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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 (Tom Coupe) issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
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, arXiv.org, number 2406.11426, Jun.
- Carlo Drago, 2024, "Text mining in economics and health economics using Stata," Italian Stata Users' Group Meetings 2024, Stata Users Group, number 10, May.
- 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), Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS, number 2024-02, Jun.
- Ruohan Zhan & Shichao Han & Yuchen Hu & Zhenling Jiang, 2024, "Estimating Treatment Effects under Algorithmic Interference: A Structured Neural Networks Approach," Papers, arXiv.org, number 2406.14380, Jun, revised Mar 2026.
- 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, arXiv.org, number 2406.11308, Jun.
- Martin Huber & Kevin Kloiber & Lukas Laffers, 2024, "Testing identification in mediation and dynamic treatment models," Papers, arXiv.org, number 2406.13826, Jun.
- 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, arXiv.org, number 2406.11903, Jun.
- Maria José Sousa, , "Artificial Intelligence in Agriculture: Revolutionizing Methods and Practices in Portugal," GEE Papers, Gabinete de Estratégia e Estudos, Ministério da Economia, number 180.
- 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, arXiv.org, number 2406.14537, Jun.
- Lina Doring & Felix Grumbach & Pascal Reusch, 2024, "Optimizing Sales Forecasts through Automated Integration of Market Indicators," Papers, arXiv.org, number 2406.07564, May.
- Rangan Gupta & Christian Pierdzioch, 2024, "Climate Policy Uncertainty and Financial Stress: Evidence for China," Working Papers, University of Pretoria, Department of Economics, number 202428, Jun.
- Paulo Barbosa & João Cortes & João Amador, 2024, "Distance to Export: A Machine Learning Approach with Portuguese Firms," GEE Papers, Gabinete de Estratégia e Estudos, Ministério da Economia, number 182, Jul, 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, Faculty of Economic Sciences, University of Warsaw, number 2024-13.
- Ruben Wiedemann & Antoine Jacquier & Lukas Gonon, 2024, "Operator Deep Smoothing for Implied Volatility," Papers, arXiv.org, number 2406.11520, Jun, revised Jun 2025.
- 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, Center for Open Science, number hds5g, Jun, DOI: 10.31219/osf.io/hds5g.
- Liyang Wang & Yu Cheng & Ao Xiang & Jingyu Zhang & Haowei Yang, 2024, "Application of Natural Language Processing in Financial Risk Detection," Papers, arXiv.org, number 2406.09765, Jun, 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, Faculty of Economic Sciences, University of Warsaw, number 2024-12.
- 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, Institute of Transportation Studies, UC Davis, number qt46d6d86x, Jul.
- Cai, Xiqian & Chen, Shuai & Cheng, Zhengquan, 2024, "The #MeToo Movement and Judges' Gender Gap in Decisions," GLO Discussion Paper Series, Global Labor Organization (GLO), number 1453.
- Haoren Zhu & Pengfei Zhao & Wilfred Siu Hung NG & Dik Lun Lee, 2024, "Financial Assets Dependency Prediction Utilizing Spatiotemporal Patterns," Papers, arXiv.org, number 2406.11886, Jun.
- Haibo Wang & Lutfu S. Sua & Bahram Alidaee, 2024, "Enhancing supply chain security with automated machine learning," Papers, arXiv.org, number 2406.13166, Jun, revised Jul 2025.
- Rangan Gupta & Christian Pierdzioch & Aviral K. Tiwari, 2024, "Gasoline Prices and Presidential Approval Ratings of the United States," Working Papers, University of Pretoria, Department of Economics, number 202427, Jun.
- Arndt, Sarah, 2024, "Different Newspapers – Different Inflation Perceptions," Working Papers, University of Heidelberg, Department of Economics, number 0748, Jun.