1 5.02026504 1.01310195 5.14656883 0.00 0.95263664 1.91055391 2 4.59927163 1.91262889 5.11117597 0.00 0.62956525 1.76033587 3 4.74497650 0.93329269 5.00095146 0.00 0.78776822 1.69068485 4 4.55486610 1.61687864 5.21196589 1.00 0.80662751 1.44889496 5 5.19022384 0.19950277 5.19832992 0.00 1.19734021 1.80253276 6 5.18023847 0.76080787 5.14119943 0.00 1.16454376 1.83536035 7 5.82202606 -0.45302238 4.99170180 0.00 1.67664879 2.55619849 8 5.51096478 0.72647889 5.18750020 1.00 1.35515171 2.32716255 9 5.69851650 0.01760866 5.11098120 0.00 1.44358932 2.52928250 10 5.24096282 0.40398660 4.88545680 0.00 1.14039114 2.11354159 11 5.13911141 0.34098768 4.95483661 0.00 1.04052179 2.14365545 12 4.82198105 0.75802476 4.95911781 1.00 0.91219616 1.86135199 13 4.80552082 1.24247703 4.97301688 0.00 0.82427622 1.70722740 14 5.26802864 0.51167404 5.15789761 0.00 1.14166307 2.15139266 15 5.53104142 0.13775590 5.04347352 0.00 1.32428746 2.34480504 16 4.93661352 0.89209243 5.16535382 1.00 0.95945367 1.98327596 17 4.75832841 0.53799196 5.11488376 0.00 0.62906466 1.67562904 18 4.71837570 1.53012669 5.16690395 0.00 0.61978620 1.73463834 19 4.86487942 1.60455048 5.18682797 0.00 0.72645731 1.86642004 20 5.02301270 0.56065076 5.16418858 1.00 0.99821401 1.96748306 21 5.27218171 0.50528601 5.33499182 0.00 1.08143712 2.07727806 22 5.34895421 0.51518885 5.19224477 0.00 1.11454866 2.33440972 23 5.28617819 0.53194204 5.25574245 0.00 0.99943344 2.20256361 24 5.17824192 1.22212716 5.36460255 1.00 0.89765977 2.30752874 25 5.47330878 0.20493003 5.20057297 0.00 1.24429582 2.32869610 26 5.18591066 0.77561882 5.08302063 0.00 0.93312957 2.06709561 27 5.32966648 0.19617167 5.12773450 0.00 1.14828651 2.14579932 28 5.11284259 0.49976960 5.25092360 1.00 1.10256843 1.99614361 29 5.15655579 1.18949685 5.37552286 0.00 1.04938571 2.11729065 30 4.81981052 1.21177141 5.21217313 0.00 0.72870356 1.82275175 31 4.70173177 1.46788470 5.32127783 0.00 0.54365180 1.67151818 32 4.81074219 0.88440876 5.37289249 1.00 0.63592804 1.98892853 33 5.26160277 0.45148720 5.55758710 0.00 0.91069209 2.18058731 34 4.97861468 1.14482083 5.48887503 0.00 0.74914557 2.05424886 35 4.80992225 1.87042818 5.36581331 0.00 0.72707638 1.70161313 36 5.06567280 -0.05238103 5.56998837 1.00 0.96516272 1.81547064 37 5.33146681 0.54593136 5.42616604 0.00 1.19338626 2.21410277 38 5.53693952 0.61498168 5.56348743 0.00 1.24701715 2.36061964 39 5.60912604 0.97729629 5.73537518 0.00 1.30267850 2.35339695 40 5.38016569 0.30550595 5.77053716 1.00 1.32226940 2.13525047 41 5.18799401 1.91405494 5.73416782 0.00 1.06681676 1.94667565 42 5.36208437 0.47964386 5.86730219 0.00 0.93683063 2.34368951 43 5.19405621 0.99952000 5.83595839 0.00 0.71819824 2.26716593 44 5.03761577 1.43584539 5.92640893 1.00 0.73236760 2.07424553 45 5.11035564 1.23427159 5.90832517 0.00 0.64875232 2.13575715 46 5.44116577 0.32591043 5.91388439 0.00 1.04792423 2.25840331 47 5.45610104 0.83068117 6.08945356 0.00 1.03625950 2.04311105 48 4.94380733 1.25467729 6.07873762 1.00 0.80567843 1.71033660 49 4.96152013 2.25004665 6.07566110 0.00 0.70465402 1.63670426 50 4.92587699 2.32961345 6.02206585 0.00 0.67095629 1.69877355 51 4.83837798 2.26681471 6.06132996 0.00 0.64556680 1.69072865 52 5.00571838 1.45754758 6.09496418 1.00 0.83862244 1.61601185 53 5.24024015 1.29948511 6.09031046 0.00 1.01686977 1.84841856 54 5.10837535 1.55309484 6.29177361 0.00 0.86198564 1.79430417 55 5.21670063 1.45753341 6.23556574 0.00 0.94296085 1.86170039 56 4.98161094 1.47309299 6.31535084 1.00 0.80356235 1.58407273 57 5.27132866 2.17954545 6.45431672 0.00 1.11953781 1.79712149 58 5.64161196 0.33412814 6.33473002 0.00 1.22840439 2.12550243 59 5.62107075 1.03304825 6.31504641 0.00 1.28138446 2.28553439 60 4.93607298 1.08981568 6.20047096 1.00 0.69814028 1.77733656 61 4.65629134 2.73515148 6.18185047 0.00 0.47304270 1.53735149 62 5.08627943 1.50734554 6.34716456 0.00 0.78060898 1.88852775 63 5.66580914 1.07253501 6.40218467 0.00 1.33250631 2.07063110 64 5.51951929 0.95796706 6.41099999 1.00 1.19810427 2.04085925 65 5.33593456 1.20706851 