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Report NEP-BIG-2026-04-27
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:
- Helal, Al Mansor & Hiraki, Ryotaro & Patrinos, Harry, 2026, "Returns to Education in the United States: A Comparison of OLS and Double Machine Learning Methods," IZA Discussion Papers, IZA Network @ LISER, number 18523, Apr.
- Ramón Talvi Robledo & Christopher Rauh & Ben Seimon & Hannes Mueller & Laura Mayoral, 2026, "Forecasting Forced Displacement Flows Using Machine Learning with Text Data," Working Papers, Barcelona School of Economics, number 1573, Apr.
- Yikuan Huang & Zheqi Fan & Kaiqi Hu & Yifan Ye, 2026, "Cross-Stock Predictability via LLM-Augmented Semantic Networks," Papers, arXiv.org, number 2604.19476, Apr, revised Apr 2026.
- Maxime Saxena & Marco Pangallo & Cars Hommes & Fabio Caccioli & R. Maria del Rio-Chanona, 2026, "Machine Spirits: Speculation and Adaptation of LLM Agents in Asset Markets," Papers, arXiv.org, number 2604.18602, Apr, revised Apr 2026.
- Marina Azzimonti & David Wiczer & Yang Xuan, 2026, "Estimating Demand Shocks from Foot Traffic: A Big-Data Approach," Staff Reports, Federal Reserve Bank of New York, number 1191, Apr, DOI: 10.59576/sr.1191.
- Kevin Michael Frick & Jonas Gathen, 2026, "Estimating Government Worker Skills," Papers, arXiv.org, number 2604.15819, Apr.
- Donggyu Lee & Hyeok Yun & Jungwon Kim & Junsik Min & Sungwon Park & Sangyoon Park & Jihee Kim, 2026, "Ideological Bias in LLMs' Economic Causal Reasoning," Papers, arXiv.org, number 2604.21334, Apr.
- Napiontek, Jakob & Pichler, Peter-Paul, 2026, "SynPop-DE: Synthetic population of 40 million German households using generative neural networks," SocArXiv, Center for Open Science, number zha8v_v1, Apr, DOI: 10.31219/osf.io/zha8v_v1.
- Shuhuai Zhang & Shu Wang & Zijun Yao & Chuanhao Li & Xiaozhi Wang & Songfa Zhong & Tracy Xiao Liu, 2026, "Understanding the Mechanism of Altruism in Large Language Models," Papers, arXiv.org, number 2604.19260, Apr.
- Yonggeun Jung, 2026, "Watching Trade from Space: Nowcasting and Spatial Extrapolation of Port-Level Maritime Trade Using Satellite Imagery," Papers, arXiv.org, number 2604.15444, Apr.
- Polachek, Solomon & Romano, Kenneth & Tonguc, Ozlem, 2026, "Strategic Reasoning and Sensitivity to Stakes in the Dictator and Ultimatum Games: LLMs vs. Human Proposers," IZA Discussion Papers, IZA Network @ LISER, number 18545, Apr.
- Graham Pilgrim & Yann Dorville & Annabelle Mourougane, 2026, "Monitoring global trade by products, using Big Data," OECD Statistics Working Papers, OECD Publishing, number 2026/02, May, DOI: 10.1787/e0447f00-en.
- Santoleri Pietro & Rentocchini Francesco & Lelli Francesco, 2026, "LLM-assisted proposal writing in competitive R&D funding: Evidence from Horizon Europe," JRC Working Papers on Territorial Modelling and Analysis, Joint Research Centre, number 2026-02, Mar.
- Andrés Azqueta-Gavaldón & Marina Diakonova & Corinna Ghirelli & Javier J. Pérez, 2026, "Diverging signals from economic uncertainty measures: Uncovering coherence through news narratives," Working Papers, Banco de España, number 2614, Apr, DOI: https://doi.org/10.53479/43045.
- Nattavudh Powdthavee, 2026, "Large Language Models Outperform Humans in Fraud Detection and Resistance to Motivated Investor Pressure," Papers, arXiv.org, number 2604.20652, Apr, revised Apr 2026.
- Antoine Didisheim & Bryan T. Kelly & Mohammad Pourmohammadi & Hanqing Tian, 2026, "The Inefficient Pricing of News," NBER Working Papers, National Bureau of Economic Research, Inc, number 35093, Apr.
- Shumiao Ouyang & Pengfei Sui, 2026, "Dissecting AI Trading: Behavioral Finance and Market Bubbles," Papers, arXiv.org, number 2604.18373, Apr.
- Sebastian Lehner & Alejandro Lopez-Lira, 2026, "ChatGPT as a Time Capsule: The Limits of Price Discovery," Papers, arXiv.org, number 2604.21433, Apr.
- Shilei Luo & Zhiqi Zhang & Hengchen Dai & Dennis Zhang, 2026, "Behavioral Transfer in AI Agents: Evidence and Privacy Implications," Papers, arXiv.org, number 2604.19925, Apr.
- Spyros Galanis, 2026, "Information Aggregation with AI Agents," Papers, arXiv.org, number 2604.20050, Apr, revised May 2026.
- George Cui & Kailin Gao, 2026, "Information, Social Media and International Trade Theory and Evidence Using Twenty Million Online Postings," IMF Working Papers, International Monetary Fund, number 2026/064, Apr.