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AI in economic research: A guide for students and instructors

Author

Listed:
  • Marc Burri
  • Daniel Kaufmann
  • Nima Ostovan

Abstract

This report documents the use and misuse of generative artificial intelligence in academic economic research and provides guidelines for university students and instructors. It primarily addresses students and instructors in a master’s program in economics; however, the use cases and guidelines may be useful in other fields and academic research in general.

Suggested Citation

  • Marc Burri & Daniel Kaufmann & Nima Ostovan, 2024. "AI in economic research: A guide for students and instructors," IRENE Policy Reports 24-03, IRENE Institute of Economic Research.
  • Handle: RePEc:irn:polrep:24-03
    as

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    File URL: https://www5.unine.ch/RePEc/ftp/irn/pdfs/PR24-03.pdf
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    References listed on IDEAS

    as
    1. Marc Burri, 2023. "Do daily lead texts help nowcasting GDP growth?," IRENE Working Papers 23-02, IRENE Institute of Economic Research.
    2. Anton Korinek, 2023. "Generative AI for Economic Research: Use Cases and Implications for Economists," Journal of Economic Literature, American Economic Association, vol. 61(4), pages 1281-1317, December.
    3. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
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