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来源类型Working Paper
规范类型报告
DOI10.3386/w6586
来源IDWorking Paper 6586
Causal Effects in Non-Experimental Studies: Re-Evaluating the Evaluation of Training Programs
Rajeev H. Dehejia; Sadek Wahba
发表日期1998-06-01
出版年1998
语种英语
摘要This paper uses propensity score methods to address the question: how well can an observational study estimate the treatment impact of a program? Using data from Lalonde's (1986) influential evaluation of non-experimental methods, we demonstrate that propensity score methods succeed in estimating the treatment impact of the National Supported Work Demonstration. Propensity score methods reduce the task of controlling for differences in pre-intervention variables between the treatment and the non-experimental comparison groups to controlling for differences in the estimated propensity score (the probability of assignment to treatment, conditional on covariates). It is difficult to control for differences in pre-intervention variables when they are numerous and when the treatment and comparison groups are dissimilar, whereas controlling for the estimated propensity score, a single variable on the unit interval, is a straightforward task. We apply several methods, such as stratification on the propensity score and matching on the propensity score, and show that they result in accurate estimates of the treatment impact.
主题Econometrics ; Data Collection ; Estimation Methods
URLhttps://www.nber.org/papers/w6586
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/564098
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Rajeev H. Dehejia,Sadek Wahba. Causal Effects in Non-Experimental Studies: Re-Evaluating the Evaluation of Training Programs. 1998.
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