Report NEP-BIG-2026-07-13

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:

• Wayne Gao & Sukjin Han & Annie Liang, 2026, "How Well Do LLMs Predict Human Behavior? A Measure of their Pretrained Knowledge," Bristol Economics Discussion Papers, School of Economics, University of Bristol, UK, number 26/835, 01.
• Saeed Varasteh Yazdi, 2025, "Cascading Multi-Agent Policy Optimization for Demand Forecasting," Post-Print, HAL, number hal-05656779, Jul, DOI: 10.3390/cmsf2025011018.
• Tobias Lausser & Joao Eduardo Vuolo & Rudi Zagst, 2026, "Data-Driven Duration Management -- Term Structure Forecasting Using Machine Learning," Papers, arXiv.org, number 2606.26815, Jun.
• Antonella Basso & Marco Corazza & Lorenzo Tonon, 2026, "Recurrent Neural Networks for real estate evaluation in the Italian market," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2026: 22.
• Torben S. D. Johansen & Julius Koschnick & Christian Vedel, 2026, "How to deal with machine learning bias in economic history," Working Papers, European Historical Economics Society (EHES), number 0306, Jul.
• Bergh, Andreas & Anzén Ekman, Christina & Moricz, Sara, 2026, "Place Marketing or Civic Information? Classifying Municipal Tweets using Machine Learning," Working Paper Series, Research Institute of Industrial Economics, number 1563, Jun.
• Pedro Salas Rojo, 2026, "Measuring Inequality of Opportunity in Asia and the Pacific," Working Papers, ECINEQ, Society for the Study of Economic Inequality, number 696, Jun.
• Sukjin Han, 2026, "Mining Causality: AI-Assisted Search for Instrumental Variables∗," Bristol Economics Discussion Papers, School of Economics, University of Bristol, UK, number 26/833, 01.
• Tom Gillespie & Ronan Lyons & Hannah Ortega-McCormack, 2026, "Measuring What Markets Price: LLM‐Based Quality Measures and the Energy Efficiency Premium," Trinity Economics Papers, Trinity College Dublin, Department of Economics, number tep1226, Jun, revised Jul 2026.
• Betz, Felix & Bofinger, Peter & Dix, Jonas & Streit, Leonie, 2026, "Identifying Monetary Policy Shocks in Newspapers using GPT," CEPR Discussion Papers, Centre for Economic Policy Research, number 21390, Apr.