The Trade-Off between Flexibility and Robustness in Instrumental Variables Analysis
在加性工具变量模型中，先验约束的强度决定了模型对工具变量有效性或加性可分离性失效的稳健性，并通过理论分析和数值研究为实证应用提供指导。
In additive instrumental variables models, the robustness to some failure of instrumental validity or additive separability depends on the strength of a priori restrictions on the structural relationship between outcomes and treatments. I provide theoretical analysis of the problem, discuss the implications for empirical practice, and demonstrate with a numerical study calibrated on real-world data.