Causal Inference and Treatment-Effects Estimation Reference Manual

This manual includes features that are part of StataNow™.


Publisher: Stata Press
Copyright: 2023
ISBN-13: 978-1-59718-374-1
Pages: 537
Suggested citation

StataCorp. 2023. Stata 18 Causal Inference and Treatment-Effects Estimation Reference Manual. College Station, TX: Stata Press.

Supplemental materials

Table of contents
Intro Introduction to treatment-effects manual
Causal inference commands Introduction to treatment-effects commands
 
DID intro Introduction to difference-in-differences estimation
didregress Difference-in-differences estimation
didregress postestimation Postestimation tools for didregress and xtdidregress
 
eteffects Endogenous treatment-effects estimation
eteffects postestimation Postestimation tools for eteffects
etpoisson Poisson regression with endogenous treatment effects
etpoisson postestimation Postestimation tools for etpoisson
etregress Linear regression with endogenous treatment effects
etregress postestimation Postestimation tools for etregress
 
hdidregress Heterogeneous difference in differences
hdidregress postestimation Postestimation tools for hdidregress and xthdidregress
 
mediate Causal mediation analysis
mediate postestimation Postestimation tools for mediate
 
stteffects Treatment-effects estimation for observational survival-time data
stteffects intro Introduction to treatment effects for observational survival-time data
stteffects ipw Survival-time inverse-probability weighting
stteffects ipwra Survival-time inverse-probability-weighted regression adjustment
stteffects postestimation Postestimation tools for stteffects
stteffects ra Survival-time regression adjustment
stteffects wra Survival-time weighted regression adjustment
 
tebalance Check balance after teffects or stteffects estimation
tebalance box Covariate balance box
tebalance density Covariate balance density
tebalance overid Test for covariate balance
tebalance summarize Covariate-balance summary statistics
 
teffects Treatment-effects estimation for observational data
teffects intro Introduction to treatment effects for observational data
teffects intro advanced Advanced introduction to treatment effects for observational data
teffects aipw Augmented inverse-probability weighting StataNow
teffects ipw Inverse-probability weighting
teffects ipwra Inverse-probability-weighted regression adjustment
teffects multivalued Multivalued treatment effects
teffects nnmatch Nearest-neighbor matching
teffects postestimation Postestimation tools for teffects
teffects psmatch Propensity-score matching
teffects ra Regression adjustment
 
telasso Treatment-effects estimation using lasso
telasso postestimation Postestimation tools for telasso
 
teoverlap Overlap plots
 
xthdidregress Heterogeneous difference in differences for panel data
xthdidregress postestimation Postestimation tools for xthdidregress
 
Glossary
 
Combined author index
Combined subject index