| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w19742 |
| 来源ID | Working Paper 19742 |
| Endogenous Stratification in Randomized Experiments | |
| Alberto Abadie; Matthew M. Chingos; Martin R. West | |
| 发表日期 | 2013-12-19 |
| 出版年 | 2013 |
| 语种 | 英语 |
| 摘要 | Researchers and policy makers are often interested in estimating how treatments or policy interventions affect the outcomes of those most in need of help. This concern has motivated the increasingly common practice of disaggregating experimental data by groups constructed on the basis of an index of baseline characteristics that predicts the values that individual outcomes would take on in the absence of the treatment. This article shows that substantial biases may arise in practice if the index is estimated, as is often the case, by regressing the outcome variable on baseline characteristics for the full sample of experimental controls. We analyze the behavior of leave-one-out and repeated split sample estimators and show they behave well in realistic scenarios, correcting the large bias problem of the full sample estimator. We use data from the National JTPA Study and the Tennessee STAR experiment to demonstrate the performance of alternative estimators and the magnitude of their biases. |
| 主题 | Econometrics ; Estimation Methods ; Experimental Design |
| URL | https://www.nber.org/papers/w19742 |
| 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/577416 |
| 推荐引用方式 GB/T 7714 | Alberto Abadie,Matthew M. Chingos,Martin R. West. Endogenous Stratification in Randomized Experiments. 2013. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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