-------------------------------------------------------------------------------------------------------------------------- log: D:\research\pripiski\dataset\tobits.log log type: text opened on: 3 Dec 2010, 14:35:34 . . /*PART ONE. Dependent variable is AVEJAIL.*/ . /*The average jail term is bounded below at zero.*/ . . /*Network size; control for sector, and space (political or social value).*/ . . tobit avejail accused ag lndistance russia, ll vce(robust) Tobit regression Number of obs = 50 F( 4, 46) = 1.73 Prob > F = 0.1594 Log pseudolikelihood = -104.72378 Pseudo R2 = 0.0351 ------------------------------------------------------------------------------ | Robust avejail | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- accused | .3371792 .2962363 1.14 0.261 -.2591135 .933472 ag | -.2117667 .8155895 -0.26 0.796 -1.853463 1.42993 lndistance | 1.016392 .6730181 1.51 0.138 -.3383229 2.371107 russia | -1.027736 .9843211 -1.04 0.302 -3.009072 .9535996 _cons | -5.029376 5.190052 -0.97 0.338 -15.47641 5.417656 -------------+---------------------------------------------------------------- /sigma | 2.545105 .3947116 1.750592 3.339619 ------------------------------------------------------------------------------ Obs. summary: 9 left-censored observations at avejail<=0 41 uncensored observations 0 right-censored observations . outreg2 using avejail, replace word avejail.rtf dir : seeout . . tobit avejail accused ag lndistance, ll vce(robust) Tobit regression Number of obs = 50 F( 3, 47) = 1.81 Prob > F = 0.1586 Log pseudolikelihood = -105.18813 Pseudo R2 = 0.0308 ------------------------------------------------------------------------------ | Robust avejail | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- accused | .2341154 .2877156 0.81 0.420 -.3446937 .8129245 ag | .2436817 .7723378 0.32 0.754 -1.310061 1.797425 lndistance | 1.320593 .6189783 2.13 0.038 .0753696 2.565817 _cons | -7.760913 4.599348 -1.69 0.098 -17.01361 1.491782 -------------+---------------------------------------------------------------- /sigma | 2.565711 .3947795 1.771517 3.359905 ------------------------------------------------------------------------------ Obs. summary: 9 left-censored observations at avejail<=0 41 uncensored observations 0 right-censored observations . outreg2 using avejail, append word avejail.rtf dir : seeout . . tobit avejail accused ag russia, ll vce(robust) Tobit regression Number of obs = 50 F( 3, 47) = 1.68 Prob > F = 0.1833 Log pseudolikelihood = -106.02543 Pseudo R2 = 0.0231 ------------------------------------------------------------------------------ | Robust avejail | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- accused | .3884703 .3125446 1.24 0.220 -.2402884 1.017229 ag | -.332162 .9108562 -0.36 0.717 -2.164568 1.500244 russia | -1.893228 .9645967 -1.96 0.056 -3.833746 .0472906 _cons | 2.736396 .9760917 2.80 0.007 .7727531 4.700039 -------------+---------------------------------------------------------------- /sigma | 2.600054 .4081928 1.778876 3.421231 ------------------------------------------------------------------------------ Obs. summary: 9 left-censored observations at avejail<=0 41 uncensored observations 0 right-censored observations . outreg2 using avejail, append word avejail.rtf dir : seeout . . tobit avejail accused lndistance, ll vce(robust) Tobit regression Number of obs = 50 F( 2, 48) = 2.62 Prob > F = 0.0829 Log pseudolikelihood = -105.2387 Pseudo R2 = 0.0303 ------------------------------------------------------------------------------ | Robust avejail | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- accused | .2343266 .2897621 0.81 0.423 -.3482791 .8169323 lndistance | 1.36393 .6047189 2.26 0.029 .1480609 2.579799 _cons | -7.954401 