Difference-in-Differences Designs: A Practitioner's Guide
2025/03/17 by Andrew Baker, Brantly Callaway, Baker, Andrew +7 · 12 voices · 4 citations
#econ.EM #stat.ME
paper · pdf · doi:10.48550/arxiv.2503.13323
Abstract
Difference-in-differences (DiD) is arguably the most popular quasi-experimental research design. Its canonical form, with two groups and two periods, is well-understood. However, empirical practices can be ad hoc when researchers go beyond that simple case. This article provides an organizing framework for discussing different types of DiD designs and their associated DiD estimators. It discusses covariates, weights, handling multiple periods, and staggered treatments. The organizational framework, however, applies to other extensions of DiD methods as well.
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Discussions
- It’s finally out! People, I’ve been hearing about this paper for so many years, but I am grateful it is out. Andrew Baker, Brantly Callaway, Scott Cunningham, Andrew Goodman-Bacon, Pedro H. C. Sant’A [bsky, 112 points, 0 comments]
- A new practitioner's guide to staggered difference-in-difference designs arxiv.org/pdf/2503.13323 [bsky, 35 points, 3 comments]
- Oooooo.... arxiv.org/pdf/2503.13323 - Difference-in-Differences Designs (AKA BACI for #ecology folk): A Practitioner's Guide 🌍🧪 From a great linup of authors including Andrew Baker, @causalinf.bsky. [bsky, 15 points, 2 comments]
- awesome DiD paper (March 17): arxiv.org/pdf/2503.13323 "Difference-in-Differences Designs: A Practitioner's Guide" Andrew Baker, Brantly Callaway, Scott Cunningham, Andrew Goodman-Bacon, Pedro H. C [bsky, 12 points, 2 comments]
- Maybe these two? arxiv.org/abs/2503.13323 www.sciencedirect.com/science/arti... [bsky, 11 points, 2 comments]
- This is like The Avengers for Econometrics nerds arxiv.org/abs/2503.13323 [bsky, 5 points, 0 comments]
- This paper just come out and is a very clear and helpful guide! arxiv.org/abs/2503.13323 [bsky, 5 points, 0 comments]
- This is a godsend. arxiv.org/abs/2503.13323 [bsky, 3 points, 1 comments]
- This "practitioner's guide" should cover most things! arxiv.org/pdf/2503.13323 [bsky, 2 points, 1 comments]
- Difference-in-Differences Designs: A Practitioner's Guide [hn, 2 points, 0 comments]
- but if khoa is referencing a specific paper, I'd assume it's still the practitioner's guide (arxiv.org/abs/2503.13323) [bsky, 1 points, 1 comments]
- Difference-in-Differences (DiD) is widely used but often messy beyond the basic 2x2 setup. This paper offers a clear framework to navigate DiD variants—covering covariates, weights, multiple periods & [bsky, 1 points, 0 comments]
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