Dear all,
I am facing the following problem and don't know how to get the
anciliary parameters:
. oprobit EDUC AGEY AGEY2 SEX NONCONGO
Iteration 0: log likelihood = -1122.1342
Iteration 1: log likelihood = -1046.0122
Iteration 2: log likelihood = -1045.7553
Iteration 3: log likelihood = -1045.7552
Ordered probit regression Number of obs = 954
LR chi2(4) = 152.76
Prob > chi2 = 0.0000
Log likelihood = -1045.7552 Pseudo R2 = 0.0681
------------------------------------------------------------------------------
EDUC | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
AGEY | .0736376 .0111341 6.61 0.000 .0518153 .09546
AGEY2 | -.0009828 .0001291 -7.62 0.000 -.0012357 -.0007298
SEX | -.6859359 .0741232 -9.25 0.000 -.8312147 -.540657
NONCONGO | -.1942969 .4103864 -0.47 0.636 -.9986394 .6100456
-------------+----------------------------------------------------------------
/cut1 | -.8085854 .2530167 -1.304489 -.3126818
/cut2 | .1862875 .2520812 -.3077826 .6803575
/cut3 | 2.038884 .2615883 1.52618 2.551588
------------------------------------------------------------------------------
. lincom _b[_cut2] - _b[_cut1]
[_cut2] not found
r(111);
. ta EDUC
EDUC | Freq. Percent Cum.
------------+-----------------------------------
1 | 193 20.23 20.23
2 | 308 32.29 52.52
3 | 416 43.61 96.12
4 | 37 3.88 100.00
------------+-----------------------------------
Total | 954 100.00
.
--
Amadou B. DIALLO, PhD.
Economist (Anti-Poverty Programs - DR Congo), AFTP3, The World Bank,
Washington DC.
Director, Center for Research and Training on Adult Health and Education.
Mayotte (FRANCE). www.aprosasoma.org
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