Report NEP-BIG-2025-01-20

This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé issued this report. It is usually issued weekly.

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Other reports in NEP-BIG

The following items were announced in this report:

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Coco, Giuseppe & Monturano, Gianluca & Resce, Giuliano, 2025. "Predicting Delays in Cohesion Infrastructure Projects," Economics & Statistics Discussion Papers esdp25099, University of Molise, Department of Economics.
• Aguilar Rafael, 2024. "Predicción de inflación en Argentina con métodos econométricos clásicos y machine learning," Asociación Argentina de Economía Política: Working Papers 4704, Asociación Argentina de Economía Política.
• 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.
• Koukopoulos, Anastasios & Farmakis, Timoleon & Katiaj, Pavlina & Fraidaki, Katerina & Kavatha, Marina, 2024. "Apple Vision Pro: A Reddit-Based Sentiment Analysis," MPRA Paper 123180, University Library of Munich, Germany.
• Item repec:erg:wpaper:1729 is not listed on IDEAS anymore

• Guhan Sivakumar, 2025. "HMM-LSTM Fusion Model for Economic Forecasting," Papers 2501.02002, arXiv.org.
• Wonseong Kim & Christina Niklaus & Choong Lyol Lee & Siegfried Handschuh, 2025. "DisSim-FinBERT: Text Simplification for Core Message Extraction in Complex Financial Texts," Papers 2501.04959, arXiv.org.
• Li, Chao & Keeley, Alexander Ryota & Takeda, Shutaro & Seki, Daikichi & Managi, Shunsuke, 2024. "Investor’s ESG Tendency Probed by Pre-trained Transformers," MPRA Paper 122756, University Library of Munich, Germany.
• 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.
• Lennart Ante & Aman Saggu, 2025. "Quantifying A Firm's AI Engagement: Constructing Objective, Data-Driven, AI Stock Indices Using 10-K Filings," Papers 2501.01763, arXiv.org.
• 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.
• Aromí J. Daniel & Heymann Daniel, 2024. "Synthetic surveys of monetary policymakers: perceptions, narratives and transparency," Asociación Argentina de Economía Política: Working Papers 4707, Asociación Argentina de Economía Política.
• Leogrande, Angelo & Drago, Carlo & Mallardi, Giulio & Costantiello, Alberto & Magaletti, Nicola, 2024. "Patenting Propensity in Italy: A Machine Learning Approach to Regional Clustering," MPRA Paper 123081, University Library of Munich, Germany.
• 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.
• Galasso, Vincenzo & Nannicini, Tommaso & Nozza, Debora, 2024. "We Need to Talk: Audio Surveys and Information Extraction," IZA Discussion Papers 17488, Institute of Labor Economics (IZA).
• Leek, Lauren Caroline & Bischl, Simeon, 2024. "How Central Bank Independence Shapes Monetary Policy Communication: A Large Language Model Application," SocArXiv yrhka, Center for Open Science.