Random-effects logistic regression Number of obs = 675
Group variable (i): e_farm Number of groups = 28
Random effects u_i ~ Gaussian Obs per group: min = 1
avg = 24.1
max = 124
Wald chi2(16) = 55.51
Log likelihood = -363.08026 Prob > chi2 = 0.0000
------------------------------------------------------------------------------
status | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_Iv_type_1 | .8567931 .5292698 1.62 0.105 -.1805566 1.894143
_Iv_type_3 | .7836975 .5244423 1.49 0.135 -.2441906 1.811586
floorarea | .0005784 .0005917 0.98 0.328 -.0005813 .0017382
bqs2 | .522315 .322696 1.62 0.106 -.1101576 1.154788
bqs5 | .3837457 .2552641 1.50 0.133 -.1165628 .8840542
_Ibqs7_1 | -.5865056 .5794704 -1.01 0.311 -1.722247 .5492356
_Ibqs7_2 | -.1258125 .3440977 -0.37 0.715 -.8002316 .5486067
_Ipps1_0 | -.1305904 .4061407 -0.32 0.748 -.9266116 .6654309
_Ipps1_1 | .1964106 .3752239 0.52 0.601 -.5390148 .9318359
_Ibis1_1 | 1.217941 1.285577 0.95 0.343 -1.301743 3.737625
_Ibis1_2 | .4460985 .3017643 1.48 0.139 -.1453485 1.037546
bis5 | .1678659 .266148 0.63 0.528 -.3537747 .6895064
sas1 | .9023956 .3671265 2.46 0.014 .1828409 1.62195
_IrdB_2 | -1.049914 .8792765 -1.19 0.232 -2.773265 .6734358
_IrdB_3 | -.4266696 .5833107 -0.73 0.464 -1.569938 .7165984
_IrdB_4 | .4683452 .3644601 1.29 0.199 -.2459835 1.182674
_cons | -3.388897 .7438128 -4.56 0.000 -4.846743 -1.931051
-------------+----------------------------------------------------------------
/lnsig2u | -15 419.6638 -837.5258 807.5258
-------------+----------------------------------------------------------------
sigma_u | .0005531 .1160549 1.4e-182 2.2e+175
rho | 9.30e-08 .000039 0 .
------------------------------------------------------------------------------
Likelihood-ratio test of rho=0: chibar2(01) = 0.00 Prob >= chibar2 = 1.000
**** Logit results *****************************************************
. xi: logit status i.v_type floorarea bqs2 bqs5 i.bqs7 i.pps1 i.bis1 bis5 sas1 i.rd
> B, nolog
i.v_type _Iv_type_1-3 (_Iv_type_2 for v_t~e==horizontal omitted)
i.bqs7 _Ibqs7_0-2 (naturally coded; _Ibqs7_0 omitted)
i.pps1 _Ipps1_0-2 (naturally coded; _Ipps1_2 omitted)
i.bis1 _Ibis1_0-2 (naturally coded; _Ibis1_0 omitted)
i.rdB _IrdB_2-9 (naturally coded; _IrdB_9 omitted)
Logistic regression Number of obs = 675
LR chi2(16) = 78.07
Prob > chi2 = 0.0000
Log likelihood = -363.08026 Pseudo R2 = 0.0971
------------------------------------------------------------------------------
status | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_Iv_type_1 | .8567931 .5292696 1.62 0.105 -.1805564 1.894143
_Iv_type_3 | .7836975 .5244422 1.49 0.135 -.2441902 1.811585
floorarea | .0005784 .0005917 0.98 0.328 -.0005813 .0017382
bqs2 | .522315 .3226957 1.62 0.106 -.110157 1.154787
bqs5 | .3837457 .2552639 1.50 0.133 -.1165624 .8840538
_Ibqs7_1 | -.5865056 .5794702 -1.01 0.311 -1.722246 .5492351
_Ibqs7_2 | -.1258125 .3440976 -0.37 0.715 -.8002315 .5486065
_Ipps1_0 | -.1305904 .4061405 -0.32 0.748 -.9266111 .6654304
_Ipps1_1 | .1964106 .3752237 0.52 0.601 -.5390143 .9318355
_Ibis1_1 | 1.217941 1.285577 0.95 0.343 -1.301743 3.737625
_Ibis1_2 | .4460985 .301764 1.48 0.139 -.145348 1.037545
bis5 | .1678659 .2661478 0.63 0.528 -.3537743 .689506
sas1 | .9023956 .3671263 2.46 0.014 .1828413 1.62195
_IrdB_2 | -1.049914 .8792763 -1.19 0.232 -2.773264 .6734355
_IrdB_3 | -.4266696 .5833101 -0.73 0.464 -1.569936 .7165972
_IrdB_4 | .4683452 .3644599 1.29 0.199 -.245983 1.182673
_cons | -3.388897 .7438126 -4.56 0.000 -4.846743 -1.931051
------------------------------------------------------------------------------
************************************************************************
And from Stata 9.2, where I have used the -iter(3)- option to force
-xtlogit- to cease and desist, we obtain the same results with lnsig2u
further towards negative infinity (but not convergence):
************************************************************************
. xi: xtlogit status i.v_type floorarea bqs2 bqs5 i.bqs7 i.pps1 i.bis1 bis5 sas1 i.
