| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w6699 |
| 来源ID | Working Paper 6699 |
| Characterizing Selection Bias Using Experimental Data | |
| James Heckman; Hidehiko Ichimura; Jeffrey Smith; Petra Todd | |
| 发表日期 | 1998-08-01 |
| 出版年 | 1998 |
| 语种 | 英语 |
| 摘要 | This paper develops and applies semiparametric econometric methods to estimate the form of selection bias that arises from using nonexperimental comparison groups to evaluate social programs and to test the identifying assumptions that justify three widely-used classes of estimators and our extensions of them: (a) the method of matching; (b) the classical econometric selection model which represents the bias solely as a function of the probability of participation; and (c) the method of difference-in-differences. Using data from an experiment on a prototypical social program combined with unusually rich data from a nonexperimental comparison group, we reject the assumptions justifying matching and our extensions of that method but find evidence in support of the index-sufficient selection bias model and the assumptions that justify application of a conditional semiparametric version of the method of difference-in-difference. Fa comparable people and to appropriately weight participants and nonparticipants a sources of selection bias as conveniently measured. We present a rigorous defin bias and find that in our data it is a small component of conventially meausred it is still substantial when compared with experimentally-estimated program impa matching participants to comparison group members in the same labor market, givi same questionnaire, and making sure they have comparable characteristics substan the performance of any econometric program evaluation estimator. We show how t analysis to estimate the impact of treatment on the treated using ordinary obser |
| 主题 | Econometrics ; Estimation Methods ; Experimental Design |
| URL | https://www.nber.org/papers/w6699 |
| 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/564208 |
| 推荐引用方式 GB/T 7714 | James Heckman,Hidehiko Ichimura,Jeffrey Smith,et al. Characterizing Selection Bias Using Experimental Data. 1998. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w6699.pdf（3334KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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