全球智库信息集成服务系统(G2TT): Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption

G2TT

来源类型	Working Paper
规范类型	报告
DOI	10.3386/w24963
来源ID	Working Paper 24963
	Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption
	Susan Athey; Guido W. Imbens
发表日期	2018-09-03
出版年	2018
语种	英语
摘要	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.
主题	Econometrics ; Estimation Methods
URL	https://www.nber.org/papers/w24963
来源智库	National Bureau of Economic Research (United States)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/582637
推荐引用方式 GB/T 7714	Susan Athey,Guido W. Imbens. Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption. 2018.