4.586102 -1.73 0.089 -17.17538 1.266576 -------------+---------------------------------------------------------------- /sigma | 2.568265 .3946161 1.774836 3.361693 ------------------------------------------------------------------------------ Obs. summary: 9 left-censored observations at avejail<=0 41 uncensored observations 0 right-censored observations . outreg2 using avejail, append word avejail.rtf dir : seeout . . tobit avejail accused russia, ll vce(robust) Tobit regression Number of obs = 50 F( 2, 48) = 2.39 Prob > F = 0.1027 Log pseudolikelihood = -106.0927 Pseudo R2 = 0.0225 ------------------------------------------------------------------------------ | Robust avejail | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- accused | .3670551 .3216466 1.14 0.259 -.2796588 1.013769 russia | -1.701518 .8098321 -2.10 0.041 -3.329794 -.073241 _cons | 2.519833 .6453597 3.90 0.000 1.222251 3.817416 -------------+---------------------------------------------------------------- /sigma | 2.602866 .4094936 1.779524 3.426208 ------------------------------------------------------------------------------ Obs. summary: 9 left-censored observations at avejail<=0 41 uncensored observations 0 right-censored observations . outreg2 using avejail, append word avejail.rtf dir : seeout . . /*Control for scale of deception (value of the offense).*/ . /*Add xplan xplanmiss xloss xlossmiss xgain xgainmiss.*/ . . tobit avejail accused ag lndistance russia xplan xplanmiss xloss xlossmiss xgain xgainmiss, ll vce(robust) Tobit regression Number of obs = 50 F( 10, 40) = 2.02 Prob > F = 0.0572 Log pseudolikelihood = -97.287407 Pseudo R2 = 0.1036 ------------------------------------------------------------------------------ | Robust avejail | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- accused | .5883445 .25559 2.30 0.027 .0717777 1.104911 ag | .8739263 .6758125 1.29 0.203 -.4919417 2.239794 lndistance | 1.325227 .6760181 1.96 0.057 -.0410562 2.691511 russia | -.4739851 1.036313 -0.46 0.650 -2.568453 1.620482 xplan | .0919424 .0433616 2.12 0.040 .0043052 .1795795 xplanmiss | 2.186598 .9776094 2.24 0.031 .210776 4.16242 xloss | .0262368 .0171883 1.53 0.135 -.008502 .0609756 xlossmiss | -.9294873 .7119595 -1.31 0.199 -2.368411 .5094365 xgain | -.0670464 .1052401 -0.64 0.528 -.2797447 .1456518 xgainmiss | -1.662476 1.107026 -1.50 0.141 -3.899858 .5749062 _cons | -9.108967 5.637455 -1.62 0.114 -20.50269 2.284755 -------------+---------------------------------------------------------------- /sigma | 2.13818 .3059362 1.51986 2.7565 ------------------------------------------------------------------------------ Obs. summary: 9 left-censored observations at avejail<=0 41 uncensored observations 0 right-censored observations . outreg2 using avejail, append word avejail.rtf dir : seeout . . tobit avejail accused lndistance russia xplan xplanmiss xloss xlossmiss xgain xgainmiss, ll vce(robust) Tobit regression Number of obs = 50 F( 9, 41) = 2.19 Prob > F = 0.0425 Log pseudolikelihood = -97.813691 Pseudo R2 = 0.0987 ------------------------------------------------------------------------------ | Robust avejail | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- accused | .6508318 .2820671 2.31 0.026 .0811858 1.220478 lndistance | 1.291574 .6815935 1.89 0.065 -.0849321 2.66808 russia | -1.006609 1.02649 -0.98 0.333 -3.079649 1.066431 xplan | .0908356 .0409146 2.22 0.032 .008207 .1734642 xplanmiss | 2.122944 .9633521 2.20 0.033 .1774147 4.068473 xloss | .0236515 .0171872 1.38 0.176 -.0110588 .0583618 xlossmiss | -.8654206 .7224464 -1.20 0.238 -2.324431 .5935894 xgain | -.0662382 .104857 -0.63 0.531 -.2780013 .1455249 xgainmiss | -1.316166 1.089386 -1.21 0.234 -3.516226 .8838934 _cons | -8.509694 5.685807 -1.50 0.142 -19.99241 2.973027 -------------+---------------------------------------------------------------- /sigma | 2.166755 .3163705 1.527832 2.805679 ------------------------------------------------------------------------------ Obs. summary: 9 left-censored observations at avejail<=0 41 uncensored observations 0 right-censored observations . outreg2 using avejail, append word avejail.rtf dir : seeout . . /*Compute marginal effects for Table 6, column 1.