Stata 15 help for jackknife_postestimation
[R] jackknife postestimation  Postestimation tools for jackknife
Postestimation commands
The following postestimation commands are available after jackknife:
Command Description

contrast contrasts and ANOVAstyle 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 variancecovariance matrix of the estimators (VCE)
estimates cataloging estimation results
hausman Hausman's specification test
lincom point estimates, standard errors, testing, and
inference for linear combinations of coefficients
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 nonlinear combinations of coefficients
pwcompare pairwise comparisons of estimates
test Wald tests of simple and composite linear hypotheses
testnl Wald tests of nonlinear hypotheses

The postestimation command is allowed only if it may be used after
command.
predict
The syntax of predict (and whether predict is even allowed) following
jackknife depends on the command used with jackknife.
margins
The syntax of margins (and whether margins is even allowed) following
jackknife depends on the command used with jackknife.
Examples
Setup
. webuse regress
. jackknife: regress y x1 x2 x3
Estimate linear combination of coefficients
. lincom x2x1
Test that coefficients of x1 and x3 are both zero
. test x1 x3
