DRDID

cranv1.2.3

Doubly Robust Difference-in-Differences Estimators. Implements the locally efficient doubly robust difference-in-differences (DiD) estimators for the average treatment effect proposed by Sant'Anna and Zhao (2020) <doi:10.1016/j.jeconom.2020.06.003>. The estimator combines inverse probability weighting and outcome regression estimators (also implement

License GPL-3strong copyleft0 versions1 maintainers5 deps2,358 weekly dl
pedrohcgs/DRDID
49
/ 100
Health
safe to use

[email protected] is safe to use (health: 49/100)

Health breakdown0 – 100
15/25
maintenance
6/20
popularity
25/25
security
0/15
maturity
3/15
community
Vulnerabilities
0
none known

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First published · 2025-12-11 11:42:58

Last updated · 2025-12-04T05:20:30+00:00

DRDID — Health Score 49/100 | DepScope