G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/t0330
来源IDTechnical Working Paper 0330
Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand
Richard K. Crump; V. Joseph Hotz; Guido W. Imbens; Oscar A. Mitnik
发表日期2006-10-06
出版年2006
语种英语
摘要Estimation of average treatment effects under unconfoundedness or exogenous treatment assignment is often hampered by lack of overlap in the covariate distributions. This lack of overlap can lead to imprecise estimates and can make commonly used estimators sensitive to the choice of specification. In such cases researchers have often used informal methods for trimming the sample. In this paper we develop a systematic approach to addressing such lack of overlap. We characterize optimal subsamples for which the average treatment effect can be estimated most precisely, as well as optimally weighted average treatment effects. Under some conditions the optimal selection rules depend solely on the propensity score. For a wide range of distributions a good approximation to the optimal rule is provided by the simple selection rule to drop all units with estimated propensity scores outside the range [0.1,0.9].
主题Econometrics ; Estimation Methods
URLhttps://www.nber.org/papers/t0330
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/570215
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Richard K. Crump,V. Joseph Hotz,Guido W. Imbens,et al. Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand. 2006.
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