4.5 Article

Partial Identification of Local Average Treatment Effects With an Invalid Instrument

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

  1. NSF [SES-0852211, SES-0852139]
  2. McLamore summer research award at the University of Miami

向作者/读者索取更多资源

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.

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