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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w6586 |
来源ID | Working 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 |
URL | https://www.nber.org/papers/w6586 |
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/564098 |
推荐引用方式 GB/T 7714 | Rajeev H. Dehejia,Sadek Wahba. Causal Effects in Non-Experimental Studies: Re-Evaluating the Evaluation of Training Programs. 1998. |
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文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
w6586.pdf(143KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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