Report NEP-CMP-2026-02-09

This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stanley Miles issued this report. It is usually issued weekly.

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Other reports in NEP-CMP

The following items were announced in this report:

• Ivona Serafimovska & Bojan Kitanovikj & Filip Peovski, 2025, "A Bibliometric Insight To Machine Learning Applications For Decision-Making," Proceedings of the 5th International Conference "Economic and Business Trends Shaping the Future" 2024, Faculty of Economics-Skopje, Ss Cyril and Methodius University in Skopje, number 015, Dec.
• Pietro Bini & Lin William Cong & Xing Huang & Lawrence J. Jin, 2026, "Behavioral Economics of AI: LLM Biases and Corrections," NBER Working Papers, National Bureau of Economic Research, Inc, number 34745, Jan.
• Kim Christensen & Mathias Siggaard & Bezirgen Veliyev, 2026, "A machine learning approach to volatility forecasting," Papers, arXiv.org, number 2601.13014, Jan.
• Leland D. Crane & Xiaoyu Ge & Flora Haberkorn & Rithika Iyengar & Seung Jung Lee & Viviana Luccioli & Ryan Panley & Nitish R. Sinha, 2025, "LLM on a Budget: Active Knowledge Distillation for Efficient Classification of Large Text Corpora," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2025-108, Dec, DOI: 10.17016/FEDS.2025.108.
• Wayne Gao & Sukjin Han & Annie Liang, 2026, "How Well Do LLMs Predict Human Behavior? A Measure of their Pretrained Knowledge," Papers, arXiv.org, number 2601.12343, Jan.
• Goodall, Leonardo Sebastian & Törnberg, Petter & Ebner, Julia & Mosleh, Mohsen & Whitehouse, Harvey, 2026, "Artificial intelligence for intelligence analysis," SocArXiv, Center for Open Science, number 3ytzr_v1, Feb, DOI: 10.31219/osf.io/3ytzr_v1.
• George Awiakye-Marfo & Elijah Agbosu & Victoria Mawuena Barns & Samuel Asante Gyamerah, 2026, "Brownian ReLU(Br-ReLU): A New Activation Function for a Long-Short Term Memory (LSTM) Network," Papers, arXiv.org, number 2601.16446, Jan.
• Paker, Meredith & Stephenson, Judy & Wallis, Patrick, 2025, "Predictive modeling the past," Economic History Working Papers, London School of Economics and Political Science, Department of Economic History, number 128852, Jun.
• Joshua S. Gans, 2026, "Optimal Use of Preferences in Artificial Intelligence Algorithms," Papers, arXiv.org, number 2601.18732, Jan.
• Muhammad Abro & Hassan Jaleel, 2026, "Regret-Driven Portfolios: LLM-Guided Smart Clustering for Optimal Allocation," Papers, arXiv.org, number 2601.17021, Jan.
• Snezana Ristevska-Jovanovska & Ivona Serafimovska & Irena Bogoevska-Gavrilova, 2025, "Mapping Research On Ai And Consumer Purchase Intention: Bibliometric Insights (2009–2025)," Proceedings of the 5th International Conference "Economic and Business Trends Shaping the Future" 2024, Faculty of Economics-Skopje, Ss Cyril and Methodius University in Skopje, number 035, Dec.
• Eric Vansteenberghe, 2026, "Quantitative Methods in Finance," Papers, arXiv.org, number 2601.12896, Jan.
• Mahmoud Arbouch & Eduardo Amaral Haddad, 2025, "The spatial (interprovincial) computable general equilibrium model for Morocco: theoretical specification and current developments," Research papers & Policy papers on Economic Trends and Policies, Policy Center for the New South, number 2525, Dec.
• Brown, Tarnell, 2026, "Mechanism Design for Harm Reduction: Game Theory and Social Choice for Carceral MOUD and Recovery Housing," SocArXiv, Center for Open Science, number wrkj3_v1, Feb, DOI: 10.31219/osf.io/wrkj3_v1.