Report NEP-CMP-2025-12-22

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:

• Juan C. King & Jose M. Amigo, 2025, "Integration of LSTM Networks in Random Forest Algorithms for Stock Market Trading Predictions," Papers, arXiv.org, number 2512.02036, Nov.
• Zhaoji Tang, 2025, "New Approximation Results and Optimal Estimation for Fully Connected Deep Neural Networks," Papers, arXiv.org, number 2512.09853, Dec.
• Levin Hornischer & Zoi Terzopoulou, 2025, "Learning How to Vote with Principles: Axiomatic Insights Into the Collective Decisions of Neural Networks," Post-Print, HAL, number hal-05395413, Aug, DOI: 10.1613/jair.1.18890.
• Swati Sachan & Theo Miller & Mai Phuong Nguyen, 2025, "Responsible LLM Deployment for High-Stake Decisions by Decentralized Technologies and Human-AI Interactions," Papers, arXiv.org, number 2512.04108, Nov.
• Stevens, Alexander & Okrent, Abigail M. & Mancino, Lisa, 2024, "Imputing Measures of Diet Quality Using Circana Scanner Data and Machine Learning," 2024 Annual Meeting, July 28-30, New Orleans, LA, Agricultural and Applied Economics Association, number 343997, DOI: 10.22004/ag.econ.343997.
• Loreta Isaraj, 2025, "Automated data extraction from unstructured text using LLMs: A scalable workflow for Stata users," Italian Stata Users' Group Meetings 2025, Stata Users Group, number 13, Oct.
• Sheresheva, M.Y., 2025, "The Elaboration of the Patent Processing Instrument Based on Machine Learning Technology," GATR Journals, Global Academy of Training and Research (GATR) Enterprise, number jber267, Dec, DOI: https://doi.org/10.35609/jber.2025..
• Arieda Muc{c}o, 2025, "Measuring Corruption from Text Data," Papers, arXiv.org, number 2512.09652, Dec.
• Zheng, Maoyong & Escalante, Cesar L., 2024, "Exploring USDA-FSA Farm Lending Patterns: Machine Learning-Based Models for Understanding the Impact of Borrower attributes on Loan Purposes," 2024 Annual Meeting, July 28-30, New Orleans, LA, Agricultural and Applied Economics Association, number 343857, DOI: 10.22004/ag.econ.343857.
• Mohammad Rezoanul Hoque & Md Meftahul Ferdaus & M. Kabir Hassan, 2025, "Reinforcement Learning in Financial Decision Making: A Systematic Review of Performance, Challenges, and Implementation Strategies," Papers, arXiv.org, number 2512.10913, Dec.
• Arief Rahman, 2025, "Projecting Entropy of University Culture Dissemination Using the Axelrod Model," GATR Journals, Global Academy of Training and Research (GATR) Enterprise, number jmmr355, Dec, DOI: https://doi.org/10.35609/jmmr.2025..
• Slonimczyk, Fabian, 2025, "This Candidate is [MASK]. Prompt-based Sentiment Extraction and Reference Letters," MPRA Paper, University Library of Munich, Germany, number 126675, Oct.
• César Anzola Bravo & Paola Poveda, 2025, "Forecasting Disaggregated Food Inflation Baskets in Colombia with an XGBoost Model," Borradores de Economia, Banco de la Republica de Colombia, number 1335, Dec, DOI: 10.32468/be.1335.
• Paul Glasserman & Siddharth Hemant Karmarkar, 2025, "Differential ML with a Difference," Papers, arXiv.org, number 2512.05301, Dec.
• Andrzej Tokajuk & Jaros{l}aw A. Chudziak, 2025, "Partial multivariate transformer as a tool for cryptocurrencies time series prediction," Papers, arXiv.org, number 2512.04099, Nov.
• Tetsuya Takaishi, 2025, "Volatility time series modeling by single-qubit quantum circuit learning," Papers, arXiv.org, number 2512.10584, Dec.
• W Bentley MacLeod, 2025, "The Economics of Professional Decision-Making: Can Artificial Intelligence Reduce Decision Uncertainty?," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University, number 2475, Dec.
• Yuichi IKEDA & Hideaki AOYAMA & Tetsuo HATSUDA & Tomoyuki SHIRAI & Taro HASUI & Yoshimasa HIDAKA & Krongtum SANKAEWTONG & Hiroshi IYETOMI & Yuta YARAI & Abhijit CHAKRABORTY & Yasushi NAKAYAMA & Akihir, 2025, "Artificial Intelligence for Detecting Price Surges Based on Network Features of Crypto Asset Transactions," Discussion papers, Research Institute of Economy, Trade and Industry (RIETI), number 25113, Dec.
• Carlo Drago, 2025, "Text mining and hierarchical clustering in Stata: An applied approach for real-time policy monitoring, forecasting, and literature mapping," Italian Stata Users' Group Meetings 2025, Stata Users Group, number 14, Oct.