Bounds on Treatment Effects in the Presence of Sample Selection and Noncompliance: The Wage Effects of Job Corps
样本选择与不依从下的处理效应界：Job Corps的工资影响AI 解读 ↓
← 返回论文列表与筛选
阅读说明
本页整理公开书目信息，不生成学术质量评分。AI 解读根据题名及所注明的摘要或原文片段生成，未完成全文核验，可能有误；具体假设、证明与结论请核对原文。摘要保留来源文本，未经模型改写。
DOI 首次登记不等于接收或发表日期。部分更正、评论等条目没有独立摘要；缺少可靠材料时保留待补状态。
引用量采用 OpenAlex 单条关联记录，不合计多个记录；关联记录可能包含正式发表版本，不等于此版本单独引用。缺失不视为零，引用指标不代表论文质量。
关注作者按书目中的完整姓名匹配，同名和姓名变体需人工辨别。相关论文先按共享细分方向和具体方法排列，再参考通用方法与发表日期。
分类依据与纠错
AI 根据所提供的论文材料归类：摘要直接研究样本选择和不依从下的因果效应部分识别及实验项目评估。
反馈分类问题
正在核对关联版本…
代码、数据与补充材料
正在核对对应版本的资源…
关注这篇论文的作者
样本选择与不依从下的处理效应界：Job Corps的工资影响
- 研究问题
- 实验中同时存在工资仅对就业者可见的样本选择，以及受试者不遵从处理分配时，如何界定项目的平均工资效应？
- 方法与思路
- 作者在主分层框架内同时处理选择与不依从，推导非参数处理效应界，并将其用于Job Corps工资影响的评估。
- 材料陈述的贡献
- 摘要称在单调性和均值占优假设下，始终就业的依从者随机分配四年后的平均工资效应界为5.7%至13.9%。
- 阅读关注点
- 应核对主分层目标人群、单调性与均值占优的具体含义，以及界的估计、统计不确定性和分组结果的构造。
- 阅读边界
- 摘要未给出假设的完整形式、证明或置信区间；工资效应界针对始终就业的依从者，不能推广为全体参与者的效应。
原文摘要
Randomized and natural experiments are commonly used in economics and other social science fields to estimate the effect of programs and interventions. Even when employing experimental data, assessing the impact of a treatment is often complicated by the presence of sample selection (outcomes are only observed for a selected group) and noncompliance (some treatment group individuals do not receive the treatment while some control individuals do). We address both of these identification problems simultaneously and derive nonparametric bounds for average treatment effects within a principal stratification framework. We employ these bounds to empirically assess the wage effects of Job Corps (JC), the most comprehensive and largest federally funded job training program for disadvantaged youth in the United States. Our results strongly suggest positive average effects of JC on wages for individuals who comply with their treatment assignment and would be employed whether or not they enrolled in JC (the “always-employed compliers”). Under relatively weak monotonicity and mean dominance assumptions, we find that this average effect is between 5.7% and 13.9% 4 years after randomization, and between 7.7% and 17.5% for non-Hispanics. Our results are consistent with larger effects of JC on wages than those found without adjusting for noncompliance.