> rdB, nolog iter(3)
i.v_type _Iv_type_1-3 (_Iv_type_2 for v_t~e==horizontal omitted)
i.bqs7 _Ibqs7_0-2 (naturally coded; _Ibqs7_0 omitted)
i.pps1 _Ipps1_0-2 (naturally coded; _Ipps1_2 omitted)
i.bis1 _Ibis1_0-2 (naturally coded; _Ibis1_0 omitted)
i.rdB _IrdB_2-9 (naturally coded; _IrdB_9 omitted)
Random-effects logistic regression Number of obs = 675
Group variable (i): e_farm Number of groups = 28
Random effects u_i ~ Gaussian Obs per group: min = 1
avg = 24.1
max = 124
Wald chi2(16) = 55.51
Log likelihood = -363.08026 Prob > chi2 = 0.0000
------------------------------------------------------------------------------
status | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
_Iv_type_1 | .8567931 .5292696 1.62 0.105 -.1805564 1.894143
_Iv_type_3 | .7836975 .5244422 1.49 0.135 -.2441902 1.811585
floorarea | .0005784 .0005917 0.98 0.328 -.0005813 .0017382
bqs2 | .522315 .3226957 1.62 0.106 -.110157 1.154787
bqs5 | .3837457 .2552639 1.50 0.133 -.1165624 .8840538
_Ibqs7_1 | -.5865056 .5794702 -1.01 0.311 -1.722246 .5492351
_Ibqs7_2 | -.1258125 .3440976 -0.37 0.715 -.8002315 .5486065
_Ipps1_0 | -.1305904 .4061405 -0.32 0.748 -.9266111 .6654304
_Ipps1_1 | .1964106 .3752237 0.52 0.601 -.5390143 .9318355
_Ibis1_1 | 1.217941 1.285577 0.95 0.343 -1.301743 3.737625
_Ibis1_2 | .4460985 .301764 1.48 0.139 -.145348 1.037545
bis5 | .1678659 .2661478 0.63 0.528 -.3537743 .689506
sas1 | .9023956 .3671263 2.46 0.014 .1828413 1.62195
_IrdB_2 | -1.049914 .8792763 -1.19 0.232 -2.773264 .6734355
_IrdB_3 | -.4266696 .5833101 -0.73 0.464 -1.569936 .7165972
_IrdB_4 | .4683452 .3644599 1.29 0.199 -.245983 1.182673
_cons | -3.388897 .7438126 -4.56 0.000 -4.846743 -1.931051
-------------+----------------------------------------------------------------
/lnsig2u | -52.57779 . . .
-------------+----------------------------------------------------------------
sigma_u | 3.83e-12 . . .
rho | 4.45e-24 . . .
------------------------------------------------------------------------------
Likelihood-ratio test of rho=0: chibar2(01) = 0.00 Prob >= chibar2 = 1.000
*****************************************************************************
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
