Report NEP-BIG-2024-05-20

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:

• Francisco de Arriba-P'erez & Silvia Garc'ia-M'endez & Jos'e A. Regueiro-Janeiro & Francisco J. Gonz'alez-Casta~no, 2024. "Detection of financial opportunities in micro-blogging data with a stacked classification system," Papers 2404.07224, arXiv.org.
• Lee, Wang-Sheng & Tran, Trang My, 2024. "Emissions from Military Training: Evidence from Australia," IZA Discussion Papers 16889, Institute of Labor Economics (IZA).
• Leogrande, Angelo, 2024. "Companies with at least 10 Employees Selling Online across the Italian Regions," MPRA Paper 120637, University Library of Munich, Germany.
• Pawanesh & Charu Sharma & Niteesh Sahni, 2024. "Explaining Indian Stock Market through Geometry of Scale free Networks," Papers 2404.04710, arXiv.org, revised Oct 2024.
• Masanori Hirano, 2024. "Experimental Analysis of Deep Hedging Using Artificial Market Simulations for Underlying Asset Simulators," Papers 2404.09462, arXiv.org.
• Thiago C. Silva & Paulo V. B. Wilhelm & Diego R. Amancio, 2024. "Machine learning and economic forecasting: the role of international trade networks," Papers 2404.08712, arXiv.org.
• Beck, Günter W. & Carstensen, Kai & Menz, Jan-Oliver & Schnorrenberger, Richard & Wieland, Elisabeth, 2024. "Nowcasting consumer price inflation using high-frequency scanner data: evidence from Germany," Working Paper Series 2930, European Central Bank.
• Leogrande, Angelo, 2024. "Cultural and Creative Employment Across Italian Regions," SocArXiv h5nq4, Center for Open Science.
• Xu, Yonghong & Su, Bingjie & Pan, Wenjie & Zhou, Peng, 2024. "A High-Frequency Digital Economy Index: Text Analysis and Factor Analysis based on Big Data," Cardiff Economics Working Papers E2024/11, Cardiff University, Cardiff Business School, Economics Section.
• Diego Vallarino, 2024. "Analyzing Economic Convergence Across the Americas: A Survival Analysis Approach to GDP per Capita Trajectories," Papers 2404.04282, arXiv.org.
• Masanori Hirano & Kentaro Imajo, 2024. "Construction of Domain-specified Japanese Large Language Model for Finance through Continual Pre-training," Papers 2404.10555, arXiv.org.
• R. Michael Alvarez & Jacob Morrier, 2024. "Measuring the Quality of Answers in Political Q&As with Large Language Models," Papers 2404.08816, arXiv.org, revised Aug 2024.
• Nisarg Patel & Harmit Shah & Kishan Mewada, 2023. "Enhancing Financial Data Visualization for Investment Decision-Making," Papers 2403.18822, arXiv.org.
• Jordan Vazquez Llana & Cécile Godé & Jean-Fabrice Lebraty, 2022. "Situational awareness in big data environment: Insights from French Police decision makers," Post-Print hal-04525898, HAL.
• Daube, Carl Heinz & Krivenkov, Vladislav, 2024. "Generative AI Tools zur Prognose von Leitzins-Entscheidungen: eine Fallstudie am Beispiel der Leitzinsentscheidungen der Federal Reserve," EconStor Preprints 293992, ZBW - Leibniz Information Centre for Economics.
• Yi Chen & Hanming Fang & Yi Zhao & Zibo Zhao, 2024. "Recovering Overlooked Information in Categorical Variables with LLMs: An Application to Labor Market Mismatch," NBER Working Papers 32327, National Bureau of Economic Research, Inc.
• Benjamin S. Manning & Kehang Zhu & John J. Horton, 2024. "Automated Social Science: Language Models as Scientist and Subjects," Papers 2404.11794, arXiv.org, revised Apr 2024.