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Tingmingke Lu

Publications and source records attributed to Tingmingke Lu.

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Bounded Attention and Attenuated Elasticities

We study how bounded attention affects the structural estimation of the elasticity of substitution. In a sparse-max model, equilibrium prices and expenditure shares are observationally equivalent to those of a rational market. Its elasticity equals the structural elasticity scaled by the attention weight. The supply-side orthogonality condition of the covariance-based estimator holds at this attenuated elasticity but fails at the truth. Absent outside information, the estimator converges to the attenuated elasticity. Bounded attention leads to an identification failure that finite-sample and weak-instrument corrections cannot resolve. Because attention cannot exceed one, the estimate provides a lower bound on the structural elasticity.

econ.GN

Maximum Hallucination Standards for Domain-Specific Large Language Models

Large language models (LLMs) often generate inaccurate yet credible-sounding content, known as hallucinations. This inherent feature of LLMs poses significant risks, especially in critical domains. I analyze LLMs as a new class of engineering products, treating hallucinations as a product attribute. I demonstrate that, in the presence of imperfect awareness of LLM hallucinations and misinformation externalities, net welfare improves when the maximum acceptable level of LLM hallucinations is designed to vary with two domain-specific factors: the willingness to pay for reduced LLM hallucinations and the marginal damage associated with misinformation.

econ.GN