The Other Transformation in Econometric Practice: Robust Tools for Inference
Abstract
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.Download Info
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Article provided by American Economic Association in its journal Journal of Economic Perspectives.
Volume (Year): 24 (2010)
Issue (Month): 2 (Spring)
Pages: 83-94
Note: DOI: 10.1257/jep.24.2.83
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Related research
Keywords:Find related papers by JEL classification:
- B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
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As found by EconAcademics.org, the blog aggregator for Economics research:- Notes on books for Macroeconometrics
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