----------------------------------------------------------------------------------------------------------------------- name: log: C:\Users\stata10\Desktop\probit_logit.log log type: text opened on: 1 Nov 2022, 16:37:01 . probit approve white Iteration 0: log likelihood = -740.34659 Iteration 1: log likelihood = -701.33221 Iteration 2: log likelihood = -700.87747 Iteration 3: log likelihood = -700.87744 Probit regression Number of obs = 1,989 LR chi2(1) = 78.94 Prob > chi2 = 0.0000 Log likelihood = -700.87744 Pseudo R2 = 0.0533 ------------------------------------------------------------------------------ approve | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- white | .7839465 .0867118 9.04 0.000 .6139946 .9538985 _cons | .5469463 .075435 7.25 0.000 .3990964 .6947962 ------------------------------------------------------------------------------ . predictnl prwhite=normal( .5469463+.7839465 *1) variable prwhite already defined r(110); . sum prwhite Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- prwhite | 1,989 .9083878 0 .9083878 .9083878 . predictnl prnonwhite=normal( .5469463) variable prnonwhite already defined r(110); . sum prnonwhite Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- prnonwhite | 1,989 .7077922 0 .7077922 .7077922 . reg approve white Source | SS df MS Number of obs = 1,989 -------------+---------------------------------- F(1, 1987) = 102.23 Model | 10.4743407 1 10.4743407 Prob > F = 0.0000 Residual | 203.59303 1,987 .102462521 R-squared = 0.0489 -------------+---------------------------------- Adj R-squared = 0.0485 Total | 214.067371 1,988 .107679764 Root MSE = .3201 ------------------------------------------------------------------------------ approve | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- white | .2005957 .01984 10.11 0.000 .1616864 .239505 _cons | .7077922 .0182393 38.81 0.000 .6720221 .7435623 ------------------------------------------------------------------------------ . display .7077922+.2005957 *1 .9083879 . probit approve white hrat obrat loanprc unem male married dep sch cosign chist pubrec mortlat1 mortlat2 vr Iteration 0: log likelihood = -737.97933 Iteration 1: log likelihood = -603.5925 Iteration 2: log likelihood = -600.27774 Iteration 3: log likelihood = -600.27099 Iteration 4: log likelihood = -600.27099 Probit regression Number of obs = 1,971 LR chi2(15) = 275.42 Prob > chi2 = 0.0000 Log likelihood = -600.27099 Pseudo R2 = 0.1866 ------------------------------------------------------------------------------ approve | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- white | .5202525 .0969588 5.37 0.000 .3302168 .7102883 hrat | .0078763 .0069616 1.13 0.258 -.0057682 .0215209 obrat | -.0276924 .0060493 -4.58 0.000 -.0395488 -.015836 loanprc | -1.011969 .2372396 -4.27 0.000 -1.47695 -.5469881 unem | -.0366849 .0174807 -2.10 0.036 -.0709464 -.0024234 male | -.0370014 .1099273 -0.34 0.736 -.2524549 .1784521 married | .2657469 .0942523 2.82 0.005 .0810159 .4504779 dep | -.0495756 .0390573 -1.27 0.204 -.1261266 .0269753 sch | .0146496 .0958421 0.15 0.879 -.1731974 .2024967 cosign | .0860713 .2457509 0.35 0.726 -.3955917 .5677343 chist | .5852812 .0959715 6.10 0.000 .3971805 .7733818 pubrec | -.7787405 .12632 -6.16 0.000 -1.026323 -.5311578 mortlat1 | -.1876237 .2531127 -0.74 0.459 -.6837153 .308468 mortlat2 | -.4943562 .3265563 -1.51 0.130 -1.134395 .1456823 vr | -.2010621 .0814934 -2.47 0.014 -.3607862 -.041338 _cons | 2.062327 .3131763 6.59 0.000 1.448512 2.676141 ------------------------------------------------------------------------------ . logit approve white hrat obrat loanprc unem male married dep sch cosign chist pubrec mortlat1 mortlat2 vr Iteration 0: log likelihood = -737.97933 Iteration 1: log likelihood = -634.97536 Iteration 2: log likelihood = -601.41194 Iteration 3: log likelihood = -600.49724 Iteration 4: log