## Stata 15 help for scobit_postestimation

```
[R] scobit postestimation -- Postestimation tools for scobit

Postestimation commands

The following postestimation commands are available after scobit:

Command            Description
-------------------------------------------------------------------------
contrast         contrasts and ANOVA-style joint tests of estimates
estat ic         Akaike's and Schwarz's Bayesian information criteria
(AIC and BIC)
estat summarize  summary statistics for the estimation sample
estat vce        variance-covariance matrix of the estimators (VCE)
estat (svy)      postestimation statistics for survey data
* forecast         dynamic forecasts and simulations
lincom           point estimates, standard errors, testing, and
inference for linear combinations of coefficients
* lrtest           likelihood-ratio test
margins          marginal means, predictive margins, marginal effects,
and average marginal effects
marginsplot      graph the results from margins (profile plots,
interaction plots, etc.)
nlcom            point estimates, standard errors, testing, and
inference for nonlinear combinations of coefficients
predict          predictions, residuals, influence statistics, and
other diagnostic measures
predictnl        point estimates, standard errors, testing, and
inference for generalized predictions
pwcompare        pairwise comparisons of estimates
suest            seemingly unrelated estimation
test             Wald tests of simple and composite linear hypotheses
testnl           Wald tests of nonlinear hypotheses
-------------------------------------------------------------------------
* forecast and lrtest are not appropriate with svy estimation results.

Syntax for predict

predict [type] newvar [if] [in] [, statistic nooffset ]

predict [type] {stub*|newvar_reg newvar_lnalpha} [if] [in] , scores

statistic          Description
-------------------------------------------------------------------------
Main
pr               probability of a positive outcome; the default
xb               xb, linear prediction
stdp             standard error of the linear prediction
-------------------------------------------------------------------------
These statistics are available both in and out of sample; type predict
... if e(sample) ... if wanted only for the estimation sample.

Statistics > Postestimation

Description for predict

predict creates a new variable containing predictions such as
probabilities, linear predictions, and standard errors.

Options for predict

+------+
----+ Main +-------------------------------------------------------------

pr, the default, calculates the probability of a positive outcome.

xb calculates the linear prediction.

stdp calculates the standard error of the linear prediction.

nooffset is relevant only if you specified offset(varname) for scobit.
It modifies the calculations made by predict so that they ignore the
offset variable; the linear prediction is treated as xb rather than
as xb + offset.

scores calculates equation-level score variables.

The first new variable will contain d(ln L_j)/d(x_j b).

The second new variable will contain d(ln L_j)/d(ln(alpha)).

Syntax for margins

margins [marginlist] [, options]

margins [marginlist] , predict(statistic ...) [predict(statistic ...)
...] [options]

statistic          Description
-------------------------------------------------------------------------
pr                 probability of a positive outcome; the default
xb                 xb, linear prediction
stdp               not allowed with margins
-------------------------------------------------------------------------

Statistics not allowed with margins are functions of stochastic
quantities other than e(b).

For the full syntax, see [R] margins.

Statistics > Postestimation

Description for margins

margins estimates margins of response for probabilities and linear
predictions.

Examples

Setup
. sysuse auto

Fit skewed logistic regression
. scobit foreign mpg

Calculate predicted probabilities
. predict p

Graph data and fitted model; jitter the binary outcome
. line p mpg, sort || scatter foreign mpg, jitter(6)
ytitle(Pr(foreign)) legend(off)

```