Report NEP-BIG-2024-07-22

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:

• Ayato Kitadai & Sinndy Dayana Rico Lugo & Yudai Tsurusaki & Yusuke Fukasawa & Nariaki Nishino, 2024. "Can AI with High Reasoning Ability Replicate Human-like Decision Making in Economic Experiments?," Papers 2406.11426, arXiv.org.
• Carlo Drago, 2024. "Text mining in economics and health economics using Stata," Italian Stata Users' Group Meetings 2024 10, Stata Users Group.
• Eric AVENEL, 2024. "Convolutional Neural Networks to signal currency crises: from the Asian financial crisis to the Covid crisis," Economics Working Paper Archive (University of Rennes & University of Caen) 2024-02, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
• Ruohan Zhan & Shichao Han & Yuchen Hu & Zhenling Jiang, 2024. "Estimating Treatment Effects under Recommender Interference: A Structured Neural Networks Approach," Papers 2406.14380, arXiv.org, revised Jul 2024.
• Philipp Schwarz & Oliver Schacht & Sven Klaassen & Daniel Grunbaum & Sebastian Imhof & Martin Spindler, 2024. "Management Decisions in Manufacturing using Causal Machine Learning -- To Rework, or not to Rework?," Papers 2406.11308, arXiv.org.
• Martin Huber & Kevin Kloiber & Lukas Laffers, 2024. "Testing identification in mediation and dynamic treatment models," Papers 2406.13826, arXiv.org.
• Yuqi Nie & Yaxuan Kong & Xiaowen Dong & John M. Mulvey & H. Vincent Poor & Qingsong Wen & Stefan Zohren, 2024. "A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges," Papers 2406.11903, arXiv.org.
• Maria José Sousa, "undated". "Artificial Intelligence in Agriculture: Revolutionizing Methods and Practices in Portugal," GEE Papers 180, Gabinete de Estratégia e Estudos, Ministério da Economia.
• Chuqiao Zong & Chaojie Wang & Molei Qin & Lei Feng & Xinrun Wang & Bo An, 2024. "MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading," Papers 2406.14537, arXiv.org.
• Lina Doring & Felix Grumbach & Pascal Reusch, 2024. "Optimizing Sales Forecasts through Automated Integration of Market Indicators," Papers 2406.07564, arXiv.org.
• Rangan Gupta & Qiang Ji & Christian Pierdzioch, 2024. "Climate Policy Uncertainty and Financial Stress: Evidence for China," Working Papers 202428, University of Pretoria, Department of Economics.
• Paulo Barbosa & João Cortes & João Amador, 2024. "Distance to Export: A Machine Learning Approach with Portuguese Firms," GEE Papers 182, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Jul 2024.
• Natalia Roszyk & Robert Ślepaczuk, 2024. "The Hybrid Forecast of S&P 500 Volatility ensembled from VIX, GARCH and LSTM models," Working Papers 2024-13, Faculty of Economic Sciences, University of Warsaw.
• Lukas Gonon & Antoine Jacquier & Ruben Wiedemann, 2024. "Operator Deep Smoothing for Implied Volatility," Papers 2406.11520, arXiv.org, revised Oct 2024.
• Lee, Jinsook & Harvey, Emma & Zhou, Joyce & Garg, Nikhil & Joachims, Thorsten & Kizilcec, René F., 2024. "Algorithms for College Admissions Decision Support: Impacts of Policy Change and Inherent Variability," SocArXiv hds5g, Center for Open Science.
• Liyang Wang & Yu Cheng & Ao Xiang & Jingyu Zhang & Haowei Yang, 2024. "Application of Natural Language Processing in Financial Risk Detection," Papers 2406.09765, arXiv.org, revised Jun 2024.
• Zuzanna Kostecka & Robert Ślepaczuk, 2024. "Improving Realized LGD approximation: A Novel Framework with XGBoost for handling missing cash-flow data," Working Papers 2024-12, Faculty of Economic Sciences, University of Warsaw.
• D'Agostino, Mollie C. & Michael, Cooper E & Ramos, Marilla & Correa-Jullian, Camila, 2024. "A Blueprint for Improving Automated Driving System Safety," Institute of Transportation Studies, Working Paper Series qt46d6d86x, Institute of Transportation Studies, UC Davis.
• Cai, Xiqian & Chen, Shuai & Cheng, Zhengquan, 2024. "The #MeToo Movement and Judges' Gender Gap in Decisions," GLO Discussion Paper Series 1453, Global Labor Organization (GLO).
• Haoren Zhu & Pengfei Zhao & Wilfred Siu Hung NG & Dik Lun Lee, 2024. "Financial Assets Dependency Prediction Utilizing Spatiotemporal Patterns," Papers 2406.11886, arXiv.org.
• Haibo Wang & Lutfu S. Sua & Bahram Alidaee, 2024. "Enhancing supply chain security with automated machine learning," Papers 2406.13166, arXiv.org.
• Rangan Gupta & Christian Pierdzioch & Aviral K. Tiwari, 2024. "Gasoline Prices and Presidential Approval Ratings of the United States," Working Papers 202427, University of Pretoria, Department of Economics.
• Arndt, Sarah, 2024. "Different Newspapers – Different Inflation Perceptions," Working Papers 0748, University of Heidelberg, Department of Economics.