Report NEP-BIG-2024-01-15

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:

• Honey Batra & Amanda Michaud & Simon Mongey, 2023. "Online Job Posts Contain Very Little Wage Information," NBER Working Papers 31984, National Bureau of Economic Research, Inc.
• Rahlff, Helen & Rinne, Ulf & Sonnabend, Hendrik, 2023. "COVID-19, School Closures and (Cyber)Bullying in Germany," IZA Discussion Papers 16650, Institute of Labor Economics (IZA).
• Dandan Qiao & Huaxia Rui & Qian Xiong, 2023. "AI and Jobs: Has the Inflection Point Arrived? Evidence from an Online Labor Platform," Papers 2312.04180, arXiv.org, revised Aug 2024.
• Ramaharo, Franck Maminirina & Rasolofomanana, Gerzhino H, 2023. "Nowcasting Madagascar's real GDP using machine learning algorithms," AfricArxiv vpuac, Center for Open Science.
• Jingwei Ni & Julia Bingler & Chiara Colesanti Senni & Mathias Kraus & Glen Gostlow & Tobias Schimanski & Dominik Stammbach & Saeid Vaghefi & Qian Wang & Nicolas Webersinke & Tobias Wekhof & Tingyu Yu , 2023. "chatReport: Democratizing Sustainability Disclosure Analysis through LLM-based Tools," Swiss Finance Institute Research Paper Series 23-111, Swiss Finance Institute.
• Luca Gaegauf & Simon Scheidegger & Fabio Trojani, 2023. "A Comprehensive Machine Learning Framework for Dynamic Portfolio Choice With Transaction Costs," Swiss Finance Institute Research Paper Series 23-114, Swiss Finance Institute.
• Yan Leng & Yuan Yuan, 2023. "Do LLM Agents Exhibit Social Behavior?," Papers 2312.15198, arXiv.org, revised Oct 2024.
• von der Heyde, Leah & Haensch, Anna-Carolina & Wenz, Alexander, 2023. "Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinion," SocArXiv 8je9g, Center for Open Science.
• Stefano Bianchini & Moritz Muller & Pierre Pelletier, 2023. "Drivers and Barriers of AI Adoption and Use in Scientific Research," Papers 2312.09843, arXiv.org, revised Feb 2024.
• Francesco Moscone & Elisa Tosetti & Giorgio Vittadini, 2023. "The Role of Economic News in Predicting Suicides," Working Papers 2023: 32, Department of Economics, University of Venice "Ca' Foscari".
• David Hason Rudd & Huan Huo & Md. Rafiqul Islam & Guandong Xu, 2023. "Churn Prediction via Multimodal Fusion Learning: Integrating Customer Financial Literacy, Voice, and Behavioral Data [Prédiction du churn par apprentissage fusionné multimodal : intégration de la l," Post-Print hal-04320145, HAL.
• Jingwei Ni & Zhijing Jin & Qian Wang & Mrinmaya Sachan & Markus Leippold, 2023. "When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP," Swiss Finance Institute Research Paper Series 23-112, Swiss Finance Institute.
• Maochun Xu & Zixun Lan & Zheng Tao & Jiawei Du & Zongao Ye, 2023. "Deep Reinforcement Learning for Quantitative Trading," Papers 2312.15730, arXiv.org.
• Tobias Schimanski & Julia Bingler & Camilla Hyslop & Mathias Kraus & Markus Leippold, 2023. "ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets," Swiss Finance Institute Research Paper Series 23-110, Swiss Finance Institute.
• Neil Kichler & Sher Afghan & Uwe Naumann, 2023. "Towards Sobolev Pruning," Papers 2312.03510, arXiv.org, revised Dec 2023.
• Anil R. Doshi & Oliver P. Hauser, 2023. "Generative artificial intelligence enhances creativity but reduces the diversity of novel content," Papers 2312.00506, arXiv.org, revised Mar 2024.
• Soheila Khajoui & Saeid Dehyadegari & Sayyed Abdolmajid Jalaee, 2023. "Forecasting exports in selected OECD countries and Iran using MLP Artificial Neural Network," Papers 2312.15535, arXiv.org.
• Jean Lee & Hoyoul Luis Youn & Josiah Poon & Soyeon Caren Han, 2023. "StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series," Papers 2301.09279, arXiv.org, revised Feb 2023.
• Javad Eshtiyagh & Baotong Zhang & Yujing Sun & Linhui Wu & Zhao Wang, 2023. "A graph-based multimodal framework to predict gentrification," Papers 2312.15646, arXiv.org, revised Dec 2023.
• Nir Chemaya & Lin William Cong & Emma Jorgensen & Dingyue Liu & Luyao Zhang, 2023. "A Dataset of Uniswap daily transaction indices by network," Papers 2312.02660, arXiv.org, revised Sep 2024.
• HRADEC Jiri & OSTLAENDER Nicole & BERNINI Alba, 2023. "FABLES: Framework for Autonomous Behaviour-rich Language-driven Emotion-enabled Synthetic populations," JRC Research Reports JRC135070, Joint Research Centre.
• Miriam Hortas-Rico & Vicente Rios, 2023. "Does women’s political empowerment matter for income inequality?," Working Papers 2023-10, FEDEA.
• Al-Ubaydli, Omar & Cassidy, Alecia & Chatterjee, Anomitro & Khalifa, Ahmed & Price, Michael, 2023. "The power to conserve: a field experiment on electricity use in Qatar," LSE Research Online Documents on Economics 121048, London School of Economics and Political Science, LSE Library.
• Item repec:erg:wpaper:1654 is not listed on IDEAS anymore

• Diana Barro & Luca Barzanti & Marco Corazza & Martina Nardon, 2023. "Machine Learning and Fundraising: Applications of Artificial Neural Networks," Working Papers 2023: 33, Department of Economics, University of Venice "Ca' Foscari".
• Yutong Quan & Xintong Wu & Wanlin Deng & Luyao Zhang, 2023. "Decoding Social Sentiment in DAO: A Comparative Analysis of Blockchain Governance Communities," Papers 2311.14676, arXiv.org, revised May 2024.