HomeAnnotated BibliographiesGenAI Generative AI for Economic Research: Use Cases and Implications for Economists Share: Section NavigationSkip section navigationIn this sectionAnnotated Bibliographies Affirming and Inclusive Engaged Learning for Neurodivergent Students Capstone Experiences Conditions for Meaningful Learning GenAI and Engaged Learning Global Learning Internships Learning Communities Learning on Location: Place-Based Pedagogies Mentoring Service-Learning Student-Faculty Partnership Supporting Neurodiverse and Physically Disabled Students Undergraduate Research Work-Integrated Learning Writing Transfer In and Beyond the University Reference List Entry:Korinek, Anton. 2023. "Generative AI for Economic Research: Use Cases and Implications for Economists." Journal of Economic Literature 61 (4): 1281-1317. https://doi.org/10.1257/jel.20231736.About this Journal Article: This article can be used in teaching a well as research. Since the workshop will be at the intersection of the two – researching about learning I wanted to have this showcased. Korinek argues that recent advances in large language models have made them powerful tools for economic research, especially for brainstorming, writing, coding, data analysis, literature support, mathematical reasoning, and research promotion. He emphasizes that LLMs can substantially improve researcher productivity, but their use still requires human judgment, verification, transparency, and caution because of risks such as hallucinations, bias, privacy concerns, and reproducibility problems. Recommended by Subhadra Ganguli.
