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Where Silicon Samples Go Wrong: Item-Level Coefficient Distortion in LLM-Simulated Chinese Public Opinion

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computational-social-sciencelarge-language-models
Do regressions fitted to survey responses simulated by large language models return the coefficients human data would? We used four 2026 models to generate responses to the full attitude-item bank of two Chinese General Social Survey waves, conditioning on 1,000 respondents’ demographic profiles per
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