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Report NEP-BIG-2026-07-27
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:
- Veni Arakelia & Guglielmo Maria Caporale & Mirto M. Gasparinatou & Menelaos Karanasos, 2026, "Machine Learning and Liquidity Dynamics in European Stock Markets," CESifo Working Paper Series, CESifo, number 12829.
- Yufei Wu & Daniel Schmierer & Dan Zylberglejd, 2026, "Estimating Supply Incrementality in Two-sided Marketplaces: A Causal Machine Learning Approach," Papers, arXiv.org, number 2606.30999, Jun.
- Aldasoro, Inaki & Hördahl, Peter & Schrimpf, Andreas & Zhu, Sonya, 2025, "Predicting Financial Market Stress with Machine Learning," CEPR Discussion Papers, Centre for Economic Policy Research, number 20439, Jul.
- Dina M Hamed, 2026, "Leveraging Non-traditional Data for Macroeconomic Nowcasting: The Case of Morocco," IMF Working Papers, International Monetary Fund, number 2026/108, Jun.
- Chung, Wanyu & Dai, Duiyi & Elliott, Robert, 2025, "Visual Bias in the Brexit Referendum: A Quantitative Analysis of Newspaper Images," CEPR Discussion Papers, Centre for Economic Policy Research, number 20524, Aug.
- Aiken, Emily & Ashraf, Anik & Blumenstock, Joshua & Guiteras, Raymond & Mobarak, Ahmed, 2025, "Scalable Targeting of Social Protection: When Do Algorithms Out-Perform Surveys and Community Knowledge?," CEPR Discussion Papers, Centre for Economic Policy Research, number 20332, Jun.
- Juhász, Réka & Lane, Nathaniel & Oehlsen, Emily & Perez, Veronica, 2025, "Measuring Industrial Policy: A Text-Based Approach," CEPR Discussion Papers, Centre for Economic Policy Research, number 20333, Jun.
- Kevin Bauer & Andreas Grunewald & Florian Hett & Johanna Jagow & Maximilian Speicher, 2026, "Treatment Targeting by Scaled Behavioral Measurement," CESifo Working Paper Series, CESifo, number 12772.
- Duso, Tomaso & Harrington, Jr, Joseph E. & Kreuzberg, Carl & Sapi, Geza, 2025, "Public Communication and Collusion: New Screening Tools for Competition Authorities," CEPR Discussion Papers, Centre for Economic Policy Research, number 20490, Jul.
- Chi, Ta-Chung & Fan, Ting-Han & Ghigliazza, Raffaele & Giannone, Domenico & Wang, Zixuan (Kevin), 2025, "Macroeconomic Forecasting and Machine Learning," CEPR Discussion Papers, Centre for Economic Policy Research, number 20727, Oct.
- Menéndez, Luis & Montolio, Daniel & Mueller, Hannes & Slataper, Francesco, 2025, "Breaking the Echo Chamber: Social Media Networks and Political Conflict," CEPR Discussion Papers, Centre for Economic Policy Research, number 20559, Aug.
- Englmaier, Florian & Galdón Sánchez, José Enrique & Gil, Ricard & Kaiser, Michael & Strandt, Helene, 2025, "Management Practices and Firm Performance during the Great Recession," CEPR Discussion Papers, Centre for Economic Policy Research, number 20749, Oct.
- Sinha, Rishabh, 2025, "Evaluating predictors of medium-term job growth using machine learning," MPRA Paper, University Library of Munich, Germany, number 128251, Nov.
- Hyung Joo Kim & Dong Hwan Oh, 2026, "Capturing Heterogeneity: Machine Learning Approaches to Implied Volatility Forecasting," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2026-049, Jul, DOI: 10.17016/FEDS.2026.049.
- Garau, Alessio, 2026, "How economics classifies itself: text-based JEL codes and their consistency," MPRA Paper, University Library of Munich, Germany, number 130163, Jul.
- Xiangyu Ma & Mengmi Zhang & Shannon Ang & Minne Chen, 2026, "Tastes without distinction: silicon samples and the synthetic construction of tastes," Papers, arXiv.org, number 2606.30085, Jun, revised Aug 2026.
- Davis, Steven & Hansen, Stephen & Seminario-Amez, Cristhian, 2025, "Macro Shocks and Firm-Level Response Heterogeneity," CEPR Discussion Papers, Centre for Economic Policy Research, number 20358, Jun.