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DiD Digest

diddigest.xyz

DiD Digest, “Beatriz Gietner”, is a science site on diddigest.xyz, in English, funded by its readers through Substack; no supporter count is published.

A Substack newsletter by Beatriz Gietner curating new research papers on difference-in-differences methodology for causal inference.

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Latest posts

From the site's feed, read 2026-10-14.

Pages

20 pages indexed; the pages that lead the site by its internal links:

DiD Digest | Beatriz Gietner | Substack
https://diddigest.xyz/
The outcomes you measure and the assumptions holding them up
https://diddigest.xyz/p/the-outcomes-you-measure-and-the
Where Standard Assumptions Go To Die - by Beatriz Gietner
https://diddigest.xyz/p/where-standard-assumptions-go-to
Parallel Trends… Conditionally: Covariates, Violations, and More Robust DiD Methods
https://diddigest.xyz/p/parallel-trends-conditionally-covariates
Missing and Messy - by Beatriz Gietner - DiD Digest
https://diddigest.xyz/p/missing-and-messy
Which controls, which estimator? - by Beatriz Gietner
https://diddigest.xyz/p/which-controls-which-estimator
DiD+: how to handle data constraints, some timing issues and other TWFE limitations
https://diddigest.xyz/p/did-handling-data-constraints-timing
Four new DiD studies + a textbook update
https://diddigest.xyz/p/four-new-did-studies-a-textbook-update
On Finding Causes vs. Finding Levers - by Beatriz Gietner
https://diddigest.xyz/p/on-finding-causes-vs-finding-levers
Machine Learning for Continuous Treatments, Bayesian Methods for Staggered Timing, and Using Experiments to Fix Observational Data
https://diddigest.xyz/p/machine-learning-for-continuous-treatments
About - DiD Digest
https://diddigest.xyz/about
Efficient Estimation, Sequential Synthetic Control DiD, and the TWFE Debate
https://diddigest.xyz/p/efficient-estimation-sequential-synthetic

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Linked from 5 domains, links to 93; of the latter, the funded sites are shown. Funded sites first, then the sources that link to fewest other funded sites. Links as seen in the Common Crawl domain graph (cc-main-2026-aug-sep-oct), cut 2026-10-23: the pages crawled in a window of three months, not necessarily the site of today, and a page not crawled in that window leaves no link.

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