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Ideological Bias in LLMs' Economic Causal Reasoning

Lee, Donggyu et al.
arXiv (All) · Papers
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and-scienceartificial-intelligencecomputation-and-languagecomputational-engineeringeconomicsfinancegeneral-economicsmachine-learning
Do large language models (LLMs) exhibit systematic ideological bias when reasoning about economic causal effects? As LLMs are increasingly used in policy analysis and economic reporting, where directionally correct causal judgments are essential, this question has direct practical stakes. We present
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