
Stata's treatment effects allow you to estimate experimental-type causal effects from observational data. Whether you are interested in a continuous, binary, count, fractional, or survival outcome; whether you are modeling the outcome process or treatment process; Stata can estimate your treatment effect. With the most comprehensive set of treatment-effects estimators available in any software package, you will find the one that's right for you.
Learn about treatment-effects analysis.
See Difference-in-differences (DID) and DDD models.
See Treatment-effects lasso estimation.
Endogeneity, Heckman-style selection, and panel data with treatment effects
Statistics
Treatments
Diagnostics
Difference-in-differences (DID) and triple-differences (DDD)
estimation New
Treatment effects with high-dimensional controls New
Additional resources
Watch A tour of treatment effects.
Watch Introduction to treatment effects, part 1.
Watch Introduction to treatment effects, part 2.
See New in Stata 17 to learn about what was added in Stata 17.