Report NEP-BIG-2026-05-25

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.

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Other reports in NEP-BIG

The following items were announced in this report:

• Medha Nag Kommaghatta Girish & Reinhard Madlener, 2026, "Analyzing Carbon Removal Technology Hype Cycles Through Large Language Models," FCN Working Papers, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), number No. 2/2026, Jan.
• Emmanouil Sofianos & Thierry Betti & Theophilos Papadimitriou & Amélie Barbier-Gauchard & Periklis Gogas, 2026, "Using DSGE and Machine Learning to Forecast Public Debt for France," Post-Print, HAL, number hal-05620169, Mar, DOI: 10.1002/for.70144.
• Massimo Giannini, 2026, "Nowcasting Italian Municipal Income with Nightlights: A Deep Learning Approach," Papers, arXiv.org, number 2605.08782, May.
• Firmin Ayivodji & Etienne Briand & Kevin Moran & Dalibor Stevanovic, 2026, "Monetary Policy in the Media Spotlight: Sentiments, Signals, and Economic Impact," Working Papers, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, number 26-03, May.
• Bektemir Ysmailov, 2026, "GenAI-Based Index of Financial Constraints," Working Papers, Nazarbayev University, Graduate School of Business, number 2026/01, Jan.
• Runyao Yu & Julia Lin & Derek W. Bunn & Jochen Stiasny & Wentao Wang & Yujie Chen & Tara Esterl & Peter Palensky & Jochen L. Cremer, 2026, "A Market-Rule-Informed Neural Network for Efficient Imbalance Electricity Price Forecasting," Papers, arXiv.org, number 2605.09061, May.
• Aditya Retnanto & Yohan Iddawela & Elaine Tan, 2026, "Automating Evidence Synthesis: A Comparative Evaluation of Large Language Models for Data Extraction," ADB Economics Working Paper Series, Asian Development Bank, number 845, May.
• Marjan Petreski, 2026, "Pegs, Floats, and Forests: A Machine Learning Revisit of Exchange Rate Regimes and Growth in Transition Economies," Papers, arXiv.org, number 2605.17391, May.
• Omar Abdel Haq & Amitabh Chandra & Tomáš Jagelka & Erzo F.P. Luttmer & Joshua Schwartzstein, 2026, "Revealing Life Preferences Through LLMs," NBER Working Papers, National Bureau of Economic Research, Inc, number 35185, May.
• Francesco A. Fabozzi & Dasol Kim & William N. Goetzmann, 2026, "Beyond Sentiment Classification: A Generative Framework for Emotion Intensity Evaluation in Text," Papers, arXiv.org, number 2605.16613, May.
• Werner, Sven & Trotter, Philipp, 2026, "When development finance spurs entrepreneurship: New evidence from 5 million projects using a machine learning classifier," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 1205, DOI: 10.4419/96973390.