期刊
JOURNAL OF BUSINESS & ECONOMIC STATISTICS
卷 31, 期 4, 页码 534-545出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/07350015.2013.822760
关键词
Causal inference; Instrumental variables; Mediation analysis; Nonparametric bounds; Principal stratification
资金
- NSF [SES-0852211, SES-0852139]
- McLamore summer research award at the University of Miami
We derive nonparametric bounds for local average treatment effects (LATE) without imposing the exclusion restriction assumption or requiring an outcome with bounded support. Instead, we employ assumptions requiring weak monotonicity of mean potential and counterfactual outcomes within or across subpopulations defined by the values of the potential treatment status under each value of the instrument. The key element in our derivation is a result relating LATE to a causal mediation effect, which allows us to exploit partial identification results from the causal mediation analysis literature. The bounds are employed to analyze the effect of attaining a GED, high school, or vocational degree on future labor market outcomes using randomization into a training program as an invalid instrument. The resulting bounds are informative, indicating that the local effect when assigned to training for those whose degree attainment is affected by the instrument is at most 12.7 percentage points on employment and $64.4 on weekly earnings.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据