Language Models and Cognitive Automation for Economic Research
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Other versions of this item:
- Korinek, Anton, 2023. "Language Models and Cognitive Automation for Economic Research," CEPR Discussion Papers 17923, C.E.P.R. Discussion Papers.
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Cited by:
- Anton Korinek & Donghyun Suh, 2024.
"Scenarios for the Transition to AGI,"
NBER Working Papers
32255, National Bureau of Economic Research, Inc.
- Anton Korinek & Donghyun Suh, 2024. "Scenarios for the Transition to AGI," Papers 2403.12107, arXiv.org.
- Korinek, Anton & Suh, Donghyun, 2024. "Scenarios for the Transition to AGI," CEPR Discussion Papers 18928, C.E.P.R. Discussion Papers.
- Alejandro Lopez-Lira & Yuehua Tang, 2023. "Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models," Papers 2304.07619, arXiv.org, revised Sep 2024.
- Gary Charness & Brian Jabarian & John List, 2023.
"Generation Next: Experimentation with AI,"
Artefactual Field Experiments
00777, The Field Experiments Website.
- Gary Charness & Brian Jabarian & John A. List, 2023. "Generation Next: Experimentation with AI," NBER Working Papers 31679, National Bureau of Economic Research, Inc.
- Yuhao Fu & Nobuyuki Hanaki, 2024. "Do people rely on ChatGPT more than their peers to detect fake news?," ISER Discussion Paper 1233, Institute of Social and Economic Research, Osaka University.
- 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.
- Nir Chemaya & Daniel Martin, 2023. "Perceptions and Detection of AI Use in Manuscript Preparation for Academic Journals," Papers 2311.14720, arXiv.org, revised Jan 2024.
- 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).
- 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.
- 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).
- 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.
- 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).
- Tanvir Ahmed Khan, 2023. "Can Unbiased Predictive AI Amplify Bias?," Working Paper 1510, Economics Department, Queen's University.
- Wallusch Jacek, 2023. "Pricing and data science: The tale of two accidentally parallel transitions," Economics and Business Review, Sciendo, vol. 9(2), pages 115-132, April.
- 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.
More about this item
JEL classification:
- A10 - General Economics and Teaching - - General Economics - - - General
- B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
- J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
- O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
NEP fields
This paper has been announced in the following NEP Reports:- NEP-LMA-2023-03-27 (Labor Markets - Supply, Demand, and Wages)
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