. . * TRADIT2.DO * . . * Compares regressions from our methodology to traditional methodology in lit > erature * . * That is, naive estimators that don't try to purge prediction effect > * . . * Revision for second revision of JIE paper * . . set more 1 . set mat 200 . set mem 20m (20480k) . . use movie . . gen oscar = 0 . replace oscar = 1 if oscarmaj > 0 | oscarmin > 0 (27 real changes made) . . gen lwk1cpi = ln(wk1cpi) . gen wk1per = wk1cpi / openscr . gen lwk1per = ln(wk1per) . gen boxres = grosscpi - wk1cpi . gen lboxres = ln(boxres) . gen boxresp = boxres / openscr . gen lboxresp = ln(boxresp) . gen openper = wk1cpi / grosscpi . gen lgross = ln(grosscpi) . . drop if pre == 1 (39 observations deleted) . . . * create variable for date of first Friday movie shown on. This will . * allow clustering on opening weekend. . . gen weekend = opendate + 6 - openwday . . . *------------------------------- . * Regression (1): . * opening weekend box office . * omitting quality proxies . * clustering on weekend . * traditional methodology . * all movies . *------------------------------- . . reg lwk1cpi ou uu advent animated children comedy crime document drama fantas > y noir horror musical mystery romance scifi thrill war western disney fox son > y mgm_ua gram orion univers warner paramnt year2-year9 openscr fourday month1 > -month11, robust cluster(weekend) Regression with robust standard errors Number of obs = 609 F( 47, 346) = 8.64 Prob > F = 0.0000 R-squared = 0.7615 Number of clusters (weekend) = 347 Root MSE = .49546 ------------------------------------------------------------------------------ | Robust lwk1cpi | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------+-------------------------------------------------------------------- ou | .2178237 .0475903 4.577 0.000 .1242211 .3114263 uu | .3707363 .057414 6.457 0.000 .2578119 .4836607 advent | -.16783 .0641266 -2.617 0.009 -.293957 -.041703 animated | -.2486254 .1732008 -1.435 0.152 -.5892843 .0920335 children | -.279725 .1267166 -2.207 0.028 -.5289568 -.0304931 comedy | .0284586 .0537743 0.529 0.597 -.077307 .1342243 crime | .2869374 .0830295 3.456 0.001 .1236314 .4502434 document | -.7951303 .1393917 -5.704 0.000 -1.069292 -.5209687 drama | .1161661 .0521903 2.226 0.027 .013516 .2188162 fantasy | .304063 .1100755 2.762 0.006 .0875617 .5205643 noir | -.4564384 .1383381 -3.299 0.001 -.7285279 -.1843489 horror | -.0177692 .0899887 -0.197 0.844 -.1947629 .1592245 musical | -.2349068 .2069555 -1.135 0.257 -.6419559 .1721423 mystery | .1595962 .0880416 1.813 0.071 -.0135678 .3327603 romance | .1918155 .0576047 3.330 0.001 .078516 .305115 scifi | .0914352 .0764541 1.196 0.233 -.058938 .2418085 thrill | .1517716 .056321 2.695 0.007 .040997 .2625461 war | .0870431 .1186818 0.733 0.464 -.1463854 .3204716 western | .0430576 .1216026 0.354 0.723 -.1961157 .282231 disney | .6182985 .1512998 4.087 0.000 .3207154 .9158816 fox | .539333 .1598471 3.374 0.001 .2249388 .8537272 sony | .4723685 .1492252 3.165 0.002 .1788658 .7658711 mgm_ua | .1071716 .1656241 0.647 0.518 -.2185852 .4329283 gram | .4362906 .2004049 2.177 0.030 .0421255 .8304557 orion | .1473121 .1686275 0.874 0.383 -.1843518 .478976 univers | .5626128 .1517264 3.708 0.000 .2641905 .861035 warner | .4604923 .1459993 3.154 0.002 .1733345 .7476501 paramnt | .5003035 .1500737 3.334 0.001 .2051321 .795475 year2 | .1222266 .0978283 1.249 0.212 -.0701865 .3146396 year3 | .1084486 .1012999 1.071 0.285 -.0907924 .3076896 year4 | .1462608 .0873125 1.675 0.095 -.0254693 .317991 year5 | .2039434 .0972731 2.097 0.037 .0126225 .3952644 year6 | .028123 .0835469 0.337 0.737 -.1362007 .1924467 year7 | .04904 .0938079 0.523 0.601 -.1354656 .2335455 year8 | -.0973238 .0881609 -1.104 0.270 -.2707226 .0760749 year9 | -.2128638 .1058475 -2.011 0.045 -.4210493 -.0046783 openscr | .0012184 .0000482 25.252 0.000 .0011235 .0013133 fourday | .0695238 .0634376 1.096 0.274 -.0552479 .1942956 month1 | .1241584 .0978514 1.269 0.205 -.0683 .3166167 month2 | .1137735 .0825254 1.379 0.169 -.0485412 .2760881 month3 | .1182068 .0795752 1.485 0.138 -.0383052 .2747187 month4 | -.1243128 .0794945 -1.564 0.119 -.280666 .0320404 month5 | -.0773548 .0732153 -1.057 0.291 -.2213578 .0666482 month6 | .2007552 .1001971 2.004 0.046 .0036832 .3978272 month7 | .2873315 .0952053 3.018 0.003 .1000776 .4745854 month8 | -.0218016 .0909871 -0.240 0.811 -.200759 .1571559 month9 | -.1006664 .0966885 -1.041 0.299 -.2908377 .0895048 month10 | -.0572999 .0879695 -0.651 0.515 -.2303222 .1157225 month11 | .1587615 .119225 1.332 0.184 -.0757354 .3932585 _cons | 12.64775 .1635049 77.354 0.000 12.32616 12.96934 ------------------------------------------------------------------------------ . . test year2 year3 year4 year5 year6 year7 year8 year9 ( 1) year2 = 0.0 ( 2) year3 = 0.0 ( 3) year4 = 0.0 ( 4) year5 = 0.0 ( 5) year6 = 0.0 ( 6) year7 = 0.0 ( 7) year8 = 0.0 ( 8) year9 = 0.0 F( 8, 346) = 3.85 Prob > F = 0.0002 . test month1 month2 month3 month4 month5 month6 month7 month8 month9 month10 m > onth11 ( 1) month1 = 0.0 ( 2) month2 = 0.0 ( 3) month3 = 0.0 ( 4) month4 = 0.0 ( 5) month5 = 0.0 ( 6) month6 = 0.0 ( 7) month7 = 0.0 ( 8) month8 = 0.0 ( 9) month9 = 0.0 (10) month10 = 0.0 (11) month11 = 0.0 F( 11, 346) = 3.75 Prob > F = 0.0000 . test advent animated children comedy crime document drama fantasy noir horror > musical mystery romance scifi thrill war western ( 1) advent = 0.0 ( 2) animated = 0.0 ( 3) children = 0.0 ( 4) comedy = 0.0 ( 5) crime = 0.0 ( 6) document = 0.0 ( 7) drama = 0.0 ( 8) fantasy = 0.0 ( 9) noir = 0.0 (10) horror = 0.0 (11) musical = 0.0 (12) mystery = 0.0 (13) romance = 0.0 (14) scifi = 0.0 (15) thrill = 0.0 (16) war = 0.0 (17) western = 0.0 F( 17, 346) = 5.38 Prob > F = 0.0000 . test disney fox sony mgm_ua gram orion univers warner paramnt ( 1) disney = 0.0 ( 2) fox = 0.0 ( 3) sony = 0.0 ( 4) mgm_ua = 0.0 ( 5) gram = 0.0 ( 6) orion = 0.0 ( 7) univers = 0.0 ( 8) warner = 0.0 ( 9) paramnt = 0.0 F( 9, 346) = 5.47 Prob > F = 0.0000 . . . *------------------------------- . * Regression (2): . * opening weekend box office . * including quality proxies . * clustering on weekend . * traditional methodology . * all movies . *------------------------------- . . reg lwk1cpi ou uu advent animated children comedy crime document drama fantas > y noir horror musical mystery romance scifi thrill war western disney fox son > y mgm_ua gram orion univers warner paramnt maltin year2-year9 openscr fourday > month1-month11, robust cluster(weekend) Regression with robust standard errors Number of obs = 609 F( 48, 346) = 6.86 Prob > F = 0.0000 R-squared = 0.7786 Number of clusters (weekend) = 347 Root MSE = .47782 ------------------------------------------------------------------------------ | Robust lwk1cpi | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------+-------------------------------------------------------------------- ou | .1544022 .045638 3.383 0.001 .0646394 .2441649 uu | .24807 .0578641 4.287 0.000 .1342603 .3618798 advent | -.2163049 .0617773 -3.501 0.001 -.3378111 -.0947986 animated | -.1955916 .1818258 -1.076 0.283 -.5532146 .1620314 children | -.2822593 .1263367 -2.234 0.026 -.5307438 -.0337748 comedy | .0139722 .0511952 0.273 0.785 -.0867206 .1146651 crime | .2605922 .0806086 3.233 0.001 .1020477 .4191367 document | -.6413162 .1402278 -4.573 0.000 -.9171224 -.3655099 drama | .0778413 .0497013 1.566 0.118 -.0199134 .1755961 fantasy | .3659553 .1048204 3.491 0.001 .15979 .5721206 noir | -.4788627 .1320129 -3.627 0.000 -.7385115 -.2192138 horror | -.058685 .0884566 -0.663 0.507 -.2326654 .1152954 musical | -.2809309 .1958473 -1.434 0.152 -.6661319 .1042701 mystery | .1218421 .0800587 1.522 0.129 -.0356209 .279305 romance | .1791728 .0569891 3.144 0.002 .0670842 .2912614 scifi | .0926867 .0762139 1.216 0.225 -.0572142 .2425877 thrill | .1238795 .0522793 2.370 0.018 .0210542 .2267048 war | .0406006 .1250421 0.325 0.746 -.2053377 .2865388 western | .045561 .1158031 0.393 0.694 -.1822056 .2733276 disney | .5266542 .146386 3.598 0.000 .2387358 .8145727 fox | .4450266 .1546042 2.878 0.004 .1409443 .7491088 sony | .3958985 .1454372 2.722 0.007 .1098462 .6819507 mgm_ua | .083666 .1618556 0.517 0.606 -.2346787 .4020106 gram | .3437266 .2045481 1.680 0.094 -.0585875 .7460407 orion | .0885613 .1649605 0.537 0.592 -.2358902 .4130128 univers | .4640039 .150556 3.082 0.002 .1678838 .7601241 warner | .3697629 .1440708 2.567 0.011 .0863982 .6531276 paramnt | .4273166 .1483879 2.880 0.004 .1354609 .7191724 maltin | .2605022 .0390926 6.664 0.000 .1836132 .3373912 year2 | .1187265 .0924251 1.285 0.200 -.0630592 .3005123 year3 | .1001102 .0940473 1.064 0.288 -.0848661 .2850865 year4 | .1148499 .0822703 1.396 0.164 -.0469629 .2766627 year5 | .1709391 .0917687 1.863 0.063 -.0095555 .3514338 year6 | .0229427 .0773039 0.297 0.767 -.1291021 .1749874 year7 | .0500285 .0878646 0.569 0.569 -.1227873 .2228444 year8 | -.1033752 .0829483 -1.246 0.214 -.2665216 .0597711 year9 | -.2207907 .0991802 -2.226 0.027 -.4158627 -.0257187 openscr | .0012187 .0000466 26.126 0.000 .001127 .0013105 fourday | .1282691 .0639914 2.004 0.046 .0024079 .2541302 month1 | .2480274 .0983311 2.522 0.012 .0546255 .4414293 month2 | .1936775 .0842906 2.298 0.022 .027891 .359464 month3 | .2025161 .0772193 2.623 0.009 .0506378 .3543943 month4 | -.0060343 .0757445 -0.080 0.937 -.1550119 .1429432 month5 | -.0338517 .0721796 -0.469 0.639 -.1758178 .1081143 month6 | .2246429 .0944133 2.379 0.018 .0389468 .4103391 month7 | .3433338 .0922639 3.721 0.000 .1618651 .5248025 month8 | .0411492 .090157 0.456 0.648 -.1361757 .218474 month9 | -.0185979 .1032982 -0.180 0.857 -.2217694 .1845737 month10 | .0110761 .0835108 0.133 0.895 -.1531767 .1753288 month11 | .2213752 .1179613 1.877 0.061 -.0106363 .4533867 _cons | 12.14939 .1740687 69.797 0.000 11.80703 12.49176 ------------------------------------------------------------------------------ . . test year2 year3 year4 year5 year6 year7 year8 year9 ( 1) year2 = 0.0 ( 2) year3 = 0.0 ( 3) year4 = 0.0 ( 4) year5 = 0.0 ( 5) year6 = 0.0 ( 6) year7 = 0.0 ( 7) year8 = 0.0 ( 8) year9 = 0.0 F( 8, 346) = 3.68 Prob > F = 0.0004 . test month1 month2 month3 month4 month5 month6 month7 month8 month9 month10 m > onth11 ( 1) month1 = 0.0 ( 2) month2 = 0.0 ( 3) month3 = 0.0 ( 4) month4 = 0.0 ( 5) month5 = 0.0 ( 6) month6 = 0.0 ( 7) month7 = 0.0 ( 8) month8 = 0.0 ( 9) month9 = 0.0 (10) month10 = 0.0 (11) month11 = 0.0 F( 11, 346) = 4.08 Prob > F = 0.0000 . test advent animated children comedy crime document drama fantasy noir horror > musical mystery romance scifi thrill war western ( 1) advent = 0.0 ( 2) animated = 0.0 ( 3) children = 0.0 ( 4) comedy = 0.0 ( 5) crime = 0.0 ( 6) document = 0.0 ( 7) drama = 0.0 ( 8) fantasy = 0.0 ( 9) noir = 0.0 (10) horror = 0.0 (11) musical = 0.0 (12) mystery = 0.0 (13) romance = 0.0 (14) scifi = 0.0 (15) thrill = 0.0 (16) war = 0.0 (17) western = 0.0 F( 17, 346) = 5.17 Prob > F = 0.0000 . test disney fox sony mgm_ua gram orion univers warner paramnt ( 1) disney = 0.0 ( 2) fox = 0.0 ( 3) sony = 0.0 ( 4) mgm_ua = 0.0 ( 5) gram = 0.0 ( 6) orion = 0.0 ( 7) univers = 0.0 ( 8) warner = 0.0 ( 9) paramnt = 0.0 F( 9, 346) = 4.38 Prob > F = 0.0000 . . . *------------------------------- . * Regression (3): . * opening weekend box office . * omitting quality proxies . * clustering on weekend . * traditional methodology . * just movies reviewed during . * not after . *------------------------------- . . reg lwk1cpi ou uu advent animated children comedy crime document drama fantas > y noir horror musical mystery romance scifi thrill war western disney fox son > y mgm_ua gram orion univers warner paramnt year2-year9 openscr fourday month1 > -month11 if aft~=1, robust cluster(weekend) Regression with robust standard errors Number of obs = 492 F( 47, 284) = 8.56 Prob > F = 0.0000 R-squared = 0.7554 Number of clusters (weekend) = 285 Root MSE = .49758 ------------------------------------------------------------------------------ | Robust lwk1cpi | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------+-------------------------------------------------------------------- ou | .249796 .0531315 4.701 0.000 .1452146 .3543774 uu | .4045592 .0637528 6.346 0.000 .2790713 .5300471 advent | -.2216967 .0714012 -3.105 0.002 -.3622394 -.081154 animated | -.3142413 .2122707 -1.480 0.140 -.7320648 .1035821 children | -.2332831 .1641477 -1.421 0.156 -.5563835 .0898174 comedy | -.0039721 .0585728 -0.068 0.946 -.119264 .1113198 crime | .3248238 .0982069 3.308 0.001 .131518 .5181295 document | (dropped) drama | .1024042 .0583896 1.754 0.081 -.012527 .2173355 fantasy | .2414768 .1279488 1.887 0.060 -.0103715 .4933251 noir | -.6229093 .1424479 -4.373 0.000 -.9032969 -.3425217 horror | .0449618 .0949213 0.474 0.636 -.1418767 .2318004 musical | -.2799423 .2338636 -1.197 0.232 -.7402682 .1803835 mystery | .1271721 .0929013 1.369 0.172 -.0556904 .3100347 romance | .168048 .0652714 2.575 0.011 .0395709 .2965251 scifi | .1008412 .0913878 1.103 0.271 -.0790422 .2807245 thrill | .150055 .0610788 2.457 0.015 .0298304 .2702796 war | .1551477 .1398298 1.110 0.268 -.1200866 .4303819 western | .068367 .1500406 0.456 0.649 -.2269656 .3636997 disney | .6983023 .2039952 3.423 0.001 .2967679 1.099837 fox | .7188576 .2089207 3.441 0.001 .307628 1.130087 sony | .5862381 .2007726 2.920 0.004 .1910468 .9814293 mgm_ua | .2098003 .2221305 0.944 0.346 -.2274307 .6470313 gram | .5451134 .2616396 2.083 0.038 .0301145 1.060112 orion | .2685423 .2247778 1.195 0.233 -.1738996 .7109841 univers | .6712362 .2027633 3.310 0.001 .2721265 1.070346 warner | .5769084 .198466 2.907 0.004 .1862574 .9675594 paramnt | .5704825 .2030066 2.810 0.005 .170894 .970071 year2 | .0758699 .1156634 0.656 0.512 -.1517964 .3035361 year3 | .1040875 .1220972 0.852 0.395 -.1362428 .3444179 year4 | .0466008 .1108727 0.420 0.675 -.1716357 .2648373 year5 | .160616 .118177 1.359 0.175 -.0719979 .3932299 year6 | -.0347283 .1048479 -0.331 0.741 -.241106 .1716493 year7 | .0222388 .1094353 0.203 0.839 -.1931685 .237646 year8 | -.1287642 .1035542 -1.243 0.215 -.3325954 .075067 year9 | -.205871 .1211154 -1.700 0.090 -.4442688 .0325269 openscr | .0011692 .0000518 22.562 0.000 .0010672 .0012712 fourday | .0687077 .0830376 0.827 0.409 -.0947395 .232155 month1 | -.0523716 .1266251 -0.414 0.679 -.3016144 .1968711 month2 | .0561045 .091062 0.616 0.538 -.1231376 .2353467 month3 | .1259448 .0818175 1.539 0.125 -.0351008 .2869904 month4 | -.1138311 .074481 -1.528 0.128 -.2604359 .0327736 month5 | -.091254 .084451 -1.081 0.281 -.2574833 .0749752 month6 | .2457115 .1008383 2.437 0.015 .0472263 .4441968 month7 | .2790357 .0962108 2.900 0.004 .0896589 .4684125 month8 | -.0927321 .1001278 -0.926 0.355 -.2898189 .1043547 month9 | -.1303235 .103988 -1.253 0.211 -.3350085 .0743614 month10 | -.0604124 .0984035 -0.614 0.540 -.2541051 .1332803 month11 | .1584909 .1280327 1.238 0.217 -.0935225 .4105042 _cons | 12.67645 .2124279 59.674 0.000 12.25831 13.09458 ------------------------------------------------------------------------------ . . test year2 year3 year4 year5 year6 year7 year8 year9 ( 1) year2 = 0.0 ( 2) year3 = 0.0 ( 3) year4 = 0.0 ( 4) year5 = 0.0 ( 5) year6 = 0.0 ( 6) year7 = 0.0 ( 7) year8 = 0.0 ( 8) year9 = 0.0 F( 8, 284) = 2.72 Prob > F = 0.0066 . test month1 month2 month3 month4 month5 month6 month7 month8 month9 month10 m > onth11 ( 1) month1 = 0.0 ( 2) month2 = 0.0 ( 3) month3 = 0.0 ( 4) month4 = 0.0 ( 5) month5 = 0.0 ( 6) month6 = 0.0 ( 7) month7 = 0.0 ( 8) month8 = 0.0 ( 9) month9 = 0.0 (10) month10 = 0.0 (11) month11 = 0.0 F( 11, 284) = 3.73 Prob > F = 0.0001 . test advent animated children comedy crime document drama fantasy noir horror > musical mystery romance scifi thrill war western ( 1) advent = 0.0 ( 2) animated = 0.0 ( 3) children = 0.0 ( 4) comedy = 0.0 ( 5) crime = 0.0 ( 6) document = 0.0 ( 7) drama = 0.0 ( 8) fantasy = 0.0 ( 9) noir = 0.0 (10) horror = 0.0 (11) musical = 0.0 (12) mystery = 0.0 (13) romance = 0.0 (14) scifi = 0.0 (15) thrill = 0.0 (16) war = 0.0 (17) western = 0.0 Constraint 6 dropped F( 16, 284) = 4.00 Prob > F = 0.0000 . test disney fox sony mgm_ua gram orion univers warner paramnt ( 1) disney = 0.0 ( 2) fox = 0.0 ( 3) sony = 0.0 ( 4) mgm_ua = 0.0 ( 5) gram = 0.0 ( 6) orion = 0.0 ( 7) univers = 0.0 ( 8) warner = 0.0 ( 9) paramnt = 0.0 F( 9, 284) = 4.10 Prob > F = 0.0001 . . *------------------------------- . * Regression (4): . * opening weekend box office . * including quality proxies . * clustering on weekend . * traditional methodology . * just movies reviewed during . * not after . *------------------------------- . . reg lwk1cpi ou uu advent animated children comedy crime document drama fantas > y noir horror musical mystery romance scifi thrill war western disney fox son > y mgm_ua gram orion univers warner paramnt maltin year2-year9 openscr fourday > month1-month11 if aft~=1, robust cluster(weekend) Regression with robust standard errors Number of obs = 492 F( 48, 284) = 9.58 Prob > F = 0.0000 R-squared = 0.7733 Number of clusters (weekend) = 285 Root MSE = .47961 ------------------------------------------------------------------------------ | Robust lwk1cpi | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------+-------------------------------------------------------------------- ou | .1764782 .0535687 3.294 0.001 .0710362 .2819203 uu | .2836623 .0658137 4.310 0.000 .1541177 .4132069 advent | -.2793479 .0685644 -4.074 0.000 -.4143068 -.144389 animated | -.3128277 .2122681 -1.474 0.142 -.7306461 .1049908 children | -.2058413 .1644961 -1.251 0.212 -.5296276 .1179449 comedy | -.008443 .0562427 -0.150 0.881 -.1191485 .1022624 crime | .2855376 .0969675 2.945 0.004 .0946715 .4764038 document | (dropped) drama | .0738833 .0559901 1.320 0.188 -.0363249 .1840915 fantasy | .3036191 .1157825 2.622 0.009 .0757185 .5315198 noir | -.6295375 .1361932 -4.622 0.000 -.8976136 -.3614613 horror | .0147325 .0960588 0.153 0.878 -.1743451 .2038101 musical | -.3002023 .2175494 -1.380 0.169 -.7284161 .1280116 mystery | .0955243 .0828122 1.154 0.250 -.0674791 .2585278 romance | .1519073 .0660817 2.299 0.022 .0218352 .2819794 scifi | .1086757 .0905177 1.201 0.231 -.069495 .2868463 thrill | .1261781 .0552781 2.283 0.023 .0173714 .2349849 war | .1094653 .1552019 0.705 0.481 -.1960267 .4149574 western | .0929841 .1440813 0.645 0.519 -.1906185 .3765868 disney | .6270893 .1965527 3.190 0.002 .2402043 1.013974 fox | .6565744 .2011075 3.265 0.001 .2607242 1.052425 sony | .5370696 .1938254 2.771 0.006 .1555529 .9185862 mgm_ua | .2333928 .2152485 1.084 0.279 -.1902921 .6570777 gram | .4795725 .2633691 1.821 0.070 -.0388305 .9979756 orion | .2407847 .2165217 1.112 0.267 -.1854062 .6669756 univers | .5961084 .1985317 3.003 0.003 .2053281 .9868886 warner | .508349 .1934657 2.628 0.009 .1275403 .8891577 paramnt | .5127844 .1986065 2.582 0.010 .1218568 .9037119 maltin | .2671652 .0466932 5.722 0.000 .1752565 .3590739 year2 | .0548559 .1088652 0.504 0.615 -.1594291 .2691409 year3 | .1135339 .1125362 1.009 0.314 -.107977 .3350448 year4 | -.0099857 .1052943 -0.095 0.925 -.217242 .1972706 year5 | .1360581 .1101162 1.236 0.218 -.0806894 .3528055 year6 | -.0366699 .0974509 -0.376 0.707 -.2284876 .1551478 year7 | .0276322 .1017537 0.272 0.786 -.1726549 .2279193 year8 | -.1350907 .0973561 -1.388 0.166 -.3267217 .0565404 year9 | -.203067 .1133382 -1.792 0.074 -.4261565 .0200225 openscr | .0011702 .000051 22.958 0.000 .0010699 .0012705 fourday | .1246399 .0779329 1.599 0.111 -.0287595 .2780393 month1 | .0779093 .1278941 0.609 0.543 -.1738314 .3296499 month2 | .1193018 .0941308 1.267 0.206 -.0659807 .3045844 month3 | .2105707 .0793852 2.653 0.008 .0543127 .3668288 month4 | -.0099616 .0715596 -0.139 0.889 -.150816 .1308928 month5 | -.0778601 .0850164 -0.916 0.361 -.2452023 .0894821 month6 | .2737429 .0948375 2.886 0.004 .0870693 .4604165 month7 | .316783 .0934592 3.390 0.001 .1328223 .5007437 month8 | -.0370676 .1021476 -0.363 0.717 -.23813 .1639948 month9 | -.0338988 .1126214 -0.301 0.764 -.2555773 .1877797 month10 | -.0118321 .0917287 -0.129 0.897 -.1923864 .1687223 month11 | .2286261 .1247947 1.832 0.068 -.0170137 .474266 _cons | 12.13158 .2282644 53.147 0.000 11.68228 12.58089 ------------------------------------------------------------------------------ . . test year2 year3 year4 year5 year6 year7 year8 year9 ( 1) year2 = 0.0 ( 2) year3 = 0.0 ( 3) year4 = 0.0 ( 4) year5 = 0.0 ( 5) year6 = 0.0 ( 6) year7 = 0.0 ( 7) year8 = 0.0 ( 8) year9 = 0.0 F( 8, 284) = 2.74 Prob > F = 0.0063 . test month1 month2 month3 month4 month5 month6 month7 month8 month9 month10 m > onth11 ( 1) month1 = 0.0 ( 2) month2 = 0.0 ( 3) month3 = 0.0 ( 4) month4 = 0.0 ( 5) month5 = 0.0 ( 6) month6 = 0.0 ( 7) month7 = 0.0 ( 8) month8 = 0.0 ( 9) month9 = 0.0 (10) month10 = 0.0 (11) month11 = 0.0 F( 11, 284) = 3.90 Prob > F = 0.0000 . test advent animated children comedy crime document drama fantasy noir horror > musical mystery romance scifi thrill war western ( 1) advent = 0.0 ( 2) animated = 0.0 ( 3) children = 0.0 ( 4) comedy = 0.0 ( 5) crime = 0.0 ( 6) document = 0.0 ( 7) drama = 0.0 ( 8) fantasy = 0.0 ( 9) noir = 0.0 (10) horror = 0.0 (11) musical = 0.0 (12) mystery = 0.0 (13) romance = 0.0 (14) scifi = 0.0 (15) thrill = 0.0 (16) war = 0.0 (17) western = 0.0 Constraint 6 dropped F( 16, 284) = 4.35 Prob > F = 0.0000 . test disney fox sony mgm_ua gram orion univers warner paramnt ( 1) disney = 0.0 ( 2) fox = 0.0 ( 3) sony = 0.0 ( 4) mgm_ua = 0.0 ( 5) gram = 0.0 ( 6) orion = 0.0 ( 7) univers = 0.0 ( 8) warner = 0.0 ( 9) paramnt = 0.0 F( 9, 284) = 3.31 Prob > F = 0.0007 . . *------------------------------- . * Regression (5): . * opening weekend box office . * omitting quality proxies . * clustering on weekend . * traditional methodology . * dramas . *------------------------------- . . reg lwk1cpi ou uu advent disney fox sony mgm_ua gram orion univers warner par > amnt year2-year9 openscr fourday month1-month11 if drama==1, robust cluster(w > eekend) Regression with robust standard errors Number of obs = 198 F( 33, 168) = 22.77 Prob > F = 0.0000 R-squared = 0.7693 Number of clusters (weekend) = 169 Root MSE = .53936 ------------------------------------------------------------------------------ | Robust lwk1cpi | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------+-------------------------------------------------------------------- ou | .1968197 .104388 1.885 0.061 -.0092617 .402901 uu | .2726479 .1080974 2.522 0.013 .0592437 .4860521 advent | -.1836034 .1799211 -1.020 0.309 -.538801 .1715942 disney | .9570977 .2531168 3.781 0.000 .4573984 1.456797 fox | .5897882 .3086275 1.911 0.058 -.0194996 1.199076 sony | .8557001 .244241 3.504 0.001 .3735232 1.337877 mgm_ua | .8390375 .2668493 3.144 0.002 .3122277 1.365847 gram | .7930459 .3423859 2.316 0.022 .1171128 1.468979 orion | .3687283 .3576968 1.031 0.304 -.3374315 1.074888 univers | 1.268927 .264919 4.790 0.000 .7459273 1.791926 warner | .9105238 .2546794 3.575 0.000 .4077395 1.413308 paramnt | 1.012632 .2586511 3.915 0.000 .5020067 1.523257 year2 | .1423919 .1901011 0.749 0.455 -.2329028 .5176867 year3 | .2175212 .2249384 0.967 0.335 -.2265488 .6615912 year4 | .2255526 .14044 1.606 0.110 -.0517021 .5028072 year5 | .3696759 .1642104 2.251 0.026 .0454943 .6938576 year6 | .2207779 .1419239 1.556 0.122 -.0594062 .500962 year7 | .3464502 .1341647 2.582 0.011 .0815842 .6113162 year8 | .0258711 .1530651 0.169 0.866 -.2763077 .32805 year9 | -.0373312 .1846334 -0.202 0.840 -.4018318 .3271694 openscr | .0011775 .0000783 15.043 0.000 .001023 .001332 fourday | .1489014 .1361588 1.094 0.276 -.1199012 .417704 month1 | .0532072 .2792369 0.191 0.849 -.4980581 .6044726 month2 | -.1741533 .2301622 -0.757 0.450 -.6285362 .2802295 month3 | -.0509801 .2263268 -0.225 0.822 -.4977911 .3958308 month4 | -.2578348 .2404166 -1.072 0.285 -.7324616 .216792 month5 | -.4307807 .232606 -1.852 0.066 -.889988 .0284266 month6 | -.3602156 .2954199 -1.219 0.224 -.9434292 .2229979 month7 | .4704435 .2678091 1.757 0.081 -.0582612 .9991482 month8 | -.1204157 .2661654 -0.452 0.652 -.6458755 .4050442 month9 | -.2442865 .2434428 -1.003 0.317 -.7248876 .2363146 month10 | -.1493393 .2602057 -0.574 0.567 -.6630336 .364355 month11 | -.0863635 .2688687 -0.321 0.748 -.6171602 .4444331 _cons | 12.54879 .276865 45.325 0.000 12.0022 13.09537 ------------------------------------------------------------------------------ . . test year2 year3 year4 year5 year6 year7 year8 year9 ( 1) year2 = 0.0 ( 2) year3 = 0.0 ( 3) year4 = 0.0 ( 4) year5 = 0.0 ( 5) year6 = 0.0 ( 6) year7 = 0.0 ( 7) year8 = 0.0 ( 8) year9 = 0.0 F( 8, 168) = 1.58 Prob > F = 0.1346 . test month1 month2 month3 month4 month5 month6 month7 month8 month9 month10 m > onth11 ( 1) month1 = 0.0 ( 2) month2 = 0.0 ( 3) month3 = 0.0 ( 4) month4 = 0.0 ( 5) month5 = 0.0 ( 6) month6 = 0.0 ( 7) month7 = 0.0 ( 8) month8 = 0.0 ( 9) month9 = 0.0 (10) month10 = 0.0 (11) month11 = 0.0 F( 11, 168) = 2.26 Prob > F = 0.0137 . test disney fox sony mgm_ua gram orion univers warner paramnt ( 1) disney = 0.0 ( 2) fox = 0.0 ( 3) sony = 0.0 ( 4) mgm_ua = 0.0 ( 5) gram = 0.0 ( 6) orion = 0.0 ( 7) univers = 0.0 ( 8) warner = 0.0 ( 9) paramnt = 0.0 F( 9, 168) = 3.57 Prob > F = 0.0004 . . *------------------------------- . * Regression (6): . * opening weekend box office . * including quality proxies . * clustering on weekend . * traditional methodology . * dramas . *------------------------------- . . reg lwk1cpi ou uu disney fox sony mgm_ua gram orion univers warner paramnt ma > ltin year2-year9 openscr fourday month1-month11 if drama==1, robust cluster(w > eekend) Regression with robust standard errors Number of obs = 198 F( 33, 168) = 22.90 Prob > F = 0.0000 R-squared = 0.7804 Number of clusters (weekend) = 169 Root MSE = .52622 ------------------------------------------------------------------------------ | Robust lwk1cpi | Coef. Std. Err. t P>|t| [95% Conf. Interval] ---------+-------------------------------------------------------------------- ou | .1434897 .1023293 1.402 0.163 -.0585273 .3455067 uu | .143853 .1115394 1.290 0.199 -.0763465 .3640524 disney | .8672581 .2535919 3.420 0.001 .3666207 1.367895 fox | .4434718 .3046079 1.456 0.147 -.1578805 1.044824 sony | .7508233 .2454748 3.059 0.003 .2662106 1.235436 mgm_ua | .8036573 .2769315 2.902 0.004 .2569432 1.350371 gram | .6856977 .3528699 1.943 0.054 -.0109328 1.382328 orion | .258736 .3309216 0.782 0.435 -.3945646 .9120365 univers | 1.137632 .273905 4.153 0.000 .5968932 1.678372 warner | .8436133 .2538492 3.323 0.001 .3424679 1.344759 paramnt | .910434 .2612649 3.485 0.001 .3946487 1.426219 maltin | .2447998 .0833621 2.937 0.004 .0802276 .409372 year2 | .1345744 .1800374 0.747 0.456 -.2208528 .4900016 year3 | .2034592 .2021369 1.007 0.316 -.1955964 .6025149 year4 | .2015059 .1321193 1.525 0.129 -.0593221 .462334 year5 | .3276238 .1582407 2.070 0.040 .0152274 .6400203 year6 | .2031719 .1351808 1.503 0.135 -.0637001 .4700439 year7 | .2922242 .1295005 2.257 0.025 .0365662 .5478823 year8 | .023236 .1385954 0.168 0.867 -.250377 .2968489 year9 | -.063153 .1666123 -0.379 0.705 -.3920766 .2657705 openscr | .0011687 .0000789 14.810 0.000 .0010129 .0013245 fourday | .1456883 .13251 1.099 0.273 -.115911 .4072877 month1 | .1397566 .2716226 0.515 0.608 -.3964767 .67599 month2 | -.1702033 .2256568 -0.754 0.452 -.6156917 .2752851 month3 | -.0231587 .2255358 -0.103 0.918 -.4684081 .4220908 month4 | -.1821257 .2436073 -0.748 0.456 -.6630517 .2988003 month5 | -.4125557 .2292082 -1.800 0.074 -.8650551 .0399437 month6 | -.392681 .283122 -1.387 0.167 -.9516163 .1662543 month7 | .508198 .2722432 1.867 0.064 -.0292604 1.045656 month8 | -.0646113 .2529512 -0.255 0.799 -.5639839 .4347612 month9 | -.1902888 .2394249 -0.795 0.428 -.6629578 .2823803 month10 | -.1430187 .2478948 -0.577 0.565 -.632409 .3463716 month11 | -.0172989 .2649879 -0.065 0.948 -.540434 .5058362 _cons | 12.10157 .358011 33.802 0.000 11.39479 12.80835 ------------------------------------------------------------------------------ . . test year2 year3 year4 year5 year6 year7 year8 year9 ( 1) year2 = 0.0 ( 2) year3 = 0.0 ( 3) year4 = 0.0 ( 4) year5 = 0.0 ( 5) year6 = 0.0 ( 6) year7 = 0.0 ( 7) year8 = 0.0 ( 8) year9 = 0.0 F( 8, 168) = 1.35 Prob > F = 0.2218 . test month1 month2 month3 month4 month5 month6 month7 month8 month9 month10 m > onth11 ( 1) month1 = 0.0 ( 2) month2 = 0.0 ( 3) month3 = 0.0 ( 4) month4 = 0.0 ( 5) month5 = 0.0 ( 6) month6 = 0.0 ( 7) month7 = 0.0 ( 8) month8 = 0.0 ( 9) month9 = 0.0 (10) month10 = 0.0 (11) month11 = 0.0 F( 11, 168) = 2.68 Prob > F = 0.0034 . test disney fox sony mgm_ua gram orion univers warner paramnt ( 1) disney = 0.0 ( 2) fox = 0.0 ( 3) sony = 0.0 ( 4) mgm_ua = 0.0 ( 5) gram = 0.0 ( 6) orion = 0.0 ( 7) univers = 0.0 ( 8) warner = 0.0 ( 9) paramnt = 0.0 F( 9, 168) = 3.11 Prob > F = 0.0017 . . . end of do-file . exit, clear