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 (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:

• Honey Batra & Amanda Michaud & Simon Mongey, 2023, "Online Job Posts Contain Very Little Wage Information," NBER Working Papers, National Bureau of Economic Research, Inc, number 31984, Dec.
• Rahlff, Helen & Rinne, Ulf & Sonnabend, Hendrik, 2023, "COVID-19, School Closures and (Cyber)Bullying in Germany," IZA Discussion Papers, IZA Network @ LISER, number 16650, Dec.
• Dandan Qiao & Huaxia Rui & Qian Xiong, 2023, "AI and Jobs: Has the Inflection Point Arrived? Evidence from an Online Labor Platform," Papers, arXiv.org, number 2312.04180, Dec, revised Dec 2025.
• Ramaharo, Franck Maminirina & Rasolofomanana, Gerzhino H, 2023, "Nowcasting Madagascar's real GDP using machine learning algorithms," AfricArxiv, Center for Open Science, number vpuac, Dec, DOI: 10.31219/osf.io/vpuac.
• 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, Swiss Finance Institute, number 23-111, Nov.
• 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, Swiss Finance Institute, number 23-114, Nov.
• Yan Leng & Yuan Yuan, 2023, "Do LLM Agents Exhibit Social Behavior?," Papers, arXiv.org, number 2312.15198, Dec, 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, Center for Open Science, number 8je9g, Dec, DOI: 10.31219/osf.io/8je9g.
• Stefano Bianchini & Moritz Muller & Pierre Pelletier, 2023, "Drivers and Barriers of AI Adoption and Use in Scientific Research," Papers, arXiv.org, number 2312.09843, Dec, revised Feb 2024.
• Francesco Moscone & Elisa Tosetti & Giorgio Vittadini, 2023, "The Role of Economic News in Predicting Suicides," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2023: 32.
• 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 littératie financière, des données vocales et compo," Post-Print, HAL, number hal-04320145, Oct.
• 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, Swiss Finance Institute, number 23-112, Nov.
• Maochun Xu & Zixun Lan & Zheng Tao & Jiawei Du & Zongao Ye, 2023, "Deep Reinforcement Learning for Quantitative Trading," Papers, arXiv.org, number 2312.15730, Dec.
• 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, Swiss Finance Institute, number 23-110, Nov.
• Neil Kichler & Sher Afghan & Uwe Naumann, 2023, "Towards Sobolev Pruning," Papers, arXiv.org, number 2312.03510, Dec, revised Dec 2023.
• Anil R. Doshi & Oliver P. Hauser, 2023, "Generative artificial intelligence enhances creativity but reduces the diversity of novel content," Papers, arXiv.org, number 2312.00506, Dec, 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, arXiv.org, number 2312.15535, Dec.
• Jean Lee & Hoyoul Luis Youn & Josiah Poon & Soyeon Caren Han, 2023, "StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series," Papers, arXiv.org, number 2301.09279, Jan, revised Feb 2023.
• Javad Eshtiyagh & Baotong Zhang & Yujing Sun & Linhui Wu & Zhao Wang, 2023, "A graph-based multimodal framework to predict gentrification," Papers, arXiv.org, number 2312.15646, Dec, 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, arXiv.org, number 2312.02660, Dec, 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, Joint Research Centre, number JRC135070, Oct.
• Miriam Hortas-Rico & Vicente Rios, 2023, "Does women’s political empowerment matter for income inequality?," Working Papers, FEDEA, number 2023-10, Dec.
• 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, London School of Economics and Political Science, LSE Library, number 121048, Nov.
• : Angela C. Lyons & Alejandro Montoya Castano & : Josephine Kass-Hanna & : Yifang Zhang & Aiman Soliman, 2023, "A Machine Learning Approach to Targeting Humanitarian Assistance Among Forcibly Displaced Populations," Working Papers, Economic Research Forum, number 1654, Nov, revised 20 Nov 2023.
• Diana Barro & Luca Barzanti & Marco Corazza & Martina Nardon, 2023, "Machine Learning and Fundraising: Applications of Artificial Neural Networks," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2023: 33.
• Yutong Quan & Xintong Wu & Wanlin Deng & Luyao Zhang, 2023, "Decoding Social Sentiment in DAO: A Comparative Analysis of Blockchain Governance Communities," Papers, arXiv.org, number 2311.14676, Oct, revised May 2024.

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 (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: