Search Results for author: John J. Horton

Found 3 papers, 0 papers with code

Automated Social Science: Language Models as Scientist and Subjects

no code implementations17 Apr 2024 Benjamin S. Manning, Kehang Zhu, John J. Horton

Structural causal models provide a language to state hypotheses, a blueprint for constructing LLM-based agents, an experimental design, and a plan for data analysis.

Experimental Design

Algorithmic Writing Assistance on Jobseekers' Resumes Increases Hires

no code implementations19 Jan 2023 Emma van Inwegen, Zanele Munyikwa, John J. Horton

There is a strong association between the quality of the writing in a resume for new labor market entrants and whether those entrants are ultimately hired.

Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?

no code implementations18 Jan 2023 John J. Horton

Newly-developed large language models (LLM) -- because of how they are trained and designed -- are implicit computational models of humans -- a homo silicus.

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