About this work
A theoretical paper examining how generative agents can help elicit consumer preferences while distinguishing utility approximation, latent utility and causal identification.
- AI-inferred utility versus latent utility.
- Calibration, assumptions and bounded measurement error.
- Why AI alone does not solve causal identification.
An independent theoretical working paper. Results are conditional on the assumptions described in the paper.
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