*/ . . mfx compute, predict (e(0,10)) Marginal effects after tobit y = E(avejail|0|z| [ 95% C.I. ] X ---------+-------------------------------------------------------------------- accused | .4324025 .18502 2.34 0.019 .069778 .795027 2.08 lndist~e | .8581015 .42185 2.03 0.042 .031292 1.68491 7.25244 russia*| -.6682356 .68831 -0.97 0.332 -2.0173 .680831 .5 xplan | .0603498 .02696 2.24 0.025 .007517 .113183 3.15238 xplanm~s*| 1.232339 .50309 2.45 0.014 .246302 2.21838 .8 xloss | .0157137 .01214 1.29 0.195 -.008073 .039501 15.3913 xlossm~s*| -.5765747 .47993 -1.20 0.230 -1.51721 .364065 .52 xgain | -.0440076 .06946 -0.63 0.526 -.180141 .092126 2.0289 xgainm~s*| -.9341181 .84875 -1.10 0.271 -2.59764 .729408 .78 ------------------------------------------------------------------------------ (*) dy/dx is for discrete change of dummy variable from 0 to 1 . . tobit avejail accused lndistance xplan xplanmiss xloss xlossmiss xgain xgainmiss, ll vce(robust) Tobit regression Number of obs = 50 F( 8, 42) = 2.30 Prob > F = 0.0381 Log pseudolikelihood = -98.524692 Pseudo R2 = 0.0922 ------------------------------------------------------------------------------ | Robust avejail | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- accused | .5351889 .2837327 1.89 0.066 -.0374069 1.107785 lndistance | 1.612507 .5479176 2.94 0.005 .5067648 2.71825 xplan | .0879681 .036836 2.39 0.022 .0136301 .162306 xplanmiss | 1.709146 .8548089 2.00 0.052 -.0159284 3.43422 xloss | .0218807 .0156374 1.40 0.169 -.0096768 .0534382 xlossmiss | -.9328699 .7522514 -1.24 0.222 -2.450975 .5852349 xgain | -.0862453 .1164164 -0.74 0.463 -.3211832 .1486925 xgainmiss | -1.510697 1.190594 -1.27 0.211 -3.913413 .8920192 _cons | -10.49987 4.810026 -2.18 0.035 -20.20689 -.7928435 -------------+---------------------------------------------------------------- /sigma | 2.193212 .3210215 1.545365 2.84106 ------------------------------------------------------------------------------ Obs. summary: 9 left-censored observations at avejail<=0 41 uncensored observations 0 right-censored observations . outreg2 using avejail, append word avejail.rtf dir : seeout . . /*Compute marginal effects for Table 6, column 2.*/ . . mfx compute, predict (e(0,10)) Marginal effects after tobit y = E(avejail|0|z| [ 95% C.I. ] X ---------+-------------------------------------------------------------------- accused | .3535523 .18546 1.91 0.057 -.009934 .717038 2.08 lndist~e | 1.065242 .32922 3.24 0.001 .419977 1.71051 7.25244 xplan | .0581128 .02412 2.41 0.016 .010833 .105393 3.15238 xplanm~s*| 1.014751 .46357 2.19 0.029 .106169 1.92333 .8 xloss | .0144547 .01093 1.32 0.186 -.00696 .03587 15.3913 xlossm~s*| -.6180646 .49323 -1.25 0.210 -1.58478 .348653 .52 xgain | -.0569747 .07652 -0.74 0.457 -.206942 .092992 2.0289 xgainm~s*| -1.074307 .91845 -1.17 0.242 -2.87443 .725821 .78 ------------------------------------------------------------------------------ (*) dy/dx is for discrete change of dummy variable from 0 to 1 . . tobit avejail accused russia xplan xplanmiss xloss xlossmiss xgain xgainmiss, ll vce(robust) Tobit regression Number of obs = 50 F( 8, 42) = 1.55 Prob > F = 0.1686 Log pseudolikelihood = -100.43248 Pseudo R2 = 0.0746 ------------------------------------------------------------------------------ | Robust avejail | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- accused | .6490393 .3286699 1.97 0.055 -.0142435 1.312322 russia | -1.962959 .851149 -2.31 0.026 -3.680647 -.2452709 xplan | .0711763 .0516015 1.38 0.175 -.0329597 .1753123 xplanmiss | 1.72374 1.125324 1.53 0.133 -.5472561 3.994735 xloss | .0200194 .0196069 1.02 0.313 -.0195489 .0595876 xlossmiss | -1.108938 .7405001 -1.50 0.142 -2.603328 .3854517 xgain | -.0354593 .0690177 -0.51 0.610 -.1747427 .1038242 xgainmiss | -1.279996 1.183167 -1.08 0.285 -3.667724 1.107732 _cons | 1.813997 1.50983 1.20 0.236 -1.232964 4.860958 -------------+---------------------------------------------------------------- /sigma | 2.282933 .3667027 1.542897 3.022969 ------------------------------------------------------------------------------ Obs. summary: 9 left-censored observations at avejail<=0 41 uncensored observations 0 right-censored observations . outreg2 using avejail, append word avejail.rtf dir : seeout . . /*Compute marginal effects for Table 6, column 3.*/ . . mfx compute, predict (e(0,10)) Marginal effects after tobit y = E(avejail|0|z| [ 95% C.I. ] X ---------+-------------------------------------------------------------------- accused | .4187972 .21476 1.95 0.051 -.002134 .839728 2.08 russia*| -1.262855 .55897 -2.26 0.024 -2.35843 -.167284 .5 xplan | .045927 .03423 1.34 0.180 -.021159 .113013 3.15238 xplanm~s*| 1.002142 .63161 1.59 0.113 -.235782 2.24007 .8 xloss | .0129176 .01342 0.96 0.336 -.013389 .039225 15.3913 xlossm~s*| -.7178534 .472 -1.52 0.128 -1.64295 .207246 .52 xgain | -.0228803 .0451 -0.51 0.612 -.111271 .06551 2.0289 xgainm~s*| -.8787427 .90631 -0.97 0.332 -2.65509 .897601 .78 ------------------------------------------------------------------------------ (*) dy/dx is for discrete change of dummy variable from 0 to 1 . . /*PART TWO. Dependent variable is MAXJAIL.*/ . /*The maximum jail term is bounded below at zero and above at 10.*/ . . /*Network size; control for sector and space (political or social value).*/ . . tobit maxjail accused ag lndistance russia, ll ul vce(robust) Tobit regression Number of obs = 58 F( 4, 54) = 7.57 Prob > F = 0.0001 Log pseudolikelihood = -118.69371 Pseudo R2 = 0.1312 ------------------------------------------------------------------------------ | Robust maxjail | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- accused | 1.973566 .373015 5.29 0.000 1.225716 2.721416 ag | -.7745119 1.311487 -0.59 0.557 -3.403885 1.854861 lndistance | -.1052084 .5510165 -0.19 0.849 -1.20993 .9995132 russia | -3.270039 1.368256 -2.39 0.020 -6.013228 -.5268497 _cons | 2.09413 4.26988 0.49 0.626 -6.466464 10.65472 -------------+---------------------------------------------------------------- /sigma | 3.544625 .5256222 2.490816 4.598434 ------------------------------------------------------------------------------ Obs. summary: 9 left-censored observations at maxjail<=0 38 uncensored observations 11 right-censored observations at maxjail>=10 . outreg2 using maxjail, replace word maxjail.rtf dir : seeout . . tobit maxjail accused ag lndistance, ll ul vce(robust) Tobit regression Number of obs = 58 F( 3, 55) = 7.65 Prob > F = 0.0002 Log pseudolikelihood = -121.61986 Pseudo R2 = 0.1097 ------------------------------------------------------------------------------ | Robust maxjail | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- accused | 1.82207 .3807395 4.79 0.000 1.059051 2.585089 ag | .7995616 1.164309 0.69 0.495 -1.533765 3.132888 lndistance | .3041085 .6782195 0.45 0.656 -1.055074 1.663291 _cons | -2.882383 4.939875 -0.58 0.562 -12.78211 7.017346 -------------+---------------------------------------------------------------- /sigma | 3.714928 .5778145 2.556962 4.872895 ------------------------------------------------------------------------------ Obs. summary: 9 left-censored observations at maxjail<=0 38 uncensored observations 11 right-censored observations at maxjail>=10 . outreg2 using maxjail, append word maxjail.rtf dir : seeout . . tobit maxjail accused ag russia, ll ul vce(robust) Tobit regression Number of obs = 58 F( 3, 55) = 9.91 Prob > F = 0.0000 Log pseudolikelihood = -118.71319 Pseudo R2 = 0.1310 ------------------------------------------------------------------------------ | Robust maxjail | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- accused | 1.988506 .3736859 5.32 0.000 1.239623 2.737389 ag | -.7823929 1.29226 -0.61 0.547 -3.372139 1.807354 russia | -3.185492 1.372721 -2.32 0.024 -5.936485 -.4344981 _cons | 1.268141 1.324173 0.96 0.342 -1.385561 3.921844 -------------+---------------------------------------------------------------- /sigma | 3.54463 .5240528 2.494405 4.594855 ------------------------------------------------------------------------------ Obs. summary: 9 left-censored observations at maxjail<=0 38 uncensored observations 11 right-censored observations at maxjail>=10 . outreg2 using maxjail, append word maxjail.rtf dir : seeout . . tobit maxjail accused lndistance, ll ul vce(robust) Tobit regression Number of obs = 58 F( 2, 56) = 11.01 Prob > F = 0.0001 Log pseudolikelihood = -121.8968 Pseudo R2 = 0.1077 ------------------------------------------------------------------------------ | Robust maxjail | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- accused | 1.818173 .3886611 4.68 0.000 1.039592 2.596755 lndistance | .3973132 .6466617 0.61 0.541 -.8981059 1.692732 _cons | -3.14578 4.951966 -0.64 0.528 -13.06576 6.7742 -------------+---------------------------------------------------------------- /sigma | 3.735562 .5746363 2.584427 4.886697 ------------------------------------------------------------------------------ Obs. summary: 9 left-censored observations at maxjail<=0 38 uncensored observations 11 right-censored observations at maxjail>=10 . outreg2 using maxjail, append word maxjail.rtf dir : seeout . . tobit maxjail accused russia, ll ul vce(robust) Tobit regression Number of obs = 58 F( 2, 56) = 13.86 Prob > F = 0.0000 Log pseudolikelihood = -118.92182 Pseudo R2 = 0.1295 ------------------------------------------------------------------------------ | Robust maxjail | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- accused | 1.971908 .3785599 5.21 0.000 1.213561 2.730255 russia | -2.723533 1.092708 -2.49 0.016 -4.91249 -.5345766 _cons | .6938794 .7544123 0.92 0.362 -.81739 2.205149 -------------+---------------------------------------------------------------- /sigma | 3.553449 .5329441 2.485834 4.621064 ------------------------------------------------------------------------------ Obs. summary: 9 left-censored observations at maxjail<=0 38 uncensored observations 11 right-censored observations at maxjail>=10 . outreg2 using maxjail, append word maxjail.rtf dir : seeout . . /*Control for scale of deception (value of the offense).*/ . /*Add xplan xplanmiss xloss xlossmiss xgain xgainmiss.*/ . . tobit maxjail accused ag lndistance russia xplan xplanmiss xloss xlossmiss xgain xgainmiss, ll ul vce(robust) Tobit regression Number of obs = 58 F( 10, 48) = 5.92 Prob > F = 0.0000 Log pseudolikelihood = -107.81789 Pseudo R2 = 0.2108 ------------------------------------------------------------------------------ | Robust maxjail | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- accused | 1.62219 .3900002 4.16 0.000 .8380417 2.406338 ag | .9495684 .9939222 0.96 0.344 -1.048846 2.947983 lndistance | .0774204 .5511038 0.14 0.889 -1.030648 1.185489 russia | -2.356782 1.15427 -2.04 0.047 -4.677597 -.0359673 xplan | .0952176 .0673303 1.41 0.164 -.0401589 .2305942 xplanmiss | 2.762881 1.358072 2.03 0.047 .0322956 5.493467 xloss | .0238923 .0215189 1.11 0.272 -.0193744 .067159 xlossmiss | -1.889532 .9067034 -2.08 0.043 -3.712581 -.0664828 xgain | .1177142 .0710102 1.66 0.104 -.0250614 .2604899 xgainmiss | -.959372 1.405269 -0.68 0.498 -3.784854 1.86611 _cons | -1.444276 5.045397 -0.29 0.776 -11.58873 8.700173 -------------+---------------------------------------------------------------- /sigma | 2.8837 .439369 2.000289 3.76711 ------------------------------------------------------------------------------ Obs. summary: 9 left-censored observations at maxjail<=0 38 uncensored observations 11 right-censored observations at maxjail>=10 . outreg2 using maxjail, append word maxjail.rtf dir : seeout . . tobit maxjail accused lndistance russia xplan xplanmiss xloss xlossmiss xgain xgainmiss, ll ul vce(robust) Tobit regression Number of obs = 58 F( 9, 49) = 6.56 Prob > F = 0.0000 Log pseudolikelihood = -108.17355 Pseudo R2 = 0.2082 ------------------------------------------------------------------------------ | Robust maxjail | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- accused | 1.683253 .4181508 4.03 0.000 .8429478 2.523559 lndistance | .0834361 .5523887 0.15 0.881 -1.026631 1.193503 russia | -2.918759 1.102028 -2.65 0.011 -5.133366 -.704151 xplan | .0946769 .064181 1.48 0.147 -.0342996 .2236534 xplanmiss | 2.712919 1.339805 2.02 0.048 .0204796 5.405358 xloss | .0216951 .0205693 1.05 0.297 -.0196404 .0630306 xlossmiss | -1.81033 .922413 -1.96 0.055 -3.663988 .0433285 xgain | .1200561 .0707095 1.70 0.096 -.0220399 .2621521 xgainmiss | -.5584447 1.423335 -0.39 0.697 -3.418744 2.301855 _cons | -1.150482 5.130092 -0.22 0.823 -11.45979 9.158823 -------------+---------------------------------------------------------------- /sigma | 2.908585 .4394209 2.025536 3.791635 ------------------------------------------------------------------------------ Obs. summary: 9 left-censored observations at maxjail<=0 38 uncensored observations 11 right-censored observations at maxjail>=10 . outreg2 using maxjail, append word maxjail.rtf dir : seeout . . /*Compute marginal effects for Table 6, column 4.*/ . . mfx compute, predict (e(0,10)) Marginal effects after tobit y = E(maxjail|0|z| [ 95% C.I. ] X ---------+-------------------------------------------------------------------- accused | 1.105754 .29591 3.74 0.000 .525783 1.68572 2.7069 lndist~e | .0548104 .36042 0.15 0.879 -.651609 .76123 7.09582 russia*| -1.87865 .72589 -2.59 0.010 -3.30137 -.455935 .517241 xplan | .0621946 .04206 1.48 0.139 -.020246 .144635 2.71757 xplanm~s*| 1.695404 .84092 2.02 0.044 .047237 3.34357 .827586 xloss | .0142518 .01423 1.00 0.317 -.013636 .04214 20.0782 xlossm~s*| -1.179589 .57184 -2.06 0.039 -2.30038 -.0588 .5 xgain | .0788666 .04345 1.82 0.069 -.00629 .164023 5.45072 xgainm~s*| -.3668869 .9503 -0.39 0.699 -2.22943 1.49566 .672414 ------------------------------------------------------------------------------ (*) dy/dx is for discrete change of dummy variable from 0 to 1 . . tobit maxjail accused lndistance xplan xplanmiss xloss xlossmiss xgain xgainmiss, ll ul vce(robust) Tobit regression Number of obs = 58 F( 8, 50) = 5.60 Prob > F = 0.0000 Log pseudolikelihood = -112.16256 Pseudo R2 = 0.1790 ------------------------------------------------------------------------------ | Robust maxjail | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- accused | 1.433197 .4270258 3.36 0.002 .57549 2.290903 lndistance | .4484247 .6498592 0.69 0.493 -.8568558 1.753705 xplan | .0825072 .0573174 1.44 0.156 -.0326182 .1976325 xplanmiss | 1.303732 1.333147 0.98 0.333 -1.373971 3.981436 