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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w6829 |
来源ID | Working Paper 6829 |
Propensity Score Matching Methods for Non-experimental Causal Studies | |
Rajeev H. Dehejia; Sadek Wahba | |
发表日期 | 1998-12-01 |
出版年 | 1998 |
语种 | 英语 |
摘要 | This paper considers causal inference and sample selection bias in non-experimental settings in which: (i) few units in the non-experimental comparison group are comparable to the treatment units, and (ii) selecting a subset of comparison units similar to the treatment units is difficult because units must be compared across a high-dimensional set of pre-treatment characteristics. We propose the use of propensity score matching methods and implement them using data from the NSW experiment. Following Lalonde (1986), we pair the experimental treated units with non-experimental comparison units from the CPS and PSID and compare the estimates of the treatment effect obtained using our methods to the benchmark results from the experiment. We show that the methods succeed in focusing attention on the small subset of the comparison units comparable to the treated units and, hence, in alleviating the bias due to systematic differences between the treated and comparison units. |
主题 | Econometrics ; Data Collection ; Estimation Methods |
URL | https://www.nber.org/papers/w6829 |
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/564340 |
推荐引用方式 GB/T 7714 | Rajeev H. Dehejia,Sadek Wahba. Propensity Score Matching Methods for Non-experimental Causal Studies. 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 | ||
w6829.pdf(189KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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