Estimate a regression model of the form: Exportsi = + 1Empli + 2Prodi + 3Skilli + 4Capiti +ui where the i subscript corresponds to firm i. Interpret the coefficients that you obtain, and comment on their economic and statistical significance.
Then, Interpret the R^2 statistic from the regression and test whether it is statistically significant.
Empl Prod Skill Capit 1.498 1 3 0.337 1 1 4 8 1 3 1 1 2 1 1 2 2 1 1 4 firm_id 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 Exports 0.237 20.837 0.001 0.222 0.003 0.002 3.792 30.746 0.134 0.038 17.206 0.705 0.001 31.257 34.528 1.406 0.050 0.002 0.001 0.421 1.624 0.001 0.001 0.001 0.002 0.666 0.004 0.043 6.668 0.074 0.001 4.326 0.129 0.007 0.041 0.061 2.791 0.001 13.840 4.349 0.509 8.501 0.304 9.960 2.311 0.404 1.218 1.151 0.146 2.079 0.538 1.786 0.301 0.453 0.423 0.272 4.357 0.514 6.692 0.445 0.855 0.325 0.759 0.497 0.777 1.388 1.095 0.688 2.255 2.763 0.232 1.972 0.678 0.938 1.331 3.424 2.325 1.172 0.250 0.453 0.941 0.826 2.648 2.795 1.028 0.988 3 3 11 2 1 1 1 8 4 1 1 16 2 13 2 1 1 14 1 1 1 2 2 1 12.723 13.566 10.374 13.288 10.338 10.232 14.539 12.686 12.830 12.237 14.127 12.192 11.207 14.443 11.958 12.656 11.623 11.408 10.600 11.773 11.559 11 355 10.578 10.203 11.738 11.321 10.756 11.098 14.728 10.762 10.357 11.740 11.416 10.905 12.263 10.665 12.140 10.040 13.982 12.903 10.933 11.829 11.927 12.265 0.490 3.056 7.012 1.201 0.996 7.037 11.544 7.253 3.589 11.313 4.238 1.796 4.964 12.202 9.412 6.357 3.094 8.361 0.485 8.101 9.870 0.923 0.592 2.882 0.932 9.406 2.973 6.862 14.070 9.283 7.108 7.457 10.936 6.762 9.195 8.410 5.013 2.069 0.973 3.630 1.760 1.060 5.446 2.711 NN 45 46 47 48 49 50 51 52 0.247 2.636 22.422 1.698 0.029 2.105 0.001 41.268 0.015 0.073 0.004 0.001 19.421 0.011 0.661 0.063 1 2 2 3 1 2 2 1 2 1 2 1 1 3 1 1 5 0.582 0.240 0.572 1.070 0.889 3.376 1.919 0.212 2.005 0.353 0.243 1.034 0.573 2.065 4.533 1.496 12.924 13.215 12.744 12.256 11.526 12.643 11.186 14.093 10.344 11.786 12.060 11.048 12.846 10.087 12.008 11.036 7.317 2.018 3.922 4.656 9.386 10.314 9.688 0.835 4.874 5.185 0.619 2.262 10.649 8.199 5.390 3.999 53 54 55 56 57 58 59 60 Empl Prod Skill Capit 1.498 1 3 0.337 1 1 4 8 1 3 1 1 2 1 1 2 2 1 1 4 firm_id 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 Exports 0.237 20.837 0.001 0.222 0.003 0.002 3.792 30.746 0.134 0.038 17.206 0.705 0.001 31.257 34.528 1.406 0.050 0.002 0.001 0.421 1.624 0.001 0.001 0.001 0.002 0.666 0.004 0.043 6.668 0.074 0.001 4.326 0.129 0.007 0.041 0.061 2.791 0.001 13.840 4.349 0.509 8.501 0.304 9.960 2.311 0.404 1.218 1.151 0.146 2.079 0.538 1.786 0.301 0.453 0.423 0.272 4.357 0.514 6.692 0.445 0.855 0.325 0.759 0.497 0.777 1.388 1.095 0.688 2.255 2.763 0.232 1.972 0.678 0.938 1.331 3.424 2.325 1.172 0.250 0.453 0.941 0.826 2.648 2.795 1.028 0.988 3 3 11 2 1 1 1 8 4 1 1 16 2 13 2 1 1 14 1 1 1 2 2 1 12.723 13.566 10.374 13.288 10.338 10.232 14.539 12.686 12.830 12.237 14.127 12.192 11.207 14.443 11.958 12.656 11.623 11.408 10.600 11.773 11.559 11 355 10.578 10.203 11.738 11.321 10.756 11.098 14.728 10.762 10.357 11.740 11.416 10.905 12.263 10.665 12.140 10.040 13.982 12.903 10.933 11.829 11.927 12.265 0.490 3.056 7.012 1.201 0.996 7.037 11.544 7.253 3.589 11.313 4.238 1.796 4.964 12.202 9.412 6.357 3.094 8.361 0.485 8.101 9.870 0.923 0.592 2.882 0.932 9.406 2.973 6.862 14.070 9.283 7.108 7.457 10.936 6.762 9.195 8.410 5.013 2.069 0.973 3.630 1.760 1.060 5.446 2.711 NN 45 46 47 48 49 50 51 52 0.247 2.636 22.422 1.698 0.029 2.105 0.001 41.268 0.015 0.073 0.004 0.001 19.421 0.011 0.661 0.063 1 2 2 3 1 2 2 1 2 1 2 1 1 3 1 1 5 0.582 0.240 0.572 1.070 0.889 3.376 1.919 0.212 2.005 0.353 0.243 1.034 0.573 2.065 4.533 1.496 12.924 13.215 12.744 12.256 11.526 12.643 11.186 14.093 10.344 11.786 12.060 11.048 12.846 10.087 12.008 11.036 7.317 2.018 3.922 4.656 9.386 10.314 9.688 0.835 4.874 5.185 0.619 2.262 10.649 8.199 5.390 3.999 53 54 55 56 57 58 59 60
