Report NEP-BIG-2024-07-29

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:

• Yoon, Sang-Ha, 2024. "Developing an International Macroeconomic Forecasting Model Based on Big Data," World Economy Brief 24-18, Korea Institute for International Economic Policy.
• Yanqing Yang & Xingcheng Xu & Jinfeng Ge & Yan Xu, 2024. "Machine Learning for Economic Forecasting: An Application to China's GDP Growth," Papers 2407.03595, arXiv.org.
• Sarra Ben Yahia & Jose Angel Garcia Sanchez & Rania Hentati Kaffel, 2024. "Impact of Sentiment analysis on Energy Sector Stock Prices : A FinBERT Approach," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-04629569, HAL.
• Yuhui Jin, 2024. "GraphCNNpred: A stock market indices prediction using a Graph based deep learning system," Papers 2407.03760, arXiv.org, revised Jul 2024.
• Feng, Yuan & Liu, Shuang & Zhang, Man & Jin, Yanhong & Yu, Xiaohua, 2024. "Investigating Factors Influencing Dietary Quality in China: Machine Learning Approaches," 2024 Annual Meeting, July 28-30, New Orleans, LA 343836, Agricultural and Applied Economics Association.
• Zhang, Yuxiang & Liu, Yizao & Sears, James M., 2024. "Using Machine Learning Method to Estimate the Heterogeneous Impacts of the Updated Nutrition Facts Panel," 2024 Annual Meeting, July 28-30, New Orleans, LA 343727, Agricultural and Applied Economics Association.
• Zhao, Jing & Cochrane, Mark & Zhang, Xin & Elmore, Andrew & Lee, Janice & Su, Ye, 2024. "Evolution of Spatial Drivers for Oil Palm Expansion over Time: Insights from Spatiotemporal Data and Machine Learning Models," 2024 Annual Meeting, July 28-30, New Orleans, LA 344016, Agricultural and Applied Economics Association.
• Raeid Saqur, 2024. "What Teaches Robots to Walk, Teaches Them to Trade too -- Regime Adaptive Execution using Informed Data and LLMs," Papers 2406.15508, arXiv.org.
• Zexing Xu & Linjun Zhang & Sitan Yang & Rasoul Etesami & Hanghang Tong & Huan Zhang & Jiawei Han, 2024. "F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data," Papers 2406.16221, arXiv.org.
• Bogdan Oancea, 2024. "Big data in economics," Papers 2406.11913, arXiv.org.
• Felderer, Barbara & Repke, Lydia & Weber, Wiebke & Schweisthal, jonas & Bothmann, Ludwig, 2024. "Predicting the Validity and Reliability of Survey Questions," OSF Preprints hkngd, Center for Open Science.
• Zuzanna Kostecka & Robert 'Slepaczuk, 2024. "Improving Realized LGD Approximation: A Novel Framework with XGBoost for Handling Missing Cash-Flow Data," Papers 2406.17308, arXiv.org.
• Adam Korniejczuk & Robert 'Slepaczuk, 2024. "Statistical arbitrage in multi-pair trading strategy based on graph clustering algorithms in US equities market," Papers 2406.10695, arXiv.org.
• Tianyu Du & Ayush Kanodia & Herman Brunborg & Keyon Vafa & Susan Athey, 2024. "LABOR-LLM: Language-Based Occupational Representations with Large Language Models," Papers 2406.17972, arXiv.org.
• Khudri, Md Mohsan & Hussey, Andrew, 2024. "Breastfeeding and Child Development Outcomes across Early Childhood and Adolescence: Doubly Robust Estimation with Machine Learning," IZA Discussion Papers 17080, Institute of Labor Economics (IZA).
• Brevin Franklin & Emily Silcock & Abhishek Arora & Tom Bryan & Melissa Dell, 2024. "News Deja Vu: Connecting Past and Present with Semantic Search," Papers 2406.15593, arXiv.org.
• Lee, Jacob W. & Elliott, Brendan & Lam, Aaron & Gupta, Neha & Wilson, Norbert L.W. & Collins, Leslie M. & Mainsah, Boyla, 2024. "Tracking Trends in Topics of Agricultural and Applied Economics Discourse over the Last Century Using Natural Language Processing," 2024 Annual Meeting, July 28-30, New Orleans, LA 343814, Agricultural and Applied Economics Association.
• Orson Mengara, 2024. "Trading Devil: Robust backdoor attack via Stochastic investment models and Bayesian approach," Papers 2406.10719, arXiv.org, revised Sep 2024.
• Alexander Quispe & Rodrigo Grijalba, 2024. "Impact of the Availability of ChatGPT on Software Development: A Synthetic Difference in Differences Estimation using GitHub Data," Papers 2406.11046, arXiv.org.
• Feng Xu & Yan Yin & Xinyu Zhang & Tianyuan Liu & Shengyi Jiang & Zongzhang Zhang, 2024. "$\text{Alpha}^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning," Papers 2406.16505, arXiv.org, revised Jun 2024.
• Abhishek Arora & Emily Silcock & Leander Heldring & Melissa Dell, 2024. "Contrastive Entity Coreference and Disambiguation for Historical Texts," Papers 2406.15576, arXiv.org.