The Measurement Revolution? Credible Measurement and Inference in the Age of AI
Artificial intelligence (AI) is transforming measurement in economics. AI models convert unstructured data, such as text and images, into structured variables at low cost, making previously prohibitive measurement feasible at scale. This shifts the bottleneck from finding any scalable measure of a phenomenon to choosing among many plausible ones, which may support different empirical conclusions. This review provides guidance for navigating that shift. We describe three stages at which AI enters the measurement pipeline---discovery, construct definition, and observation---and what each demands
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- FuzzySimilar title/name (fuzzy) · 84%xorbitsai/inference →
“Fuzzy title match (0.92): “The Measurement Revolution? Credible Measurement and Inferen” ≈ “xorbitsai/inference””
- PossiblePossibly related (embedding) · 54%What can federal data collection tell policymakers and researchers about artificial intelligence in the U.S. labor market? - Equitable Growth →
- LinkedLinked via arxiv author · 85%Melissa Dell →
“The Measurement Revolution? Credible Measurement and Inference in the Age of AI”