Melissa Dell and Ashesh Rambachan on what happens to estimation and inference when the variables in your regression were produced by an AI model. Four segments: what measurement is and where AI enters it; generating hypotheses from unstructured data; debiasing AI labels with a validation sample; and what remains identified when no random validation sample exists.
Papers
- Measurement in the Age of AI: Discovery, Definition, and Observation econometrics · machine learning · measurement
- Discovery and Hypothesis Generation with Unstructured Data econometrics · machine learning · hypothesis generation
- Measurement with Validation Samples: A Missing-Data Perspective econometrics · measurement · missing data
- Measurement without Random Validation Samples: Multiple Measurements and Data Fusion econometrics · measurement · data fusion