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Research questionHow can AI-derived respondent measures recover within- and between-group effects when conventional surveys are unavailable?When conventional survey measures are unavailable, researchers may still need to estimate associations within groups and between groups. The difficulty is determining whether AI-derived respondent measures preserve those contextual effects under different information constraints.
AI
Economics
Evaluation & Benchmarks
Research Paper
Latest papersRecent research connected to this question, newest first.AI Contextual Measurement for Recovering Individual and Group-Level Effects: Validation Against Survey Measures and an Occupational ApplicationThe evidence concerns occupational groups and job-related constructs in the 2022 China Family Panel Studies. It evaluates AI-derived measures against survey benchmarks and finds stronger recovery with rich respondent and job characteristics, but weaker recovery when inputs are limited to occupation and basic demographics or when several related concepts are simultaneously unobserved.research paper · Sep 2, 2026
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