mlsanityData to 14 Oct 2026

Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption

arXiv 1808.05293 ↗First posted 15 Aug 2018econ.EM cs.LG math.STcited by 15

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Abstract (arXiv)

In this paper we study estimation of and inference for average treatment effects in a setting with panel data. We focus on the setting where units, e.g., individuals, firms, or states, adopt the policy or treatment of interest at a particular point in time, and then remain exposed to this treatment at all times afterwards. We take a design perspective where we investigate the properties of estimators and procedures given assumptions on the assignment process. We show that under random assignment of the adoption date the standard Difference-In-Differences estimator is is an unbiased estimator of a particular weighted average causal effect. We characterize the proeperties of this estimand, and show that the standard variance estimator is conservative.

Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). First posted on arXiv 15 Aug 2018.

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Citing papers per year: 2020: 1; 2021: 1; 2022: 0; 2023: 3; 2024: 3; 2025: 6; 2026: 1.

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