Identification of treatment effects under imperfect matching with an application to Chinese elite schools

• 成果类型: Article
• 署名作者: Zhang, Hongliang
• 署名单位: Hong Kong Baptist University
• 刊物名称: JOURNAL OF PUBLIC ECONOMICS
• ISSN/ISSBN: 0047-2727
• DOI: 10.1016/j.jpubeco.2016.03.004
• 发表日期: 2016
• 页码: 56-82
• 关键词: Local average treatment effect; Distributional treatment effects; Imperfect matching; Elite schools; Student achievement

摘要

This paper extends the treatment effect framework for causal inference to contexts in which the instrument appears in a data set that can only be linked imperfectly to the treatment and outcome variables contained in another data set. To overcome this problem, I form all pairwise links between information on the instrument and information on the treatment and outcome matched by the commonly recorded personal characteristics in both data sets. I show how these imperfect conditional matches can be used to identify both the average and distributional treatment effects for compliers of the common units of the two data sets. This multiple data source approach is then applied to analyze the effect of attending an elite middle school in a Chinese city where schools' admissions lottery records can only be linked imperfectly to the administrative student records. (C) 2016 Elsevier B.V. All rights reserved.