6.33054985 0.00 0.97489737 1.96627232 66 5.28716380 1.09522240 6.28014983 0.00 0.88343559 2.16953825 67 5.29974690 2.27296755 6.35077102 0.00 0.98286006 2.11566997 68 5.15906162 1.50868402 6.39135777 1.00 0.80572704 1.95683897 69 5.28057177 1.77564943 6.56994941 0.00 0.79967670 1.80433162 70 4.88750337 1.84018728 6.49944897 0.00 0.68223537 1.53553635 71 4.95522263 2.01966677 6.46872310 0.00 0.74594924 1.55409541 72 5.11123281 1.62887822 6.49052935 1.00 0.90589379 2.00753751 73 5.34083387 1.59092716 6.44209921 0.00 1.02400422 1.92201519 74 5.14418823 1.51508578 6.33153426 0.00 0.80861626 1.86302980 75 4.98220474 1.84140839 6.39408688 0.00 0.68928486 1.57526680 76 4.86933105 1.65091931 6.26637910 1.00 0.57634530 1.90613947 77 4.99624102 2.00387373 6.28491032 0.00 0.65830222 2.21340119 78 5.22114108 1.76628588 6.49839092 0.00 0.69976693 2.16259305 79 5.19304258 2.44300549 6.48760095 0.00 0.90355202 1.97673996 80 5.29960650 0.81157962 6.55513597 1.00 1.03719014 1.93670348 81 5.61167524 1.58312534 6.70885080 0.00 1.19934631 2.11356305 82 5.21081238 2.31834305 6.85243610 0.00 0.70881137 1.93925879 83 4.72851354 2.87651087 6.76971999 0.00 0.37125449 1.60364468 84 4.39880747 3.34569861 6.82071055 1.00 0.18927986 1.49023975 85 5.41599118 2.00458486 6.85313655 0.00 0.75665908 2.23626799 86 5.42608927 1.46796217 6.73331166 0.00 0.91968790 2.08385804 87 5.08378925 1.85525608 6.74993076 0.00 0.76671929 1.82801191 88 5.06886316 1.81081385 6.66244496 1.00 0.83992917 1.79729789 89 5.29273567 2.24009449 6.82897076 0.00 0.94628609 1.68687877 90 5.68547417 1.23373310 6.84444097 0.00 1.08950967 2.17002406 91 5.55389666 1.77247365 6.92651200 0.00 0.93864434 2.03239309 92 5.60873998 1.57318078 6.92837047 1.00 1.09129669 2.38633768 93 5.66716277 1.48687886 6.96739148 0.00 1.13254170 2.13720647 94 6.00346857 0.36660552 6.89752598 0.00 1.44767663 2.55586084 95 5.66276144 1.74740142 6.92512295 0.00 1.16878113 2.14784612 96 5.34326826 0.83429652 6.93725156 1.00 0.93653579 1.86421780 97 4.98202657 2.48986004 6.95146430 0.00 0.62086895 1.58565920 98 5.13844925 2.37850881 7.01918977 0.00 0.77079206 1.58335371 99 5.05889028 3.11928114 7.25674884 0.00 0.52529051 1.77917911 100 5.00135278 2.28318140 7.10450423 1.00 0.54811734 1.78052654 101 5.05602161 2.78102889 7.13060197 0.00 0.49708121 1.77245101 102 5.03429031 2.79385026 7.13540403 0.00 0.54084749 1.77411875 103 5.34842868 1.83479334 7.11581844 0.00 0.83622764 1.87923376 104 5.63407011 0.81518064 7.06549196 1.00 1.05763941 2.07930913 105 5.55423070 1.08050392 7.16225170 0.00 1.09636968 1.95662933 106 5.85181841 1.10938220 7.31366586 0.00 1.26933536 1.97321943 107 5.61283290 1.43388295 7.26880559 0.00 1.24665738 1.84706825 108 5.44643690 1.38233371 7.24459097 1.00 1.04557342 1.88436128 109 5.55360128 2.11942785 7.35693361 0.00 0.91995693 1.95715641 110 5.31582879 2.42594424 7.38458301 0.00 0.77706385 1.87175395 111 5.39798057 2.28987206 7.42612713 0.00 0.89385768 2.11855844 112 5.28438549 1.94209894 7.36423121 1.00 0.87516029 1.96226726 113 5.63134501 1.57708509 7.49241309 0.00 1.02509783 2.08718211 114 5.64168516 1.52461468 7.40886534 0.00 1.06703315 2.19456629 115 5.84551813 1.79190640 7.58856422 0.00 1.19724671 1.94648932 116 5.53965385 1.75313999 7.75669308 1.00 1.06055849 1.74593243 117 5.76775840 2.03395929 7.77955403 0.00 1.18385901 1.90293952 118 5.82260829 1.71698533 7.74128569 0.00 1.25027977 2.12512469 119 5.80565974 1.37084730 7.81914813 0.00 1.10403437 2.03468312 120 5.49600846 2.42933738 7.71660565 1.00 0.95513360 1.89217448 ; These are artificial data from a demand-supply model. Column 1 is the observation number. Column 2 is the log of quantity. Column 3 is the log of price. Column 4 is X_2. Column 5 is X_3. Column 6 is X_4. Column 7 is X_5. The variables X_2 and X_3 appear only in the demand equation, and the variables X_4 and X_5 appear only in the supply equation. These data are for use with the exercises in the book Russell Davidson and James G. MacKinnon, Econometric Theory and Methods, New York, Oxford University Press, 2004.