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Automated Social Science: Language Models as Scientist and Subjects

Citations

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Cited by:

  1. Adrian Hillenbrand & Hans-Theo Normann & Matthias Potarca & Tobias Werner, 2026. "Rule-Based Pricing Algorithms and Market Outcomes: An Experimental Study," Papers 2609.26861, arXiv.org.
  2. Kevin He & Ran Shorrer & Mengjia Xia, 2025. "Human Misperception of Generative-AI Alignment: A Laboratory Experiment," Papers 2502.14708, arXiv.org, revised Apr 2026.
  3. Leland D. Crane & Akhil Karra & Paul E. Soto, 2025. "Total Recall? Evaluating the Macroeconomic Knowledge of Large Language Models," Finance and Economics Discussion Series 2025-044, Board of Governors of the Federal Reserve System (U.S.).
  4. 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.
  5. Alejandro Lopez-Lira & Yuehua Tang & Mingyin Zhu, 2025. "The Memorization Problem: Can We Trust LLMs' Economic Forecasts?," Papers 2504.14765, arXiv.org, revised Dec 2025.
  6. Sophia Kazinnik & Tara M. Sinclair, 2025. "FOMC In Silico: A Multi-Agent System for Monetary Policy Decision Modeling," Working Papers 2025-005, The George Washington University, The Center for Economic Research.
  7. John R. Graham & Campbell R. Harvey & Manish Jha, 2026. "CFOs Meet LLMs," Papers 2606.13812, arXiv.org, revised Sep 2026.
  8. Gonzalo Ballestero & Hadi Hosseini & Samarth Khanna & Ran I. Shorrer, 2026. "Strategic Algorithmic Monoculture: Experimental Evidence from Coordination Games," Papers 2604.09502, arXiv.org, revised Apr 2026.
  9. Giuseppe Matera, 2025. "Corporate Earnings Calls and Analyst Beliefs," Papers 2511.15214, arXiv.org, revised Nov 2025.
  10. Didisheim, Antoine & Fraschini, Martina & Somoza, Luciano, 2025. "AI’s predictable memory in financial analysis," Economics Letters, Elsevier, vol. 256(C).
  11. Jian-Qiao Zhu & Haijiang Yan & Thomas L. Griffiths, 2024. "Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice," Papers 2405.19313, arXiv.org, revised May 2025.
  12. Felipe A. Csaszar & Harsh Ketkar & Hyunjin Kim, 2024. "Artificial Intelligence and Strategic Decision-Making: Evidence from Entrepreneurs and Investors," Papers 2408.08811, arXiv.org.
  13. Wayne Gao & Sukjin Han & Annie Liang, 2026. "How Well Do LLMs Predict Human Behavior? A Measure of their Pretrained Knowledge," Bristol Economics Discussion Papers 26/835, School of Economics, University of Bristol, UK.
  14. Michele Zampa, 2026. "Following the Crowd: Literature Support and the Capabilities of Autonomous Research Agents," IHEID Working Papers 14-2026, Economics Section, The Graduate Institute of International Studies.
  15. Wayne Gao & Sukjin Han & Annie Liang, 2026. "How Well Do LLMs Predict Human Behavior? A Measure of their Pretrained Knowledge," Papers 2601.12343, arXiv.org.
  16. Matthew O. Jackson & Benjamin S. Manning & Yutong Xie & Walter Yuan & Qiaozhu Mei, 2026. "Modeling Human Behavior with Type Vectors Using AI," Papers 2608.18265, arXiv.org, revised Sep 2026.
  17. Nikoleta Anesti & Edward Hill & Andreas Joseph, 2026. "Inflation attitudes of large language models," Bank of England Staff Working Paper series 1190, Bank of England.
  18. Benjamin S. Manning & John J. Horton, 2025. "General Social Agents," Papers 2508.17407, arXiv.org, revised Mar 2026.
  19. 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.
  20. So Kuroki & Yingtao Tian & Kou Misaki & Takashi Ikegami & Takuya Akiba & Yujin Tang, 2025. "Shachi: A Modular, Controllable Framework for LLM-Based Agent-Based Modeling of Emergent Collective Behavior," Papers 2509.21862, arXiv.org, revised Jun 2026.
  21. Alejandro Lopez-Lira, 2025. "Can Large Language Models Trade? Testing Financial Theories with LLM Agents in Market Simulations," Papers 2504.10789, arXiv.org.
  22. Sugat Chaturvedi & Rochana Chaturvedi, 2025. "Who Gets the Callback? Generative AI and Gender Bias," Papers 2504.21400, arXiv.org.
  23. Sukjin Han, 2026. "Mining Causality: AI-Assisted Search for Instrumental Variables," Bristol Economics Discussion Papers 26/833, School of Economics, University of Bristol, UK.
  24. Jieshu Wang & Andrew Maynard, 2025. "Gender disparity in U.S. patenting," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-26, December.
  25. Zarifhonarvar, Ali, 2026. "Generating inflation expectations with large language models," Journal of Monetary Economics, Elsevier, vol. 157(C).
  26. Matthew O. Jackson & Qiaozhu Me & Stephanie W. Wang & Yutong Xie & Walter Yuan & Seth Benzell & Erik Brynjolfsson & Colin F. Camerer & James Evans & Brian Jabarian & Jon Kleinberg & Juanjuan Meng & Se, 2025. "AI Behavioral Science: A Framework and Agenda," Papers 2509.13323, arXiv.org, revised Oct 2026.
  27. Sophia Kazinnik & Erik Brynjolfsson, 2025. "AI and the Fed," NBER Working Papers 33998, National Bureau of Economic Research, Inc.
  28. Teppo Felin & Matthias Holweg, 2024. "Theory Is All You Need: AI, Human Cognition, and Causal Reasoning," Strategy Science, INFORMS, vol. 9(4), pages 346-371, December.
  29. Alexander Erlei, 2025. "From Digital Distrust to Codified Honesty: Experimental Evidence on Generative AI in Credence Goods Markets," Papers 2509.06069, arXiv.org.
  30. 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.
  31. Nikoleta Anesti & Edward Hill & Andreas Joseph, 2025. "Inflation Attitudes of Large Language Models," Papers 2512.14306, arXiv.org.
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