I have been running logit regressions and making use of the -listcoef- command, which I got through - findit SPost9-. I am, however, puzzled by the fact that for some of the regressors, the -listcoef- outputs for b, z, and P>|z| are not the same as those of the -logit- ouputs for Coeff, z, and P>|z|, respectively. The coefficients for oip1 dr and urbrur1 are examples of this problem. Any help will be appreciated. Thanks.
. logit ds1 `plist4' if sex==1;
note: emp5 != 0 predicts failure perfectly
emp5 dropped and 4 obs not used
note: emp6 != 0 predicts success perfectly
emp6 dropped and 1 obs not used
Iteration 0: log likelihood = -718.12999
Iteration 1: log likelihood = -673.06324
Iteration 2: log likelihood = -670.23666
Iteration 3: log likelihood = -670.20789
Iteration 4: log likelihood = -670.20777
Iteration 5: log likelihood = -670.20777
Logistic regression Number of obs = 1423
LR chi2(18) = 95.84
Prob > chi2 = 0.0000
Log likelihood = -670.20777 Pseudo R2 = 0.0667
------------------------------------------------------------------------------
ds1 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
age | -.0234963 .0058438 -4.02 0.000 -.0349498 -.0120427
edu2 | .5577593 .262392 2.13 0.034 .0434805 1.072038
edu3 | .5054113 .2648162 1.91 0.056 -.013619 1.024442
edu4 | .401732 .2025544 1.98 0.047 .0047327 .7987312
edu5 | 1.026113 .2660829 3.86 0.000 .5045998 1.547626
edu6 | -.171827 1.090377 -0.16 0.875 -2.308927 1.965273
ms1 | -1.089054 .2926991 -3.72 0.000 -1.662734 -.5153742
ms3 | -.0935468 .2778263 -0.34 0.736 -.6380762 .4509827
emp2 | .7404608 .3505719 2.11 0.035 .0533525 1.427569
emp3 | 1.034576 .3613939 2.86 0.004 .3262569 1.742895
emp4 | -.9776898 1.081074 -0.90 0.366 -3.096555 1.141176
emp5 | 0 (omitted)
emp6 | 0 (omitted)
haqf2 | -.3332583 .2666087 -1.25 0.211 -.8558018 .1892853
haqf3 | .0224107 .2661995 0.08 0.933 -.4993308 .5441521
haqf4 | .2263022 .2729632 0.83 0.407 -.3086958 .7613001
haqf5 | .1463086 .2876302 0.51 0.611 -.4174362 .7100535
oip1 | -.2268579 .1724274 -1.32 0.188 -.5648094 .1110936
dr | .0810507 .0996962 0.81 0.416 -.1143502 .2764517
urbrur1 | -.1358947 .1642383 -0.83 0.408 -.4577959 .1860064
_cons | -1.290111 .5393789 -2.39 0.017 -2.347274 -.2329474
------------------------------------------------------------------------------
. listcoef, std help;
logit (N=1423): Unstandardized and Standardized Estimates
Observed SD: .40244191
Latent SD: 1.9611839
Odds of: Owes vs No_debt
-------------------------------------------------------------------------------
ds1 | b z P>|z| bStdX bStdY bStdXY SDofX
-------------+-----------------------------------------------------------------
age | -0.02350 -4.021 0.000 -0.3788 -0.0120 -0.1932 16.1232
edu2 | 0.55776 2.126 0.034 0.1651 0.2844 0.0842 0.2960
edu3 | 0.50541 1.909 0.056 0.1511 0.2577 0.0770 0.2989
edu4 | 0.40173 1.983 0.047 0.1985 0.2048 0.1012 0.4941
edu5 | 1.02611 3.856 0.000 0.3321 0.5232 0.1693 0.3236
edu6 | -0.17183 -0.158 0.875 -0.0144 -0.0876 -0.0073 0.0836
ms1 | -1.08905 -3.721 0.000 -0.3595 -0.5553 -0.1833 0.3301
ms3 | -0.09355 -0.337 0.736 -0.0266 -0.0477 -0.0136 0.2842
emp2 | 0.74046 2.112 0.035 0.3463 0.3776 0.1766 0.4676
emp3 | 1.03458 2.863 0.004 0.4164 0.5275 0.2123 0.4024
emp4 | -0.97769 -0.904 0.366 -0.1285 -0.4985 -0.0655 0.1314
haqf4 | -0.33326 -1.250 0.211 -0.1384 -0.1699 -0.0706 0.4153
haqf5 | 0.02241 0.084 0.933 0.0097 0.0114 0.0049 0.4308
oip1 | 0.22630 0.829 0.407 0.1110 0.1154 0.0566 0.4906
dr | 0.14631 0.509 0.611 0.1075 0.0746 0.0548 0.7345
urbrur1 | -0.22686 -1.316 0.188 -0.1073 -0.1157 -0.0547 0.4732
-------------------------------------------------------------------------------
