文章基本信息

标题：A Method for Measuring Treatment Effects on the Treated without Randomization
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作者：Swamy, P.A.V.B. ; Hall, Stephen G. ; Tavlas, George 等
期刊名称：Econometrics
印刷版ISSN：2225-1146
出版年度：2016
卷号：4
期号：2
出版社：MDPI, Open Access Journal
摘要：This paper contributes to the literature on the estimation of causal effects by providing an analytical formula for individual specific treatment effects and an empirical methodology that allows us to estimate these effects. We derive the formula from a general model with minimal restrictions, unknown functional form and true unobserved variables such that it is a credible model of the underlying real world relationship. Subsequently, we manipulate the model in order to put it in an estimable form. In contrast to other empirical methodologies, which derive average treatment effects, we derive an analytical formula that provides estimates of the treatment effects on each treated individual. We also provide an empirical example that illustrates our methodology.
关键词：causality; real-world relationship; unique error term; treatment effect; non-experimental situation