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Machine Learning as a Tool for Hypothesis Generation

Citations

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Cited by:

  1. Felix Chopra & Ingar Haaland, 2023. "Conducting qualitative interviews with AI," CEBI working paper series 23-06, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
  2. Feyzollahi, Maryam & Rafizadeh, Nima, 2025. "The adoption of Large Language Models in economics research," Economics Letters, Elsevier, vol. 250(C).
  3. Nadav Kunievsky & Pedro Pertusi, 2026. "Content vs. Form: What Drives the Writing Score Gap Across Socioeconomic Backgrounds? A Generated Panel Approach," Papers 2601.03469, arXiv.org.
  4. Alsan, Marcella & Campbell, Romaine A. & Leister, Lukas & Ojo, Ayotomiwa, 2025. "Investigator racial diversity and clinical trial participation," Journal of Health Economics, Elsevier, vol. 100(C).
  5. Batuhan Koyuncu & Byeungchun Kwon & Marco Jacopo Lombardi & Fernando Perez-Cruz & Hyun Song Shin, 2026. "Introducing BISTRO: a foundational model for unconditional and conditional forecasting of macroeconomic time series," BIS Working Papers 1337, Bank for International Settlements.
  6. Mohammad Mosaffa & Omid Rafieian & Hema Yoganarasimhan, 2025. "Visual Polarization Measurement Using Counterfactual Image Generation," Papers 2503.10738, arXiv.org.
  7. Graham, Byron & Bonner, Karen, 2024. "The role of institutions in early-stage entrepreneurship: An explainable artificial intelligence approach," Journal of Business Research, Elsevier, vol. 175(C).
  8. Annie Liang, 2025. "Using Machine Learning to Generate, Clarify, and Improve Economic Models," Papers 2508.19136, arXiv.org.
  9. Agrawal, Ajay & McHale, John & Oettl, Alexander, 2024. "Artificial intelligence and scientific discovery: a model of prioritized search," Research Policy, Elsevier, vol. 53(5).
  10. Wu, Yifan & Yuan, Yiming & Song, Xueyin, 2025. "The impact of AI adoption on R&D productivity: Evidence from Chinese pharmaceutical manufacturing industry," Journal of Asian Economics, Elsevier, vol. 97(C).
  11. Ajay K. Agrawal & John McHale & Alexander Oettl, 2026. "AI in Science," NBER Chapters, in: Economics of Science, National Bureau of Economic Research, Inc.
  12. Giuseppe Matera, 2025. "Corporate Earnings Calls and Analyst Beliefs," Papers 2511.15214, arXiv.org, revised Nov 2025.
  13. Felipe A. Csaszar & Harsh Ketkar & Hyunjin Kim, 2024. "Artificial Intelligence and Strategic Decision-Making: Evidence from Entrepreneurs and Investors," Strategy Science, INFORMS, vol. 9(4), pages 322-345, December.
  14. Anjali Adukia & Emileigh Harrison, 2025. "Separation of Church and State Curricula? Examining Public and Religious Private School Textbooks," CESifo Working Paper Series 11965, CESifo.
  15. Albrecht, Disen Huang & Anantharaman, Divya & Zhao, Keyi, 2025. "Is a picture worth a thousand words? Image usage in ESG reports," Accounting, Organizations and Society, Elsevier, vol. 115(C).
  16. Joshua Foster & Fredrik Odegaard, 2025. "Decoding Consumer Preferences Using Attention-Based Language Models," Papers 2507.17564, arXiv.org.
  17. Rainer Michael Rilke & Dirk Sliwka, 2026. "When Algorithms Rate Performance: Do Large Language Models Replicate Human Evaluation Biases?," ECONtribute Discussion Papers Series 384, University of Bonn and University of Cologne, Germany.
  18. Batuhan Koyuncu & Byeungchun Kwon & Marco Jacopo Lombardi & Fernando Perez-Cruz & Hyun Song Shin, 2026. "BISTRO: a general purpose oracle for macroeconomic time series," BIS Quarterly Review, Bank for International Settlements, March.
  19. Ajay Agrawal & John McHale & Alexander Oettl, 2025. "Comment on "Science in the Age of Algorithms"," NBER Chapters, in: The Economics of Transformative AI, National Bureau of Economic Research, Inc.
  20. Nwaobi, Godwin, 2025. "Bridging Climate Finance and Debt Sustainability in Global Vulnerable Countries," MPRA Paper 126894, University Library of Munich, Germany.
  21. Benjamin S. Manning & Kehang Zhu & John J. Horton, 2024. "Automated Social Science: Language Models as Scientist and Subjects," Papers 2404.11794, arXiv.org, revised Apr 2024.
  22. Felipe A. Csaszar & Harsh Ketkar & Hyunjin Kim, 2024. "Artificial Intelligence and Strategic Decision-Making: Evidence from Entrepreneurs and Investors," Papers 2408.08811, arXiv.org.
  23. Jacob Carlson, 2025. "Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach," Papers 2511.01680, arXiv.org, revised May 2026.
  24. Pranjal Rawat, 2024. "A Deep Learning Approach to Heterogeneous Consumer Aesthetics in Fast Fashion," Papers 2405.10498, arXiv.org, revised Apr 2026.
  25. Samuel Chang & Andrew Kennedy & Aaron Leonard & John A. List, 2024. "12 Best Practices for Leveraging Generative AI in Experimental Research," NBER Working Papers 33025, National Bureau of Economic Research, Inc.
  26. Rilke, Rainer & Sliwka, Dirk, 2026. "When Algorithms Rate Performance: Do Large Language Models Replicate Human Evaluation Biases?," IZA Discussion Papers 18371, IZA Network @ LISER.
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