b = raw coefficient
z = z-score for test of b=0
P>|z| = p-value for z-test
bStdX = x-standardized coefficient
bStdY = y-standardized coefficient
bStdXY = fully standardized coefficient
SDofX = standard deviation of X
. logit ds1 `plist4' if sex==1;
note: emp5 != 0 predicts failure perfectly
emp5 dropped and 4 obs not used
note: emp6 != 0 predicts success perfectly
emp6 dropped and 1 obs not used
Iteration 0: log likelihood = -718.12999
Iteration 1: log likelihood = -673.06324
Iteration 2: log likelihood = -670.23666
Iteration 3: log likelihood = -670.20789
Iteration 4: log likelihood = -670.20777
Iteration 5: log likelihood = -670.20777
Logistic regression Number of obs = 1423
LR chi2(18) = 95.84
Prob > chi2 = 0.0000
Log likelihood = -670.20777 Pseudo R2 = 0.0667
------------------------------------------------------------------------------
ds1 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
age | -.0234963 .0058438 -4.02 0.000 -.0349498 -.0120427
edu2 | .5577593 .262392 2.13 0.034 .0434805 1.072038
edu3 | .5054113 .2648162 1.91 0.056 -.013619 1.024442
edu4 | .401732 .2025544 1.98 0.047 .0047327 .7987312
edu5 | 1.026113 .2660829 3.86 0.000 .5045998 1.547626
edu6 | -.171827 1.090377 -0.16 0.875 -2.308927 1.965273
ms1 | -1.089054 .2926991 -3.72 0.000 -1.662734 -.5153742
ms3 | -.0935468 .2778263 -0.34 0.736 -.6380762 .4509827
emp2 | .7404608 .3505719 2.11 0.035 .0533525 1.427569
emp3 | 1.034576 .3613939 2.86 0.004 .3262569 1.742895
emp4 | -.9776898 1.081074 -0.90 0.366 -3.096555 1.141176
emp5 | 0 (omitted)
emp6 | 0 (omitted)
haqf2 | -.3332583 .2666087 -1.25 0.211 -.8558018 .1892853
haqf3 | .0224107 .2661995 0.08 0.933 -.4993308 .5441521
haqf4 | .2263022 .2729632 0.83 0.407 -.3086958 .7613001
haqf5 | .1463086 .2876302 0.51 0.611 -.4174362 .7100535
oip1 | -.2268579 .1724274 -1.32 0.188 -.5648094 .1110936
dr | .0810507 .0996962 0.81 0.416 -.1143502 .2764517
urbrur1 | -.1358947 .1642383 -0.83 0.408 -.4577959 .1860064
_cons | -1.290111 .5393789 -2.39 0.017 -2.347274 -.2329474
------------------------------------------------------------------------------
. listcoef, std help;
logit (N=1423): Unstandardized and Standardized Estimates
Observed SD: .40244191
Latent SD: 1.9611839
Odds of: Owes vs No_debt
-------------------------------------------------------------------------------
ds1 | b z P>|z| bStdX bStdY bStdXY SDofX
-------------+-----------------------------------------------------------------
age | -0.02350 -4.021 0.000 -0.3788 -0.0120 -0.1932 16.1232
edu2 | 0.55776 2.126 0.034 0.1651 0.2844 0.0842 0.2960
edu3 | 0.50541 1.909 0.056 0.1511 0.2577 0.0770 0.2989
edu4 | 0.40173 1.983 0.047 0.1985 0.2048 0.1012 0.4941
edu5 | 1.02611 3.856 0.000 0.3321 0.5232 0.1693 0.3236
edu6 | -0.17183 -0.158 0.875 -0.0144 -0.0876 -0.0073 0.0836
ms1 | -1.08905 -3.721 0.000 -0.3595 -0.5553 -0.1833 0.3301
ms3 | -0.09355 -0.337 0.736 -0.0266 -0.0477 -0.0136 0.2842
emp2 | 0.74046 2.112 0.035 0.3463 0.3776 0.1766 0.4676
emp3 | 1.03458 2.863 0.004 0.4164 0.5275 0.2123 0.4024
emp4 | -0.97769 -0.904 0.366 -0.1285 -0.4985 -0.0655 0.1314
haqf4 | -0.33326 -1.250 0.211 -0.1384 -0.1699 -0.0706 0.4153
haqf5 | 0.02241 0.084 0.933 0.0097 0.0114 0.0049 0.4308
oip1 | 0.22630 0.829 0.407 0.1110 0.1154 0.0566 0.4906
dr | 0.14631 0.509 0.611 0.1075 0.0746 0.0548 0.7345
urbrur1 | -0.22686 -1.316 0.188 -0.1073 -0.1157 -0.0547 0.4732
-------------------------------------------------------------------------------
b = raw coefficient
z = z-score for test of b=0
P>|z| = p-value for z-test
bStdX = x-standardized coefficient
bStdY = y-standardized coefficient
bStdXY = fully standardized coefficient
SDofX = standard deviation of X
