The Other Transformation in Econometric Practice: Robust Tools for Inference
指出计量实践中有两股变革力量，除了Angrist和Pischke强调的设计导向研究，还有一股致力于开发对辅助建模假设稳健的推断工具，并讨论了宏观计量中应用实验方法的局限性。
Angrist and Pischke highlight one aspect of the research that has positively transformed econometric practice and teaching. They emphasize the rise of experiments and quasi-experiments as credible sources of identification in microeconometric studies, which they usefully term “design-based research.” But in so doing, they miss an important part of the story: a second research strand aimed at developing tools for inference that are robust to subsidiary modeling assumptions. My first aim in these remarks therefore is to highlight some key developments in this area. I then turn to Angrist and Pischke's call for adopting experiments and quasi-experiments in macroeconometrics; while sympathetic, I suspect the scope for such studies is limited. I conclude with some observations on the current debate about whether experimental methods have gone too far in abandoning economic theory.