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Report NEP-BIG-2026-08-17
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:
- Alice Treesa M & Dr. Arpita Choudhary, 2026, "Comparative Study of Machine Learning and Deep Learning Models for Short-Term Energy Consumption Prediction," Working Papers, Madras School of Economics,Chennai,India, number 2026-301, May.
- Abdukakhkhor Abdurakhmonov, 2026, "Macroeconomic Forecasting Using Machine Learning Methods: An Application to Uzbekistan," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 19-2026, Aug.
- Lönn, Gabriel Elias & Schutte, Sebastian, 2026, "rapidcodeR: Fast, Easy, and Affordable Data Coding with LLMs," SocArXiv, Center for Open Science, number q4zd8_v1, Jul, DOI: 10.31235/osf.io/q4zd8_v1.
- Rauh, C., 2026, "Text-Based Measurement of Regional Economic Information," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2657, Jun.
- Araujo, Douglas & Bokan, Nikola & Comazzi, Fabio & Lenza, Michele, 2024, "Word2Prices: Embedding Central Bank Communications for Inflation Prediction," CEPR Discussion Papers, Centre for Economic Policy Research, number 19784, Dec.
- Fernández-Villaverde, Jesús & Nuño, Galo & Perla, Jesse, 2024, "Taming the Curse of Dimensionality: Quantitative Economics with Deep Learning," CEPR Discussion Papers, Centre for Economic Policy Research, number 19636, Nov.
- Junyu Chen & Tom Boot & Lingwei Kong & Weining Wang, 2026, "Transformer-based CoVaR: Systemic Risk in Textual Information," Bristol Economics Discussion Papers, School of Economics, University of Bristol, UK, number 26/840, 01.
- Kellner, Domenic & Lang, Jan Hannes & Rusnák, Marek & Nagy, Lukas Joseph, 2026, "A SPOT in the dark: using AI to assess financial stability risks," Working Paper Series, European Central Bank, number 3262, Jul.
- Prashanth BS & Manoj Kumar & Ariful Hoque & Nasser Al Muraqab & Immanuel Azaad Moonesar & Udo Christian Braendle & Ananth Rao, 2026, "Prediction of bank transaction fraud using TabNet an adaptive deep learning architecture," Papers, arXiv.org, number 2607.18616, Jul.
- Luc Hazenoot & Zhaochun Ren & Amirhossein Zohrehvand, 2026, "Measuring Concept Content in Text from LLM Activations: ESG Evidence from Concept Vectors and Linear Probes," Papers, arXiv.org, number 2608.07208, Aug.
- Galasso, Vincenzo & Nannicini, Tommaso & Nozza, Debora, 2024, "We Need to Talk: Audio Surveys and Information Extraction," CEPR Discussion Papers, Centre for Economic Policy Research, number 19749, Dec.
- Braghieri, Luca & Eichmeyer, Sarah & Levy, Ro'ee & Mobius, Markus & Steinhardt, Jacob & Zhong, Ruiqi, 2024, "Article-level Slant and Polarization of News Consumption on Social Media," CEPR Discussion Papers, Centre for Economic Policy Research, number 19807, Dec.
- De Fiore, Fiorella & Maurin, Alexis & Mijakovic, Andrej & Sandri, Damiano, 2024, "Monetary Policy in the News: Communication Pass-Through and Inflation Expectations," CEPR Discussion Papers, Centre for Economic Policy Research, number 19748, Dec.
- Tamkin Nuriyev & Aygun Garayeva & Gulzar Tahirova, 2026, "Construction and Forecasting of the Imported Food Price Index in Azerbaijan," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 20-2026, Aug.