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

Research Papers from Stanford University, Graduate School of Business

Abstract: 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 an unbiased estimator of a particular weighted average causal effect. We characterize the properties of this estimand, and show that the standard variance estimator is conservative.

Date: 2018-08
New Economics Papers: this item is included in nep-exp and nep-ore
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Citations: View citations in EconPapers (143)

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Related works:
Journal Article: Design-based analysis in Difference-In-Differences settings with staggered adoption (2022)
Working Paper: Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption (2018)
Working Paper: Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:ecl:stabus:3712

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