Report NEP-BIG-2024-01-22

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:

• Spandagos, Constantine & Tovar Reaños, Miguel & Lynch, Muireann Á, 2023. "Energy poverty prediction and effective targeting for just transitions with machine learning," Papers WP762, Economic and Social Research Institute (ESRI).
• Franck Jaotombo & Luca Adorni & Badih Ghattas & Laurent Boyer, 2023. "Finding the best trade-off between performance and interpretability in predicting hospital length of stay using structured and unstructured data," Post-Print hal-04339462, HAL.
• Milan Ficura & Jiri Witzany, 2023. "Historical Calibration of SVJD Models with Deep Learning," Working Papers IES 2023/36, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2023.
• Zeteng Lin, 2023. "How Generative-AI can be Effectively used in Government Chatbots," Papers 2312.02181, arXiv.org.
• Franck Jaotombo & Vanessa Pauly & Guillaume Fond & Veronica Orleans & Pascal Auquier & Badih Ghattas & Laurent Boyer, 2023. "Machine-learning prediction for hospital length of stay using a French medico-administrative database," Post-Print hal-04325691, HAL.
• Radhika Prosad Datta, 2023. "Leveraging Sample Entropy for Enhanced Volatility Measurement and Prediction in International Oil Price Returns," Papers 2312.12788, arXiv.org.
• Alex Kim & Sangwon Yoon, 2023. "Corporate Bankruptcy Prediction with Domain-Adapted BERT," Papers 2312.03194, arXiv.org.
• Augusto Cerqua & Marco Letta & Fiammetta Menchetti, 2023. "Causal inference and policy evaluation without a control group," Papers 2312.05858, arXiv.org, revised Oct 2024.
• 'Alvaro Cartea & Gerardo Duran-Martin & Leandro S'anchez-Betancourt, 2023. "Detecting Toxic Flow," Papers 2312.05827, arXiv.org.
• Yuan Liao & Xinjie Ma & Andreas Neuhierl & Zhentao Shi, 2023. "Economic Forecasts Using Many Noises," Papers 2312.05593, arXiv.org, revised Dec 2023.
• Paul Clarke & Annalivia Polselli, 2023. "Double Machine Learning for Static Panel Models with Fixed Effects," Papers 2312.08174, arXiv.org, revised Sep 2024.
• Florian Englmaier & Michael Hofmann & Stefanie Wolter, 2023. "Mapping the Dynamics of Management Styles— Evidence from German Survey Data," Rationality and Competition Discussion Paper Series 481, CRC TRR 190 Rationality and Competition.
• Clotilde Napp, 2023. "Gender stereotypes embedded in natural language are stronger in more economically developed and individualistic countries," Post-Print hal-04316389, HAL.
• Marco Gortan & Lorenzo Testa & Giorgio Fagiolo & Francesco Lamperti, 2023. "A unified repository for pre-processed climate data weighted by gridded economic activity," Papers 2312.05971, arXiv.org.
• Yijun Li & Cheuk Hang Leung & Xiangqian Sun & Chaoqun Wang & Yiyan Huang & Xing Yan & Qi Wu & Dongdong Wang & Zhixiang Huang, 2023. "The Causal Impact of Credit Lines on Spending Distributions," Papers 2312.10388, arXiv.org.
• David Hason Rudd & Huan Huo & Guandong Xu, 2023. "Predicting Financial Literacy via Semi-supervised Learning," Papers 2312.10984, arXiv.org.
• Tobias Schimanski & Chiara Colesanti Senni & Glen Gostlow & Jingwei Ni & Tingyu Yu & Markus Leippold, 2023. "Exploring Nature: Datasets and Models for Analyzing Nature-Related Disclosures," Papers 2312.17337, arXiv.org.
• Gregory Faletto, 2023. "Fused Extended Two-Way Fixed Effects for Difference-in-Differences With Staggered Adoptions," Papers 2312.05985, arXiv.org, revised Oct 2024.
• Hugo Thimonier & Fabrice Popineau & Arpad Rimmel & Bich-Li^en Doan & Fabrice Daniel, 2023. "Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments," Papers 2312.13896, arXiv.org.
• Matthew Bone & Eugenia Ehlinger & Fabian Stephany, 2023. "Skills or Degree? The Rise of Skill-Based Hiring for AI and Green Jobs," Papers 2312.11942, arXiv.org, revised Nov 2024.
• Zhongyang Guo & Guanran Jiang & Zhongdan Zhang & Peng Li & Zhefeng Wang & Yinchun Wang, 2023. "Shai: A large language model for asset management," Papers 2312.14203, arXiv.org.