Stata 15 help for teffects
[TE] teffects  Treatmenteffects estimation for observational data
Syntax
teffects subcommand ... [, options]
subcommand Description

aipw augmented inverseprobability weighting
ipw inverseprobability weighting
ipwra inverseprobabilityweighted regression adjustment
nnmatch nearestneighbor matching
overlap overlap plots
psmatch propensityscore matching
ra regression adjustment

Description
teffects estimates potentialoutcome means (POMs), average treatment
effects (ATEs), and average treatment effects on the treated (ATETs)
using observational data. Regressionadjustment,
inverseprobabilityweighted, and matching estimators are provided, as
are doubly robust methods that combine regression adjustment and
inverseprobability weighting. teffects overlap plots the estimated
densities of the probability of getting each treatment level.
The outcomes can be continuous, binary, count, fractional, or
nonnegative. The treatment model can be binary, or it can be
multinomial, allowing for multivalued treatments.
For a brief description and example of each estimator, see Remarks in
teffects intro.
