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29 lines (29 loc) · 955 Bytes
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cff-version: 1.2.0
title: "diff-diff: Difference-in-Differences Causal Inference for Python"
message: "If you use this software, please cite it as below."
type: software
authors:
- given-names: Isaac
family-names: Gerber
orcid: "https://orcid.org/0009-0009-3275-5591"
license: MIT
version: "3.1.0"
date-released: "2026-04-14"
url: "https://github.com/igerber/diff-diff"
repository-code: "https://github.com/igerber/diff-diff"
keywords:
- difference-in-differences
- causal-inference
- econometrics
- python
- treatment-effects
- event-study
- staggered-adoption
- parallel-trends
- synthetic-control
- panel-data
abstract: >-
A Python library for Difference-in-Differences (DiD) causal inference analysis.
Provides sklearn-like estimators for modern DiD methods including
Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies, and parallel
trends testing. Validated against R packages (did, synthdid, fixest).