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Research questionHow can LLMs predict flexible workers’ responses to hypothetical pension policies without costly field experiments?Policymakers need to anticipate how people will respond to new social-policy rules, but econometric extrapolation may be unreliable for hypothetical scenarios and field pilots can be expensive. The challenge is making behavioral predictions that remain useful across policy contexts and populations.
AI
Economics
Evaluation & Benchmarks
Machine Learning
Natural Language Processing
Research Paper
Latest papersRecent research connected to this question, newest first.Can Large Language Models Anticipate Behavioral Responses to Social Policies? A Case of Pension Enrollment Prediction among China's Flexible WorkersThe evidence concerns a hierarchical pension-enrollment prediction task for flexible workers in China. Results are reported on a blind split of the 2019 China Health and Retirement Longitudinal Study and across four external surveys; the work evaluates an LLM-based policy-assessment system and does not establish causal policy effects.research paper · Sep 7, 2026
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