Report NEP-CMP-2025-01-20

This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stan 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:

• Challoumis, Constantinos, 2024. "The AI Revolution - Transforming The Monetary Landscape And Job Opportunities," MPRA Paper 122734, University Library of Munich, Germany.
• Abramson, Corey & Li, Zhuofan, 2024. "Ethnography and Machine Learning: Synergies and New Directions," OSF Preprints jvpbw, Center for Open Science.
• Katsafados, Apostolos G. & Leledakis, George N. & Panagiotou, Nikolaos P. & Pyrgiotakis, Emmanouil G., 2024. "Can central bankers’ talk predict bank stock returns? A machine learning approach," MPRA Paper 122899, University Library of Munich, Germany.
• Dyakonova, Ludmila & Konstantinov, Alexey, 2024. "Approaches to risk analysis in the financial sector based on machine learning and artificial intelligence methods," MPRA Paper 122941, University Library of Munich, Germany.
• Jairo Flores & Bruno Gonzaga & Walter Ruelas-Huanca & Juan Tang, 2024. "Nowcasting Peruvian GDP with Machine Learning Methods," Working Papers 2024-019, Banco Central de Reserva del Perú.
• Abbate Nicolás Francisco & Gasparini Leonardo & Ronchetti Franco & Quiroga Facundo, 2024. "High-Resolution Income Estimates Using Satellite Imagery: A Deep Learning Approach applied in Buenos Aires," Asociación Argentina de Economía Política: Working Papers 4701, Asociación Argentina de Economía Política.
• Caravaggio, Nicola & Resce, Giuliano & Idola Francesca, Spanò, 2024. "Is Local Taxation Predictable? A Machine Learning Approach," Economics & Statistics Discussion Papers esdp24098, University of Molise, Department of Economics.
• Li, Chao & Keeley, Alexander Ryota & Takeda, Shutaro & Seki, Daikichi & Managi, Shunsuke, 2024. "ESG Tendencies from News - Investigated by AI Trained by Human Intelligence," MPRA Paper 122757, University Library of Munich, Germany.
• Hota, Ashish, 2024. "Next-Gen Dynamic and Deal-Based Pricing Strategy in Automotive and Financial Services," OSF Preprints emgpv, Center for Open Science.
• Chaohua Dong & Jiti Gao & Bin Peng & Yayi Yan, 2024. "Estimation and Inference for a Class of Generalized Hierarchical Models," Monash Econometrics and Business Statistics Working Papers 7/24, Monash University, Department of Econometrics and Business Statistics.
• Kamlakshya, Tikhnadhi, 2024. "Leveraging AI to Improve Eligibility Verification and Fraud Detection in Health and Human Services Agencies (Public Sector)," OSF Preprints x8e9v, Center for Open Science.
• Bruno Deffains & Frédéric Marty, 2025. "Generative Artificial Intelligence and Revolution of Market for Legal Services," GREDEG Working Papers 2025-01, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
• Hota, Ashish, 2024. "A Comprehensive Approach to Behavioral Data Analysis and Machine Learning within Unified Systems," OSF Preprints rjpxs, Center for Open Science.
• Polachek, Solomon & Romano, Kenneth & Tonguc, Ozlem, 2024. "Homo-Silicus: Not (Yet) a Good Imitator of Homo Sapiens or Homo Economicus," IZA Discussion Papers 17521, Institute of Labor Economics (IZA).
• Cova, Joshua & Schmitz, Luuk, 2024. "A primer for the use of classifier and generative large language models in social science research," OSF Preprints r3qng, Center for Open Science.
• Nuttapol Lertmethaphat & Nuarpear Lekfuangfu & Pucktada Treeratpituk, 2025. "Exploring the Thai Job Market Through the Lens of Natural Language Processing and Machine Learning," PIER Discussion Papers 228, Puey Ungphakorn Institute for Economic Research.
• Vogel, Justus & Cordier, Johannes & Filipovic, Miodrag, 2025. "Causal Effects and Optimal Policy Learning for Intensive Care Unit Discharge Decisions to Solve Hospital Process Bottlenecks: Approach, Methods, and First Results," Working Paper Series in Health Economics, Management and Policy 2025-01, University of St.Gallen, School of Medicine, Chair of Health Economics, Policy and Management.
• Chevalier, Arnaud & Orzech, Jakub & Stankov, Petar, 2024. "Man vs Machine: Can AI Grade and Give Feedback Like a Human?," IZA Discussion Papers 17511, Institute of Labor Economics (IZA).
• Niousha Bagheri & Milad Ghasri & Michael Barlow, 2025. "RUM-NN: A Neural Network Model Compatible with Random Utility Maximisation for Discrete Choice Setups," Papers 2501.05221, arXiv.org.
• Flavio Calvino & Luca Fontanelli, 2024. "AI Users Are Not All Alike: The Characteristics of French Firms Buying and Developing AI," CESifo Working Paper Series 11466, CESifo.
• Domenico Delli Gatti & Roberta Terranova & Enrico Maria Turco, 2024. "Industrial Policy in Times of Market Power," CESifo Working Paper Series 11544, CESifo.
• Adil Rengim Cetingoz & Charles-Albert Lehalle, 2025. "Synthetic Data for Portfolios: A Throw of the Dice Will Never Abolish Chance," Papers 2501.03993, arXiv.org, revised Jan 2025.
• Buskens, Vincent & Corten, Rense & Przepiorka, Wojtek, 2024. "Behavioral experiments in computational social science," OSF Preprints 9vm5t, Center for Open Science.
• Paul Ghelasi & Florian Ziel, 2025. "A data-driven merit order: Learning a fundamental electricity price model," Papers 2501.02963, arXiv.org.
• Item repec:erg:wpaper:1729 is not listed on IDEAS anymore

• Bryzgalova, Svetlana & Huang, Jiantao & Julliard, Christian, 2023. "Bayesian solutions for the factor zoo: we just ran two quadrillion models," LSE Research Online Documents on Economics 126151, London School of Economics and Political Science, LSE Library.