1 0.61657 -0.60836 0.38961 1.39386 -1.98381 2 -0.17162 0.07655 0.14793 1.53193 -0.89027 3 -0.60068 -1.42778 -1.01957 -1.75495 0.24582 4 -0.61308 -0.94654 0.38253 -0.32638 -2.99483 5 -1.97211 0.08232 -1.47061 0.74388 -1.49692 6 0.40974 0.12253 -1.01778 1.22418 -0.48589 7 -0.67661 0.12961 -1.10702 -0.24110 -0.44032 8 0.40014 1.30627 -2.27338 0.46523 -0.29131 9 1.10614 0.00690 0.88934 -0.31665 -1.79154 10 0.67156 1.08566 -1.27220 -0.90554 -1.12819 11 0.04878 0.58713 0.73125 -2.03808 -0.14053 12 -1.80166 0.72790 -2.14651 -0.35620 2.11024 13 -0.41376 -0.54954 -0.45859 -0.17630 -0.53162 14 -1.00634 -0.43050 -1.19888 0.98323 2.09887 15 -1.04043 -0.05724 -0.18569 0.42276 -1.33741 16 -0.20571 0.36301 -1.59953 -1.42299 -1.25698 17 -2.13583 -2.89472 1.55622 -0.97063 1.20643 18 -0.82938 -0.35864 0.71876 1.70603 0.15026 19 1.00522 -0.38142 2.01420 0.71868 -0.83129 20 0.19986 1.17891 0.73491 0.73206 0.79019 21 -0.99127 -0.99359 -0.47036 0.19759 -0.28403 22 2.84899 1.55240 1.72338 -0.78950 0.32137 23 -0.24346 0.26316 -3.66471 -0.73212 0.75344 24 0.09171 0.07099 1.09817 0.54565 1.94507 25 -0.95986 -0.76643 -0.16900 -0.20643 -0.69458 26 1.44172 -0.39611 0.87617 0.96968 -0.61454 27 -0.23000 -1.49097 0.20079 1.71943 -0.82680 28 -1.29308 0.70863 -2.21874 0.55164 -0.19904 29 1.52004 -0.47325 1.79479 0.25965 0.38764 30 -1.53367 1.21031 -3.04640 0.13548 0.06442 31 -1.08600 -0.15823 0.09053 -0.12245 -1.06447 32 -0.15978 0.51195 -0.68828 -0.57801 -0.06687 33 -0.74182 -0.42847 0.22308 -1.18544 -1.20252 34 1.11606 -1.80075 2.99034 -0.65716 -1.91169 35 -0.48744 0.23215 -0.34386 0.20743 1.33855 36 -0.10155 -2.52962 2.05993 -0.25527 -0.86315 37 0.18234 -0.32306 3.33291 -0.48315 0.20373 38 0.91192 -0.63446 0.56236 -1.61935 -0.32723 39 -1.51949 -0.37270 -1.47237 0.53672 -0.46093 40 -1.16894 -0.97906 -0.10299 -0.64250 2.13864 Column 1 is the observation number. Column 2 is the regressor x_1 Column 3 is the regressor x_2 Column 4 is the regressor z_2 Column 5 is the regressor z_3 Column 6 is the regressor z_4 These are artificial data where x_1, x_2, z_3, and z_4 are independent drawings from the standard normal distribution, and z_2 = x_1-x_2 plus another vector of independent standard normal drawings. 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.