Report NEP-BIG-2025-06-09

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:

• Antonicelli, Margareth & Drago, Carlo & Costantiello, Alberto & Leogrande, Angelo, 2025. "Analyzing Income Inequalities across Italian regions: Instrumental Variable Panel Data, K-Means Clustering and Machine Learning Algorithms," MPRA Paper 124910, University Library of Munich, Germany.
• Nikolaos Giannakis & Periklis Gogas & Theophilos Papadimitriou & Jamel Saadaoui & Emmanouil Sofianos, 2025. "Do International Reserve Holdings Still Predict Economic Crises? Insights from Recent Machine Learning Techniques," Working Papers 2025.6, International Network for Economic Research - INFER.
• Lutfu Sua & Haibo Wang & Jun Huang, 2025. "Deep Learning in Renewable Energy Forecasting: A Cross-Dataset Evaluation of Temporal and Spatial Models," Papers 2505.03109, arXiv.org.
• Philippe Goulet Coulombe & Massimiliano Marcellino & Dalibor Stevanovic, 2025. "Panel Machine Learning with Mixed-Frequency Data: Monitoring State-Level Fiscal Variables," Working Papers 25-04, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised May 2025.
• Kyungsu Kim, 2025. "Unemployment Dynamics Forecasting with Machine Learning Regression Models," Papers 2505.01933, arXiv.org.
• Sona Benecka, 2025. "Forecasting Disaggregated Producer Prices: A Fusion of Machine Learning and Econometric Techniques," Working Papers 2025/2, Czech National Bank, Research and Statistics Department.
• Elliot Beck & Michael Wolf, 2025. "Forecasting inflation with the hedged random forest," Working Papers 2025-07, Swiss National Bank.
• Philippe Goulet Coulombe & Massimiliano Marcellino & Dalibor Stevanovic, 2025. "Panel Machine Learning with Mixed-Frequency Data: Monitoring State-Level Fiscal Variables," CIRANO Working Papers 2025s-15, CIRANO.
• Heinisch, Katja & Scaramella, Fabio & Schult, Christoph, 2025. "Assumption errors and forecast accuracy: A partial linear instrumental variable and double machine learning approach," IWH Discussion Papers 6/2025, Halle Institute for Economic Research (IWH).
• Juan Jos√© Rinc√≥n Brice√±o, 2025. "Colombian economic activity nowcasting: addressing nonlinearities and high dimensionality through machine-learning," Documentos CEDE 21388, Universidad de los Andes, Facultad de Economía, CEDE.
• Fourie, Jurgens & Steenkamp, Daan, 2025. "Forecasting economic downturns in South Africa using leading indicators and machine learning," MPRA Paper 124709, University Library of Munich, Germany.
• Nurbanu Bursa, 2025. "Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries," Papers 2506.01945, arXiv.org.
• Bachoc, François & Bolte, Jérôme & Boustany, Ryan & Loubes, Jean-Michel, 2025. "When majority rules, minority loses: bias amplification of gradient descent," TSE Working Papers 25-1641, Toulouse School of Economics (TSE).
• Shovon Sengupta & Tanujit Chakraborty & Sunny Kumar Singh, 2024. "Forecasting CPI inflation under economic policy and geopolitical uncertainties," Post-Print hal-05056934, HAL.
• Pal, Hemendra, 2023. "The Impact of Russia-Ukraine conflict on Global Commodity Brent Crude Prices," MPRA Paper 124770, University Library of Munich, Germany, revised 02 Oct 2024.
• Jędrzej Maskiewicz & Paweł Sakowski, 2025. "Can Artificial Intelligence Trade the Stock Market?," Working Papers 2025-14, Faculty of Economic Sciences, University of Warsaw.
• Mohammadhossein Rashidi & Mohammad Modarres, 2025. "Predicting the Price of Gold in the Financial Markets Using Hybrid Models," Papers 2505.01402, arXiv.org.
• Lisa Bruttel & Friedericke Fromme & Vasilisa Werner, 2025. "Suspicion and Communication," CEPA Discussion Papers 86, Center for Economic Policy Analysis.
• Rahil Dejkam & Reinhard Madlener, 2024. "Machine-Learning-Enhanced Measuring of Multidimensional Energy Poverty: Insights from a Pilot Survey in Portugal and Denmark," FCN Working Papers 1/2024, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
• Phoebe Koundouri & Kostas Dellis & Monika Mavragani & Angelos Plataniotis & Georgios Feretzakis, 2025. "Do SDGs Support Human Security? A Machine Learning Analysis with Policy Recommendations," DEOS Working Papers 2538, Athens University of Economics and Business.
• Alessandro Fedele & Mirco Tonin & Daniel Wiesen, 2025. "Self-selection into Health Professions," BEMPS - Bozen Economics & Management Paper Series BEMPS115, Faculty of Economics and Management at the Free University of Bozen.
• Qiang Chen & Tianyang Han & Jin Li & Ye Luo & Yuxiao Wu & Xiaowei Zhang & Tuo Zhou, 2025. "Can AI Master Econometrics? Evidence from Econometrics AI Agent on Expert-Level Tasks," Papers 2506.00856, arXiv.org, revised Jun 2025.
• Ek, Simon, 2025. "Worker specialization and the consequences of occupational decline," Working Paper Series 2025:7, IFAU - Institute for Evaluation of Labour Market and Education Policy.