Report NEP-CMP-2026-08-17

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.

Subscribe to this report: email, RSS, or Mastodon, or Bluesky.

Other reports in NEP-CMP

The following items were announced in this report:

• Xiaohong Chen & Luis Hoderlein & Jonas Lieber, 2026, "Neural Networks in Economics: A Selective Review," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University, number 2539, Jun.
• Fernández-Villaverde, Jesús & Nuño, Galo & Perla, Jesse, 2024, "Taming the Curse of Dimensionality: Quantitative Economics with Deep Learning," CEPR Discussion Papers, Centre for Economic Policy Research, number 19636, Nov.
• Alice Treesa M & Dr. Arpita Choudhary, 2026, "Comparative Study of Machine Learning and Deep Learning Models for Short-Term Energy Consumption Prediction," Working Papers, Madras School of Economics,Chennai,India, number 2026-301, May.
• Ramit Das & Purbita Jana, 2026, "Generalised Geometric Logic: A Logic for Expressing Neural Network Architectures," Working Papers, Madras School of Economics,Chennai,India, number 2026-300, May.
• Domenico Delli Gatti & Andrea Coletta & Aldo Glielmo & Filippo Gusella & Enrico Maria Turco & Alessia Lo Turco, 2026, "Emergent Strategic Behaviour in a Macroeconomic Agent-Based Model with Reinforcement Learning," CESifo Working Paper Series, CESifo, number 12862.
• Geofrey Ntale, 2026, "AI Trading: Evaluating Large Language Models for Technical Market Analysis," Papers, arXiv.org, number 2607.15414, Jul.
• Abdukakhkhor Abdurakhmonov, 2026, "Macroeconomic Forecasting Using Machine Learning Methods: An Application to Uzbekistan," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 19-2026, Aug.
• Andrew Ellis & Michele Piccione & Shengxing Zhang, 2026, "Equilibrium Information Aggregation under Machine Learning," Papers, arXiv.org, number 2607.13670, Jul.
• Junyu Chen & Tom Boot & Lingwei Kong & Weining Wang, 2026, "Transformer-based CoVaR: Systemic Risk in Textual Information," Bristol Economics Discussion Papers, School of Economics, University of Bristol, UK, number 26/840, 01.
• Minyu Shen & Weihua Gu & Junqi Ma & Boqian Song & Li Zhen & Gang Kou, 2026, "Group boarding for airplanes: benchmarking static policies and optimizing dynamic assignment with deep reinforcement learning," Papers, arXiv.org, number 2607.21512, Jul.
• Prashanth BS & Manoj Kumar & Ariful Hoque & Nasser Al Muraqab & Immanuel Azaad Moonesar & Udo Christian Braendle & Ananth Rao, 2026, "Prediction of bank transaction fraud using TabNet an adaptive deep learning architecture," Papers, arXiv.org, number 2607.18616, Jul.
• Rauh, C., 2026, "Text-Based Measurement of Regional Economic Information," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2657, Jun.
• Luc Hazenoot & Zhaochun Ren & Amirhossein Zohrehvand, 2026, "Measuring Concept Content in Text from LLM Activations: ESG Evidence from Concept Vectors and Linear Probes," Papers, arXiv.org, number 2608.07208, Aug.
• Lönn, Gabriel Elias & Schutte, Sebastian, 2026, "rapidcodeR: Fast, Easy, and Affordable Data Coding with LLMs," SocArXiv, Center for Open Science, number q4zd8_v1, Jul, DOI: 10.31235/osf.io/q4zd8_v1.
• Ma, Zhenyao & Liang, Yue & Li, Dongxu, 2025, "Behavior Learning (BL): Learning Hierarchical Optimization Structures from Data," MPRA Paper, University Library of Munich, Germany, number 128277, Sep.
• Kellner, Domenic & Lang, Jan Hannes & Rusnák, Marek & Nagy, Lukas Joseph, 2026, "A SPOT in the dark: using AI to assess financial stability risks," Working Paper Series, European Central Bank, number 3262, Jul.
• Jin-Chuan Duan & Mr. Dimitrios Laliotis & Ms. Wei Sun, 2026, "Assessing Macrofinancial Linkages in China Using a Machine-Learned Parsimonious VAR Model," IMF Working Papers, International Monetary Fund, number 2026/134, Jun.
• Ibhar C. Beramendi Illanes & Ivette Illanes Fajardo, 2025, "Determinantes del empleo informal en Bolivia: Un análisis conjunto de técnicas econométricas tradicionales y métodos de machine learning," Investigación & Desarrollo, Universidad Privada Boliviana, number 1125, DOI: http://10.0.93.73/idupbo.025.2-5e.
• Ulimwengu, John M., 2026, "Large language models as measurement instruments in applied economics: A 10-country public-discourse panel on food and nutrition security in Africa, 2010–2025," IFPRI discussion papers, International Food Policy Research Institute (IFPRI), number 2427, Jun.
• Lagakos, David & Michalopoulos, Stelios & Voth, Hans-Joachim, 2025, "American Life Histories," CEPR Discussion Papers, Centre for Economic Policy Research, number 19885, Jan.
• Dana Golden & Brett Indelicato & Lav R. Varshney & Carlos D. Messina & Suzanne Thornsbury, 2026, "Agentic AI Orchestration of Heterogeneous Economic Models for Rapid, Multi-scenario Analysis of Energy Crises," Papers, arXiv.org, number 2607.23313, Jul.
• Alessio Emanuele Biondo & Mauro Gallegati, 2026, "Inflation as an emergent phenomenon," Papers, arXiv.org, number 2607.07864, Jul.

Report NEP-CMP-2026-08-17

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.

Subscribe to this report: email, RSS, or Mastodon, or Bluesky.

Other reports in NEP-CMP

The following items were announced in this report: