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Language Models and Cognitive Automation for Economic Research

Citations

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Cited by:

  1. Anton Korinek & Donghyun Suh, 2024. "Scenarios for the Transition to AGI," NBER Working Papers 32255, National Bureau of Economic Research, Inc.
  2. Alejandro Lopez-Lira & Yuehua Tang, 2023. "Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models," Papers 2304.07619, arXiv.org, revised Oct 2025.
  3. Bhasin, Karan & Loungani, Prakash, 2026. "Identifying episodes of fiscal austerity: An LLM-based approach," Journal of Economic Dynamics and Control, Elsevier, vol. 188(C).
  4. Yuhao Fu & Nobuyuki Hanaki, 2024. "Do people rely on ChatGPT more than their peers to detect deepfake news?," ISER Discussion Paper 1233r, Institute of Social and Economic Research, The University of Osaka, revised Dec 2024.
  5. Growiec, Jakub, . "Gospodarka 4.0? Nowe ujęcie teoretyczne rewolucji cyfrowej i jej konsekwencji dla długookresowego wzrostu," Gospodarka Narodowa-The Polish Journal of Economics, Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics, vol. 2023(4).
  6. Zhao, Yikai & Nagayasu, Jun & Tian, Jingyi & Geng, Xinyi, 2026. "Corporate bond pricing under climate policy uncertainty: Evidence from firm-level exposure," Structural Change and Economic Dynamics, Elsevier, vol. 79(C), pages 459-481.
  7. Tyna Eloundou & Sam Manning & Pamela Mishkin & Daniel Rock, 2023. "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," Papers 2303.10130, arXiv.org, revised Aug 2023.
  8. Nir Chemaya & Daniel Martin, 2024. "Perceptions and detection of AI use in manuscript preparation for academic journals," PLOS ONE, Public Library of Science, vol. 19(7), pages 1-16, July.
  9. Sardar Bonabi & Sarah Bana & Vijay Gurbaxani & Tingting Nian, 2025. "Beyond Code: The Multidimensional Impacts of Large Language Models in Software Development," Papers 2506.22704, arXiv.org, revised Jul 2025.
  10. Yonghong Zhang & Ricardo Correia & Isabel M. Parra & Yong Xie, 2026. "CausalVerify: End-to-End Verification of Causal Analyses by Language Models," Papers 2609.07944, arXiv.org, revised Sep 2026.
  11. Ardekani, Aref Mahdavi & Bertz, Julie & Bryce, Cormac & Dowling, Michael & Long, Suwan(Cheng), 2024. "FinSentGPT: A universal financial sentiment engine?," International Review of Financial Analysis, Elsevier, vol. 94(C).
  12. Jakub Growiec, 2023. "Industry 4.0? Framing the Digital Revolution and Its Long-Run Growth Consequences," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 4, pages 1-16.
  13. Alonso-Robisco, Andres & Carbó, José Manuel, 2023. "Analysis of CBDC narrative by central banks using large language models," Finance Research Letters, Elsevier, vol. 58(PC).
  14. Bertomeu, Jeremy & Lin, Yupeng & Liu, Yibin & Ni, Zhenghui, 2025. "The impact of generative AI on information processing: Evidence from the ban of ChatGPT in Italy," Journal of Accounting and Economics, Elsevier, vol. 80(1).
  15. Gary Charness & Brian Jabarian & John A. List, 2023. "Generation Next: Experimentation with AI," NBER Working Papers 31679, National Bureau of Economic Research, Inc.
  16. Baptiste Lefort & Eric Benhamou & Jean-Jacques Ohana & David Saltiel & Beatrice Guez & Thomas Jacquot, 2024. "Stress index strategy enhanced with financial news sentiment analysis for the equity markets," Papers 2404.00012, arXiv.org.
  17. Niszczota, Paweł & Abbas, Sami, 2023. "GPT has become financially literate: Insights from financial literacy tests of GPT and a preliminary test of how people use it as a source of advice," Finance Research Letters, Elsevier, vol. 58(PA).
  18. Zhu, Feng & Zou, Wenbo, 2026. "Generative AI adoption in human creative tasks: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 242(C).
  19. Tanvir Ahmed Khan, 2026. "Can Unbiased Predictive AI Amplify Bias?," Working Paper 1510, Economics Department, Queen's University.
  20. Song, Ziyu & Wu, Shan & Zhou, Yuqin, 2025. "Code like an economist: Analyzing LLMs’ code generation capabilities in economics and finance," Finance Research Letters, Elsevier, vol. 86(PD).
  21. Alekseenko, Iuliia & Dagaev, Dmitry & Paklina, Sofiia & Parshakov, Petr, 2025. "Strategizing with AI: Insights from a beauty contest experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 240(C).
  22. Hui Liang & Jingbo Fan & Yunhan Wang, 2025. "Artificial Intelligence, Technological Innovation, and Employment Transformation for Sustainable Development: Evidence from China," Sustainability, MDPI, vol. 17(9), pages 1-28, April.
  23. Wallusch Jacek, 2023. "Pricing and data science: The tale of two accidentally parallel transitions," Economics and Business Review, Paradigm, vol. 9(2), pages 115-132, April.
  24. Nikolaos Askitas, 2025. "The Behavioral Signature of GenAI in Scientific Communication," CESifo Working Paper Series 12069, CESifo.
  25. Pedro H. Albuquerque & Sophie Albuquerque, 2023. "Social Implications of Technological Disruptions: A Transdisciplinary Cybernetics Science and Occupational Science Perspective," AMSE Working Papers 2313, Aix-Marseille School of Economics, France.
  26. Baptiste Lefort & Eric Benhamou & Jean-Jacques Ohana & David Saltiel & Beatrice Guez, 2024. "Optimizing Performance: How Compact Models Match or Exceed GPT's Classification Capabilities through Fine-Tuning," Papers 2409.11408, arXiv.org.
  27. Yikai Zhao & Jun Nagayasu & Xinyi Geng, 2024. "Measuring Climate Policy Uncertainty with LLMs: New Insights into Corporate Bond Credit Spreads," DSSR Discussion Papers 143, Graduate School of Economics and Management, Tohoku University.
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