Report NEP-BIG-2026-04-13

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:

• Helal, Al Mansor & Hiraki, Ryotaro & Patrinos, Harry Anthony, 2026, "Returns to Education in the United States: A Comparison of OLS and Double Machine Learning Methods," GLO Discussion Paper Series, Global Labor Organization (GLO), number 1733.
• Sylvain K. Assienin & Auguste K. Kouakou & Christian K. Nda & Loukou L. E. Yobouet, 2025, "School Governance and Learner Performance in Sub-Saharan Africa: A Neural Networks Approach," Post-Print, HAL, number hal-05547822, Aug, DOI: 10.5539/ijef.v17n9p90.
• Anne Lundgaard Hansen, 2026, "Validating Large Language Model Annotations," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2026-020, Mar, DOI: 10.17016/FEDS.2026.020.
• Abdelfatah, Omar Sharafeldin Mohamed, 2026, "Machine Learning Approaches for Improving Demand Forecasting Accuracy in Retail Supply Chains," SocArXiv, Center for Open Science, number 4z9be_v1, Apr, DOI: 10.31219/osf.io/4z9be_v1.
• Zhenyu Gao & Wenxi Jiang & Yutong Yan, 2026, "Debiasing LLMs by Fine-tuning," Papers, arXiv.org, number 2604.02921, Apr, revised May 2026.
• Andreas Stoller & Martin Huber, 2026, "Effect of Cigarette Price and Tax Increases on Smoking in Europe: A Difference-in-Differences Study with Double Machine Learning," Papers, arXiv.org, number 2604.05841, Apr.