Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.
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Updated
Apr 27, 2026 - Python
Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.
Stata implementation of Double Difference-in-Differences (Egami & Yamauchi, 2023). Optimally combines standard DID and sequential DID via GMM for improved efficiency and robustness. Supports staggered adoption designs.
Synthetic DiD estimation in staggered adoption settings
The research estimates the effect on the dynamics of applications for unemployment benefits in response to the lifting of regional restrictive measures in the first wave of the COVID-19 pandemic in Russia
R package implementing Lee & Wooldridge (2025, 2026) rolling difference-in-differences estimator for panel data with staggered adoption, multiple estimators (RA/IPW/IPWRA/PSM), and exact small-sample inference.(Public Preview)
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