Report NEP-BIG-2024-10-07

This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé 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:

• Ina Ganguli & Jeffrey Lin & Vitaly Meursault & Nicholas F. Reynolds, 2024. "Patent Text and Long-Run Innovation Dynamics: The Critical Role of Model Selection," NBER Working Papers 32934, National Bureau of Economic Research, Inc.
• Prudence Djagba & Callixte Ndizihiwe, 2024. "Pricing American Options using Machine Learning Algorithms," Papers 2409.03204, arXiv.org.
• Abbaszadehpeivasti, Hadi, 2024. "Performance analysis of optimization methods for machine learning," Other publications TiSEM 3050a62d-1a1f-494e-99ef-7, Tilburg University, School of Economics and Management.
• Zhizhuo Kou & Holam Yu & Jingshu Peng & Lei Chen, 2024. "Automate Strategy Finding with LLM in Quant investment," Papers 2409.06289, arXiv.org.
• Huaqing Xie & Xingcheng Xu & Fangjia Yan & Xun Qian & Yanqing Yang, 2024. "Deep Learning for Multi-Country GDP Prediction: A Study of Model Performance and Data Impact," Papers 2409.02551, arXiv.org.
• Meena Jagadeesan & Michael I. Jordan & Jacob Steinhardt, 2024. "Safety vs. Performance: How Multi-Objective Learning Reduces Barriers to Market Entry," Papers 2409.03734, arXiv.org.
• Sushant More & Priya Kotwal & Sujith Chappidi & Dinesh Mandalapu & Chris Khawand, 2024. "Double Machine Learning at Scale to Predict Causal Impact of Customer Actions," Papers 2409.02332, arXiv.org.
• Mengyu Wang & Tiejun Ma, 2024. "MANA-Net: Mitigating Aggregated Sentiment Homogenization with News Weighting for Enhanced Market Prediction," Papers 2409.05698, arXiv.org.
• Margherita Borella & Francisco Bullano & Mariacristina De Nardi & Benjamin Krueger & Elena Manresa, 2024. "Health Inequality and Health Types," Opportunity and Inclusive Growth Institute Working Papers 097, Federal Reserve Bank of Minneapolis.
• Gary Cornwall & Marina Gindelsky, 2024. "Nowcasting Distributional National Accounts for the United States: A Machine Learning Approach," BEA Papers 0130, Bureau of Economic Analysis.
• Guillermo Guzmán Prudencio & Lykke E. Andersen, 2023. "The most attractive municipalities in Bolivia: an analysis with electricity consumption data and satellite images," SDSN Bolivia 06-23, Universidad Privada Boliviana.
• Senst, Benjamin, 2024. "Data mining and NLP for Processing Social Offers of a National Aid Organization," SocArXiv 3pd4s, Center for Open Science.
• Thomas Chalaux & Dave Turner, 2024. "Doombot versus other machine-learning methods for evaluating recession risks in OECD countries," OECD Economics Department Working Papers 1821, OECD Publishing.