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Report NEP-BIG-2026-08-31
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:
- Himaz, Rozana & Salmanidou, Dimitra & Ghaffarian, Saman, 2026, "Machine Learning for Estimating Catastrophic Health Spending in Disaster-Affected, Data-Scarce Settings," Discussion Papers, Economic Statistics Centre of Excellence, number escoe-dp-2026-05, Mar.
- Alberto M. G. Saruggia & Sebastien Germano, 2026, "Predicting Startup Exit from Textual Descriptors - A Computational Linguistics Framework," Papers, arXiv.org, number 2608.00045, Jul, revised Sep 2026.
- Kwon, Alexander & Maliar, Lilia, 2024, "Predicting Retirement and Social Security Claiming Decisions using Machine Learning," CEPR Discussion Papers, Centre for Economic Policy Research, number 19198, Jul.
- Cho, Rachel & Görtz, Christoph & McGowan, Danny & Schröder, Max, 2025, "Defining Current and Expected Financial Constraints using AI: Reinterpreting the Cash Flow Sensitivity of Cash," Discussion Papers, Economic Statistics Centre of Excellence, number escoe-dp-2025-11, Sep.
- Jeron Tan Kang, 2026, "Yield Curve Prediction with Machine Learning: Forecasting Approaches and the Role of Macroeconomic Predictors," Papers, arXiv.org, number 2608.07536, Jul.
- De Polis, Andrea & Galvão, Ana Beatriz & Petrella, Ivan, 2025, "Tracking Weekly Activity using New Data Sources," Discussion Papers, Economic Statistics Centre of Excellence, number escoe-dp-2025-19, Nov.
- Wagner, Fabian & Metzler, Julian, 2026, "When the Crowd Speaks: AI-based retail investor sentiment indicator with Reddit data," Working Paper Series, European Central Bank, number 3276, Aug.