Paper Overview
Field: NLP Authors: Daniel Robert Kling Alexander, Catherine Louise Kling Released: 2026-10-07 arXiv: 2610.10506
What the Paper Does
Many questions now put to large language models have no correct answer to score against: what a policy is worth, which option a user should choose, how to weigh competing values. Stated-preference economics has faced this problem for decades, judging survey responses without knowing the true value.
The authors argue that the validity framework from stated-preference economics is a general method for evaluating language models. They map each related concept to LLM evaluation:
- Content validity
- Construct validity
- Criterion validity
- Reliability
- Incentive compatibility
- Consequentiality
- Demand curves should slope downward
- Willingness to pay should respond to the scope of the good
- Willingness to pay should respond to income
- These tests clearly discriminate between models.
- Two older models failed even the most basic checks at a household income level of USD 75,000.
- The two newest models passed all theoretical validity tests that could be scored, but diverged on convergent validity.
- Importantly, passing validity tests indicates that a model's responses are coherent — not that they are correct.
Demonstration
The approach is demonstrated using a published water-quality stated preference economic valuation survey (Vossler et al. 2023) administered to six models.
In this economic application, validity checks take the form of economic theory predictions: