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. 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:

• Item repec:pra:mprapa:122734 is not listed on IDEAS anymore

• Abramson, Corey & Li, Zhuofan, 2024, "Ethnography and Machine Learning: Synergies and New Directions," OSF Preprints, Center for Open Science, number jvpbw, Dec, DOI: 10.31219/osf.io/jvpbw.
• 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, University Library of Munich, Germany, number 122899, Oct.
• Dyakonova, Ludmila & Konstantinov, Alexey, 2024, "Approaches to risk analysis in the financial sector based on machine learning and artificial intelligence methods," MPRA Paper, University Library of Munich, Germany, number 122941, Dec.
• Jairo Flores & Bruno Gonzaga & Walter Ruelas-Huanca & Juan Tang, 2024, "Nowcasting Peruvian GDP with Machine Learning Methods," Working Papers, Banco Central de Reserva del Perú, number 2024-019, Dec.
• 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, Asociación Argentina de Economía Política, number 4701, Nov.
• Caravaggio, Nicola & Resce, Giuliano & Idola Francesca, Spanò, 2024, "Is Local Taxation Predictable? A Machine Learning Approach," Economics & Statistics Discussion Papers, University of Molise, Department of Economics, number esdp24098, Sep.
• 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, University Library of Munich, Germany, number 122757, Nov.
• Hota, Ashish, 2024, "Next-Gen Dynamic and Deal-Based Pricing Strategy in Automotive and Financial Services," OSF Preprints, Center for Open Science, number emgpv, Nov, DOI: 10.31219/osf.io/emgpv.
• 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, Monash University, Department of Econometrics and Business Statistics, number 7/24.
• Kamlakshya, Tikhnadhi, 2024, "Leveraging AI to Improve Eligibility Verification and Fraud Detection in Health and Human Services Agencies (Public Sector)," OSF Preprints, Center for Open Science, number x8e9v, Dec, DOI: 10.31219/osf.io/x8e9v.
• Bruno Deffains & Frédéric Marty, 2025, "Generative Artificial Intelligence and Revolution of Market for Legal Services," GREDEG Working Papers, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, number 2025-01, Jan.
• Hota, Ashish, 2024, "A Comprehensive Approach to Behavioral Data Analysis and Machine Learning within Unified Systems," OSF Preprints, Center for Open Science, number rjpxs, Dec, DOI: 10.31219/osf.io/rjpxs.
• Polachek, Solomon & Romano, Kenneth & Tonguc, Ozlem, 2024, "Homo-Silicus: Not (Yet) a Good Imitator of Homo Sapiens or Homo Economicus," IZA Discussion Papers, Institute of Labor Economics (IZA), number 17521, Dec.
• Cova, Joshua & Schmitz, Luuk, 2024, "A primer for the use of classifier and generative large language models in social science research," OSF Preprints, Center for Open Science, number r3qng, Dec, DOI: 10.31219/osf.io/r3qng.
• 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, Puey Ungphakorn Institute for Economic Research, number 228, Jan.
• 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, University of St.Gallen, School of Medicine, Chair of Health Economics, Policy and Management, number 2025-01, revised 2025.
• Item repec:iza:izadps:dp17511 is not listed on IDEAS anymore

• Niousha Bagheri & Milad Ghasri & Michael Barlow, 2025, "RUM-NN: A Neural Network Model Compatible with Random Utility Maximisation for Discrete Choice Setups," Papers, arXiv.org, number 2501.05221, Jan.
• Flavio Calvino & Luca Fontanelli, 2024, "AI Users Are Not All Alike: The Characteristics of French Firms Buying and Developing AI," CESifo Working Paper Series, CESifo, number 11466.
• Domenico Delli Gatti & Roberta Terranova & Enrico Maria Turco, 2024, "Industrial Policy in Times of Market Power," CESifo Working Paper Series, CESifo, number 11544.
• Adil Rengim Cetingoz & Charles-Albert Lehalle, 2025, "Synthetic Data for Portfolios: A Throw of the Dice Will Never Abolish Chance," Papers, arXiv.org, number 2501.03993, Jan, revised Apr 2025.
• Buskens, Vincent & Corten, Rense & Przepiorka, Wojtek, 2024, "Behavioral experiments in computational social science," OSF Preprints, Center for Open Science, number 9vm5t, Dec, DOI: 10.31219/osf.io/9vm5t.
• Paul Ghelasi & Florian Ziel, 2025, "A data-driven merit order: Learning a fundamental electricity price model," Papers, arXiv.org, number 2501.02963, Jan, revised Nov 2025.
• Angela C. Lyons & Josephine Kass-Hanna & Deepika Pingali & Aiman Soliman & David Zhu & Yifang Zhang & Alejandro Montoya Castano, 2024, "A Geospatial Analysis of Food Insecurity Among Refugee Households in Lebanon Using Machine Learning Techniques," Working Papers, Economic Research Forum, number 1729, Sep, revised 20 Sep 2024.
• 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, London School of Economics and Political Science, LSE Library, number 126151, Feb.

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. 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: