Actual StataMP numerical output. Log header and machine paths omitted. . * BEGIN calendar . regress logacc trend i.month Source | SS df MS Number of obs = 108 -------------+---------------------------------- F(12, 95) = 31.06 Model | 1.00244066 12 .083536722 Prob > F = 0.0000 Residual | .255496381 95 .002689436 R-squared = 0.7969 -------------+---------------------------------- Adj R-squared = 0.7712 Total | 1.25793704 107 .011756421 Root MSE = .05186 ------------------------------------------------------------------------------ logacc | Coefficient Std. err. t P>|t| [95% conf. interval] -------------+---------------------------------------------------------------- trend | .0027471 .0001611 17.06 0.000 .0024274 .0030669 | month | 2 | -.0426864 .0244475 -1.75 0.084 -.0912208 .0058479 3 | .0798245 .0244491 3.26 0.002 .031287 .128362 4 | .018485 .0244517 0.76 0.452 -.0300578 .0670277 5 | .0320983 .0244554 1.31 0.193 -.0164518 .0806484 6 | .0201919 .0244602 0.83 0.411 -.0283677 .0687515 7 | .0375825 .024466 1.54 0.128 -.0109887 .0861537 8 | .0539828 .0244729 2.21 0.030 .0053979 .1025677 9 | .0423611 .0244809 1.73 0.087 -.0062395 .0909618 10 | .0821134 .0244899 3.35 0.001 .0334949 .1307319 11 | .0712786 .0244999 2.91 0.005 .0226401 .1199171 12 | .0961571 .024511 3.92 0.000 .0474965 .1448177 | _cons | 10.46857 .0190028 550.90 0.000 10.43084 10.50629 ------------------------------------------------------------------------------ . * END calendar . record calendar trend . * BEGIN adjusted . regress logacc trend i.month unem spdlaw beltlaw wkends, vce(robust) Linear regression Number of obs = 108 F(16, 91) = 51.37 Prob > F = 0.0000 R-squared = 0.9101 Root MSE = .03524 ------------------------------------------------------------------------------ | Robust logacc | Coefficient std. err. t P>|t| [95% conf. interval] -------------+---------------------------------------------------------------- trend | .0011011 .0002676 4.12 0.000 .0005696 .0016326 | month | 2 | -.0338346 .021402 -1.58 0.117 -.0763471 .0086779 3 | .076953 .0215727 3.57 0.001 .0341013 .1198046 4 | .0104562 .0189763 0.55 0.583 -.0272378 .0481503 5 | .0237075 .018758 1.26 0.210 -.0135529 .0609679 6 | .0219334 .0200891 1.09 0.278 -.0179711 .0618379 7 | .0499292 .0198585 2.51 0.014 .0104827 .0893756 8 | .0559523 .0193811 2.89 0.005 .0174541 .0944505 9 | .0420694 .0186208 2.26 0.026 .0050814 .0790574 10 | .081717 .0211651 3.86 0.000 .0396752 .1237588 11 | .0768721 .0199737 3.85 0.000 .0371969 .1165474 12 | .0990862 .021658 4.58 0.000 .0560653 .1421072 | unem | -.0212173 .0038238 -5.55 0.000 -.0288128 -.0136218 spdlaw | -.0537593 .0120059 -4.48 0.000 -.0776076 -.029911 beltlaw | .0954526 .0123682 7.72 0.000 .0708847 .1200206 wkends | .0033333 .0039443 0.85 0.400 -.0045016 .0111682 _cons | 10.63986 .0681238 156.18 0.000 10.50454 10.77518 ------------------------------------------------------------------------------ . * END adjusted . record law beltlaw . record unemployment unem . * BEGIN season . testparm i.month ( 1) 2.month = 0 ( 2) 3.month = 0 ( 3) 4.month = 0 ( 4) 5.month = 0 ( 5) 6.month = 0 ( 6) 7.month = 0 ( 7) 8.month = 0 ( 8) 9.month = 0 ( 9) 10.month = 0 (10) 11.month = 0 (11) 12.month = 0 F( 11, 91) = 10.29 Prob > F = 0.0000 . * END season . format month_id %9.0g . export delimited month_id year month totacc logacc trend unem spdlaw beltlaw wkends using "output/ > meeting_09_data.csv", replace (file output/meeting_09_data.csv not found) file output/meeting_09_data.csv saved . . postclose results . use "output/meeting_09_estimates.dta", clear . export delimited using "output/meeting_09_estimates.csv", replace (file output/meeting_09_estimates.csv not found) file output/meeting_09_estimates.csv saved . display "ECO603_MEETING_09_COMPLETE" ECO603_MEETING_09_COMPLETE