likelihood = -600.49616 Iteration 5: log likelihood = -600.49616 Logistic regression Number of obs = 1,971 LR chi2(15) = 274.97 Prob > chi2 = 0.0000 Log likelihood = -600.49616 Pseudo R2 = 0.1863 ------------------------------------------------------------------------------ approve | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- white | .9377643 .1729043 5.42 0.000 .598878 1.27665 hrat | .0132631 .0128802 1.03 0.303 -.0119816 .0385078 obrat | -.0530338 .0112803 -4.70 0.000 -.0751427 -.0309249 loanprc | -1.904951 .4604433 -4.14 0.000 -2.807404 -1.002499 unem | -.0665789 .0328086 -2.03 0.042 -.1308826 -.0022751 male | -.0663852 .2064292 -0.32 0.748 -.4709789 .3382086 married | .5032817 .1779983 2.83 0.005 .1544114 .852152 dep | -.0907336 .0733342 -1.24 0.216 -.234466 .0529989 sch | .0412287 .1784038 0.23 0.817 -.3084363 .3908938 cosign | .132059 .4460944 0.30 0.767 -.7422699 1.006388 chist | 1.066577 .1712119 6.23 0.000 .7310075 1.402146 pubrec | -1.340665 .2173659 -6.17 0.000 -1.766694 -.9146358 mortlat1 | -.3098821 .46352 -0.67 0.504 -1.218365 .5986004 mortlat2 | -.8946755 .5685814 -1.57 0.116 -2.009075 .2197237 vr | -.3498279 .1537251 -2.28 0.023 -.6511237 -.0485322 _cons | 3.80171 .5947074 6.39 0.000 2.636105 4.967315 ------------------------------------------------------------------------------ . predict pr_logit (option pr assumed; Pr(approve)) (18 missing values generated) . tab white, sum(pr_logit) =1 if | applicant | Summary of Pr(approve) white | Mean Std. Dev. Freq. ------------+------------------------------------ 0 | .7029703 .20643549 303 1 | .90767386 .09830148 1,668 ------------+------------------------------------ Total | .87620497 .14200048 1,971 . probit approve white hrat obrat loanprc unem male married dep sch cosign chist pubrec mortlat1 mortlat2 vr Iteration 0: log likelihood = -737.97933 Iteration 1: log likelihood = -603.5925 Iteration 2: log likelihood = -600.27774 Iteration 3: log likelihood = -600.27099 Iteration 4: log likelihood = -600.27099 Probit regression Number of obs = 1,971 LR chi2(15) = 275.42 Prob > chi2 = 0.0000 Log likelihood = -600.27099 Pseudo R2 = 0.1866 ------------------------------------------------------------------------------ approve | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- white | .5202525 .0969588 5.37 0.000 .3302168 .7102883 hrat | .0078763 .0069616 1.13 0.258 -.0057682 .0215209 obrat | -.0276924 .0060493 -4.58 0.000 -.0395488 -.015836 loanprc | -1.011969 .2372396 -4.27 0.000 -1.47695 -.5469881 unem | -.0366849 .0174807 -2.10 0.036 -.0709464 -.0024234 male | -.0370014 .1099273 -0.34 0.736 -.2524549 .1784521 married | .2657469 .0942523 2.82 0.005 .0810159 .4504779 dep | -.0495756 .0390573 -1.27 0.204 -.1261266 .0269753 sch | .0146496 .0958421 0.15 0.879 -.1731974 .2024967 cosign | .0860713 .2457509 0.35 0.726 -.3955917 .5677343 chist | .5852812 .0959715 6.10 0.000 .3971805 .7733818 pubrec | -.7787405 .12632 -6.16 0.000 -1.026323 -.5311578 mortlat1 | -.1876237 .2531127 -0.74 0.459 -.6837153 .308468 mortlat2 | -.4943562 .3265563 -1.51 0.130 -1.134395 .1456823 vr | -.2010621 .0814934 -2.47 0.014 -.3607862 -.041338 _cons | 2.062327 .3131763 6.59 0.000 1.448512 2.676141 ------------------------------------------------------------------------------ . predict pr_probit (option pr assumed; Pr(approve)) (18 missing values generated) . tab white, sum(pr_probit) =1 if | applicant | Summary of Pr(approve) white | Mean Std. Dev. Freq. ------------+------------------------------------ 0 | .70393407 .19402493 303 1 | .90786335 .09812455 1,668 ------------+------------------------------------ Total | .87651349 .13903832 1,971 . log close name: log: C:\Users\stata10\Desktop\probit_logit.log log type: text closed on: 1 Nov 2022, 16:56:54 -----------------------------------------------------------------------------------------------------------------------