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Report NEP-BIG-2026-06-15
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:
- Ansgar Hudde & Shannon Taflinger, 2026, "A Golden Era for Open-Ended Questions? Using LLMs for Text Classification Tasks," ECONtribute Discussion Papers Series, University of Bonn and University of Cologne, Germany, number 416, Jun.
- Saif, Umar & Hasan, Amer & Tahir, Ayesha & Geven, Koen Martijn & Ali, Mohsen & Masood, Aliza & Abdul Rahman, Muhammad & Fazili, Sheena, 2026, "Where Are Pakistan’s Out-of-School Children ? Mapping Accessibility of Schooling Using Satellite Data and Machine Learning Methods with an Application to the 2022 Floods," Policy Research Working Paper Series, The World Bank, number 11341, Mar.
- Zhenshan Chen & Klaus Moeltner & Matthew Mair, 2026, "Recovering Direct Price Effects of Environmental Amenities in Housing Markets: Regression and Causal Machine Learning Model Assessment with Empirical Monte Carlo Simulation," Papers, arXiv.org, number 2606.02795, Jun.
- Ryan Byun & Bennett Fees & Margaret M. Jacobson & Todd B. Walker, 2026, "The Fed's Fine-Tune: Coarse Statements and Predictive Pressers," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2026-029, Apr, DOI: 10.17016/FEDS.2026.029.
- Ajay Kumar Verma & Jul Jon Ramirez General & Yvan Landry Ndzonde Fonkou, 2026, "Deep Learning Forecasting of the U.S. Aggregate Bond Index," Papers, arXiv.org, number 2605.27977, May.