------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ log: C:\Documents and Settings\yhuang7\Desktop\2008 Spring Angrist\QOB_IV.log log type: text opened on: 6 May 2008, 13:32:22 . . 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<20.30 (816435 observations deleted) . . ** Col 1 3 5 7 *** . reg LWKLYWGE EDUC YR20-YR28 Source | SS df MS Number of obs = 247199 -------------+------------------------------ F( 10,247188) = 5100.52 Model | 17934.8419 10 1793.48419 Prob > F = 0.0000 Residual | 86918.1779247188 .351627821 R-squared = 0.1710 -------------+------------------------------ Adj R-squared = 0.1710 Total | 104853.02247198 .424166133 Root MSE = .59298 ------------------------------------------------------------------------------ LWKLYWGE | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- EDUC | .0801595 .0003552 225.67 0.000 .0794633 .0808557 YR20 | .023484 .0053878 4.36 0.000 .0129241 .0340439 YR21 | .02899 .0053167 5.45 0.000 .0185693 .0394107 YR22 | .0232415 .0053556 4.34 0.000 .0127447 .0337383 YR23 | .0255564 .0053503 4.78 0.000 .0150699 .0360429 YR24 | .0264291 .005286 5.00 0.000 .0160686 .0367896 YR25 | .0308406 .0053234 5.79 0.000 .0204069 .0412743 YR26 | .0291043 .0053449 5.45 0.000 .0186284 .0395802 YR27 | .0271039 .0052807 5.13 0.000 .0167538 .037454 YR28 | .0242569 .0053348 4.55 0.000 .0138009 .034713 _cons | 4.20996 .0056167 749.54 0.000 4.198951 4.220968 ------------------------------------------------------------------------------ . reg LWKLYWGE EDUC YR20-YR28 AGEQ AGEQSQ Source | SS df MS Number of obs = 247199 -------------+------------------------------ F( 12,247186) = 4250.99 Model | 17936.8995 12 1494.74162 Prob > F = 0.0000 Residual | 86916.1203247186 .351622342 R-squared = 0.1711 -------------+------------------------------ Adj R-squared = 0.1710 Total | 104853.02247198 .424166133 Root MSE = .59298 ------------------------------------------------------------------------------ LWKLYWGE | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- EDUC | .0801676 .0003553 225.65 0.000 .0794712 .0808639 YR20 | -.0247372 .0390484 -0.63 0.526 -.1012711 .0517967 YR21 | -.0263221 .0352192 -0.75 0.455 -.0953509 .0427067 YR22 | -.0359758 .0322031 -1.12 0.264 -.099093 .0271414 YR23 | -.0344738 .029489 -1.17 0.242 -.0922716 .0233239 YR24 | -.0313263 .026628 -1.18 0.239 -.0835164 .0208639 YR25 | -.0215758 .0233483 -0.92 0.355 -.067338 .0241863 YR26 | -.014863 .0193589 -0.77 0.443 -.0528059 .0230798 YR27 | -.0053281 .0145304 -0.37 0.714 -.0338072 .0231511 YR28 | .0063699 .0091343 0.70 0.486 -.0115331 .0242729 AGEQ | .1445517 .0675997 2.14 0.032 .012058 .2770454 AGEQSQ | -.0015423 .0007478 -2.06 0.039 -.003008 -.0000765 _cons | .8830288 1.516431 0.58 0.560 -2.089136 3.855193 ------------------------------------------------------------------------------ . reg LWKLYWGE EDUC RACE MARRIED SMSA NEWENG MIDATL ENOCENT WNOCENT SOATL ESOCENT WSOCENT MT YR20-YR28 Source | SS df MS Number of obs = 247199 -------------+------------------------------ F( 21,247177) = 3508.40 Model | 24077.0055 21 1146.52407 Prob > F = 0.0000 Residual | 80776.0143247177 .326794217 R-squared = 