Stata help! trying to make any specification for probit

#1
I am trying to see the relationship between job promotion and several x variables.
I recoded Y to promo as 0 and 1 and with x variables I ran probit. Now I am stuck with specification. I am trying to make specification to compare unrestricted and restricted model. Any help will be very appreciated.
Probit regression Number of obs = 6813
LR chi2(17) = 357.79
Prob > chi2 = 0.0000
Log likelihood = -4388.6795 Pseudo R2 = 0.0392

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promo | Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------+----------------------------------------------------------------
GENDER |
Female | -.119141 .0668603 -1.78 0.075 -.2501849 .0119028
PR_Q05B | -.0190748 .0208217 -0.92 0.360 -.0598845 .0217349
PR_Q12B | -.076342 .0441857 -1.73 0.084 -.1629444 .0102603
AB_Q11 | 0 (omitted)
LF_Q77AP | .2080625 .0311009 6.69 0.000 .1471057 .2690192
LF_Q77B | -.1687112 .1198513 -1.41 0.159 -.4036154 .0661929
LF_Q79P | .146964 .0117103 12.55 0.000 .1240123 .1699158
ED_Q01 | -.0136195 .0370022 -0.37 0.713 -.0861424 .0589035
ED_Q06 | -.1396784 .0322239 -4.33 0.000 -.202836 -.0765207
|
DE_Q01P |
Single / widowed .. | -.0486091 .0361729 -1.34 0.179 -.1195067 .0222885
DE_Q02P | -.0243052 .0452769 -0.54 0.591 -.1130464 .0644359
|
FATHEDP |
College/CEGEP/RA/.. | -.0359969 .0439137 -0.82 0.412 -.1220661 .0500723
Univ/bac/first pr.. | .0161336 .0410621 0.39 0.694 -.0643467 .0966139
|
MOTHEDP |
College/CEGEP/RA/.. | -.0746385 .041328 -1.81 0.071 -.1556399 .0063628
Univ/bac/first pr.. | -.1080356 .043645 -2.48 0.013 -.1935783 -.0224929
|
GRADAGEP | -.0591904 .0518459 -1.14 0.254 -.1608065 .0424256
AB_Q13 | -.1927914 .0386817 -4.98 0.000 -.2686061 -.1169767
GENDERGRADAGEP | .0195074 .0300605 0.65 0.516 -.0394101 .0784249
_cons | -.6579645 .2583948 -2.55 0.011 -1.164409 -.15152


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maartenbuis

TS Contributor
#2
You have to tell us what your restricted and unrestricted model is supposed to be. We cannot tell you which models you want to compare, only you can do so. After that it is just a matter of adding the variables you want to add.