034536 -.0807593 YR20 | .0888003 .0353575 2.51 0.012 .0195006 .1581001 YR21 | .0844662 .0318107 2.66 0.008 .0221182 .1468142 YR22 | .0782175 .0289405 2.70 0.007 .021495 .13494 YR23 | .0749617 .0263998 2.84 0.005 .0232189 .1267046 YR24 | .0671941 .0237537 2.83 0.005 .0206374 .1137507 YR25 | .0510923 .0207714 2.46 0.014 .010381 .0918035 YR26 | .0435516 .017206 2.53 0.011 .0098284 .0772748 YR27 | .0313043 .0128806 2.43 0.015 .0060588 .0565499 YR28 | .0211243 .0080257 2.63 0.008 .0053942 .0368545 AGEQ | -.0759683 .060413 -1.26 0.209 -.194376 .0424394 AGEQSQ | .0007702 .0006694 1.15 0.250 -.0005418 .0020822 _cons | 6.80081 1.353582 5.02 0.000 4.147828 9.453792 ------------------------------------------------------------------------------ . . . ** Col 2 4 6 8 *** . ivregress 2sls LWKLYWGE YR20-YR28 (EDUC = QTR120-QTR129 QTR220-QTR229 QTR320-QTR329 YR20-YR28) Instrumental variables (2SLS) regression Number of obs = 329509 Wald chi2(10) = 41.67 Prob > chi2 = 0.0000 R-squared = 0.1102 Root MSE = .64034 ------------------------------------------------------------------------------ LWKLYWGE | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- EDUC | .0891155 .0161098 5.53 0.000 .0575408 .1206901 YR20 | .0585271 .0104573 5.60 0.000 .0380311 .0790231 YR21 | .0496458 .0086184 5.76 0.000 .032754 .0665376 YR22 | .0404967 .0080759 5.01 0.000 .0246682 .0563253 YR23 | .0367315 .0074147 4.95 0.000 .0221991 .051264 YR24 | .0327393 .0070071 4.67 0.000 .0190056 .046473 YR25 | .0196996 .0062951 3.13 0.002 .0073615 .0320377 YR26 | .0197654 .0057559 3.43 0.001 .0084841 .0310468 YR27 | .0137096 .0052528 2.61 0.009 .0034144 .0240048 YR28 | .0119816 .004847 2.47 0.013 .0024816 .0214816 _cons | 4.7342 .209935 22.55 0.000 4.322735 5.145665 ------------------------------------------------------------------------------ Instrumented: EDUC Instruments: YR20 YR21 YR22 YR23 YR24 YR25 YR26 YR27 YR28 QTR120 QTR121 QTR122 QTR123 QTR124 QTR125 QTR126 QTR127 QTR128 QTR129 QTR220 QTR221 QTR222 QTR223 QTR224 QTR225 QTR226 QTR227 QTR228 QTR229 QTR320 QTR321 QTR322 QTR323 QTR324 QTR325 QTR326 QTR327 QTR328 QTR329 . ivregress 2sls LWKLYWGE YR20-YR28 AGEQ AGEQSQ (EDUC = QTR120-QTR129 QTR220-QTR229 QTR320-QTR329 YR20-YR28) note: QTR329 dropped due to collinearity Instrumental variables (2SLS) regression Number of obs = 329509 Wald chi2(12) = 44.54 Prob > chi2 = 0.0000 R-squared = 0.1172 Root MSE = .63781 ------------------------------------------------------------------------------ LWKLYWGE | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- EDUC | .0759996 .028965 2.62 0.009 .0192291 .13277 YR20 | .0971819 .0513087 1.89 0.058 -.0033813 .1977452 YR21 | .0916398 .0459669 1.99 0.046 .0015463 .1817333 YR22 | .0828609 .0395229 2.10 0.036 .0053975 .1603243 YR23 | .0780379 .0341698 2.28 0.022 .0110664 .1450094 YR24 | .0709682 .0287925 2.46 0.014 .0145359 .1274006 YR25 | .0536482 .0241356 2.22 0.026 .0063433 .1009531 YR26 | .0477071 .0192494 2.48 0.013 .009979 .0854352 YR27 | .0339638 .0139936 2.43 0.015 .0065369 .0613908 YR28 | .0232767 .00868 2.68 0.007 .0062643 .0402891 AGEQ | -.0801174 .0644575 -1.24 0.214 -.2064517 .0462169 AGEQSQ | .0008309 .0007343 1.13 0.258 -.0006082 .0022701 _cons | 6.788371 1.395332 4.87 0.000 4.05357 9.523172 ------------------------------------------------------------------------------ Instrumented: EDUC Instruments: YR20 YR21 YR22 YR23 YR24 YR25 YR26 YR27 YR28 AGEQ AGEQSQ QTR120 QTR121 QTR122 QTR123 QTR124 QTR125 QTR126 QTR127 QTR128 QTR129 QTR220 QTR221 QTR222 QTR223 QTR224 QTR225 QTR226 QTR227 QTR228 QTR229 QTR320 QTR321 QTR322 QTR323 QTR324 QTR325 QTR326 QTR327 QTR328 . ivregress 2sls LWKLYWGE YR20-YR28 RACE MARRIED SMSA NEWENG MIDATL ENOCENT WNOCENT SOATL ESOCENT WSOCENT MT (EDUC = QTR120-QTR129 QTR220 > -QTR229 QTR320-QTR329 YR20-YR28) Instrumental variables (2SLS) regression Number of obs = 329509 Wald chi2(21) =30158.55 Prob > chi2 = 0.0000 R-squared = 0.1584 Root MSE = .62273 ------------------------------------------------------------------------------ LWKLYWGE | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- EDUC | .0805518 .0163846 4.92 0.000 .0484385 .112665 YR20 | .0412408 .0110988 3.72 0.000 .0194875 .0629941 YR21 | .034757 .0091265 3.81 0.000 .0168693 .0526446 YR22 | .029418 .0083609 3.52 0.000 .0130309 .0458051 YR23 | .0284025 .0075445 3.76 0.000 .0136155 .0431894 YR24 | .0250353 .0071143 3.52 0.000 .0110915 .0389791 YR25 | .0140564 .0062265 2.26 0.024 .0018527 .0262602 YR26 | .0137087 .0057811 2.37 0.018 .0023778 .0250395 YR27 | .0098912 .0051913 1.91 0.057 -.0002836 .020066 YR28 | .0092837 .0047368 1.96 0.050 -1.71e-07 .0185676 RACE | -.2302179 .0261251 -8.81 0.000 -.2814221 -.1790136 MARRIED | .2439689 .0048706 50.09 0.000 .2344227 .2535152 SMSA | -.1581466 .0174229 -9.08 0.000 -.1922948 -.1239985 NEWENG | -.1033678 .0109775 -9.42 0.000 -.1248833 -.0818523 MIDATL | -.0409571 .011911 -3.44 0.001 -.0643023 -.017612 ENOCENT | .0343439 .0178348 1.93 0.054 -.0006118 .0692995 WNOCENT | -.0950523 .0130463 -7.29 0.000 -.1206226 -.0694819 SOATL | -.1203118 .0184479 -6.52 0.000 -.1564689 -.0841546 ESOCENT | -.1355007 .0279182 -4.85 0.000 -.1902194 -.0807821 WSOCENT | -.0867657 .0162276 -5.35 0.000 -.1185711 -.0549602 MT | -.0879569 .0070079 -12.55 0.000 -.1016921 -.0742216 _cons | 4.743756 .2292055 20.70 0.000 4.294522 5.192991 ------------------------------------------------------------------------------ Instrumented: EDUC Instruments: YR20 YR21 YR22 YR23 YR24 YR25 YR26 YR27 YR28 RACE MARRIED SMSA NEWENG MIDATL ENOCENT WNOCENT SOATL ESOCENT WSOCENT MT QTR120 QTR121 QTR122 QTR123 QTR124 QTR125 QTR126 QTR127 QTR128 QTR129 QTR220 QTR221 QTR222 QTR223 QTR224 QTR225 QTR226 QTR227 QTR228 QTR229 QTR320 QTR321 QTR322 QTR323 QTR324 QTR325 QTR326 QTR327 QTR328 QTR329 . ivregress 2sls LWKLYWGE YR20-YR28 RACE MARRIED SMSA NEWENG MIDATL ENOCENT WNOCENT SOATL ESOCENT WSOCENT MT AGEQ AGEQSQ (EDUC = QTR120-QT > R129 QTR220-QTR229 QTR320-QTR329 YR20-YR28) note: QTR329 dropped due to collinearity Instrumental variables (2SLS) regression Number of obs = 329509 Wald chi2(23) =30391.57 Prob > chi2 = 0.0000 R-squared = 0.1648 Root MSE = .62037 ------------------------------------------------------------------------------ LWKLYWGE | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- EDUC | .0599536 .0289846 2.07 0.039 .0031447 .1167624 YR20 | .0924773 .0479925 1.93 0.054 -.0015863 .1865408 YR21 | .0877544 .04306 2.04 0.042 .0033583 .1721506 YR22 | .0808838 .0373007 2.17 0.030 .0077757 .1539918 YR23 | .0771009 .0324569 2.38 0.018 .0134866 .1407152 YR24 | .068747 .0274256 2.51 0.012 .0149937 .1225002 YR25 | .0522654 .0232104 2.25 0.024 .0067738 .0977571 YR26 | .044298 .0184253 2.40 0.016 .008185 .0804109 YR27 | .0317476 .0134626 2.36 0.018 .0053613 .0581338 YR28 | .0213824 .0083433 2.56 0.010 .0050298 .037735 RACE | -.2626234 .0458024 -5.73 0.000 -.3523945 -.1728522 MARRIED | .2486185 .0072576 34.26 0.000 .2343938 .2628432 SMSA | -.1797347 .03053 -5.89 0.000 -.2395724 -.1198969 NEWENG | -.1152551 .0176329 -6.54 0.000 -.1498149 -.0806952 MIDATL | -.0549903 .0201772 -2.73 0.006 -.0945369 -.0154436 ENOCENT | .0124709 .0310094 0.40 0.688 -.0483065 .0732482 WNOCENT | -.1102132 .021887 -5.04 0.000 -.1531109 -.0673155 SOATL | -.1429486 .0320871 -4.46 0.000 -.2058381 -.0800591 ESOCENT | -.1699475 .048758 -3.49 0.000 -.2655113 -.0743836 WSOCENT | -.1064001 .027931 -3.81 0.000 -.1611438 -.0516563 MT | -.0928903 .0090208 -10.30 0.000 -.1105708 -.0752098 AGEQ | -.0741201 .0625819 -1.18 0.236 -.1967785 .0485382 AGEQSQ | .0007427 .000712 1.04 0.297 -.0006528 .0021383 _cons | 6.817009 1.361252 5.01 0.000 4.149003 9.485015 ------------------------------------------------------------------------------ Instrumented: EDUC Instruments: YR20 YR21 YR22 YR23 YR24 YR25 YR26 YR27 YR28 RACE MARRIED SMSA NEWENG MIDATL ENOCENT WNOCENT SOATL ESOCENT WSOCENT MT AGEQ AGEQSQ QTR120 QTR121 QTR122 QTR123 QTR124 QTR125 QTR126 QTR127 QTR128 QTR129 QTR220 QTR221 QTR222 QTR223 QTR224 QTR225 QTR226 QTR227 QTR228 QTR229 QTR320 QTR321 QTR322 QTR323 QTR324 QTR325 QTR326 QTR327 QTR328 . . . . end of do-file . clear . set mem 500m Current memory allocation current memory usage settable value description (1M = 1024k) -------------------------------------------------------------------- set maxvar 5000 max. variables allowed 1.909M set memory 500M max. data space 500.000M set matsize 400 max. RHS vars in models 1.254M ----------- 503.163M . . insheet using "C:\Documents and Settings\yhuang7\Desktop\2008 Spring Angrist\NEW7080.asc", delimiter(" > ") (27 vars, 1063634 obs) . save "C:\Documents and Settings\yhuang7\Desktop\2008 Spring Angrist\QOB_stata_data.dta" file C:\Documents and Settings\yhuang7\Desktop\2008 Spring Angrist\QOB_stata_data.dta saved . insheet using "C:\Documents and Settings\yhuang7\Desktop\2008 Spring Angrist\QOB_stata_data", delimiter > (" ") you must start with an empty dataset r(18); . insheet using "C:\Documents and Settings\yhuang7\Desktop\2008 Spring Angrist\QOB_stata_data" you must start with an empty dataset r(18); . clear . insheet using "C:\Documents and Settings\yhuang7\Desktop\2008 Spring Angrist\QOB_stata_data" file C:\Documents and Settings\yhuang7\Desktop\2008 Spring Angrist\QOB_stata_data.raw not found r(601); . insheet using "C:\Documents and Settings\yhuang7\Desktop\2008 Spring Angrist\QOB_stata_data.dta" (2 vars, 136 obs) . browse