0.2296 -------------+------------------------------ Adj R-squared = 0.2296 Total | 104853.02247198 .424166133 Root MSE = .57166 ------------------------------------------------------------------------------ LWKLYWGE | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- EDUC | .0701188 .0003546 197.71 0.000 .0694237 .0708139 RACE | -.2979509 .0043445 -68.58 0.000 -.306466 -.2894358 MARRIED | .2928024 .0037449 78.19 0.000 .2854625 .3001423 SMSA | -.1343181 .0025648 -52.37 0.000 -.1393451 -.1292912 NEWENG | -.0327304 .0059551 -5.50 0.000 -.0444023 -.0210586 MIDATL | -.0131068 .0041124 -3.19 0.001 -.0211669 -.0050467 ENOCENT | .019752 .0040477 4.88 0.000 .0118187 .0276854 WNOCENT | -.1414501 .0054026 -26.18 0.000 -.1520391 -.1308612 SOATL | -.1037871 .0044282 -23.44 0.000 -.1124663 -.0951078 ESOCENT | -.2077824 .0058935 -35.26 0.000 -.2193334 -.1962313 WSOCENT | -.1514476 .0050699 -29.87 0.000 -.1613844 -.1415107 MT | -.1268479 .0067059 -18.92 0.000 -.1399914 -.1137044 YR20 | .0122181 .005195 2.35 0.019 .0020359 .0224002 YR21 | .0161059 .0051267 3.14 0.002 .0060578 .026154 YR22 | .0139765 .0051637 2.71 0.007 .0038559 .0240972 YR23 | .0166631 .0051587 3.23 0.001 .0065523 .026774 YR24 | .0173557 .0050966 3.41 0.001 .0073665 .0273448 YR25 | .0251024 .0051323 4.89 0.000 .0150431 .0351616 YR26 | .0238508 .005153 4.63 0.000 .013751 .0339506 YR27 | .0226915 .0050911 4.46 0.000 .0127132 .0326699 YR28 | .019031 .0051432 3.70 0.000 .0089505 .0291116 _cons | 4.191501 .0072429 578.71 0.000 4.177305 4.205697 ------------------------------------------------------------------------------ . reg LWKLYWGE EDUC RACE MARRIED SMSA NEWENG MIDATL ENOCENT WNOCENT SOATL ESOCENT WSOCENT MT YR20-YR28 AGEQ AGEQSQ Source | SS df MS Number of obs = 247199 -------------+------------------------------ F( 23,247175) = 3203.50 Model | 24078.2095 23 1046.87868 Prob > F = 0.0000 Residual | 80774.8103247175 .326791991 R-squared = 0.2296 -------------+------------------------------ Adj R-squared = 0.2296 Total | 104853.02247198 .424166133 Root MSE = .57166 ------------------------------------------------------------------------------ LWKLYWGE | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- EDUC | .0701242 .0003547 197.69 0.000 .0694289 .0708194 RACE | -.2979528 .0043445 -68.58 0.000 -.3064679 -.2894376 MARRIED | .2927938 .0037449 78.18 0.000 .2854539 .3001337 SMSA | -.1343204 .0025648 -52.37 0.000 -.1393473 -.1292935 NEWENG | -.0327575 .0059551 -5.50 0.000 -.0444293 -.0210856 MIDATL | -.0131056 .0041123 -3.19 0.001 -.0211657 -.0050456 ENOCENT | .019735 .0040477 4.88 0.000 .0118016 .0276683 WNOCENT | -.1414505 .0054026 -26.18 0.000 -.1520395 -.1308615 SOATL | -.1037686 .0044283 -23.43 0.000 -.112448 -.0950893 ESOCENT | -.2077598 .0058935 -35.25 0.000 -.219311 -.1962087 WSOCENT | -.1513879 .0050702 -29.86 0.000 -.1613254 -.1414505 MT | -.1268288 .0067059 -18.91 0.000 -.1399723 -.1136853 YR20 | -.0178908 .037649 -0.48 0.635 -.0916818 .0559002 YR21 | -.0207608 .033957 -0.61 0.541 -.0873157 .0457941 YR22 | -.027055 .0310488 -0.87 0.384 -.0879098 .0337997 YR23 | -.0260209 .0284315 -0.92 0.360 -.0817458 .029704 YR24 | -.0244832 .0256729 -0.95 0.340 -.0748014 .0258349 YR25 | -.0134015 .0225105 -0.60 0.552 -.0575216 .0307185 YR26 | -.0088009 .0186642 -0.47 0.637 -.0453823 .0277804 YR27 | -.0016045 .0140087 -0.11 0.909 -.0290612 .0258521 YR28 | .0055357 .0088062 0.63 0.530 -.0117241 .0227955 AGEQ | .1162067 .0651707 1.78 0.075 -.0115261 .2439395 AGEQSQ | -.0012505 .000721 -1.73 0.083 -.0026636 .0001626 _cons | 1.534505 1.461947 1.05 0.294 -1.330872 4.399882 ------------------------------------------------------------------------------ . . . ** 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 = 247199 Wald chi2(10) = 104.35 Prob > chi2 = 0.0000 R-squared = 0.1708 Root MSE = .59307 ------------------------------------------------------------------------------ LWKLYWGE | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- EDUC | .0768557 .0150413 5.11 0.000 .0473752 .1063361 YR20 | .0217599 .0095191 2.29 0.022 .0031028 .040417 YR21 | .02776 .0077213 3.60 0.000 .0126265 .0428935 YR22 | .0220058 .007767 2.83 0.005 .0067827 .0372288 YR23 | .0246441 .0067731 3.64 0.000 .011369 .0379192 YR24 | .0257169 .0062014 4.15 0.000 .0135624 .0378715 YR25 | .0300778 .0063561 4.73 0.000 .0176201 .0425356 YR26 | .0286313 .0057629 4.97 0.000 .0173363 .0399264 YR27 | .0264814 .0059936 4.42 0.000 .0147342 .0382286 YR28 | .0239047 .0055712 4.29 0.000 .0129854 .0348241 _cons | 4.248729 .1765461 24.07 0.000 3.902705 4.594753 ------------------------------------------------------------------------------ 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 = 247199 Wald chi2(12) = 104.08 Prob > chi2 = 0.0000 R-squared = 0.1023 Root MSE = .61707 ------------------------------------------------------------------------------ LWKLYWGE | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- EDUC | .1310424 .033356 3.93 0.000 .0656659 .196419 YR20 | -.1134065 .0709263 -1.60 0.110 -.2524194 .0256064 YR21 | -.1081955 .0649955 -1.66 0.096 -.2355843 .0191934 YR22 | -.103873 .055718 -1.86 0.062 -.2130782 .0053322 YR23 | -.0938903 .0495893 -1.89 0.058 -.1910835 .0033029 YR24 | -.080653 .0425868 -1.89 0.058 -.1641217 .0028156 YR25 | -.0573875 .0337871 -1.70 0.089 -.123609 .0088341 YR26 | -.0427072 .0271859 -1.57 0.116 -.0959906 .0105761 YR27 | -.0188154 .0175163 -1.07 0.283 -.0531468 .015516 YR28 | .0003555 .0102907 0.03 0.972 -.019814 .020525 AGEQ | .140915 .0703863 2.00 0.045 .0029605 .2788696 AGEQSQ | -.0013605 .0007873 -1.73 0.084 -.0029035 .0001826 _cons | .1337524 1.652724 0.08 0.935 -3.105528 3.373033 ------------------------------------------------------------------------------ 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 = 247199 Wald chi2(21) =34596.79 Prob > chi2 = 0.0000 R-squared = 0.2294 Root MSE = .57173 ------------------------------------------------------------------------------ LWKLYWGE | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- EDUC | .0668509 .0150912 4.43 0.000 .0372727 .0964291 YR20 | .0103977 .0098807 1.05 0.293 -.0089682 .0297636 YR21 | .0147392 .0081301 1.81 0.070 -.0011954 .0306738 YR22 | .012674 .0079265 1.60 0.110 -.0028617 .0282098 YR23 | .015665 .0069177 2.26 0.024 .0021064 .0292235 YR24 | .0165313 .0063613 2.60 0.009 .0040635 .0289992 YR25 | .0243016 .0063259 3.84 0.000 .011903 .0367001 YR26 | .0233091 .0057284 4.07 0.000 .0120817 .0345365 YR27 | .0220532 .005883 3.75 0.000 .0105227 .0335837 YR28 | .0186236 .005477 3.40 0.001 .0078888 .0293583 RACE | -.3055315 .035266 -8.66 0.000 -.3746516 -.2364114 MARRIED | .2941322 .0071915 40.90 0.000 .2800372 .3082272 SMSA | -.1362415 .0092426 -14.74 0.000 -.1543565 -.1181264 NEWENG | -.0340735 .0085978 -3.96 0.000 -.050925 -.0172221 MIDATL | -.0145956 .0080099 -1.82 0.068 -.0302948 .0011036 ENOCENT | .0173361 .0118655 1.46 0.144 -.0059199 .0405922 WNOCENT | -.143347 .0102902 -13.93 0.000 -.1635153 -.1231787 SOATL | -.1073946 .0172338 -6.23 0.000 -.1411723 -.073617 ESOCENT | -.2131811 .0256118 -8.32 0.000 -.2633794 -.1629828 WSOCENT | -.1551598 .0178727 -8.68 0.000 -.1901898 -.1201299 MT | -.1273555 .0071044 -17.93 0.000 -.1412798 -.1134311 _cons | 4.232152 .1878152 22.53 0.000 3.864041 4.600263 ------------------------------------------------------------------------------ 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-QTR129 QTR220-QTR229 QTR320-QTR329 > YR20-YR28) note: QTR329 dropped due to collinearity Instrumental variables (2SLS) regression Number of obs = 247199 Wald chi2(23) =33602.64 Prob > chi2 = 0.0000 R-squared = 0.2065 Root MSE = .58017 ------------------------------------------------------------------------------ LWKLYWGE | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- EDUC | .1007151 .033412 3.01 0.003 .0352289 .1662014 YR20 | -.0679547 .0667052 -1.02 0.308 -.1986944 .062785 YR21 | -.0669484 .0610922 -1.10 0.273 -.1866868 .0527901 YR22 | -.0659505 .0528911 -1.25 0.212 -.1696151 .0377141 YR23 | -.060054 .0470548 -1.28 0.202 -.1522797 .0321717 YR24 | -.0525385 .0402208 -1.31 0.191 -.1313697 .0262928 YR25 | -.0342586 .0322616 -1.06 0.288 -.0974902 .0289729 YR26 | -.0247797 .0257555 -0.96 0.336 -.0752595 .0257001 YR27 | -.009527 .0166432 -0.57 0.567 -.0421469 .023093 YR28 | .002424 .0095616 0.25 0.800 -.0163163 .0211643 RACE | -.2270555 .0775561 -2.93 0.003 -.3790626 -.0750485 MARRIED | .2803622 .0140991 19.89 0.000 .2527284 .307996 SMSA | -.1163201 .0198307 -5.87 0.000 -.1551876 -.0774526 NEWENG | -.0201888 .0149986 -1.35 0.178 -.0495854 .0092079 MIDATL | .0008335 .0157854 0.05 0.958 -.0301053 .0317722 ENOCENT | .0423372 .0250246 1.69 0.091 -.0067101 .0913844 WNOCENT | -.1236594 .0201894 -6.12 0.000 -.1632299 -.0840888 SOATL | -.069971 .0371848 -1.88 0.060 -.1428518 .0029099 ESOCENT | -.1571906 .0555523 -2.83 0.005 -.2660711 -.04831 WSOCENT | -.1165475 .0383975 -3.04 0.002 -.1918051 -.0412899 MT | -.1220909 .0085495 -14.28 0.000 -.1388476 -.1053341 AGEQ | .1170352 .0661468 1.77 0.077 -.0126102 .2466806 AGEQSQ | -.0011772 .0007361 -1.60 0.110 -.0026199 .0002654 _cons | .9994391 1.594639 0.63 0.531 -2.125997 4.124875 ------------------------------------------------------------------------------ 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 . print @RESULT translator RESULT2prn not found r(111); . print @RESULTS translator RESULTS2prn not found r(111); . print @Results . exit, clear