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Automated Social Science: Language Models as Scientist and Subjects

Citations

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Cited by:

  1. Giuseppe Matera, 2025. "Corporate Earnings Calls and Analyst Beliefs," Papers 2511.15214, arXiv.org, revised Nov 2025.
  2. 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.
  3. 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," Papers 2509.13323, arXiv.org, revised May 2026.
  4. 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.
  5. 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.
  6. 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.
  7. Didisheim, Antoine & Fraschini, Martina & Somoza, Luciano, 2025. "AI’s predictable memory in financial analysis," Economics Letters, Elsevier, vol. 256(C).
  8. Kevin He & Ran Shorrer & Mengjia Xia, 2025. "Human Misperception of Generative-AI Alignment: A Laboratory Experiment," Papers 2502.14708, arXiv.org, revised Apr 2026.
  9. Sukjin Han, 2026. "Mining Causality: AI-Assisted Search for Instrumental Variables," Bristol Economics Discussion Papers 26/833, School of Economics, University of Bristol, UK.
  10. Alexander Erlei, 2025. "From Digital Distrust to Codified Honesty: Experimental Evidence on Generative AI in Credence Goods Markets," Papers 2509.06069, arXiv.org.
  11. John R. Graham & Campbell R. Harvey & Manish Jha, 2026. "CFOs Meet LLMs," Papers 2606.13812, arXiv.org.
  12. Alejandro Lopez-Lira, 2025. "Can Large Language Models Trade? Testing Financial Theories with LLM Agents in Market Simulations," Papers 2504.10789, arXiv.org.
  13. Zarifhonarvar, Ali, 2026. "Generating inflation expectations with large language models," Journal of Monetary Economics, Elsevier, vol. 157(C).
  14. 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.).
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. Felipe A. Csaszar & Harsh Ketkar & Hyunjin Kim, 2024. "Artificial Intelligence and Strategic Decision-Making: Evidence from Entrepreneurs and Investors," Papers 2408.08811, arXiv.org.
  21. 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.
  22. Sugat Chaturvedi & Rochana Chaturvedi, 2025. "Who Gets the Callback? Generative AI and Gender Bias," Papers 2504.21400, arXiv.org.
  23. Sophia Kazinnik & Erik Brynjolfsson, 2025. "AI and the Fed," NBER Working Papers 33998, National Bureau of Economic Research, Inc.
  24. Benjamin S. Manning & John J. Horton, 2025. "General Social Agents," Papers 2508.17407, arXiv.org, revised Mar 2026.
  25. 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.
  26. Nikoleta Anesti & Edward Hill & Andreas Joseph, 2025. "Inflation Attitudes of Large Language Models," Papers 2512.14306, arXiv.org.
  27. 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.
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