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Large Language Models: An Applied Econometric Framework

Citations

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Cited by:

  1. Borgioli, Stefano & Gallo, Giampiero M. & Ongari, Chiara & Mavillonio, Maria Saveria & Giannetti, Caterina, 2026. "Measuring sentiment news with transformer-based language models," Working Paper Series 3283, European Central Bank.
  2. Feyzollahi, Maryam & Rafizadeh, Nima, 2025. "The adoption of Large Language Models in economics research," Economics Letters, Elsevier, vol. 250(C).
  3. Dalibor Stevanovic, 2026. "Who Saw It Coming? Historical Experience and the 2021 Inflation Forecast Failure," Papers 2604.14467, arXiv.org.
  4. 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.
  5. Hui Chen & Antoine Didisheim & Mohammad & Pourmohammadi & Luciano Somoza & Hanqing Tian, 2025. "A Financial Brain Scan of the LLM," Papers 2508.21285, arXiv.org, revised Feb 2026.
  6. Nikoleta Anesti & Edward Hill & Andreas Joseph, 2026. "Inflation attitudes of large language models," Bank of England Staff Working Paper series 1190, Bank of England.
  7. Slonimczyk, Fabian, 2025. "This Candidate is [MASK]. Prompt-based Sentiment Extraction and Reference Letters," MPRA Paper 126675, University Library of Munich, Germany.
  8. Didisheim, Antoine & Fraschini, Martina & Somoza, Luciano & Tian, Hanqing, 2026. "Is AI reasoning useful in finance?," Finance Research Letters, Elsevier, vol. 97(C).
  9. Ke Wu & Baozhong Yang & Zhenkun Ying & Dexin Zhou, 2025. "Anonymization and Information Loss," Papers 2511.15364, arXiv.org, revised Sep 2026.
  10. Sukjin Han, 2026. "Mining Causality: AI-Assisted Search for Instrumental Variables," Bristol Economics Discussion Papers 26/833, School of Economics, University of Bristol, UK.
  11. Songrun He & Linying Lv & Asaf Manela & Jimmy Wu, 2025. "Chronologically Consistent Large Language Models," Papers 2502.21206, arXiv.org, revised Jul 2025.
  12. Nikolaos Giannellis & Stephen G. Hall & Georgios P. Kouretas & George S. Tavlas & Yongli Wang, 2026. "Macroeconomic and Financial Forecasting in the Aftermath of the Covid Shock: Inflation Forecasting With Large Language Models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 45(5), pages 2115-2121, August.
  13. Hai Lu & Yichen Luo & Luping Yu, 2026. "How Well Do LLMs Perform in Peer Review? Evidence from Finance and Accounting," Papers 2610.18435, arXiv.org.
  14. Anne Lundgaard Hansen, 2026. "Validating Large Language Model Annotations," Finance and Economics Discussion Series 2026-020, Board of Governors of the Federal Reserve System (U.S.).
  15. Songrun He & Linying Lv & Asaf Manela & Jimmy Wu, 2025. "Instruction Tuning Chronologically Consistent Language Models," Papers 2510.11677, arXiv.org, revised Nov 2025.
  16. Hongshen Sun & Juanjuan Zhang, 2025. "From Model Choice to Model Belief: Establishing a New Measure for LLM-Based Research," Papers 2512.23184, arXiv.org.
  17. Alexander Eliseev & Sergei Seleznev, 2026. "Fake Date Tests: Can We Trust In-sample Accuracy of LLMs in Macroeconomic Forecasting?," Bank of Russia Working Paper Series wps167, Bank of Russia.
  18. Alexander Eliseev & Sergei Seleznev, 2026. "Fake Date Tests: Can We Trust In-sample Accuracy of LLMs in Macroeconomic Forecasting?," Papers 2601.07992, arXiv.org, revised Mar 2026.
  19. Herbert Dawid & Philipp Harting & Hankui Wang & Zhongli Wang & Jiachen Yi, 2025. "Agentic Workflows for Economic Research: Design, Implementation, and Evaluation," Papers 2504.09736, arXiv.org, revised Oct 2026.
  20. Giuseppe Matera, 2025. "Corporate Earnings Calls and Analyst Beliefs," Papers 2511.15214, arXiv.org, revised Nov 2025.
  21. Liu Liu & Dan Zhang, 2026. "Tabular Foundation Models for Discrete Choice Estimation," Papers 2607.13314, arXiv.org, revised Jul 2026.
  22. David Broska & Michael Howes, 2026. "Cluster-Robust Prediction-Powered Inference," Papers 2610.09601, arXiv.org.
  23. Didisheim, Antoine & Fraschini, Martina & Somoza, Luciano, 2025. "AI’s predictable memory in financial analysis," Economics Letters, Elsevier, vol. 256(C).
  24. Jeffrey D. Michler & Kieran Douglas & Anna Josephson, 2026. "Mining Meaning: Measurement Error in AI-Assisted Literature Reviews," Papers 2609.27686, arXiv.org.
  25. Zongwu Cai & Ying Fang & Ming Lin & Zeqin Liu, 2026. "From Text to Evidence: LLMs in Economics and Finance," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202618, University of Kansas, Department of Economics, revised Sep 2026.
  26. Augusto Gonzalez-Bonorino & Kseniia Biriukova & Monica Capra, 2026. "Synthetic Cultural Agents from Aggregate Anchors," Papers 2610.06562, arXiv.org.
  27. Kässi, Otto & Lehdonvirta, Vili, 2026. "The Heterogeneous Effects of Data Transfer Restrictions on Data Centre Geography," SocArXiv be5xd_v1, Center for Open Science.
  28. Jianhao Lin & Lexuan Sun & Yixin Yan, 2026. "Tariff Threats, Macroeconomic Expectations, and Policy Communication Strategies: Experiments Based on a Multi-Agent System," Papers 2608.30522, arXiv.org.
  29. Koji Takahashi & Joon Suk Park, 2026. "Generative AI for surveys on payment apps: AI views on privacy and technology," BIS Working Papers 1333, Bank for International Settlements.
  30. Rojas, Christian & Cengiz, Doruk, 2025. "Fifty Years of Industrial Organization in Agricultural Economics: Evidence, Evolution, and Emerging Directions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 50(4), December.
  31. Koji Takahashi & Joon Suk Park, 2025. "Generative AI for Surveys on Payment Apps: AIs' View on Privacy and Technology," IMES Discussion Paper Series 25-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
  32. Mehmet Caner & Agostino Capponi & Nathan Sun & Jonathan Y. Tan, 2026. "Designing Agentic AI-Based Screening for Portfolio Investment," Papers 2603.23300, arXiv.org, revised Aug 2026.
  33. Philippe Goulet Coulombe, 2025. "Ordinary Least Squares as an Attention Mechanism," Papers 2504.09663, arXiv.org, revised Oct 2026.
  34. Tanisa Tawichsri & Suppawong Tuarob & Nuwat Nookhwun & Chinjuta Sangasaeng, 2026. "News-Based Inflation Expectations: LLM-Assisted Measurement and Forecasting," PIER Discussion Papers 252, Puey Ungphakorn Institute for Economic Research, revised Jul 2026.
  35. Nikoleta Anesti & Edward Hill & Andreas Joseph, 2025. "Inflation Attitudes of Large Language Models," Papers 2512.14306, arXiv.org.
  36. Hamid Boustanifar & Sasan Mansouri, 2026. "Same Text, Different Numbers: The Divergence of LLM-Based Measures," Papers 2609.31013, arXiv.org.
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