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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 (Tom Coupe) issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
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, University Library of Munich, Germany, number 124910, May.
- 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, International Network for Economic Research - INFER, number 2025.6.
- Lutfu Sua & Haibo Wang & Jun Huang, 2025, "Deep Learning in Renewable Energy Forecasting: A Cross-Dataset Evaluation of Temporal and Spatial Models," Papers, arXiv.org, number 2505.03109, May.
- Philippe Goulet Coulombe & Massimiliano Marcellino & Dalibor Stevanovic, 2025, "Panel Machine Learning with Mixed-Frequency Data: Monitoring State-Level Fiscal Variables," Working Papers, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, number 25-04, May, revised May 2025.
- Kyungsu Kim, 2025, "Unemployment Dynamics Forecasting with Machine Learning Regression Models," Papers, arXiv.org, number 2505.01933, May.
- Sona Benecka, 2025, "Forecasting Disaggregated Producer Prices: A Fusion of Machine Learning and Econometric Techniques," Working Papers, Czech National Bank, Research and Statistics Department, number 2025/2, Mar.
- Elliot Beck & Michael Wolf, 2025, "Forecasting inflation with the hedged random forest," Working Papers, Swiss National Bank, number 2025-07.
- Philippe Goulet Coulombe & Massimiliano Marcellino & Dalibor Stevanovic, 2025, "Panel Machine Learning with Mixed-Frequency Data: Monitoring State-Level Fiscal Variables," CIRANO Working Papers, CIRANO, number 2025s-15, May.
- 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, Halle Institute for Economic Research (IWH), number 6/2025, DOI: 10.18717/dprpy3-ff77.
- Juan Jos√© Rinc√≥n Brice√±o, 2025, "Colombian economic activity nowcasting: addressing nonlinearities and high dimensionality through machine-learning," Documentos CEDE, Universidad de los Andes, Facultad de Economía, CEDE, number 21388, Jun.
- Fourie, Jurgens & Steenkamp, Daan, 2025, "Forecasting economic downturns in South Africa using leading indicators and machine learning," MPRA Paper, University Library of Munich, Germany, number 124709, May.
- Nurbanu Bursa, 2025, "Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries," Papers, arXiv.org, number 2506.01945, Jun.
- Bachoc, François & Bolte, Jérôme & Boustany, Ryan & Loubes, Jean-Michel, 2025, "When majority rules, minority loses: bias amplification of gradient descent," TSE Working Papers, Toulouse School of Economics (TSE), number 25-1641, May.
- Shovon Sengupta & Tanujit Chakraborty & Sunny Kumar Singh, 2024, "Forecasting CPI inflation under economic policy and geopolitical uncertainties," Post-Print, HAL, number hal-05056934, Sep, DOI: 10.1016/j.ijforecast.2024.08.005.
- Pal, Hemendra, 2023, "The Impact of Russia-Ukraine conflict on Global Commodity Brent Crude Prices," MPRA Paper, University Library of Munich, Germany, number 124770, Aug, revised 02 Oct 2024.
- Jędrzej Maskiewicz & Paweł Sakowski, 2025, "Can Artificial Intelligence Trade the Stock Market?," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2025-14.
- Mohammadhossein Rashidi & Mohammad Modarres, 2025, "Predicting the Price of Gold in the Financial Markets Using Hybrid Models," Papers, arXiv.org, number 2505.01402, May.
- Lisa Bruttel & Friedericke Fromme & Vasilisa Werner, 2025, "Suspicion and Communication," CEPA Discussion Papers, Center for Economic Policy Analysis, number 86, Apr, DOI: 10.25932/publishup-67867.
- 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, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), number 1/2024, Oct.
- 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, Athens University of Economics and Business, number 2538, May.
- Alessandro Fedele & Mirco Tonin & Daniel Wiesen, 2025, "Self-selection into Health Professions," BEMPS - Bozen Economics & Management Paper Series, Faculty of Economics and Management at the Free University of Bozen, number BEMPS115, May.
- Qiang Chen & Tianyang Han & Jin Li & Ye Luo & Zigan Wang & Yuxiao Wu & Xiaowei Zhang & Tuo Zhou, 2025, "Can AI Master Econometrics? Evidence from Econometrics AI Agent on Expert-Level Tasks," Papers, arXiv.org, number 2506.00856, Jun, revised Jan 2026.
- Ek, Simon, 2025, "Worker specialization and the consequences of occupational decline," Working Paper Series, IFAU - Institute for Evaluation of Labour Market and Education Policy, number 2025:7, May.