xloss | .0158605 .0160347 0.99 0.327 -.0163461 .048067 xlossmiss | -2.2524 1.037636 -2.17 0.035 -4.336554 -.1682465 xgain | .1269132 .0787841 1.61 0.113 -.0313292 .2851557 xgainmiss | -.9034363 1.490797 -0.61 0.547 -3.89779 2.090917 _cons | -2.905005 5.937245 -0.49 0.627 -14.83031 9.020303 -------------+---------------------------------------------------------------- /sigma | 3.111527 .4588184 2.189963 4.03309 ------------------------------------------------------------------------------ Obs. summary: 9 left-censored observations at maxjail<=0 38 uncensored observations 11 right-censored observations at maxjail>=10 . outreg2 using maxjail, append word maxjail.rtf dir : seeout . . /*Compute marginal effects for Table 6, column 5.*/ . . mfx compute, predict (e(0,10)) Marginal effects after tobit y = E(maxjail|0|z| [ 95% C.I. ] X ---------+-------------------------------------------------------------------- accused | .8651478 .27567 3.14 0.002 .324847 1.40545 2.7069 lndist~e | .2706912 .39125 0.69 0.489 -.496151 1.03753 7.09582 xplan | .0498054 .03505 1.42 0.155 -.0189 .118511 2.71757 xplanm~s*| .7760561 .79752 0.97 0.331 -.787057 2.33917 .827586 xloss | .0095742 .01012 0.95 0.344 -.01027 .029419 20.0782 xlossm~s*| -1.345104 .56986 -2.36 0.018 -2.462 -.228206 .5 xgain | .0766111 .04781 1.60 0.109 -.017095 .170317 5.45072 xgainm~s*| -.5452182 .89058 -0.61 0.540 -2.29072 1.20028 .672414 ------------------------------------------------------------------------------ (*) dy/dx is for discrete change of dummy variable from 0 to 1 . . tobit maxjail accused russia xplan xplanmiss xloss xlossmiss xgain xgainmiss, ll ul vce(robust) Tobit regression Number of obs = 58 F( 8, 50) = 7.69 Prob > F = 0.0000 Log pseudolikelihood = -108.19158 Pseudo R2 = 0.2080 ------------------------------------------------------------------------------ | Robust maxjail | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- accused | 1.66533 .4135109 4.03 0.000 .8347694 2.495891 russia | -2.974272 .9964157 -2.98 0.004 -4.975632 -.9729122 xplan | .092604 .0643218 1.44 0.156 -.0365901 .2217981 xplanmiss | 2.655974 1.388705 1.91 0.062 -.1333215 5.445269 xloss | .021405 .0207965 1.03 0.308 -.0203659 .0631759 xlossmiss | -1.831328 .9203223 -1.99 0.052 -3.67985 .017194 xgain | .1205802 .0709556 1.70 0.095 -.0219384 .2630988 xgainmiss | -.5514934 1.442791 -0.38 0.704 -3.449424 2.346438 _cons | -.4247281 2.059611 -0.21 0.837 -4.561578 3.712122 -------------+---------------------------------------------------------------- /sigma | 2.910342 .4442952 2.017949 3.802736 ------------------------------------------------------------------------------ Obs. summary: 9 left-censored observations at maxjail<=0 38 uncensored observations 11 right-censored observations at maxjail>=10 . outreg2 using maxjail, append word maxjail.rtf dir : seeout . . /*Compute marginal effects for Table 6, column 6.*/ . . mfx compute, predict (e(0,10)) Marginal effects after tobit y = E(maxjail|0|z| [ 95% C.I. ] X ---------+-------------------------------------------------------------------- accused | 1.093124 .30828 3.55 0.000 .488911 1.69734 2.7069 russia*| -1.911483 .63969 -2.99 0.003 -3.16525 -.657711 .517241 xplan | .0607853 .04279 1.42 0.155 -.023073 .144643 2.71757 xplanm~s*| 1.661135 .89112 1.86 0.062 -.085423 3.40769 .827586 xloss | .0140503 .01443 0.97 0.330 -.01423 .042331 20.0782 xlossm~s*| -1.192128 .56147 -2.12 0.034 -2.29258 -.091672 .5 xgain | .0791489 .04323 1.83 0.067 -.005587 .163885 5.45072 xgainm~s*| -.3620513 .96328 -0.38 0.707 -2.25004 1.52594 .672414 ------------------------------------------------------------------------------ (*) dy/dx is for discrete change of dummy variable from 0 to 1 . . end of do-file . exit, clear